Business mathematics and systems Books

Book SynopsisData is a must-have for any business looking to thrive. So is having leadership who ''get'' data and use it to support their decision-making.But how do you embed the use of data and analytics across your organisation so they truly support every process end-to-end?Becoming data literate in this way is a journey that involves vision, strategy, value creation, culture and data foundations. With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.

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Book SynopsisProvides information necessary to set up a data quality program, and to make and maintain improvements to data quality. The text covers all aspects of data management to provide analysis of quality problems and their impacts, potential solutions, and how they are combined.Table of ContentsWhy Care About Data Quality: Poor Data is Pervasive. Poor Data Quality Impacts Business Success. Data Quality Can be a Source of Competitive Advantage. Strategies for Improving Data Quality: Which Data to Improve? Improving Data Accuracy for One Database. Improving DataAccuracy for Two Databases. Improving Data Accuracy in the Warehouse. Data Quality Policy: What Should a Data Policy Cover? Needed Background on Data. A Model Data Policy. Deploying the Policy. Starting and Nurturing a Data Quality Program: A Model for Successful Change. Getting Started. Growth Stages. Becoming Part of the Mainstream. The Role of Senior Management. Process Management: Future Performance of Processes. Step 1 -- Estabish a Process Owner and Management Team. Step 2 -- Describe the Process and Understand Customer Needs. Step 3 -- Establish a Measurement System. Step 4 -- Establish Statistical control and Check Conformance to Requirements. Step 5 -- Identify Improvement Opportunities. Step 6 -- Select Opportunities. Step 7 -- Make and Sustain Improvements. Process Representation and the Functions of Information Processing Approach: Basic Ideas. The Information Model/The FIP Chart. Enhancements to the Basic Information Model. Measurement and Improvement Opportunities. Data Quality Requirements: Quality Function Deployment. Data Quality Requirements for an Existing Information Chain. Data Quality Requirements at the Design Stage. Statistical Quality Control: Variation. Stable Processes. Control Limits -- Statistical Theory and Methods of SQC. Interpreting Control Charts. Conformance to Requirements. Measurement Systems, Data Tracking, and Process Improvement: Measurement Systems. Process Requirements. What to Measure. The Measuring Device and Protocol -- Data Tracking. Implementation. Just What is (or are) Data?: The Data Life-Cycle. Data Defined. Management Properties of Data. A Model of an Enterprise's Data Resource. Information. Dimensions of Data Quality: Quality Dimensions of a Conceptual View. Quality Dimensions of Data Values. Quality Dimensions of Data Representation. More on Data Consistency. Data Quality and Re-Engineering at AT&T: First Steps. Re-Engineering. Data Quality Across the Corporation -- Telstra?s Experience: Program Definition. First Steps. Full Program. Results. Summary -- Roles and Responsibilities: Roles for Leaders. Roles for Process Owners. Roles for Information Professionals. Final Remarks -- The Three Most Important Points. Glossary. Index.

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Book SynopsisThis is the sixth volume in a series dealing with such topics as information systems practice and theory, information systems and the accounting/auditing environment, and differing perspectives on information systems research.

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Book SynopsisThis textbook provides students with an easy to use, proven roadmap for completing a successful consulting project from start to finish.Primarily designed for students who work as outside consultants on solving client problems and investigating potential opportunities, the textbook's structure first explains the consulting process to students and then depicts it in a chronological flow, using real-life examples to demonstrate practical application. Each section builds upon the previous one, focusing on the development of critical thinking, problem solving, and communication skills for employability. Now in its sixth edition, this text has been fully revised to bring it up to date with the current business context and global environment, including: A major expansion of the tools and resources needed for students to conduct research on a client's situation. A new final chapter that ties the overarching consulting process together and focuses on hTrade Review‘This book is an insightful guide full of vital information for anyone leading student consulting projects. The instructions that range from the consulting framework to developing team dynamics ensure that your students will engage, discover, and grasp the intricacies of business consulting.’ William C. McDowell, Turner Chair of Entrepreneurship / Executive and Academic Director, Turner School of Entrepreneurship and Innovation at Bradley University, USA ‘Not only does Management Consulting Projects, 6th edition, help students understand the underlying principles of consulting projects, teamwork, and hands-on consulting with clients, it provides concrete examples of documents, processes, and key success factors as a "recipe book" for a successful consulting team-client experience. With this text in hand, students’, instructors’, and clients’ experiences with these projects will undoubtedly be more successful.’ Whitney Peake, Vitale Professor of Entrepreneurship and Chair, Management Department, Western Kentucky University, USA Table of Contents1. Experiential Learning Using Consulting 2. Developing the Consulting Team and its Dynamics 3. Identifying the Client’s Issues Through Root Cause Analysis 4. Client Contract Development and Relationship Management 5. Project Deliverables 6. Professional Development and Conclusion

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Book SynopsisBusiness Finance Planning with Microsoft Excel shows how to visualize, plan, and put into motion an idea for creating a start-up company. Microsoft Excel is a tool that makes it easier to build a business financial planning process for a new business venture. With an easy-to follow structure, the book flows as a six-step process: Presenting a case study of a business start-up Creating goals and objectives Determining expenses from those goals and objectives, Estimating potential sales revenue based on what competitors charge their customers Predicting marketing costs Finalizing the financial analysis with a of financial statements. Written around an IT startup case study, the book presents a host of Excel worksheets describing the case study along with accompanying blank forms. Readers can use these forms in their own businesses, so they can build parts of their own busiTable of ContentsChapter 1. In the Beginning. Chapter 2. Your Business Goals. Chapter 3. Predicting Expenses with SMART Objectives. Chapter 4. Predicting Sales Using Your Competitors. Chapter 5. Predicting Marketing Costs. Chapter 6. Formal Financial Planning and Budgeting. Appendix A. Case Study. Appendix B. Your Business. Appendix C. Tools and Additions.

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Book SynopsisDigitalizing Sustainability outlines why business as usual' isn''t working and sets out five Transformational Forces which can be used to innovate and scale sustainability solutions using digital means.This transformation will be powered by a range of digital technologies that have the potential to ideate, propel and scale sustainability solutions in an exponential manner over the next decade. This book introduces the Five Forces of Digital Transformation. These forces all share a common root they are powered by digital technologies that enable them to operate at the speed and scale that we need to achieve global transformation for people and planet. Working together, these forces help overcome many of the barriers and pitfalls that humanity has faced in trying to achieve sustainability 2.0 and will help you tackle these questions: Why has sustainability 1.0 failed us? What are the bugs and bad code in our operating systems that wTrade Review"It has reframed my thinking around what it means to scale sustainability globally, and I share Kathryn’s esteem for the common good of the planet as a lens for rewiring our systems and in turn, our behaviors, to achieve universal impact." Lindsey Peterson, Global President of Earthforce at Salesforce "Kathryn ably stares down the 'hard problem' of sustainability… bringing her pragmatic systems thinking to the challenge. The five transformational forces will re-shape the questions you ask in your business, in policy making, decision making and strategy setting. How might we harness these transformational forces to create a sustainable planet?" Meredith England, Director of Systems Innovation, Climate-KIC Australia "Kathryn has done an amazing job of not only sounding the climate alarm bells but she also intelligently processes how digital technologies and transformations are crucial solutions to scale the change needed." Eddie Listorti, CEO, Viridios Capital Global "Kathryn Sforcina is a force of nature! Her passion for sustainability and creating change in the world is breathtaking, this new book from her offers both a stark reality check and a way forward through the complex and challenging world and contribution of the digital reality in which we live today. Kathryn Sforcina’s work offers an invaluable contribution to the pathway to meet the United Nations Sustainability Goals. This work is insightful, challenging and deeply encouraging." Stephen Moss, Managing Director and Chair, Symon Capital "We’re all pretty clear on the why and the what, but we’re missing the how. 'HOW' do we fundamentally shift our approach to enterprise in a way that harnesses the power of technology to honour our humanity whilst recognising the urgency of the crisis we are facing? Never before have we needed the finely tuned minds of today’s thinkers pointed so directly to solve the crises we are facing, like we do now. Sforcina’s five forces has done just that, by taking the familiar and applying it to the wicked problem of sustainable growth.Sforcina’s approach to these five forces, takes a sustainability mindset and turns it from being an esoteric construct or worse, an after-thought to business or commercial strategy, and breaks it down into something clear, tangible and most importantly, 'followable'." Olivia Tyler, Managing Director AUS/NZ, Edge Environment Table of ContentsPart One: Understanding the "Hard Problem" for Sustainability Chapter One: Tracking the trajectory of Spaceship Earth Chapter Two: Re-coding the "operating systems" of Spaceship Earth Chapter Three: Introducing the five forces of digital transformation Part Two: The Five Forces of Digital Transformation Chapter Four: Transformational Force #1: Sense-Making Chapter Five: Transformational Force #2: Socializing Chapter Six: Transformational Force #3: Valuing Chapter Seven: Transformational Force #4: Embedding Chapter Eight: Transformational Force #5: Adapting Part Three: When These Forces Converge Chapter Nine: The dark side of the force Chapter Ten: Convergence by Design Chapter Eleven: May the transformational forces be with you Index

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Book SynopsisThis volume presents a comprehensive analysis of the business, financial and economic aspects of emerging markets. Using case studies from India, Turkey, Bangladesh and Africa, it discusses themes such as megaprojects, infrastructure and sustainability; cross-border mergers and acquisitions; a new paradigm for educational markets; exports competitiveness; work engagement in service sector; mobile banking and crowdfunding; and venture capital flow into emerging economies, to focus on the trade, foreign investment, financial, and social progress of these economies. The chapters review the current state, learnings, changing scenarios, business practices, and financial and economic perspectives across emerging markets while examining progression, challenges and the way forward.With its rigorous approach and topical content, this book will be useful to scholars and researchers of management studies, business management, financial management, business economics, international businTable of ContentsDoing Business in Emerging Markets: Progress and Promises — An Introduction 1. Megaprojects, Infrastructure and Sustainability in Emerging Markets 2. Developing a Conceptual Framework for Determinants of Exports Competitiveness in Emerging Markets 3. Learning Organization for Attaining Inclusive Growth: A New Paradigm for the Emerging Educational Market 4. Investment Motivations and Institutional Quality: Cross-Border Mergers and Acquisitions by Turkish MNCs 5. Africa Through Times: Recent Successes and Lessons for Emerging Markets 6. Towards Enhancing Work Engagement in Service Sector in India: A Conceptual Model 7. Opportunities and Challenges of Sustainable Marketing Practices in Emerging Markets 8. Indian–Russian Bilateral Relations: Two Emerging Giants and their Business Relationship 9. Mobile Banking for Financial Inclusion in a Developing Economy: Evidence from Bangladesh 10. Crowdfunding in the Emerging Markets 11. Spillover Effect of Quantitative Easing on Venture Capital Flow into the Emerging Economies: A Case of India

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Book SynopsisThe Remote Work Handbook: The Definitive Guide for Operationalizing Remote Work as a Competitive Business Strategy is for readers seeking to leverage the business benefits of a flexible, remote workforce. It is a practical guide for building and implementing remote work at any size organization. C-suite executives, operation leaders, business owners, or entrepreneurs who recognize the workplace is changing can use it to re-tool their operations for a strategic business advantage. Mari Anne Snow, the author, is a recognized remote work expert with over 20 years of experience leading remote teams and has re-written the rules of leadership to unlock the potential in remote and distributed teams. In this book, she shares all her secrets. The book explores the untapped potential of remote teams and lays out the business case for adopting a new, flexible workplace model to build organizational resilience and a competitive edge. It takes the reader through Table of ContentsChapter 1: Workplace flexibility is a smart business move Chapter 2: Build it right Chapter 3: The 5 organizational components of remote work Chapter 4: Component one: Infrastructure Chapter 5: Component two: Operational protocols Chapter 6: Component three: Performance accountability measures Chapter 7: Component four: Talent Management Systems Chapter 8: Component five: Remote workforce training Chapter 9: Operationalizing your remote work business model Chapter 10: Managing change Chapter 11: Multi-channel communications Chapter 12: Institutionalizing remote work Chapter 13: Build on team achievements

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Book SynopsisFamily Business Management provides an accessible overview of the core aspects of family business, with an international, practice-based perspective.Structured in four parts, the book covers key topics such as family firm goals, conflict management, human resources, strategy, financial management, family and business governance, and succession planning. A wide variety of cases and examples are used throughout the book to highlight cultural and institutional differences between family businesses in contrasting contexts. Each chapter offers a detailed case study and boxed examples, illustrating real-life family business situations and stimulating students' critical thinking and decision-making. Readers are further supported by learning objectives, discussion questions, and further reading suggestions. Digital supplements for instructors include lecture slides, a test bank, and additional case studies.This textbook is an ideal companion for family business courseTrade Review"This is a relevant and timely book that deals with the complex dynamics of family businesses. It showcases an in-depth intellectual analysis of family business insights alongside a comprehensive collection of cases, examples and questions that stimulate discussion and debate. It is a must read for anyone interested to understand more about how family firms function, why they matter and what makes them unique worldwide." Dr. Allan Discua Cruz, Director, Centre for Family Business, Lancaster University, UK"Family Business Management is an essential book that provides a rare insight into the dynamics of family businesses in the Arab Gulf region and beyond. A significant part of the material is dedicated to fundamental matters, such as succession planning, that are often overlooked in the Arab Gulf region. As family businesses continue to gain prominence in local and regional economies, this book offers business family members, economists, and academics a clearer guide to understand these important institutions."Sultan Sooud Al Qassemi, Lecturer, Bard College Berlin and Fellow at Wissenschaftskolleg zu Berlin – Institute for Advanced Study"Being a third-generation family business executive, I have benefited from Prof. Dr. Rodrigo Basco’s advice on numerous occasions regarding succession, governance, and conflict management. I believe this book will help different generations of family members navigate their unique journeys and reflect on the most important issues, such as governance, succession planning, and family transparency, among others."Saud Majid AlQasimi, CEO, Al Saud Co."A world-renowned scholar coming from a family business background, Rodrigo Basco curates a thoughtful journey to greatly inspire family business leaders, practitioners, and all other learners. Gradually moving from managing family dynamics to governance and succession, the text demystifies complexities of family businesses and offers critical and actionable insights into planning and strategizing for families in transition. The global selection of real cases, coupled with carefully themed discussions and learning activities, is of enormous benefit to the family business community. This text has my highest recommendation."Jeremy Cheng, Researcher, The Chinese University of Hong Kong; Founder, GEN + Family Business Advisory & Research, Hong Kong SARTable of ContentsContentsPrefacePart I _ Introduction to family business Chapter 1 _ Approaching the concept of family business Introduction Family business definition Type of family businesses Family-first family firms Business-first firms Family business–first family firms Immature family firms The importance of studying family business governance and management Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: Birla—An entrepreneurial family Case for analysis II: Chick-fil-A—A family serving quality and tradition Case study: Wal-Mart Chapter 2 _ Family business dynamics: Individual needs, goals, expectations, and emotions Introduction The three-circle model Roles Goals Psychological needs Expectations The evolutionary perspective of the three-circle model Emotions in the family business Emotions in family business across contexts Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: Pritzker family across generations Case for analysis II: The Henriquez Group Case Study: Estee Lauder Companies Chapter 3 _ Interpersonal relationships and communication in family businesses Introduction Interpersonal relationships in the family entity Couple relationships and family business Sibling relationships and family business Parent–child relationships and family business In-law relationships and family business Family communication Family genogram Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: Case for analysis I: Dassler brothers Case for analysis II: The co-preneurs Mr. & Mrs. Hartz Case Study: British royal family Part II _ Management in family business Chapter 4 _ Conflict, conflict management, and communication Introduction Definition of conflicts in family businesses The conflict process in family businesses Sources of conflicts in family business Conflict and context Types of family business conflicts Conflict management Conflict-resolution techniques Conflict-stimulation techniques Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: The team is broken! Case for analysis II: Steinberg family business Case Study: The fate of Gucci Chapter 5 _ Human resource management in family businesses Introduction Nepotism Human resource approach Origins of asymmetric treatment Justice/fairness Levels of justice Dysfunctional behavior Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: What a mistake! Case for analysis II: Embracing nepotism Case Study: It is just a scandal or the scandal Chapter 6_Strategic and financial management in family businesses Introduction Family business goals Family business goals as reference points Socioemotional wealth as an endowment effect Strategic and financial behavior Strategic management in family business Market domain Internal competitive advantages External competitive advantages Nonmarket domain Combination of market and nonmarket domains as a determinant of performance and survival Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: ALDI and the power of family ties Case for analysis II: Feetures case study Case study: An upside down strategy for LEGO Part III _ Governance in family business Chapter 7 _ Ownership governance in family business Introduction Corporate governance in family businesses Ownership structure and governance Type of owners Ownership assembly or shareholder meeting Shareholder agreement Benefits of shareholder agreements Evolutionary approach to ownership governance Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: The united family behind LEGO Case for analysis II: H51—The mission to preserve the Hermès family identity Case Study: "The Factory" of the human misery Chapter 8 _ Business governance in family business Introduction Board of directors Board of directors’ tasks Types of boards of directors Board of directors composition The evolution of the board across the lifecycle of the family business Board of director practicalities Number of board members Recruiting board members Regulation of the board of directors Additional activities and reading material Classroom discussion Additional readings Classroom activity Case for analysis I: Al-Wadi Group—Corporate governance Case for analysis II: Volkswagen scandal and boardroom politics Case study: In between the board of directors and family shareholders Chapter 9 _ Family governance in family business Introduction Types of family cohesion Family leader—Chief family officer Family governance viewed across an evolutionary perspective Family meetings Family assembly Family council Family policies Family wealth governance Family chapter or constitution Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: The family organization behind Al Handal International Group (HIG) Case for analysis II: Merck—A family transcending generations Case study: Al Saud Company and the first serious crisis Part IV _ Succession in family business Chapter 10 _ Ownership, governance, and management succession Introduction Succession of what? Types of succession in family business Exit strategy (from a family business to a nonfamily business) Complexity in family business succession Barriers to intra-family management succession Succession process perspective Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: The global pasta—Barilla Case for analysis II: Succession to succeed in the Middle East Case study: How far can U-Haul go from here? Chapter 11 _ The incumbent generation in family business succession Introduction Senior generations across time Founder generation Second generation Third and further generations Succession strategies Keep relying on informal mechanisms to address succession Formalize corporate governance to address succession Pruning the family ownership tree Plan the succession process Type of incumbent based on their retirement styles Passive family members Transgenerational value creation Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: Holly in her father’s shoes Case for analysis II: What’s next? Retirement Case study: Can I stay a bit more with all of you? Group Olive Mendoza Chapter 12 _ The next generation in family business succession Introduction The Disney effect in family business succession Managerial succession Successor intentions Parent–child relationships Successor career-path intentions Successor commitment Successor entry and career paths Model of change in family business succession Next-generation ownership succession Next-generation governance succession Additional activities and reading material Classroom discussion questions Additional readings Classroom activity Case for analysis I: Succession in the luxury house of Zegna Case for analysis II: The succession race at LVMH Case study: Al Saud Company managing changes from the second generation to the third

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Book SynopsisExploring everything from company incorporation and marketing, to legal, finance and festivals, Starting a Theatre Company is the complete guide to running a low-to-no budget or student theatre company. Written by an experienced theatre practitioner and featuring on-the-ground advice, this book covers all aspects of starting a theatre company with limited resources, including how to become a company, finding talent, defining a style, roles and responsibilities, building an audience, marketing, the logistics of a production, legalities, funding, and productions at festivals and beyond. The book also includes a chapter on being a sustainable company, and how to create a mindset that will lead to positive artistic creation. Each chapter contains a list of further resources, key terms and helpful tasks designed to support the reader through all of the steps necessary to thrive as a new organisation. An eResource page contains links to a wide range of industry created templTable of Contents1. Introduction 2. Defining your Style and Company Voice 3. Becoming a Company 4. Roles and Responsibilities 5. Building an Audience 6. Marketing and Branding 7. Logistics of Production 8. Legal and Safety 9. Finance 10. Raising Funds 11. Festivals 12. Putting on Work 13. Business Sustainability 14. Failure, Endings and Exit 15.Final Words

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Book SynopsisIllicit business is big business. It covers a diverse range of activities from money laundering, drug trafficking and human trafficking through to the manufacture of counterfeit goods and the multiple activities in informal and shadow economies. This book introduces the world of illegal business.The authors contextualise the evolution in practices of illegal business around the world, highlighting the importance of organised crime, shadow economies, and informal sectors. Incorporating scholarly insights with real world examples, the book provides a much-needed business and economics analysis of a subject that is otherwise dominated by criminologists.With a range of case studies, this book provides a global approach that will be valuable reading for students seeking to understand the business of crime.

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Book SynopsisCybersecurity risk is a top-of-the-house issue for all organizations. CybertaxManaging the Risks and Results is a must read for every current or aspiring executive seeking the best way to manage and mitigate cybersecurity risk. It examines cybersecurity as a tax on the organization and charts the best ways leadership can be cybertax efficient. Viewing cybersecurity through the cybertax lens provides an effective way for noncybersecurity experts in leadership to manage and govern cybersecurity in their organizations The book outlines questions and leadership techniques to gain the relevant information to manage cybersecurity threats and risk. The book enables executives to: Understand cybersecurity risk from a business perspective Understand cybersecurity risk as a tax (cybertax) Understand the cybersecurity threat landscape Drive business-driven questions and metrics for managing cybersecurity risk Understand the Seven C'Table of ContentsChapter 1. What Is Cybertax? Chapter 2. Cybertax Management Chapter 3. Cybertax Efficiency Chapter 4. Know Your Adversary Chapter 5. Governing Cybersecurity Risk Chapter 6. Solution—CYBERPHOS

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Book SynopsisTechnology entrepreneurship refers to business activities that are based on new scientific insights and new technical developments. It describes the process by which enterprising teams and individuals convert new technical knowledge into products and services. It encompasses entrepreneurial pursuits in all fields of engineering and science where progress opens novel ways of creating value. Often, these activities are based on intellectual property, although it may also make sense to consciously pursue an open technology strategy. Entrepreneurial activities in these domains lead to ventures with specific characteristics.Technology Entrepreneurship in Theory and Practice compiles the essential research knowledge about principles and practices in technology entrepreneurship. Systematically presenting theory and practice for entrepreneurs coming from an engineering or scientific background, the authors assemble a comprehensive overview of the subject and enhance it with th

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Book SynopsisThe combination of entrepreneurship, innovation, and technology has become the source of disruptive business models that transform industries and markets. The integrative understanding of these three drivers of today's economy is fundamental to business.Entrepreneurship, Innovation, and Technology aims to connect core models and tools that are already created by well-known authors and scholars in order to deliver a unique guide for building successful business models through the adoption of new technologies and the use of effective innovation methods. The book goes through the entrepreneurial lifecycle, describing and applying core innovation models and tools such as the business model canvas, lean startup, design thinking, customer development, and open innovation, while taking into consideration disruptive technologies such as mobile internet, cloud computing, internet of things, and blockchain. Finally, the book describes and analyzes how successful cases have beeTable of ContentsAcknowledgementsChapter 1: Stages of the Entrepreneurial Lifecycle1.1 Introduction 1.2 Business Opportunities1.3 Ideation and Testing: Ideas, Products, and Customers1.4 Business Model Generation1.5 Resource Acquisition1.6 Management and ExecutionCase Study Nº1 The McDonald's Story: The FounderCase Study Nº2 Data-Driven Innovation: The Case of Luko1.7 Essential and Additional ResourcesChapter 2: Business Model Innovation Processes 2.1 Introduction 2.2 Business Models2.3 The Technological Basis of Disruption2.4 Disruptive Innovation2.5 Business Model Innovation 2.6 Application of Information Technology into the Innovation of Business ModelsCase Study Nº3 Disruptive Innovation of the Automotive IndustryCase Study Nº4 Tesla’s High-End Disruption Model2.7 Essential and Additional ResourcesChapter 3: Methods and Tools for Innovation3.1 Introduction3.2 Methods of Innovation3.3 Theories of Innovation 3.4 Tools for InnovationCase Study Nº 5 Disruptive Innovation in the Education SectorCase Study Nº 6 Insurtech Community Hub (ICH) and Bdeo3.5 Essential and Additional ResourcesChapter 4: Entrepreneurial Skills 4.1 Introduction4.2 Adaptability4.3 Find and Manage People4.4 Managing Cash Effectively4.5 Focus on Customers4.6 Selling4.7 Humility 4.8 Creating and Managing Alliances4.9 Creativity and Innovation4.10 Optimism and InspirationCase Study Nº 7: Imogen Heap – Will There Be a Blockchain Revolution?Case Study Nº 8: New Methods for Digital Skills Education in Developing Countries4.11 Essential and Additional ResourcesChapter 5: Entrepreneurship and Innovation Management, an Integrative Approach5.1 Introduction5.2 Managing the Entrepreneurial Journey 5.3 Business Model Innovation5.4 Innovation Methods and Tools5.5 Becoming a Successful Entrepreneur5.6 Final ReflectionCase Study Nº 9: The Entrepreneurial Journey of AirbnbCase Study Nº 10: Deki – A Charity, Evolving Over Time5.7 Essential and Additional ResourcesIndex

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Book SynopsisThis book offers a contemporary' understanding of families in business and serves as a springboard for ongoing evolution of families, their composition, transformations, and activities.The first chapter in this volume highlights the different approaches to family and concludes that identifying and understanding the entity family in business' is the cornerstone to understanding behaviours of family businesses. The concept of family in business' as a socially constructed entity allows for not only a broader scope of the concept to include individuals who share a faith (chapter 2), but also multi- generational families and chosen families. Narratives, or stories, are means for families in business to mark the boundary of the family in business (chapter 3), because not all members of the family are necessarily members of the family in business. Families and their businesses influence each other (chapter 4) and engender the family influence on the firm (familiness') and firm infl

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Book SynopsisThis international case study book provides 28 expertly curated case studies on entrepreneurship and innovation in tourism, each with detailed implementation instructions for the instructor to maximise student participation and learning.The dynamic characteristic of the tourism industry under the influence of micro and macro environment factors requires future professionals to be equipped with appropriate skills and competencies to deal with change and development in real-life practices. Curated and developed by industry experts and practitioners, these case studies embody real-world scenarios with the aim of best preparing students for their future careers. This compelling set of case studies explores the dynamics of entrepreneurship in global context, analyses emerging markets and new business models, and elicits the implications of innovation and entrepreneurship in different contexts and within a transdisciplinary perspective. The cases illustrate innovation and entrepren

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Book SynopsisEmployee Learning in Small Organisations provides a clear, concise and comprehensive analysis to the theory and practice of employee learning in micro and small enterprises.

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Book SynopsisAn idea is the first step in the process of creating a business. Most ideas, no matter how brilliant they may seem, never actually end up becoming a business. This book explains how to: Look for new small business ideas. Evaluate ideas for their commercial potential. Unlock the strategies that turn an idea into a business. English's focus is on finding the seed of an idea and the process of developing it into a genuine business opportunity. He includes practical diagnostic reality checks' developed in his small business workshops. He also includes an analysis of changes in the Australian small business environment as result of Covid-19. This practical volume is ideal for any budding entrepreneur looking for guidance on how to evaluate a business opportunity and build a commercial strategy around it. It will also be an ideal secondary reading for books on entrepreneurship and small business coursesTable of ContentsIntroduction Part A Unlocking an Idea 1. Turning Ideas into Opportunities 2. Start-up Essentials 3. Getting Help Part B Unlocking a Marketing Strategy 4. Marketing Strategy 5. Traditional Marketing 6. Digital Marketing Part C Unlocking an Operating Strategy 7. Service Operations 8. Online Operations 9. Retail Operations 10. Manufacturing Operations Part D Unlocking a Financial Strategy 11. Money Management 12. Financing and Taxation. Appendix: Commercial Feasibility Rating

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Book SynopsisThe strategic journey taken by firms starts with entrepreneurial inception and can go all the way through adaptation to sustainable enterprise, exit or failure. This book charts how new ventures grow through co-evolution and adaptation to get past the initial problems of being new, connecting theories of strategic management and entrepreneurship.Conceptually, the author paints an integrated picture of the challenges arising from the enterprise life cycle. Based on research, the book is also accessible to practitioners and students, in that it provides practice-oriented takeaways about how enterprises can evolve and thrive in turbulent times.Together with executives, entrepreneurs and policy makers, the book is intended for scholars, and postgraduate students, interested in understanding strategic management and entrepreneurship from an evolutionary perspective.

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Book SynopsisOrganizations of all sizes struggle to secure their data in a constantly evolving digital landscape. Expanding digital footprints and the rapid expansion of cloud strategies arising from the COVID-19 pandemic increase an organization's attack surface. When combined with limited resources caused by the cybersecurity skills gap, securing small and mid-sized business IT infrastructures becomes more complicated. With limited staffing and budgetary restrictions, small businesses need to create cost-effective, security-driven programs that protect data while also meeting increasingly stringent compliance requirements.This book bridges the gap between complex technical language and business objectives to create a security-first review of the security and compliance landscapes. Starting from the premise that with security comes compliance, this book starts by defining security-first and then walking readers through the process of creating a holistic security and compliance program.Table of ContentsChapter 1 Into the Mind of a Malicious ActorChapter 2 Reviewing the Compliance LandscapeChapter 3 Compliance RiskChapter 4 Looking at Risk through a Security LensChapter 5 How to Set ControlsChapter 6 Continuous MonitoringChapter 7 Vendor Risk Management: Securing the Supply ChainChapter 8 Calculating the Total Cost of ComplianceChapter 9 Information Security Audit: The What, How, and Why Chapter 10 Cyber Liability InsuranceChapter 11 Cybersustai nability: Ethical Data Handling for Corporate ResponsibilityChapter 12 Magic 8 Ball Says "Yes"

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Book SynopsisImpact intrapreneurs at some of the most powerful organizations in the world are designing new, more sustainable businesses from within. They put their values to work and transform their corporations into a force for good. In a corporate world that still largely prioritizes profit above all else, these people shine a light on how to balance profit with impact, and the inspirational stories captured in this book guide leaders and managers to do the same.The lack of purpose beyond profit is causing millions of people to question their work and even to leave the corporate world altogether. Companies are struggling with recruitment and retention, as people seek a greater sense of purpose. For many, this would mean finding a way to use their work as a platform for positive social and environmental impact. This book will inspire this change for leaders seeking a different and better way forward. Structured around the stages of Joseph Campbell's hero's journey upon which Star Wars

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The progress of several businesses was severely challenged through the advent of the COVID-19 pandemic, with several businesses collapsing globally. Apart from the pandemic, the business posture and dynamics of yesteryear has significantly changed, as the way business is conducted today, especially in this era of Industry 4.0 and the proliferation of technology-assisted processes, have created a new environment for doing business. Comparatively, yesterday's businesses seemed to have been in the dark, keeping itself within limited geographical locations, contacts, and markets. However, business today, with the technological boom, has created a global village with the advent of the World Wide Web and social media which is redefining the way business is conducted especially in product and service development, marketing and publicity, customer attraction and retention, scouting and recruitment, and so on. This book responds to contemporary calls for new ways of managing businesse

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Book SynopsisLaunching a startup is like climbing a mountain, just maybe more treacherous. I say this as I have spent years as a backpacker and entrepreneur. While hiking through the Alaskan Tundra, I feared brown bears and crevasses. Yet, nothing prepared me for the responsibility of payroll for over 200 families relying on my business plan to feed their children. Unlike traditional software, the mere smell of hardware sensors and robot gearing sends shivers through most investors with red flags arising from the perceived capital inefficiencies and intense research and development. This is coupled with the high talent requirement before launching even a minimum viable product as these inventions demand a cross-section of skills: mechanical, electrical, and software engineering. To set out on the trail of uncrewed success, machine inventors and founders require a detailed field guide to meet customer demand and financing objectives.My goal for this book is to help you at a pivotal

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Book SynopsisThis book presents a comprehensive analysis of the transformative impact of artificial intelligence (AI) across legal frameworks within the European Union and beyond. It illustrates both the promising benefits of AI in improving access to justice and the significant challenges that necessitate thoughtful regulatory frameworks and interdisciplinary cooperation.It highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. The book addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EUâs commitment to individual privacy rights. The book also evaluates AI's role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI's integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. The book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.This book is a key resource for postgraduate students, researchers, and professionals in legal fields seeking to better understand the benefits and risks of incorporating AI into legal practices.

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Book SynopsisWorking at a scale-up is exciting, but it can be exhausting. This book is your emotional survival kit to succeeding in a new and unfamiliar environment. a fast-paced and unpredictable environment. Scale-ups attract ambitious, driven, and hardworking individuals seeking excitement, ownership, freedom, and greater rewards. However, this opportunity often comes with challenges. Understanding the emotional and behavioural patterns commonly seen in scale-ups and learning from othersâ experiences can help one move from struggling to thriving.In this volume, author Vidya Murali brings together: A personal scale-up suitability checklist to help assess and understand if scale-ups are the right environment based on skills and preferences; Guidance on what to look for when interviewed and how to set up for success in the first 90 days; Insights, frameworks and coaching questions to tackle toxic patterns commonly seen in scale-ups; Real-life case studies from scale-up leaders with lessons and strategies; Practical strategies for Introverts, Highly Sensitive People, Ethnic minorities and people with ADHD and/or Dyslexia to thrive in scale-ups; Tools for building your emotional skills to progress and thrive in scale-ups, and if you lose your job and/or face a mental health breakdown. A must-read for anyone transitioning to scale-ups or working in one already, this book will be of immense interest to graduates looking to land their first proper job, professionals transitioning from corporates, leaders including founders, HR professionals and coaches.

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Book SynopsisThe Basics of Business Start-Up outlines the entrepreneurial journey from inception to start-up. Starting from the basic concepts and working through the start-up process step by step, the book is an indispensable guide both for would-be entrepreneurs and students on entrepreneurship / small business courses. Key features of this book include: A step-by-step, sequential approach, detailing the typical entrepreneurial journey Non-technical introduction to the basic business functions, including budgeting, accounting, marketing and more A readable and accessible beginnerâs guide to entrepreneurship and business start-up. Written in a refreshingly personal style, this concise guide is the perfect starting point for anyone seeking to put their entrepreneurial ambitions into action.

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Book SynopsisAnalysing immigration around the world, Immigrant Entrepreneurship: Opportunities, Ventures and Outcomes in a Global Market illuminates how immigrant entrepreneurs overcome barriers to mobilise resources across diverse socio-economic environments. Drawing on case studies from Africa, the Americas, Europe, the Middle East, and elsewhere, the author explores how contemporary migration patterns, informal economies and digitalisation influence entrepreneurial outcomes. In emphasising entrepreneurial strategies that help adapt to exclusion and regulatory complexity, this book provides a nuanced understanding of the entire field of immigrant entrepreneurship. The global comparative approach taken by the book sheds light on the vital role that immigration plays in driving entrepreneurial growth in economic development around the world. The result is a resource that is enlightening reading for researchers and advanced students of entrepreneurship, international business and development studies.

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Book SynopsisBased on real-world evidence from senior executives and successful entrepreneurs, this book argues that an effective leader must act like an ambivert: an introvert at times and an extrovert at others.Thanks to landmark books such as How to Win Friends and Influence People, many professionals think that only extroverts can be standout leaders, but Karl Mooreâs interviews with over 750 CEOs from around the world prove that introverts make excellent leaders too. These insights make clear that the optimal leadership style is ambivert, with senior leaders combining introversionâbeing excellent listeners and thinking before they speakâand extroversionâinspiring and connecting with their teams. This book teaches how introverts and extroverts work, manage, and lead effectively and how readers can be better leaders regardless of their natural communication style. It empowers leaders to celebrate the strengths of their personality type while being flexible and to understand when to incorporate the strengths of other types into their leadership approach to be more effective. While showing how to identify and utilize the approach that is best for a given situation, it also highlights the potential weaknesses of the ambivertâs chameleon nature and emphasizes the importance of leaders staying true to themselves in any situation.Current and aspiring leaders, as well as entrepreneurs and MBA and executive education students, will understand how to develop and maximize the perfect blend of introversion and extroversion as this book guides them through a range of potential situations encountered in the workplace.

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Book SynopsisThis textbook offers a compact introductory course on Malliavin calculus, an active and powerful area of research. It covers recent applications, including density formulas, regularity of probability laws, central and non-central limit theorems for Gaussian functionals, convergence of densities and non-central limit theorems for the local time of Brownian motion. The book also includes a self-contained presentation of Brownian motion and stochastic calculus, as well as Lévy processes and stochastic calculus for jump processes. Accessible to non-experts, the book can be used by graduate students and researchers to develop their mastery of the core techniques necessary for further study.Trade Review'This book is a delightful and self-contained introduction to stochastic and Malliavin calculus that will guide the graduate students in probability theory from the basics of the theory to the borders of contemporary research. It is a must read written by two globally recognized experts!' Fabrice Baudoin, University of Connecticut'Malliavin calculus has seen a great revival of interest in recent years, after the discovery about ten years ago that Stein's method for probabilistic approximation and Malliavin calculus fit together admirably well. Such an interaction has led to some remarkable limit theorems for Gaussian, Poisson and Rademacher functionals. This monograph, written by two internationally renowned specialists of the field, provides a concise, self-contained and very pleasant exposition of different aspects of this rich and recent line of research. For sure, it is destined to quickly become a must-have reference book!' Ivan Nourdin, University of Luxembourg'The book provides a concise and self-contained exposition of the subject including recent developments.' Maria Gordina, MathSciNet'The book is written very clearly and precisely, and will be useful to anyone who wants to study the Malliavin calculus and its applications at the introductory level and then more deeply, as well as those who are ready to apply these results in their research. The book can be used to give lectures for graduate students.' Yuliya S. Mishura, zbMathTable of ContentsPreface; 1. Brownian motion; 2. Stochastic calculus; 3. Derivative and divergence operators; 4. Wiener chaos; 5. Ornstein-Uhlenbeck semigroup; 6. Stochastic integral representations; 7. Study of densities; 8. Normal approximations; 9. Jump processes; 10. Malliavin calculus for jump processes I; 11. Malliavin calculus for jump processes II; Appendix A. Basics of stochastic processes; References; Index.

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Book SynopsisDesigned for the intellectually curious, this book provides a solid foundation in basic probability theory in a charming style, without technical jargon. This text will immerse the reader in a mathematical view of the world, and teach them techniques to solve real-world problems both inside and outside the casino.Trade Review'Probability is a subject of fundamental importance that's often taught as a dry slog through ball-filled urns. Fat Chance, a snappy and example-rich text, is the perfect antidote and a great choice for a general-audience math course.' Jordan Ellenberg, University of Wisconsin-Madison'Mathematics is a minority sport. Only very few understand, say, algebraic geometry or ergodic theory, and that's perfectly OK. Yet, probability theory is different. We are surrounded by chance and uncertainty. You cannot be a fully-fledged, functioning twenty-first-century human, whether at work, as a consumer or as an active citizen, without understanding the basic rules that govern chance. This is a book explaining chance and probability to non-mathematicians: accessible, not expecting any prior knowledge - but, there being no free lunch, assuming basic intelligence and an open mind. A small price for great enlightenment.' Arieh Iserles, University of Cambridge'Fat Chance is a fun and friendly introduction to the big ideas of risk, probability, and uncertainty in our everyday lives and in the world around us. It's written by three of the greatest mathematicians - and teachers - anywhere on the planet. I loved it! And according to my calculations, there's a high probability you'll love it too.' Steven Strogatz, Cornell University, and author of Infinite Powers'… Fat Chance is an enjoyable small introductory book that, without the pretension of serving as a reference textbook, will certainly help undergraduate students to approach the fascinating world of probability but will also be appreciated by whoever desires to learn the basics through self-education.' Massimo Nespolo, Journal of Applied Crystallography'The book is an excellent text for anyone looking for a very enjoyable introduction to probability. It can be read on its own or used as a textbook for a math course for non-math majors.' Thomas Hagedorn, MAA ReviewsTable of ContentsPart I. Counting: 1. Simple counting; 2. The multiplication principle; 3. The subtraction principle; 4. Collections; 5. Games of chance; Interlude; 6. The binomial theorem; 7. Advanced counting; Part II. Probability: 8. Expected value; 9. Conditional probability; 10. Unfair coins and loaded dice; 11. Geometric probability; Part III. Probability in the Large: 12. Games and their payoffs; 13. The normal distribution; 14. Don't try this at home.

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Book SynopsisIn recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem.Table of ContentsPreface xv List of contributors xvii 1 Introduction 1Sally Brailsford, Leonid Churilov and Brian Dangerfield 1.1 How this book came about 1 1.2 The editors 2 1.3 Navigating the book 3 References 9 2 Discrete-event simulation: A primer 10 Stewart Robinson 2.1 Introduction 10 2.2 An example of a discrete-event simulation: Modelling a hospital theatres process 11 2.3 The technical perspective: How DES works 12 2.3.1 Time handling in DES 14 2.3.2 Random sampling in DES 15 2.4 The philosophical perspective: The DES worldview 21 2.5 Software for DES 23 2.6 Conclusion 24 References 24 3 Systems thinking and system dynamics: A primer 26 Brian Dangerfield 3.1 Introduction 26 3.2 Systems thinking 28 3.2.1 ‘Behaviour over time’ graphs 28 3.2.2 Archetypes 29 3.2.3 Principles of influence (or causal loop) diagrams 30 3.2.4 From diagrams to behaviour 32 3.3 System dynamics 34 3.3.1 Principles of stock–flow diagramming 34 3.3.2 Model purpose and model conceptualisation 35 3.3.3 Adding auxiliaries, parameters and information links to the spinal stock–flow structure 36 3.3.4 Equation writing and dimensional checking 37 3.4 Some further important issues in SD modelling 40 3.4.1 Use of soft variables 40 3.4.2 Co-flows 42 3.4.3 Delays and smoothing functions 43 3.4.4 Model validation 46 3.4.5 Optimisation of SD models 48 3.4.6 The role of data in SD models 49 3.5 Further reading 49 References 50 4 Combining problem structuring methods with simulation: The philosophical and practical challenges 52 Kathy Kotiadis and John Mingers 4.1 Introduction 52 4.2 What are problem structuring methods? 53 4.3 Multiparadigm multimethodology in management science 54 4.3.1 Paradigm incommensurability 55 4.3.2 Cultural difficulties 57 4.3.3 Cognitive difficulties 58 4.3.4 Practical problems 59 4.4 Relevant projects and case studies 60 4.5 The case study: Evaluating intermediate care 62 4.5.1 The problem situation 62 4.5.2 Soft systems methodology 64 4.5.3 Discrete-event simulation modelling 66 4.5.4 Multimethodology 67 4.6 Discussion 68 4.6.1 The multiparadigm multimethodology position and strategy 68 4.6.2 The cultural difficulties 70 4.6.3 The cognitive difficulties 70 4.7 Conclusions 72 Acknowledgements 72 References 72 5 Philosophical positioning of discrete-event simulation and system dynamics as management science tools for process systems: A critical realist perspective 76 Kristian Rotaru, Leonid Churilov and Andrew Flitman 5.1 Introduction 76 5.2 Ontological and epistemological assumptions of CR 80 5.2.1 The stratified CR ontology 80 5.2.2 The abductive mode of reasoning 81 5.3 Process system modelling with SD and DES through the prism of CR scientific positioning 82 5.3.1 Lifecycle perspective on SD and DES methods 84 5.4 Process system modelling with SD and DES: Trends in and implications for MS 90 5.5 Summary and conclusions 97 References 99 6 Theoretical comparison of discrete-event simulation and system dynamics 105 Sally Brailsford 6.1 Introduction 105 6.2 System dynamics 106 6.3 Discrete-event simulation 108 6.4 Summary: The basic differences 110 6.5 Example: Modelling emergency care in Nottingham 112 6.5.1 Background 112 6.5.2 The ECOD project 113 6.5.3 Choice of modelling approach 114 6.5.4 Quantitative phase 114 6.5.5 Model validation 116 6.5.6 Scenario testing and model results 116 6.5.7 The ED model 118 6.5.8 Discussion 119 6.6 The $64 000 question: Which to choose? 120 6.7 Conclusion 123 References 123 7 Models as interfaces 125 Steffen Bayer, Tim Bolt, Sally Brailsford and Maria Kapsali 7.1 Introduction: Models at the interfaces or models as interfaces 125 7.2 The social roles of simulation 126 7.3 The modelling process 129 7.4 The modelling approach 131 7.5 Two case studies of modelling projects 134 7.6 Summary and conclusions 137 References 138 8 An empirical study comparing model development in discrete-event simulation and system dynamics 140 Antuela Tako and Stewart Robinson 8.1 Introduction 140 8.2 Existing work comparing DES and SD modelling 142 8.2.1 DES and SD model development process 143 8.2.2 Summary 146 8.3 The study 146 8.3.1 The case study 146 8.3.2 Verbal protocol analysis 147 8.3.3 The VPA sessions 149 8.3.4 The subjects 149 8.3.5 The coding process 150 8.4 Study results 151 8.4.1 Attention paid to modelling topics 152 8.4.2 The sequence of modelling stages 154 8.4.3 Pattern of iterations among topics 155 8.5 Observations from the DES and SD expert modellers’ behaviour 158 8.6 Conclusions 160 Acknowledgements 162 References 162 9 Explaining puzzling dynamics: A comparison of system dynamics and discrete-event simulation 165 John Morecroft and Stewart Robinson 9.1 Introduction 165 9.2 Existing comparisons of SD and DES 166 9.3 Research focus 169 9.4 Erratic fisheries – chance, destiny and limited foresight 170 9.5 Structure and behaviour in fisheries: A comparison of SD and DES models 173 9.5.1 Alternative models of a natural fishery 174 9.5.2 Alternative models of a simple harvested fishery 178 9.5.3 Alternative models of a harvested fishery with endogenous ship purchasing 184 9.6 Summary of findings 192 9.7 Limitations of the study 193 9.8 SD or DES? 194 Acknowledgements 196 References 196 10 DES view on simulation modelling: SIMUL8 199 Mark Elder 10.1 Introduction 199 10.2 How software fits into the project 200 10.3 Building a DES 202 10.4 Getting the right results from a DES 208 10.4.1 Verification and validation 210 10.4.2 Replications 211 10.5 What happens after the results? 212 10.6 What else does DES software do and why? 212 10.7 What next for DES software? 213 References 214 11 Vensim and the development of system dynamics 215 Lee Jones 11.1 Introduction 215 11.2 Coping with complexity: The need for system dynamics 216 11.3 Complexity arms race 219 11.4 The move to user-led innovation 221 11.5 Software support 222 11.5.1 Apples and oranges (basic model testing) 223 11.5.2 Confidence 224 11.5.3 Helping the practitioner do more 237 11.6 The future for SD software 245 11.6.1 Innovation 245 11.6.2 Communication 245 References 247 12 Multi-method modeling: AnyLogic 248 Andrei Borshchev 12.1 Architectures 249 12.1.1 The choice of model architecture and methods 251 12.2 Technical aspect of combining modeling methods 252 12.2.1 System dynamics ® discrete elements 252 12.2.2 Discrete elements ® system dynamics 253 12.2.3 Agent based « discrete event 255 12.3 Example: Consumer market and supply chain 257 12.3.1 The supply chain model 257 12.3.2 The market model 258 12.3.3 Linking the DE and the SD parts 259 12.3.4 The inventory policy 260 12.4 Example: Epidemic and clinic 262 12.4.1 The epidemic model 262 12.4.2 The clinic model and the integration of methods 264 12.5 Example: Product portfolio and investment policy 267 12.5.1 Assumptions 268 12.5.2 The model architecture 270 12.5.3 The agent product and agent population portfolio 271 12.5.4 The investment policy 274 12.5.5 Closing the loop and implementing launch of new products 275 12.5.6 Completing the investment policy 277 12.6 Discussion 278 References 279 13 Multiscale modelling for public health management: A practical guide 280 Rosemarie Sadsad and Geoff McDonnell 13.1 Introduction 280 13.2 Background 281 13.3 Multilevel system theories and methodologies 281 13.4 Multiscale simulation modelling and management 283 13.5 Discussion 289 13.6 Conclusion 290 References 290 14 Hybrid modelling case studies 295 Rosemarie Sadsad, Geoff McDonnell, Joe Viana, Shivam M. Desai, Paul Harper and Sally Brailsford 14.1 Introduction 295 14.2 A multilevel model of MRSA endemicity and its control in hospitals 296 14.2.1 Introduction 296 14.2.2 Method 296 14.2.3 Results 297 14.2.4 Conclusion 302 14.3 Chlamydia composite model 302 14.3.1 Introduction 302 14.3.2 Chlamydia 302 14.3.3 DES model of a GUM department 303 14.3.4 SD model of chlamydia 304 14.3.5 Why combine the models 304 14.3.6 How the models were combined 305 14.3.7 Experiments with the composite model 305 14.3.8 Conclusions 307 14.4 A hybrid model for social care services operations 308 14.4.1 Introduction 308 14.4.2 Population model 308 14.4.3 Model construction 309 14.4.4 Contact centre model 310 14.4.5 Hybrid model 311 14.4.6 Conclusions and lessons learnt 313 References 316 15 The ways forward: A personal view of system dynamics and discrete-event simulation 318 Michael Pidd 15.1 Genesis 318 15.2 Computer simulation in management science 319 15.3 The effect of developments in computing 320 15.4 The importance of process 324 15.5 My own comparison of the simulation approaches 324 15.5.1 Time handling 324 15.5.2 Stochastic and deterministic elements 326 15.5.3 Discrete entities versus continuous variables 327 15.6 Linking system dynamics and discrete-event simulation 328 15.7 The importance of intended model use 329 15.7.1 Decision automation 330 15.7.2 Routine decision support 331 15.7.3 System investigation and improvement 331 15.7.4 Providing insights for debate 332 15.8 The future? 333 15.8.1 Use of both methods will continue to grow 333 15.8.2 Developments in computing will continue to have an effect 334 15.8.3 Process really matters 335 References 335 Index 337

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Book SynopsisLearn to maintain and update scorecards and dashboards with Excel Balanced Scorecards and operational dashboards measure organizational performance and Microsoft Excel is the tool used worldwide to create these scorecards and dashboards. This book covers time-proven step-by-step processes on how to guide executive teams and managers in creating scorecards and dashboards. It then shows Excel developers how to create those scorecards and dashboards. This is the only book that converts theory into practice. The author addresses the people and processes you need to identify strategy and operational metrics and then implement them in dashboards in three versions of Excel. You''ll learn how balanced scorecards help organizations translate strategy into action and the ways that performance dashboards enable managers monitor operations. Covers Excel 2010 back to Excel 2003 Shows how to develop consensus on strategy and operational plans with the executiveTable of ContentsIntroduction xxvii Part I Strategic Performance with Balanced Scorecards 1 Chapter 1 Accelerating Strategic Performance 3 Chapter 2 Developing Your Strategic Foundation 17 Chapter 3 Preparing to Build Your Balanced Scorecard 31 Chapter 4 Step-by-Step to Building Your Strategy Map 47 Chapter 5 Step-by-Step from Strategy to Action 61 Chapter 6 Step-by-Step to Selecting Metrics and Setting Targets 71 Chapter 7 Step-by-Step to Developing Your Implementation Plan 85 Chapter 8 Step-by-Step to Rollout and Strategic Reviews 91 Part II Operational Performance with Dashboards 101 Chapter 9 Developing Executive and Operational Dashboards 103 Chapter 10 Mapping Your Operational Processes 109 Chapter 11 Identifying Critical Metrics and Key Performance Indicators 121 Part III Building Maps, Scorecards, and Dashboards 133 Chapter 12 Creating Dashboards for Decision-Making 135 Chapter 13 Drawing Process and Strategy Maps 147 Chapter 14 Using Microsoft Excel for Balanced Scorecards and Dashboards 157 Chapter 15 Text-Based Dashboards 167 Chapter 16 Custom Labels and Formatting 183 Chapter 17 Working with Data That Changes Size 207 Chapter 18 Retrieving Data from Lists and Tables of Data 229 Chapter 19 Creating Miniature Charts and Tables 243 Chapter 20 Controlling Charts with Menus, Combo Boxes, and Buttons 267 Chapter 21 Working with PivotTables 283 Chapter 22 Working with PowerPivot 297 Chapter 23 Smoothing Data and Forecasting Trends 317 Chapter 24 Identifying Targets and Displaying Alerts 331 Chapter 25 Building Powerful Decision-Making Charts 347 Chapter 26 Drilling to Detail 371 Chapter 27 Using Excel Add-ins for Extra Capabilities 385 Chapter 28 Finishing Touches 395 Chapter 29 Data Integration Methods 405 Chapter 30 Publishing Balanced Scorecards and Dashboards 425 Index 441

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Book SynopsisA wealth of international case studies illustrating current issues and emerging best practices in enterprise risk management Despite enterprise risk management''s relative newness as a recognized business discipline, the marketplace is replete with guides and references for ERM practitioners. Yet, until now, few case studies illustrating ERM in action have appeared in the literature. One reason for this is that, until recently, there were many disparate, even conflicting definitions of what, exactly ERM is and, more importantly, how organizations can use it to utmost advantage. With efforts underway, internationally, to mandate ERM and to standardize ERM standards and practices, the need has never been greater for an authoritative resource offering risk management professionals authoritative coverage of the full array of contemporary ERM issues and challenges. Written by two recognized international thought leaders in the field, ERM-Enterprise Risk Management prTable of ContentsContributor List vii About the Editors ix Acknowledgements x Introduction xi ISO 31000 and Guide 73: 2009 Select Terms and Their Definitions xvii Part I Erm Articles 1 1 Establishing the Internal and External Contexts 3 1.1 Managing Risks to Enable Strategy 3 Jean-Paul Louisot and Christopher Mandel 1.2 Strategy, Constraint, Risk Management and the Value Chain 12 Christopher Ketcham and Kevin W. Knight 1.3 The Risk of Group Decision Making within Organizations: A Synthesis 19 Daniel A. Gaus 2 Risk Assessment 41 2.1 Risk Quantification: Cornerstone for Rational Risk Management 41 Jean-Paul Louisot, Laurent Condamin and Patrick Naim 2.2 Brief Overview of Cindynics 48 Georges-Yves Kervern and Jean-Paul Louisot 2.3 Risk Assessment or Exposure Diagnostic 56 Jean-Paul Louisot 2.4 Managing the Collection of Relevant Data for an ERM Program: The Importance of Efficient and Neutral Questionnaires 84 Sophie Gaultier-Gaillard 2.5 Enterprise Risk Analytics Systems 96 Richard Connelly and Jean-Paul Louisot 2.6 Emerging Enterprise Risks Facing the US Healthcare Industry 103 Robert L. Snyder 3 Select and Implement the Appropriate Risk Management Technique 109 3.1 Risk to Reputation 109 Sophie Gaultier-Gaillard, Jean-Paul Louisot and Jenny Rayner 3.2 Disturbance Management 123 Jean-Paul Louisot 4 Monitor Results and Revise 135 4.1 Business Ethics and Risk Management 135 Marc Ronez 4.2 Governance, Risk, Compliance: The New Paradigm of Risk Management 146 Jean-Paul Louisot 5 Communicate and Consult 155 5.1 Communication as a Risk Mitigation Tool 155 Jean-Paul Louisot Part II Case Studies 163 6 Case Study Protocol 165 7 Case Study: Risk Management Implementation in China 167 Duojia (Doug) Lu 8 Case Study: Agreeing Upon the Scope of the Project and the Job of the ERM Risk Manager 187 Christopher Ketcham 9 Case Study: Wellcome Trust 191 Fiona Davidge Interviewed by Jean-Paul Louisot 10 Case Study: Large Health Insurer in the US 199 Anonymous Interviewed by Christopher Ketcham 11 Case Study: Three Steps for Bringing Risk Management Back in House 217 Renee Reimer Interviewed by Christopher Ketcham 12 Case Study: University of California 229 Grace Crickette Interviewed by Christopher Ketcham 13 Case Study: Managing Risk at the OPAC du Rhône 241 Samiha Viand Interviewed by Jean-Paul Louisot ERM References for Practitioners 249 Further Reading 253 Index 255

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Book SynopsisEmbrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products.Table of ContentsIntroduction 1 Part I: Getting Started with Data Driven Marketing 5 Chapter 1: Data Driven Marketing 101: It’s All About the Customer 7 Chapter 2: Communicating Directly with Your Customers 19 Chapter 3: The Forest for the Trees: Where Is the Customer in All That Data? 33 Chapter 4: Using and Managing Your Customer Contact Information 51 Chapter 5: Getting Your Message Out: Marketing Campaign Basics 61 Part II: Digging Deeper into Your Data: Analytics 71 Chapter 6: You’re Going to Need a Geek: Introduction to Analyzing Data 73 Chapter 7: Birds of a Feather Buy Together: Segmenting Your Customers 89 Chapter 8: Getting the Most from Your Transaction Data 105 Chapter 9: The Good, the Bad, and the Ugly: Understanding Customer Profitability 119 Part III: Putting Your Data to Work 129 Chapter 10: The Tactical Advantage: Designing Data Driven Marketing Campaigns 131 Chapter 11: From the Window to the Counter: Getting Shoppers to Buy 151 Chapter 12: Crafting Your Marketing Message 163 Chapter 13: Using Customer Data Online 175 Part IV: The Feedback Cycle: Learning from Experience 189 Chapter 14: Learning Curve: Setting Up a Testing Plan 191 Chapter 15: Getting to the Bottom Line: Tracking and Measuring Your Campaigns 207 Chapter 16: Putting Your Geek to Work: Analyzing Campaign Results 223 Chapter 17: Sharing Customer Data Throughout Your Enterprise 243 Part V: The Part of Tens 259 Chapter 18: Ten (or So) Ways to Capture Customer Data 261 Chapter 19: Ten Resources for Information and Assistance 269 Index 277

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Book SynopsisInsightful modelling of dynamic systems for better business strategy The business environment is constantly changing and organisations need the ability to rehearse alternative futures. By mimicking the interlocking operations of firms and industries, modelling serves as a dry run' for testing ideas, anticipating consequences, avoiding strategic pitfalls and improving future performance. Strategic Modelling and Business Dynamics is an essential guide to credible models; helping you to understand modelling as a creative process for distilling and communicating those factors that drive business success and sustainability. Written by an internationally regarded authority, the book covers all stages of model building, from conceptual to analytical. The book demonstrates a range of in-depth practical examples that vividly illustrate important or puzzling dynamics in firm operations, strategy, public policy, and everyday life. This updated new edition alsTable of ContentsAbout the Author xvii Foreword by Peter Checkland xix Preface to the Second Edition xxi Preface from the First Edition xxv How to Use This Book xxxv Chapter 1 The Appeal and Power of Strategic Modelling 1 Introduction 1 A New Approach to Modelling 5 The Puzzling Dynamics of International Fisheries 7 Model of a Natural Fishery 10 Simulated Dynamics of a Natural Fishery 12 Operating a Simple Harvested Fishery 13 Harvesting in Bonavista, Newfoundland – A Thought Experiment 15 A Start on Analysing Dynamics and Performance Through Time 17 Saving Bonavista – Using Simulation to Devise a Sustainable Fishery 20 Dynamic Complexity and Performance Through Time 20 Cunning Fish – A Scenario with Reduced Dynamic Complexity 23 Preview of the Book and Topics Covered 25 Appendix – Archive Materials from World Dynamics 27 References 28 Chapter 2 Introduction to Feedback Systems Thinking 31 Ways of Interpreting Situations in Business and Society 31 Event-oriented Thinking 32 Feedback Systems Thinking – An Illustration 34 A Shift of Mind 37 The Invisibility of Feedback 38 A Start on Causal Loop Diagrams 39 Structure and Behaviour Through Time – Feedback Loops and the Dynamics of a Slow-to-Respond Shower 41 Processes in a Shower ‘System’ 44 Simulation of a Shower and the Dynamics of Balancing Loops 45 From Events to Dynamics and Feedback – Drug-related Crime 47 A Feedback View 48 Scope and Boundary of Factors in Drug-related Crime 50 An Aside – More Practice with Link Polarity and Loop Types 51 Purpose of Causal Loop Diagrams – A Summary 52 Feedback Structure and Dynamics of a Technology-based Growth Business 52 Causal Loop Diagrams – Basic Tips 55 Picking and Naming Variables 55 Meaning of Arrows and Link Polarity 56 Drawing, Identifying and Naming Feedback Loops 57 Causal Loop Diagram of Psychological Pressures and Unintended Haste in a Troubled Internet Start-Up 58 References 61 Chapter 3 Modelling Dynamic Systems 63 Asset Stock Accumulation 63 Accumulating a ‘Stock’ of Faculty at Greenfield University 65 Asset Stocks in a Real Organisation – BBC World Service 69 The Coordinating Network 70 Modelling Symbols in Use: A Closer Look at Drug-related Crime 72 Equation Formulations 75 Drug-related Crime 76 Funds Required to Satisfy Addiction 77 Street Price and Price Change 78 Allocation of Police 79 Experiments with the Model of Drug-related Crime 80 A Tour of the Model 80 Escalating Crime – The Base Case 82 Drilling Down to the Equations 84 Anomalous Behaviour Over Time and Model Boundary 86 Benefits of Model Building and Simulation 89 References 90 Chapter 4 World of Showers 91 Getting Started 91 Taking a Shower in World of Showers A 92 Taking a Shower in World of Showers B 95 Redesigning Your World of Showers 96 Reflections on the World of Showers 98 Metaphorical Shower Worlds in GlaxoSmithKline, IBM and Harley-Davidson 100 Inside World of Showers 102 A Tour of Formulations in the Comfort-seeking Loop of the Hidden Shower 102 Interdependence of Showers – Coupling Formulations 105 Simulations of World of Showers B 105 References 107 Chapter 5 Cyclical Dynamics and the Process of Model Building 109 An Overview of the Modelling Process 109 Dynamic Hypothesis and Fundamental Modes of Dynamic Behaviour 111 Team Model Building 112 Employment and Production Instability – Puzzling Performance Over Time 117 Dialogue About Production Control 120 Thought Experiment: A Surprise Demand Increase in an Ideal Factory 122 Equation Formulations and Computations in Production Control 124 Forecasting Shipments – Standard Formulations for Information Smoothing 126 Inventory Control – Standard Formulations for Asset Stock Adjustment 127 Desired Production 128 The Computations Behind Simulation 129 Modelling Workforce Management and Factory Production Dynamics 133 Dialogue About Workforce Management 133 Operating Constraint Linking Workforce to Production 135 Simulation of the Complete Model: A Surprise Demand Increase in a Factory Where Production is Constrained by the Size of the Workforce 136 Pause for Reflection 140 Equation Formulations in Workforce Management 140 Departure Rate – Standard Formulation for Stock Depletion 141 Hiring – Standard Formulations for Asset Stock Replacement and Adjustment 142 Workforce Planning 144 Chronic Cyclicality in Employment and Production and How to Cure It 145 The Curious Effect of Random Variations in Demand 145 Industry Cyclicality and Business Cycles 147 Policy Formulation and What-ifs to Improve Factory Performance 148 Modelling for Learning and Soft Systems 152 A Second Pause for Reflection: System Dynamics and Soft Systems 153 A Link to Soft Systems Methodology 156 Alternative Views of a Radio Broadcaster 159 Appendix 1: Model Communication and Policy Structure Diagrams 162 Appendix 2: The Dynamics of Information Smoothing 164 References 166 Chapter 6 The Dynamics of Growth from Diffusion 169 Stocks and Flows in New Product Adoption – A Conceptual Diffusion Model 171 The Bass Model – An Elegant Special Case of a Diffusion Model 172 The Dynamics of Product Adoption by Word-of-mouth 175 The Need to Kick-start Adoption 177 The Complete Bass Diffusion Model With Advertising 177 The Dynamics of Product Adoption by Word-of-mouth and Advertising 179 A Variation on the Diffusion Model: The Rise of Low-cost Air Travel in Europe 182 easyJet – A Bright Idea, but Will it Work? 182 Visualising the Business: Winning Customers in a New Segment 183 Visualising Retaliation and Rivalry 186 Feedback Loops in the easyJet Model 188 Strategy and Simulation of Growth Scenarios 189 Using the Fliers Simulator to Create Your Own Scenarios 193 Simulation, Predictions and Scenarios 194 Conclusion 194 Appendix: More About the Fliers Model 195 Back to the Future – From easyJet to People Express and Beyond 197 References 199 Chapter 7 Managing Business Growth 201 A Conceptual Model of Market Growth and Capital Investment 203 Background to the Case 203 Adopting a Feedback View 204 Formulation Guidelines for Portraying Feedback Structure 206 Review of Operating Policies and Information Flows in the Market Growth Model 209 Customer Ordering 209 Sales Force Expansion 210 Budgeting 211 Capital Investment 212 Goal Formation 214 An Information Feedback View of Management and Policy 215 Information Available to Decision Makers and Bounded Rationality 217 Nature of Decision Making and the Decision Process 220 Policy Structure and Formulations for Sales Growth 222 Sales Force Hiring – Standard Stock Adjustment Formulation 223 Sales Force Budgeting – Revenue Allocation and Information Smoothing 223 Order Fulfilment – Standard Stock Depletion Formulation 225 Customer Ordering 226 Policy Structure and Formulations for Limits to Sales Growth 226 Customer Response to Delivery Delay – Non-linear Graphical Converter 228 Customers’ Perception of Delivery Delay – Information Smoothing 229 Order Fulfilment and Capacity Utilisation 229 Policy Structure and Formulations for Capital Investment 231 Assessment of Delivery Delay 232 Goal Formation – Weighted Average of Adaptive and Static Goals 232 Capacity Expansion – Fractional Asset Stock Adjustment 233 Production Capacity – Two-Stage Stock Accumulation 236 Simulation Experiments 237 Simulation of Sales Growth Loop 238 Strength of Reinforcing Loop 241 Simulation of Sales Growth and Customer Response Loops 242 Simulation of the Complete Model with all Three Loops Active – The Base Case 246 Redesign of the Investment Policy 250 Top Management Optimism in Capital Investment 251 High and Unyielding Standards – A Fixed Operating Goal for Delivery Delay 253 Policy Design, Growth and Dynamic Complexity 256 Conclusion 257 Overview of Policy Structure 257 Growth and Underinvestment at People Express? 261 More Examples of Growth Strategies that Failed or Faltered – and One that Succeeded 262 Growth Strategy for New Products and Services in a Competitive Industry 264 Appendix – Gain of a Reinforcing Loop 266 References 268 Chapter 8 Industry Dynamics – Oil Price and the Global Oil Producers 271 Problem Articulation – Puzzling Dynamics of Oil Price 272 Towards a Dynamic Hypothesis 274 Model Development Process 275 A Closer Look at the Stakeholders and Their Investment Decision Making 278 Investment by the Independent Producers 279 Development Costs 280 Policy Structure and Formulations for Upstream Investment – Fractional Asset Stock Adjustment 282 Oil Price and Demand 284 The Swing Producer 286 Quota Setting 288 The Opportunists 290 The Rise of Russian Oil – Incorporating Unforeseen Political Change 291 The Shale Gale – Incorporating Unforeseen Technological Change 292 Connecting the Pieces – A Feedback Systems View 294 Two Invisible Hands and More 295 The Visible Hand of OPEC 297 Webs of Intrigue – Inside OPEC’s Opulent Bargaining Rooms 297 A Simple Thought Experiment: Green Mindset and Global Recession 300 Using the Model to Generate Scenarios 301 Archive Scenario 1: 10-Year Supply Squeeze Followed by SupplyGlut 301 Archive Scenario 2: Quota Busting in a Green World 306 Scenario from the Mid-1990s to 2020: Asian Boom with Quota Busting, Cautious Upstream Investment and Russian Oil 309 A High Price Scenario from the Mid-1990s to 2020: How to PushOil Price Over $60 per Barrel 314 A 2010–2034 Scenario: Subdued Global Oil Economy with Shale Gale and OPEC Supply Boost 317 Modified 2010–2034 Scenario: Subdued Global Oil Economy with Shale Gale and Punitive Saudi Supply Control 322 2010–2034 Thought Experiment: Subdued Global Oil Economy with a Shale Gale and Mooted US Supply Control – The ‘Saudi America’ Hypothesis 324 Devising New Scenarios 327 Effect of Global Economy and Environment on Demand 327 Cartel Quota Bias 327 Opportunists’ Capacity Bias 328 Oil Price Bias 328 Capex Optimism 328 Time to Build Trust in Russia (in Oil World 1995 and 2010) 329 Endnote: A Brief History of the Oil Producers’ Project 329 References 331 Chapter 9 Public Sector Applications of Strategic Modelling 333 Urban Dynamics – Growth and Stagnation in Cities 334 Urban Model Conceptualisation 335 Medical Workforce Dynamics and Patient Care 340 Background 341 Medical Workforce Planning Model 342 Quality of Patient Care 346 Base Run – Changing Composition of the Medical Workforce 348 Base Run – Quality of Patient Care 350 Intangible Effects of the European Working Time Directive 351 Modelling Junior Doctor Morale 351 Overview of the Complete Model 353 The Formulation of Work–Life Balance and Flexibility 354 Simulations of the Complete Model 355 Conclusions from the Medical Workforce Study 359 Fishery Dynamics and Regulatory Policy 361 Fisheries Management 361 A Simple Harvested Fishery – Balancing Catch and Fish Regeneration 363 A Harvested Fishery with Endogenous Investment – Coping with a Tipping Point 366 Simulated Dynamics of a Harvested Fishery with Endogenous Investment 369 Control and Regulation – Policy Design for Sustainable Fisheries 371 Formulation of Deployment Policy 373 Stock and Flow Equations for Ships at Sea, Ships in Harbour and Scrap Rate 375 Simulated Dynamics of a Regulated Fishery – The Base Case 375 Policy Design – A Higher Benchmark for Fish Density 379 Dynamics of a Weakly Regulated Fishery 381 Policy Design – Lower Exit Barriers Through Quicker Scrapping of Idle Ships 383 Sustainability, Regulation and Self-Restraint 387 Conclusion 387 Appendix – Alternative Simulation Approaches 388 From Urban Dynamics to SimCity 389 Discrete-event Simulation and System Dynamics 390 Conclusions on Alternative Approaches to Simulation Modelling 396 References 398 Chapter 10 Model Validity, Mental Models and Learning 403 Mental Models, Transitional Objects and Formal Models 404 Models of Business and Social Systems 406 Tests for Building Confidence in Models 407 Model Confidence Building Tests in Action: A Case Study in Fast-moving Consumer Goods 410 Soap Market Overview 410 The Modelling Project 411 Model Structure Tests and the Soap Industry Model 412 Boundary Adequacy and Structure Verification Tests Applied to a Simple Soap Model 413 A Refined View of the Market 416 Boundary Adequacy and Sector Map of the Complete Soap Industry Model 417 Managerial Decision-making Processes in the Old English Bar Soap Company 419 Managerial Decision-making Processes in Global Personal Care 420 Managerial Decision-making Processes in Supermarkets 421 Equation Formulation Tests and the Soap Industry Model 422 Substitution of Bar Soap by Shower Gel 423 Brand Switching Between Competing Bar Soap Products 424 Model Behaviour Tests and Fit to Data 428 Tests of Fit on Simulations of the Soap Industry Model – The Base Case 432 Tests of Learning from Simulation 436 Comparing Simulations with Expectations and Interpreting Surprise Behaviour 436 Partial Model Simulations to Examine Pet Theories and Misconceptions 437 Family Member Tests 438 Policy Implication Tests 439 Understanding Competitive Dynamics in Fast-moving Consumer Goods 439 Summary of Confidence Building Tests 441 Conclusion – Model Fidelity and Usefulness 444 Endnote: The Loops of Feedback 447 References 449 About the Website Resources 451 Index 452

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Book SynopsisPractical guide that can be used by executives to make well-informed decisions on cybersecurity issues to better protect their business Emphasizes, in a direct and uncomplicated way, how executives can identify, understand, assess, and mitigate risks associated with cybersecurity issues Covers ''What to Do When You Get Hacked?'' including Business Continuity and Disaster Recovery planning, Public Relations, Legal and Regulatory issues, and Notifications and Disclosures Provides steps for integrating cybersecurity into Strategy; Policy and Guidelines; Change Management and Personnel Management Identifies cybersecurity best practices that executives can and should use both in the office and at home to protect their vital information Table of ContentsForeword xiii Preface xvii Acknowledgments xxiii 1.0 Introduction 1 1.1 Defining Cybersecurity 1 1.2 Cybersecurity is a Business Imperative 2 1.3 Cybersecurity is an Executive-Level Concern 4 1.4 Questions to Ask 4 1.5 Views of Others 7 1.6 Cybersecurity is a Full-Time Activity 7 2.0 Why Be Concerned? 9 2.1 A Classic Hack 9 2.2 Who Wants Your Fortune? 12 2.3 Nation-State Threats 13 2.3.1 China 13 2.3.2 Don’t Think that China is the Only One 17 2.4 Cybercrime is Big Business 20 2.4.1 Mercenary Hackers 20 2.4.2 Hacktivists 25 2.4.3 The Insider Threat 26 2.4.4 Substandard Products and Services 29 2.5 Summary 36 3.0 Managing Risk 37 3.1 Who Owns Risk in Your Business? 37 3.2 What are Your Risks? 38 3.2.1 Threats to Your Intellectual Property and Trade Secrets 38 3.2.2 Technical Risks 42 3.2.3 Human Risks 47 3.3 Calculating Your Risk 54 3.3.1 Quantitative Risk Assessment 55 3.3.2 Qualitative Risk Assessment 63 3.3.3 Risk Decisions 71 3.4 Communicating Risk 77 3.4.1 Communicating Risk Internally 78 3.4.2 Regulatory Communications 79 3.4.3 Communicating with Shareholders 86 3.5 Organizing for Success 89 3.5.1 Risk Management Committee 89 3.5.2 Chief Risk Officers 90 3.6 Summary 91 4.0 Build Your Strategy 95 4.1 How Much “Cybersecurity” Do I Need? 95 4.2 The Mechanics of Building Your Strategy 97 4.2.1 Where are We Now? 99 4.2.2 What do We have to Work with? 103 4.2.3 Where do We Want to be? 104 4.2.4 How do We Get There? 107 4.2.5 Goals and Objectives 108 4.3 Avoiding Strategy Failure 111 4.3.1 Poor Plans, Poor Execution 111 4.3.2 Lack of Communication 113 4.3.3 Resistance to Change 114 4.3.4 Lack of Leadership and Oversight 117 4.4 Ways to Incorporate Cybersecurity into Your Strategy 118 4.4.1 Identify the Information Critical to Your Business 119 4.4.2 Make Cybersecurity Part of Your Culture 119 4.4.3 Consider Cybersecurity Impacts in Your Decisions 119 4.4.4 Measure Your Progress 120 4.5 Plan For Success 121 4.6 Summary 123 5.0 Plan For Success 125 5.1 Turning Vision into Reality 125 5.1.1 Planning for Excellence 127 5.1.2 A Plan of Action 128 5.1.3 Doing Things 131 5.2 Policies Complement Plans 140 5.2.1 Great Cybersecurity Policies for Everyone 140 5.2.2 Be Clear about Your Policies and Who Owns Them 188 5.3 Procedures Implement Plans 190 5.4 Exercise Your Plans 191 5.5 Legal Compliance Concerns 193 5.6 Auditing 195 5.7 Summary 196 6.0 Change Management 199 6.1 Why Managing Change is Important 199 6.2 When to Change? 201 6.3 What is Impacted by Change? 205 6.4 Change Management and Internal Controls 209 6.5 Change Management as a Process 214 6.5.1 The Touhill Change Management Process 215 6.5.2 Following the Process 216 6.5.3 Have a Plan B, Plan C, and maybe a Plan D 220 6.6 Best Practices in Change Management 220 6.7 Summary 224 7.0 Personnel Management 227 7.1 Finding the Right Fit 227 7.2 Creating the Team 229 7.2.1 Picking the Right Leaders 230 7.2.2 Your Cybersecurity Leaders 233 7.3 Establishing Performance Standards 237 7.4 Organizational Considerations 240 7.5 Training for Success 242 7.5.1 Information Every Employee Ought to Know 242 7.5.2 Special Training for Executives 246 7.6 Special Considerations for Critical Infrastructure Protection 249 7.7 Summary 258 8.0 Performance Measures 261 8.1 Why Measure? 261 8.2 What to Measure? 267 8.2.1 Business Drivers 267 8.2.2 Types of Metrics 271 8.3 Metrics and the C-Suite 272 8.3.1 Considerations for the C-Suite 273 8.3.2 Questions about Cybersecurity Executives Should Ask 275 8.4 The Executive Cybersecurity Dashboard 277 8.4.1 How Vulnerable Are We? 277 8.4.2 How Effective Are Our Systems and Processes? 282 8.4.3 Do We Have the Right People, Are They Properly Trained, and Are They Following Proper Procedures? 286 8.4.4 Am I Spending the Right Amount on Security? 287 8.4.5 How Do We Compare to Others? 288 8.4.6 Creating Your Executive Cybersecurity Dashboard 289 8.5 Summary 291 9.0 What To Do When You Get Hacked 293 9.1 Hackers Already Have You Under Surveillance 293 9.2 Things to do Before it’s Too Late: Preparing for the Hack 295 9.2.1 Back Up Your Information 296 9.2.2 Baseline and Define What is Normal 296 9.2.3 Protect Yourself with Insurance 297 9.2.4 Create Your Disaster Recovery and Business Continuity Plan 298 9.3 What to do When Bad Things Happen: Implementing Your Plan 299 9.3.1 Item 1: Don’t Panic 300 9.3.2 Item 2: Make Sure You’ve Been Hacked 301 9.3.3 Item 3: Gain Control 302 9.3.4 Item 4: Reset All Passwords 303 9.3.5 Item 5: Verify and Lock Down All Your External Links 304 9.3.6 Item 6: Update and Scan 305 9.3.7 Item 7: Assess the Damage 305 9.3.8 Item 8: Make Appropriate Notifications 307 9.3.9 Item 9: Find Out Why It Happened and Who Did It 309 9.3.10 Item 10: Adjust Your Defenses 310 9.4 Foot Stompers 310 9.4.1 The Importance of Public Relations 310 9.4.2 Working with Law Enforcement 315 9.4.3 Addressing Liability 317 9.4.4 Legal Issues to Keep an Eye On 318 9.5 Fool Me Once… 319 9.6 Summary 320 10.0 Boardroom Interactions 323 Appendix A: Policies 347 Appendix B: General Rules for Email Etiquette: Sample Training Handout 357 Glossary 361 Select Bibliography 371 Index 373

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Book SynopsisThe guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens'' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big daTable of ContentsPreface xiii Acknowledgments xv Chapter 1 Big Data and Analytics 1 Example Applications 2 Basic Nomenclature 4 Analytics Process Model 4 Job Profiles Involved 6 Analytics 7 Analytical Model Requirements 9 Notes 10 Chapter 2 Data Collection, Sampling, and Preprocessing 13 Types of Data Sources 13 Sampling 15 Types of Data Elements 17 Visual Data Exploration and Exploratory Statistical Analysis 17 Missing Values 19 Outlier Detection and Treatment 20 Standardizing Data 24 Categorization 24 Weights of Evidence Coding 28 Variable Selection 29 Segmentation 32 Notes 33 Chapter 3 Predictive Analytics 35 Target Definition 35 Linear Regression 38 Logistic Regression 39 Decision Trees 42 Neural Networks 48 Support Vector Machines 58 Ensemble Methods 64 Multiclass Classification Techniques 67 Evaluating Predictive Models 71 Notes 84 Chapter 4 Descriptive Analytics 87 Association Rules 87 Sequence Rules 94 Segmentation 95 Notes 104 Chapter 5 Survival Analysis 105 Survival Analysis Measurements 106 Kaplan Meier Analysis 109 Parametric Survival Analysis 111 Proportional Hazards Regression 114 Extensions of Survival Analysis Models 116 Evaluating Survival Analysis Models 117 Notes 117 Chapter 6 Social Network Analytics 119 Social Network Definitions 119 Social Network Metrics 121 Social Network Learning 123 Relational Neighbor Classifier 124 Probabilistic Relational Neighbor Classifier 125 Relational Logistic Regression 126 Collective Inferencing 128 Egonets 129 Bigraphs 130 Notes 132 Chapter 7 Analytics: Putting It All to Work 133 Backtesting Analytical Models 134 Benchmarking 146 Data Quality 149 Software 153 Privacy 155 Model Design and Documentation 158 Corporate Governance 159 Notes 159 Chapter 8 Example Applications 161 Credit Risk Modeling 161 Fraud Detection 165 Net Lift Response Modeling 168 Churn Prediction 172 Recommender Systems 176 Web Analytics 185 Social Media Analytics 195 Business Process Analytics 204 Notes 220 About the Author 223 Index 225

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Book SynopsisA step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts.Table of ContentsPreface xiii Acknowledgments xv 1 An overview of data mining: The applications, the methodology, the algorithms, and the data 1 1.1 The applications 1 1.2 The methodology 4 1.3 The algorithms 6 1.3.1 Supervised models 6 1.3.1.1 Classification models 7 1.3.1.2 Estimation (regression) models 9 1.3.1.3 Feature selection (field screening) 10 1.3.2 Unsupervised models 10 1.3.2.1 Cluster models 11 1.3.2.2 Association (affinity) and sequence models 12 1.3.2.3 Dimensionality reduction models 14 1.3.2.4 Record screening models 14 1.4 The data 15 1.4.1 The mining datamart 16 1.4.2 The required data per industry 16 1.4.3 The customer “signature”: from the mining datamart to the enriched, marketing reference table 16 1.5 Summary 20 Part I The Methodology 21 2 Classification modeling methodology 23 2.1 An overview of the methodology for classification modeling 23 2.2 Business understanding and design of the process 24 2.2.1 Definition of the business objective 24 2.2.2 Definition of the mining approach and of the data model 26 2.2.3 Design of the modeling process 27 2.2.3.1 Defining the modeling population 27 2.2.3.2 Determining the modeling (analysis) level 28 2.2.3.3 Definition of the target event and population 28 2.2.3.4 Deciding on time frames 29 2.3 Data understanding, preparation, and enrichment 33 2.3.1 Investigation of data sources 34 2.3.2 Selecting the data sources to be used 34 2.3.3 Data integration and aggregation 35 2.3.4 Data exploration, validation, and cleaning 35 2.3.5 Data transformations and enrichment 38 2.3.6 Applying a validation technique 40 2.3.6.1 Split or Holdout validation 40 2.3.6.2 Cross or n‐fold validation 45 2.3.6.3 Bootstrap validation 47 2.3.7 Dealing with imbalanced and rare outcomes 48 2.3.7.1 Balancing 48 2.3.7.2 Applying class weights 53 2.4 Classification modeling 57 2.4.1 Trying different models and parameter settings 57 2.4.2 Combining models 60 2.4.2.1 Bagging 61 2.4.2.2 Boosting 62 2.4.2.3 Random Forests 63 2.5 Model evaluation 64 2.5.1 Thorough evaluation of the model accuracy 65 2.5.1.1 Accuracy measures and confusion matrices 66 2.5.1.2 Gains, Response, and Lift charts 70 2.5.1.3 ROC curve 78 2.5.1.4 Profit/ROI charts 81 2.5.2 Evaluating a deployed model with test–control groups 85 2.6 Model deployment 88 2.6.1 Scoring customers to roll the marketing campaign 88 2.6.1.1 Building propensity segments 93 2.6.2 Designing a deployment procedure and disseminating the results 94 2.7 Using classification models in direct marketing campaigns 94 2.8 Acquisition modeling 95 2.8.1.1 Pilot campaign 95 2.8.1.2 Profiling of high‐value customers 96 2.9 Cross‐selling modeling 97 2.9.1.1 Pilot campaign 98 2.9.1.2 Product uptake 98 2.9.1.3 Profiling of owners 99 2.10 Offer optimization with next best product campaigns 100 2.11 Deep‐selling modeling 102 2.11.1.1 Pilot campaign 102 2.11.1.2 Usage increase 103 2.11.1.3 Profiling of customers with heavy product usage 104 2.12 Up‐selling modeling 105 2.12.1.1 Pilot campaign 105 2.12.1.2 Product upgrade 107 2.12.1.3 Profiling of “premium” product owners 107 2.13 Voluntary churn modeling 108 2.14 Summary of what we’ve learned so far: it’s not about the tool or the modeling algorithm. It’s about the methodology and the design of the process 111 3 Behavioral segmentation methodology 112 3.1 An introduction to customer segmentation 112 3.2 An overview of the behavioral segmentation methodology 113 3.3 Business understanding and design of the segmentation process 115 3.3.1 Definition of the business objective 115 3.3.2 Design of the modeling process 115 3.3.2.1 Selecting the segmentation population 115 3.3.2.2 Selection of the appropriate segmentation criteria 116 3.3.2.3 Determining the segmentation level 116 3.3.2.4 Selecting the observation window 116 3.4 Data understanding, preparation, and enrichment 117 3.4.1 Investigation of data sources 117 3.4.2 Selecting the data to be used 117 3.4.3 Data integration and aggregation 118 3.4.4 Data exploration, validation, and cleaning 118 3.4.5 Data transformations and enrichment 122 3.4.6 Input set reduction 124 3.5 Identification of the segments with cluster modeling 126 3.6 Evaluation and profiling of the revealed segments 128 3.6.1 “Technical” evaluation of the clustering solution 128 3.6.2 Profiling of the revealed segments 132 3.6.3 Using marketing research information to evaluate the clusters and enrich their profiles 138 3.6.4 Selecting the optimal cluster solution and labeling the segments 139 3.7 Deployment of the segmentation solution, design and delivery of differentiated strategies 139 3.7.1 Building the customer scoring model for updating the segments 140 3.7.1.1 Building a Decision Tree for scoring: fine‐tuning the segments 141 3.7.2 Distribution of the segmentation information 141 3.7.3 Design and delivery of differentiated strategies 142 3.8 Summary 142 Part II The Algorithms 143 4 Classification algorithms 145 4.1 Data mining algorithms for classification 145 4.2 An overview of Decision Trees 146 4.3 The main steps of Decision Tree algorithms 146 4.3.1 Handling of predictors by Decision Tree models 148 4.3.2 Using terminating criteria to prevent trivial tree growing 149 4.3.3 Tree pruning 150 4.4 CART, C5.0/C4.5, and CHAID and their attribute selection measures 150 4.4.1 The Gini index used by CART 151 4.4.2 The Information Gain Ratio index used by C5.0/C4.5 155 4.4.3 The chi‐square test used by CHAID 158 4.5 Bayesian networks 170 4.6 Naive Bayesian networks 172 4.7 Bayesian belief networks 176 4.8 Support vector machines 184 4.8.1 Linearly separable data 184 4.8.2 Linearly inseparable data 187 4.9 Summary 191 5 Segmentation algorithms 192 5.1 Segmenting customers with data mining algorithms 192 5.2 Principal components analysis 192 5.2.1 How many components to extract? 194 5.2.1.1 The eigenvalue (or latent root) criterion 196 5.2.1.2 The percentage of variance criterion 197 5.2.1.3 The scree test criterion 198 5.2.1.4 The interpretability and business meaning of the components 198 5.2.2 What is the meaning of each component? 199 5.2.3 Moving along with the component scores 201 5.3 Clustering algorithms 203 5.3.1 Clustering with K‐means 204 5.3.2 Clustering with TwoStep 211 5.4 Summary 213 Part III The Case Studies 215 6 A voluntary churn propensity model for credit card holders 217 6.1 The business objective 217 6.2 The mining approach 218 6.2.1 Designing the churn propensity model process 218 6.2.1.1 Selecting the data sources and the predictors 218 6.2.1.2 Modeling population and level of data 218 6.2.1.3 Target population and churn definition 218 6.2.1.4 Time periods and historical information required 219 6.3 The data dictionary 219 6.4 The data preparation procedure 221 6.4.1 From cards to customers: aggregating card‐level data 221 6.4.2 Enriching customer data 225 6.4.3 Defining the modeling population and the target field 228 6.5 Derived fields: the final data dictionary 232 6.6 The modeling procedure 232 6.6.1 Applying a Split (Holdout) validation: splitting the modelling dataset for evaluation purposes 232 6.6.2 Balancing the distribution of the target field 232 6.6.3 Setting the role of the fields in the model 239 6.6.4 Training the churn model 239 6.7 Understanding and evaluating the models 241 6.8 Model deployment: using churn propensities to target the retention campaign 248 6.9 The voluntary churn model revisited using RapidMiner 251 6.9.1 Loading the data and setting the roles of the attributes 251 6.9.2 Applying a Split (Holdout) validation and adjusting the imbalance of the target field’s distribution 252 6.9.3 Developing a Naïve Bayes model for identifying potential churners 252 6.9.4 Evaluating the performance of the model and deploying it to calculate churn propensities 253 6.10 Developing the churn model with Data Mining for Excel 254 6.10.1 Building the model using the Classify Wizard 256 6.10.2 Selecting the classification algorithm and its parameters 257 6.10.3 Applying a Split (Holdout) validation 257 6.10.4 Browsing the Decision Tree model 259 6.10.5 Validation of the model performance 259 6.10.6 Model deployment 263 6.11 Summary 266 7 Value segmentation and cross‐selling in retail 267 7.1 The business background and objective 267 7.2 An outline of the data preparation procedure 268 7.3 The data dictionary 272 7.4 The data preparation procedure 272 7.4.1 Pivoting and aggregating transactional data at a customer level 272 7.4.2 Enriching customer data and building the customer signature 276 7.5 The data dictionary of the modeling file 279 7.6 Value segmentation 285 7.6.1 Grouping customers according to their value 285 7.6.2 Value segments: exploration and marketing usage 287 7.7 The recency, frequency, and monetary (RFM) analysis 290 7.7.1 RFM basics 290 7.8 The RFM cell segmentation procedure 293 7.9 Setting up a cross‐selling model 295 7.10 The mining approach 295 7.10.1 Designing the cross‐selling model process 296 7.10.1.1 The data and the predictors 296 7.10.1.2 Modeling population and level of data 296 7.10.1.3 Target population and definition of target attribute 296 7.10.1.4 Time periods and historical information required 296 7.11 The modeling procedure 296 7.11.1 Preparing the test campaign and loading the campaign responses for modeling 298 7.11.2 Applying a Split (Holdout) validation: splitting the modelling dataset for evaluation purposes 298 7.11.3 Setting the roles of the attributes 299 7.11.4 Training the cross‐sell model 300 7.12 Browsing the model results and assessing the predictive accuracy of the classifiers 301 7.13 Deploying the model and preparing the cross‐selling campaign list 308 7.14 The retail case study using RapidMiner 309 7.14.1 Value segmentation and RFM cells analysis 310 7.14.2 Developing the cross‐selling model 312 7.14.3 Applying a Split (Holdout) validation 313 7.14.4 Developing a Decision Tree model with Bagging 314 7.14.5 Evaluating the performance of the model 317 7.14.6 Deploying the model and scoring customers 317 7.15 Building the cross‐selling model with Data Mining for Excel 319 7.15.1 Using the Classify Wizard to develop the model 319 7.15.2 Selecting a classification algorithm and setting the parameters 320 7.15.3 Applying a Split (Holdout) validation 322 7.15.4 Browsing the Decision Tree model 322 7.15.5 Validation of the model performance 325 7.15.6 Model deployment 329 7.16 Summary 331 8 Segmentation application in telecommunications 332 8.1 Mobile telephony: the business background and objective 332 8.2 The segmentation procedure 333 8.2.1 Selecting the segmentation population: the mobile telephony core segments 333 8.2.2 Deciding the segmentation level 335 8.2.3 Selecting the segmentation dimensions 335 8.2.4 Time frames and historical information analyzed 335 8.3 The data preparation procedure 335 8.4 The data dictionary and the segmentation fields 336 8.5 The modeling procedure 336 8.5.1 Preparing data for clustering: combining fields into data components 340 8.5.2 Identifying the segments with a cluster model 342 8.5.3 Profiling and understanding the clusters 344 8.5.4 Segmentation deployment 354 8.6 Segmentation using RapidMiner and K‐means cluster 354 8.6.1 Clustering with the K‐means algorithm 354 8.7 Summary 359 Bibliography 360 Index 362

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Book SynopsisA well-balanced and accessible introduction to the elementary quantitative methods and Microsoft Office Excel applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft Office Excel provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, theTable of ContentsPreface xiii 1. The Mathematical Toolbox 1 1.1 Introduction 1 1.2 Linear Functions 2 1.3 Solving a Simple Linear Equation for one Unknown Variable 3 1.3.1 Solving Two Simultaneous Linear Equations for Two Unknown Variables 4 1.4 Summation Notation 6 1.5 Sets 12 1.5.1 Subset, Empty Set, Universal Set, and Complement of A Set 13 1.5.2 Intersection and Union 14 1.6 Functions and Graphs 15 1.6.1 Vertical Line Test 16 1.7 Working with Functions 17 1.7.1 Evaluating Functions 17 1.7.2 Graphing Functions 18 1.8 Differentiation and Integration 21 1.8.1 Derivative 22 1.8.2 Derivatives of Logarithmic and Exponential Functions 26 1.8.3 Higher Order Derivatives 26 1.8.4 Integration 28 1.8.5 The Definite Integral 29 1.8.6 Some Rules of Integration 31 1.9 Excel Applications 34 Chapter 1 Review 40 Eercises 41 Appendix 1.A: A Review of Basic Mathematics 45 Eercises 63 2. Applications of Linear and Nonlinear Functions 66 2.1 Introduction 66 2.2 Linear Demand and Supply Functions 66 2.3 Linear Total Cost and Total Revenue Functions 69 2.4 Market Equilibrium 71 2.5 Graphical Presentation of Equilibrium 72 2.6 Applications of Nonlinear Functions 73 2.7 Present Value of an Income Stream 78 2.8 Average Values 79 2.9 Marginal Values 80 2.10 Elasticity 81 2.11 Some Additional Business Applications 84 2.12 Excel Applications 84 Chapter 2 Review 86 Eercises 87 Excel Applications 90 3. Optimization 91 3.1 Introduction 91 3.2 Unconstrained Optimization 91 3.2.1 Models of Profit and Revenue Maximization 91 3.2.2 Solution by Trial and Error (Approximate) Method 92 3.2.3 Solution Using the Calculus Approach 93 3.2.4 Solution by Trial and Error (Approximate) Method 96 3.2.5 Solution Using the Calculus Approach 97 3.3 Models of Cost Minimization: Inventory Cost Functions and Eoq 99 3.3.1 Solution by Trial and Error Method 101 3.3.2 Solution Using the Calculus Approach 103 3.4 Constrained Optimization: Linear Programming 105 3.4.1 Linear Programming: Maximization 106 3.4.1.1 Solution by Graphical Method: First Approach 106 3.4.1.2 Solution by Graphical Method: Second Approach 109 3.4.2 Linear Programming: Minimization 114 3.5 Excel Applications 121 Chapter 3 Review 125 Chapter 3 Eercises 126 Excel Applications 130 4. What Is Business Statistics? 131 4.1 Introduction 131 4.2 Data Description 132 4.2.1 Some Important Concepts in Statistics 132 4.2.2 Scales of Data Measurement 132 4.3 Descriptive Statistics: Tabular and Graphical Techniques 134 4.4 Descriptive Statistics: Numerical Measures of Central Tendency or Location of Data 144 4.4.1 Population Mean 144 4.4.2 Sample Mean 145 4.4.3 Weighted Mean 147 4.4.4 Mean of a Frequency Distribution: Grouped Data 148 4.4.5 Geometric Mean 149 4.4.6 Median 151 4.4.7 Quantiles, Quartiles, 4.5 Descriptive Statistics: Measures of Dispersion—Variability or Spread 155 4.5.1 Range 155 4.5.2 Variance 155 4.5.3 Standard Deviation 158 4.5.4 Coefficient of Variation 160 4.5.5 Some Important Uses of the Standard Deviation 163 4.5.6 Empirical Rule 165 4.6 Measuring Skewness 166 4.7 Excel Applications 169 Chapter 4 Review 186 Eercises 188 Excel Applications 191 5. Probability and Applications 194 5.1 Introduction 194 5.2 Some Useful Definitions 195 5.3 Probability Sources 196 5.3.1 Objective Probability 196 5.3.2 Subjective Probability 196 5.4 Some Useful Definitions Involving Sets of Events in the Sample Space 197 Complement of a Given Set A 199 Mutually Exclusive Events 200 5.5 Probability Laws 200 5.5.1 General Rule of Addition 200 5.5.2 Rule of Complements 202 5.5.3 Conditional Probability 202 5.5.4 General Rule of Multiplication (Product Rule) 203 5.5.5 Independent Events 204 5.5.6 Probability Tree Approach 204 5.6 Contingency Table 208 5.7 Excel Applications 213 Chapter 5 Review 214 Eercises 215 Excel Applications 218 6. Random Variables and Probability Distributions 219 6.1 Introduction 219 6.2 Probability Distribution of a Discrete Random Variable X 220 6.3 Expected Value, Variance, and Standard Deviation of a Discrete Random Variable X 222 6.3.1 Some Basic Rules of Expectation 224 6.3.2 Some Useful Properties of Variance of X 225 6.3.3 Applications of Expected Values 225 6.4 Continuous Random Variables and Their Probability Distributions 230 6.5 A Specific Discrete Probabilty Distribution: the Binomial Case 232 6.5.1 Binomial Probability Distribution 232 6.5.2 Mean and Standard Deviation of the Binomial Random Variable 237 6.5.3 Cumulative Binomial Probability Distribution 238 6.6 Excel Applications 241 Chapter 6 Review 245 Eercises 245 Appendix 6.A 252 About the Companion Website 263 Index 265

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Book SynopsisThis authoritative Wiley Blackwell Handbook in Organizational Psychology focuses on individual and organizational applications of Internet-enabled technologies within the workplace. The editors have drawn on their collective experience in collating thematically structured material from leading writers based in the US, Europe, and Asia Pacific. Coinciding with the growing international interest in the application of psychology to organizations, the work offers a unique depth of analysis from an explicitly psychological perspective. Each chapter includes a detailed literature review that offers academics, researchers, scientist-practitioners, and students an invaluable frame of reference. Coverage is built around competencies set forth by regulatory agencies including the APA and BPS, and includes E-Recruiting, E-Leadership, and E-Learning; virtual teams; cyberloafing; ergonomics of human-computer interaction at work; permanent accessibility and work-life balance; and trust in online Table of ContentsAbout the Editors vii About the Contributors ix Foreword xv 1 The Psychology of the Internet @ Work 1Guido Hertel, Dianna L. Stone, Richard D. Johnson, and Jonathan Passmore Part I Individual Perspectives 19 2 Digitized Communication at Work 21Nicole C. Krämer and Stephan Winter 3 Ergonomics of Information Technologies at Work 39Ben V. Hanrahan and John M. Carroll 4 Competencies for Web-Based Work and Virtual Collaboration 61Stefan Krumm and Julian Schulze 5 User Experience, Gamification, and Performance 79Meinald T. Thielsch and Jörg Niesenhaus 6 Trust in Virtual Online Environments 103Sirkka L. Jarvenpaa, Celeste Cantu, and Shi Ying Lim 7 Workplace Cyberdeviance 131Steven D. Charlier, Gary W. Giumetti, Cody J. Reeves, and Lindsey S. Greco 8 Blended Working 157Nico W. van Yperen and Burkhard Wörtler 9 Flexwork, Work–Family Boundaries, and Information and Communication Technologies 175Ronald E. Rice 10 Mobile Computing and Hand-Held Devices at Work 195Humayun Zafar Part II Organizational Perspectives 211 11 E-Recruiting: Using Technology to Attract Job Applicants 213Derek Chapman and Anna F. Gödöllei 12 Social Networking Systems, Search Engines, and the Employment Process 231Kimberly M. Lukaszewski and Andrew F. Johnson 13 The Evolution of E-Selection 257David N. Dickter, Victor Jockin, and Tanya Delany 14 E-Leadership 285Surinder Kahai, Bruce J. Avolio, and John Sosik 15 Virtual Teams 315M. Travis Maynard, Lucy L. Gilson, Nicole C. Jones Young, and Matti Vartiainen 16 Online Employee Surveys and Online Feedback 347Bernad Batinic and Carrie Kovacs 17 E-Learning 369Richard D. Johnson and Kenneth G. Brown Part III Societal and Cross-Sectorial Perspectives 401 18 Robots in the Digitalized Workplace 403Jochen J. Steil and Günter W. Maier 19 Social Issues Associated with the Internet at Work 423Dianna L. Stone, Dianna Krueger, and Stephen Takach 20 Employee Age Differences in Using Internet-Based Tools at Work 449Gabriela Burlacu, Donald M. Truxillo, and Talya N. Bauer 21 The Future of Work 481Stela Lupushor and Alex Fradera Index 509

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Book SynopsisDiscover what doesand doesn'twork when designing and building a data governance program In A Practitioner's Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on. Ideal for companies trying to resolve a wide variety of issues around data governance, this book: Offers a straightforward starting point for companies just beginning to think about data governance Provides solutions when company employees and leaders don'tfor whatever reasontrust the data the company has Suggests proven strategies for getting a data governance program that's gone off the rails back on track Complete with visual examplesTable of ContentsAcknowledgments xiii Chapter 1 Introduction 1 Intended Audience 2 Experience 2 Common Challenge Themes 4 Chapter 2 Rethinking Data Governance 17 Results You Can Expect with Common Approaches to Data Governance 18 What Does Work 21 Rethinking Data Governance Summary 23 Chapter 3 Data Governance and Data Management 25 Results You Can Expect Focusing Purely on Data Governance or Data Management 26 SAS Data Management Framework 26 Aligning Data Governance and Data Management Outcomes 38 Misaligning Data Governance and Data Management 43 Data Governance and Data Management Summary 45 Chapter 4 Priorities 47 Results You Can Expect Using the Most Common Approaches to Prioritization 48 A Disciplined Approach to Priorities 50 Utilizing the Model 55 Priorities Summary 64 Chapter 5 Common Starting Points 65 Results You Can Expect with Too Many Entry Points 66 Building a Data Portfolio 66 Metadata 67 Data Quality 70 Data Profiling 75 Common Starting Points Summary 76 Chapter 6 Data Governance Planning 77 Results You Can Expect Without Planning 78 Defining Objectives 78 Defining Guiding Principles 85 Data Governance Planning Summary 88 Chapter 7 Organizational Framework 91 Results You Can Expect When There Is No Defined Organizational Structure 92 Organizational Framework Roles 92 Defining a Framework 94 Aligning the Model to Existing Structures 97 Aligning the Framework to the Culture 100 Simplifying the Model 103 Defining the Right Data Stewardship Model 104 Organizational Framework Summary 109 Chapter 8 Roles and Responsibilities 111 Results You Can Expect When Roles and Responsibilities Are Not Clearly Defined 112 Aligning Actions and Decisions to Program Objectives 112 Using a RACI Model 119 Defining Roles and Responsibilities 126 Data Governance Steering Committee 126 Data Management 131 Naming Names 131 Roles and Responsibilities Summary 135 Chapter 9 Operating Procedures 137 Results You Can Expect Without Operating Procedures 138 Operating Procedures 138 Workflows 146 Operating Procedures Summary 152 Chapter 10 Communication 153 Results You Can Expect Without Communication 154 Communication Plan Components 154 Sample Communication Plan 156 Communication Summary 160 Chapter 11 Measurement 161 Results You Can Expect Without Measurement 162 What Measurements to Define 162 Program Scorecard – A Starting Point 166 Program Scorecard Sample 172 Measurement Summary 173 Chapter 12 Roadmap 175 Results You Can Expect Without a Roadmap 176 First Step in Defining a Roadmap: Implementing Your Framework 176 Defining a Roadmap 178 Formality First or Save It for Later? 184 Critical Success Factors 185 Roadmap Summary 188 Chapter 13 Policies 189 Results You Can Expect Without Policies 190 Breaking Down a Policy 190 Contents of a Policy 192 Policy Example – Metadata 193 Policy Example – Data Quality 200 Policy Summary 204 Chapter 14 Data Governance Maturity 207 Results You Can Expect With Maturity 208 Data Governance Maturity Cycle 209 Maturing Your Program 215 Summary 216 About the Author 217 Glossary of Terms 219 Index 221

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Book SynopsisEvery business area relies on an understanding of statistics to succeed. Statistics for Business and Economics by Carlos Cortinhas and Ken Black shows students that the proper application of statistics in the business world goes hand-in-hand with good decision making. Every statistical tool presented in this book has a business application set in a global context and the many learning features and easy to use structure will engage and reassure each business statistic student.Table of ContentsUnit I Introduction 1 Introduction to Statistics 3 2 Charts and Graphs 19 3 Descriptive Statistics 51 4 Probability 102 Unit II Distributions and Sampling 5 Discrete Distributions 149 6 Continuous Distributions 194 7 Sampling and Sampling Distributions 234 Unit III Making Inferences About Population Parameters 8 Statistical Inference: Estimation for Single Populations 271 9 Statistical Inference: Hypothesis Testing for Single Populations 310 10 Statistical Inferences About Two Populations 363 11 Analysis of Variance and Design of Experiments 422 Unit IV Regression Analysis and Forecasting 12 Simple Regression Analysis and Correlation 487 13 Multiple Regression Analysis 545 14 Building Multiple Regression Models 578 15 Time-Series Forecasting and Index Numbers 625 Unit V Categorical Data and Non-parametric Statistics 16 Analysis of Categorical Data 685 17 Non-parametric Statistics 713 Appendices A Tables 765 B Answers to Selected Odd-Numbered Quantitative Problems 807 Glossary 819 Index 829 Website Materials 18 Statistical Quality Control 19 Decision Analysis

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