Business mathematics and systems Books

Book SynopsisTable of ContentsI. Systems Analysis Fundamentals 1. Systems, Roles, and Development Methodologies 2. Understanding and Modeling Organization Systems 3. Project Management II. Information Requirements Analysis 4. Information Gathering: Interactive Methods 5. Information Gathering: Unobtrusive Methods 6. Agile Modeling, Prototyping, and Scrum III. The Analysis Process 7. Using Data Flow Diagrams 8. Analyzing Systems Using Data Dictionaries 9. Process Specifications and Structured Decisions 10. Object-Oriented Systems Analysis and Design Using UML IV. The Essentials of Design 11. Designing Effective Output 12. Designing Effective Input 13. Designing Databases 14. Human-Computer Interaction and UX Design V. Quality Assurance and Implementation 15. Designing Accurate Data Entry Procedures16. Quality Assurance and Implementation

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Book SynopsisThe hands-on STUDY GUIDE to Martin Pring's TECHNICAL ANALYSIS classicTechnical Analysis Explained is the definitive guide for mastering technical analysis. In this hands-on companion, technical analysis wizard Martin Pring serves as your personal investing coach, taking you step-by-step through his long-proven methods.Packed with hundreds of questions that correspond to chapters and sections throughout the book, Study Guide for Technical Analysis Explained, Fifth Edition, features: Charts and graphs to help you visually digest the concepts presented Full text answers to guarantee your complete understanding of each important idea Fill-in-the-blank, multiple-choice, and matching question formats The straightforward, no-nonsense style that made Technical Analysis Explained a classic Technical analysis mastery isn't easy, but its financial rewards make it indispensable. Use Study Guide for Technical Analysis ExplainedTable of ContentsHow to Use This Study Guide 11 The Definition and Interaction of Trends 32 Financial Markets and the Business Cycle 93 Dow Theory 154 Typical Parameters for Intermediate Trends 215 How to Identify Support and Resistance Zones 276 Trendlines 337 Basic Characteristics of Volume 418 Classic Price Patterns 499 Smaller Price Patterns and Gaps 5910 One- and Two-Bar Price Patterns 6511 Moving Averages 7112 Envelopes and Bollinger Bands 7713 Momentum I: Basic Principles 8314 Momentum II: Individual Indicators 9115 Momentum III: Individual Indicators 9716 Candlestick Charting 10717 Point and Figure Charting 11518 Miscellaneous Techniques for Determining Trends 11919 The Concept of Relative Strength 12721 Price: The Major Averages 13322 Price: Sector Rotation 13923 Time: Analyzing Secular Trends for Stocks,Bonds, and Commodities 14524 Time: Cycles and Seasonal Patterns 15125 Practical Identification of Cycles 15726 Volume II: Volume Indicators 16127 Market Breadth 16928 Indicators and Relationships That Measure Confidence 17529 The Importance of Sentiment 18130 Integrating Contrary Opinion and Technical Analysis 18731 Why Interest Rates Affect the Stock Market 19332 Using Technical Analysis to Select Individual Stocks 19733 Technical Analysis of International Stock Markets 20334 Automated Trading Systems 209Index 214

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Book SynopsisTable of ContentsI. Expectations Elicitation 1. Household surveys and probabilistic questions 2. Firm surveys 3. Surveys of professionals 4. Expectations in lab experiments 5. Field experiments in surveys 6. Market data II. Expectations as Data 7. Inflation expectations 8. Housing market expectations 9. Expectations in education 10. Expectations in development 11. Expectations of older households (retirement, demographics) 12. Expectations of financial market participants 13. Expectations of firms about macroeconomic variables 14. Expectations of firms about their own variables III. Expectations Data and Theory 15. Expectations data, term structure and monetary policy 16. Expectations data and DSGE models 17. Expectations data in structural micro models 18. Expectations data and asset pricing 19. Expectations data, labor market and job search IV. Theory of Expectations 20. Sentiment and confidence in macro models 21. Expectations in incomplete market models 22. Heterogeneous beliefs 23. Ambiguity and Uncertainty 24. Learning V. Open Issues 26. The Epidemiology of Expectations and the Media 27. Neuroeconomics and Expectations 28. Health Expectations

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Book SynopsisThis book provides a shortform definitive reference text on the landscape and features of Aotearoa New Zealand that underpin its familiar, though country-specific, ways of caring for the dead. It provides an account of diverse funerary practices that have taken shape through the various cultures that have settled here.In the backdrop of the colonising history of Aotearoa New Zealand, the book examines the complex legislative framework that separates MÄori and non-MÄori funerary legislation and practices. Examining the mixed model of provision spanning municipal, commercial, and private organisations, the book outlines various aspects of funerals, such as the care of the body, funeral arrangements, costs, and what state support is available. It also delves into the two legal ways to manage the dead: burial or cremation, with cremation now the majority option. The book explores the numbers, ownership and locations of crematoria and cemeteries before identifying the new trends influencing death care including sustainability. It then looks at how death is memorialised in Aotearoa New Zealand, including in cemeteries, for war memorialisation, and other public commemoration and memorialisation.This book will be of interest to the growing body of local authority planners, researchers, and funeral professionals who must be responsive to and provide their services in complex multi-cultural contexts. As the scope of the book is historical and contemporary death practices, it will also appeal to social historians.

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Book SynopsisThis book brings together thirty years of original empirical research on key aspects of the formation and development of small firms from selected articles authored or co-authored by Peter Johnson. Complete with a comprehensive introduction from the author placing the work in relation to the contemporary debates on the subject and providing a cohesive overview, these essays provide an excellent historical context for current research in this area. Many of the studies in this book emphasise the interrelatedness of economic activity and decisions, an emphasis that serves as an important reminder of the complex business environments in which small firms operate. The book is divided into five sections. The first part focuses on the process of business formation. In part two, the role of new firms in regional development is considered. The third section deals with employment issues, whilst part four looks at various aspects of growth and development. Finally, the book concludes wiTable of Contents1. Introduction Part 1: Business Formation 2. The Founders of New Manufacturing Firms: A Note on the Size of their ‘Incubator’ Plants with D.G. Cathcart 3. Firm Formation in Manufacturing Industry with J. Creedy 4. How Good are the UK VAT Registration Data at Measuring Firm Births? C. Conway Part 2: Regional Issues 5. New Manufacturing Firms and Regional Development: Some Evidence from the Northern Region with D.G. Cathcart 6. Spatial Variations in the Determinants and Effects of Firm Births and Deaths with S. Parker 7. Differences in Regional Firm Formation Rates: A Decomposition Analysis Part 3: Employment 8. Unemployment and Self-Employment: A Survey 9. New Firms and Employment Creation with R.B.Thomas 10. Employment Change in the Small Establishment Sector in UK Manufacturing Part 4: Growth and Development 11. How Good are Small Firms at Predicting Employment? with J. Ashworth and C. Conway 12 Small Business Growth in the Short Run with C. Conway and P. Kattuman 13. The Size-Age-Growth Relationship in Not-for-Profit Tourist Attractions: Evidence from UK Museums Part 5: Policy 14. Government Policies towards Business Formation: An Economic Appraisal of a Training Scheme with R.B. Thomas 15. Targeting Firm Births and Economic Regeneration in a Lagging Region 16. Some Reflections

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Book SynopsisIt can be said that our times are characterized both by the omnipresence of organizations and by the destabilization of organized social life, caused by the erosion of its structural and moral foundations such as long-term employment, social trust or an actual observance of the proclaimed codes of ethics. At the same time there is a huge and growing potential for organized change due to the amount of students and graduates of different types of management studies and programmes all over the world. The role of the state may become atrophied and corporations seem all too eager to seize ever more power while renouncing responsibility towards the environment and the employees, but a huge and unprecedented number of people from all walks of life, all social classes and all countries now have the qualifications to take over the responsibility for social organizations.The objective of Occupy Management: Inspirations and Ideas for Self-Organization and Self-Management iTrade Review‘Monika Kostera’s book isn’t about Occupy, and all its related social movements, but uses the metaphor of occupation as an entryist injunction to take back ‘management’ from those who wish to make it a discipline based on hierarchy and order. It’s a kind of squatting, though a gentle and polite one. The tone of the book is to celebrate all the things in heaven and earth that are not dreamt of in conventional managerialism and use them as imaginative springboards to different ways of thinking about management.’ - Martin Parker, University of Leicester UK, excerpt from review in Organization, March 2016, SAGE Publications‘In its playful style, its photographic illustrations from the author’s valuable collection, its joyful spirit, and its totally uninhibited mix of personal storytelling and poetry [this book] draws the reader into the author’s private life with the free ranging discussion of ideas; this book provides a welcome antidote to the stifling straightness of much academic writing.’ - Yiannis Gabriel, University of Bath and University of Lund, excerpt from review in 'Management Learning', September 2014, SAGE Publications'This is a tremendously important text, standing out among the rising tide of studies and manifestoes aimed at tapping the heretofore neglected yet profuse supplies of human faculties and energies marginalized and suppressed by the orthodox bureaucratic model of management. It offers simultaneously a profound diagnosis of the current state of affairs, an exhaustive inventory of its limitations and deficiencies - as well as opening new vistas and presenting a thorough analysis of an art of management fit to avail itself of the novel opportunities the post-bureaucratic era might offer.' - Zygmunt Bauman, Emeritus Professor of Sociology, University of Leeds, UK'All those who want to participate in positively changing the world by finding and introducing new and feasible solutions to existing problems and needs certainly find in the book inspiration and motivation essential for pursuing their mission.' - Aneta Milczarczyk, Freelance Researcher and Project Coordinator'Occupy Management! Engages with management from the heart. It explores the joys of organization, and the tyranny of domination. A unique and challenging approach to management in contemporary life.' - Jonathan Murphy, Visiting Professor, Copenhagen Business School, Denmark'This is a remarkable book, simultaneously profound, thought-provoking, and beautiful. Professor Kostera has fashioned a genuinely mesmerizing lens on organizing, a ‘through-the-looking-glass’ one that is considerably more inviting and humanistic than most others in this field. She also combines old-world scholarship and sophistication with highly contemporary thinking. The result is a kind of organizational nouvelle cuisine that is at once lyrical, deep, satisfying, and eye-opening. It will be a welcome read for anyone wanting fresh views, possibilities, and approaches for organizing and managing in today’s world.' - Professor Daved Barry, Copenhagen Business School, Denmark'Recycling valuable concepts and theories from the academic fields of management and organization studies, Occupy Management! will encourage you to rethink the roles self-management and self-organizing can play in deciding whether our future will be sustainable, democratic and humane or will continue its slide down the rabbit hole of hate, fear and oppression. In the spirit of exploring alternative futures, this is organization theory as participatory art!' - Mary Jo Hatch, C. Coleman McGehee Eminent Scholars Research Professor of Banking and Commerce, Emerita, University of Virginia, USATable of ContentsPart I: Planning 1.Imagination 2.Inspiration 3.Intuition Part II: Organizing 4.Structure 5.Space 6.Synchronicity Part III: Motivating 7.Leadership 8.Learning 9.Love Part IV: Controlling 10.Ethos 11.Ethics 12.Ecology 13.A Coda

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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 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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a huge range and FREE tracked UK delivery on ALL orders.

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Book Synopsis

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisIn this fourth edition of the bestselling business book Managing Humans, author Michael Lopp continues to draw leadership advice from some of the most important software companies of our modern age. Educational stories from companies such as Apple, Slack, and Pinterest detail the experiences of bright software engineers in an ever-changing industry.This revised edition of Managing Humans expands on the previous editions'' explorations of management essentials including handling stress, building diverse teams, running inclusive meetings, and how to lead in times of crisis. The education of a great leader never stops, and Lopp applies crucial insights to help continue your never-ending leadership education. Whether it is approaching a myriad of engineering personalities or handling unexpected conflict, you will come away with the wisdom to handle any team situation.The engineering culture of a company can determine the diffeTable of ContentsPart I1: Don't Be A Prick 2: Managers Are Evil 3: Stables and Volatiles 4: The Rands Test 5: How to Run a Meeting 6: The Twinge 7: The Update, the Vent, and the Disaster 8: Lost in Translation 9: Agenda Detection 10: Management via Worry and Crisis 11: Dissecting the Mandate 12: Information Starvation 13: Subtlety, Subterfuge, and Silence 14: Your Mid-Year Leadership Check-in 15: Managementese 16: You're Not Listening 17: The Hotel Giraffe 18: Fred Hates the Off-Site 19: A Different Kind of DNA 20: An Engineering Mindset 21: Tear It Down 22: Titles Are Toxic 23: Saying NoPart II 24: 1.0 25: The Process Myth 26: How to Start 27: Taking Time to Think 28: Meetings are Not For You 29: The Value of the Soak 30: Capturing Context 31: Trickle Theory 32: When the Sky Falls 33: Hacking is Important 34: WFH 35: Entropy Crushers 36: Your Culture is Rotting 37: The MetronomePart III 38: Bored People Quit 39: Bellwethers 40: The Ninety-Day Interview 41: Managing Nerds 42: Incrementalists and Completionists 43: NADD 44: A Nerd in a Cave 45: Meeting Creatures 46: Organics and Mechanics 47: Inwards, Outwards, and Holistics 48: The Wolf 49: Free Electrons 50: The Old Guard 51: Rules for the Reorg 52: An Unexpected Connection 53: You are Going on a Quest 54: A Glimpse and a Hook 55: Nailing the Phone Screen 56: Your Resignation Checklist 57: Shields Down 58: Chaotic, Beautiful Snowflakes 59: Epilogue: Fear is a Liar Glossary

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Book SynopsisLeverage the power of Artificial Intelligence (AI) to drive the growth and success of your organization. This book thoroughly explores the reasons why it is so hard to implement AI, and highlights the need to reconcile the motivations and goals of two very different groups of people,business-minded and technical-minded.Divided into four main parts (First Principles,The Why,The What,The How), you'll review case studies and examples from companies that have successfully implemented AI. Part 1 provides a comprehensive overview of the First Principles approach and its basic conventions. Part 2 provides an in-depth look at the current state of AI and why it is increasingly important to businesses of all sizes. Part 3 delves into the key concepts and technologies of AI. Part 4 shares practical guidance and actionable steps for businesses looking to implement AI.Grow Your Business with AI is a must-read for anyone looking to understand and harness the power of AI for business growth and to stTable of ContentsPart I. Introduction and First Principles.- 1. Defining the Problem and Opportunity.- 2. First Principles Methodology.- 3. First Principles for the Key Areas Needed for AI.- 4. The Barriers for Implementing AI.- Part II. The WHY- 5. Introduction to AI and its Role in Business.- 6. Key Trends in AI.- 7. Data Monetization with AI.- Part III.The WHAT.- 8. Overview of AI Concepts and Technologies.- 9. Supervised and Unsupervised Learning.- 10. Neural Networks, Deep Learning and Foundational Models.- 11. Creating an AI Roadmap fully aligned to Enterprise Strategies.- 12. Funding and Measuring the AI Journey.- 13. How to Approach Open Data.- Part IV. The HOW.- 14. Organization & Governance.- 15. Identifying Use Cases and Assembling a Team.- 16. Selecting Tools and Platforms.- 17. Architecting AI Apps: When/How to be Cloud Native.- 18. Integrating AI into Existing Systems and Processes.- 19. Case Studies and Examples.- 20. Responsible AI: Understanding the Ethical and Regulatory Implications of AI.- 21. Scaling AI in the Enterprise: AI Maturity Model.- Part V. The Future.- 22. How Younger Generations See the Future.- 23. AI Future Trends and It's Considerations for Business.- 24. Conclusion.- Appendix.

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Book SynopsisInternet Strategy: The Road to Web Services Solutions reminds readers that several attempts have been made to convince the world that DOT.COM was developed to take over businesses, and the traditional way of creating businesses and running organizations would be condemned to the past. One of those attempts led to the Application Service Provision model, from which the current Web Services business model takes its origins. As organizations start to carefully invest again, ""Internet Strategy: The Road to Web Services Solutions"" shows that the focus is on delivering value and enabling growth. The book concentrates on how to create, execute and evolve a customer-centric strategy of any Internet-based management strategy in order to provide valuable customer experiences. ""Internet Strategy: The Road to Web Services Solutions"" presents how enabling technologies are as important as ever. It points out that there's a need to move to new levels in thinking and execution, to help organizations maintain cost efficiencies and enable growth in revenues and profitability.Table of ContentsPART I - Strategic Approaches to Internet for Organizations; PART II - Case Studies; PART III - Thriving or Not.

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Book SynopsisThis book is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics. Building up gently from a very low level, the authors provide a clear, systematic coverage of calculus and matrix algebra. The second half of the book gives a thorough account of probability, optimisation and dynamics.The emphasis throughout is on intuitive argument and problem-solving. All methods are illustrated by examples, exercises and problems selected from central areas of modern economic analysis. The book’s careful arrangement in short chapters enables it to be used in a variety of course formats for students with or without prior knowledge of calculus, for reference and for self-study. This new fourth edition includes two chapters on probability theory, providing the essential mathematical background for upper-level courses on economic theory, econometrics and finance.Trade Review'In spite of the wide scope of this textbook, its presentation is clear and crisp. The materials are very carefully organised. The transition from mathematical principles to economic propositions is remarkably lucid throughout the book. If a first-year undergraduate student in economics comes to ask me which one, among many books on mathematics for economists, to buy for years to come, then I would definitely tell them that this is the one.'Chiaki Hara, Institute of Economic Research, Kyoto University‘This is a great text to learn from – the authors do an excellent job providing intuitive explanations, making connections between results and illustrating the use of mathematics in solving economics problems, and there is a host of solved exercises which perform two roles: providing essential practice material and introducing further applications in economics.’Andrew Chesher, Director of The Centre for Microdata Methods and Practice, IFS and UCL -- .Table of Contents1. Linear equations2. Linear inequalities3. Sets and functions4. Quadratics, indices and logarithms5. Sequences, series and limits6. Introduction to differentiation7. Methods of differentiation8. Maxima and minima9. Exponential and logarithmic functions10. Approximations11. Matrix algebra12. Systems of linear equations13. Determinants and quadratic forms14. Functions of several variables15. Implicit relations16. Optimisation with several variables17. Principles of constrained optimisation18. Further topics in constrained optimisation19. Integration20. Aspects of integral calculus21. Probability22. Expectation23. Introduction to dynamics24. The circular functions25. Complex numbers26. Further dynamics27. Eigenvalues and eigenvectors28. Dynamic systems29. Dynamic optimisation in discrete time30. Dynamic optimisation in continuous time31. Introduction to analysis32. Metric spaces and existence theoremsNotes on further readingIndex

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Book SynopsisThis ground-breaking and highly visual book presents a framework on how to relate to these times of technological uncertainties. The author, a serial entrepreneur, technology investor and futurist, argues that by combining curiosity, a bit of skepticism and understanding of current trends we can gain insight into and take advantage of the opportunities that come from new technologies. This handbook will give you a clear view of technology's impact beyond the hype and a complete toolbox on how to handle the upcoming revolution from a strategic perspective. You will delve into a step-by-step approach on how to analyze technologies, assess business implications and adapt to a new reality. Digitization is only the warmup, and ignorance is not a viable business strategy!

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Book SynopsisThis open access book constitutes the proceedings of the 20th International Conference on Agile Software Development, XP 2019, held in Montreal, QC, Canada, in May 2019. XP is the premier agile software development conference combining research and practice. It is a hybrid forum where agile researchers, academics, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. Following this history, for both researchers and seasoned practitioners XP 2019 provided an informal environment to network, share, and discover trends in Agile for the next 20 years The 15 full papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections named: agile adoption, agile practices; large-scale agile; agility beyond IT, and the future of agile. Trade Review Table of Contents

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Book SynopsisThis book brings together enterprise modeling and software specification, providing a conceptual background and methodological guidelines that concern the design of enterprise information systems. In this, two corresponding disciplines (enterprise engineering and software engineering) are considered in a complementary way. This is how the widely recognized gap between domain experts and software engineers could be effectively addressed. The content is, on the one hand, based on a conceptual invariance (embracing concepts whose essence transcends the barriers between social and technical disciplines) while on the other, the book is featuring a modeling duality, by bringing together social theories (that are underlying with regard to enterprise engineering) and computing paradigms (that are underlying as it concerns software engineering). In addition, the proposed approach as well as its guidelines and related notations further foster such enterprise-software modeling, by facilitating modeling generations and transformations. Considering unstructured business information in the beginning, the modeling process would progress through the methodological construction of enterprise models, to reach as far as a corresponding derivation of software specifications. Finally, the enterprise-software alignment is achieved in a component-based way, featuring a potential for re-using modeling constructs, such that the modeling effectiveness and efficiency are further stimulated. For the sake of grounding the presented studies, a case study and illustrative examples are considered. They are not only justifying the idea of bringing together (in a component-based way) enterprise modeling and software specification but they are also demonstrating various strengths and limitations of the proposed modeling approach.The book was mainly written for researchers and graduate students in enterprise information systems, and also for professionals whose work involves the specification and realization of such systems. In addition, researchers and practitioners entering these fields will benefit from the blended view on enterprise modeling and software specification, for the sake of an effective and efficient design of enterprise information systems.Table of Contents1 Introduction.- 2 Systems.- 3 System Environment and Context-Awareness.- 4 Social Theories.- 5 Computing Paradigms.- 6 The SDBC Approach.- 7 Case Study and Examples.

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Book SynopsisArtificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come. In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. In a series of best-practice cases, the book subsequently highlights a broad range of sectors and industries, from production to services; from customer service to marketing and sales; and in industries like retail, health care, energy, transportation and many more. In closing, a dedicated chapter outlines a roadmap for a specific corporate AI journey.No one can ignore intensive work with AI today - neither as a private person, let alone as a top performer in companies. This book offers a thorough, carefully crafted, and easy to understand entry into the field of AI. The central terms used in the AI ​​context are given a very good explanation. In addition, a number of cases show what AI can do today and where the journey is heading. An important book that you should not miss!Professor Dr. Harley KrohmerUniversity of Bern"Inspiring, thought provoking and comprehensive, this book is wittingly designed to be a catalyst for your individual and corporate AI journey.”Avo Schönbohm, Professor at the Berlin School of Economics and Law, Enterprise Game Designer at LUDEO and Business PunkTable of ContentsWhat is Artificial Intelligence and how to exploit it?.- Basics and drivers of Artificial Intelligence.- Fields of application of Artificial Intelligence – production area.- Fields of application of Artificial Intelligence – customer service, marketing and sales.- Fields of application of Artificial Intelligence – retail, service and maintenance sector.- Fields of application of Artificial Intelligence – health care, education and human resource management.- Fields of application of Artificial Intelligence – energy sector, smart home, mobility and transport.- Fields of application of Artificial Intelligence – financial services and creative sector.- Fields of application of Artificial Intelligence – security sector and military sector.- AI challenge – how Artificial Intelligence can be anchored in a company.- Outlook.

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Book SynopsisAn executive’s transition into any leadership role can be a challenge. Such transitions do not always go smoothly, and the negative consequences can be significant. This is particularly so for Chief Information Officers (CIOs), as the role has evolved significantly over the years yet remains deeply ambiguous. This is despite information and technology moving from the periphery of an organization to a fundamental driver of innovation and competitive advantage. This book is to help the newly appointed CIO “take charge”: the process of learning and taking action that the newly appointed CIO goes through until s/he has mastered the new assignment in sufficient depth to be effective in the role. This book provides keen insights into the challenges faced by today's CIOs while transitioning into a new role and enlightens readers on how to navigate the organizational environment in order to implement necessary changes. With plenty of practical tools and insights it will help you to: • Decide how best to approach the job • Prioritize the first areas of the business you should attend to • Draw up your goals for the first few weeks and months into the role • Find out if there are there any decisions that you can postpone making Based on over 200 interviews with CIOs, CxOs, and recruiters, this book offers readers guidance on how to take on the role of a business executive with special responsibility for information and technology, with ten key prescriptions to maximize success.Table of Contents1. The Ambiguity of the CIO Role2. No CIO Is an Island3. How New Leaders "Fit In"4. Setting the Stage for CIO Transitions5. Beyond the First 90 Days: Taking Charge6. The Phases of Taking Charge7. The Other Side of the Coin8. Peers, Relationships and Influence9. Taking Off: Guidance for CIOs10. Advice from CIOs to CIOs

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Book SynopsisThis book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios.

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Book SynopsisThis book explores the role that data analysis plays in the managerial decision-making process. The author presents the notion of "beyond analytics," which proposes that through data collection managers evaluate patterns in business processes through models of cognitive representation, framing and modeling, and knowledge creation in businesses. The book focuses on how the massive amounts of business data can be reduced to manageable volumes, thus allowing managers to make informed decisions. Further, it relates beyond analytics to HR aspects of the business and succession planning. This book will inform organizational behavioral theorists how the management of data impacts the decision-making process in organizations.Table of Contents Chapter 1: The Notion of Business Analytics Chapter 2: The Notion of Beyond Business Analytics: Examples of Business Applications Chapter 3: The Concept of Beyond Business Analytics Chapter 4: Representations of Organizational Events Chapter 5: Illustrative Cases in Human History Chapter 6: The Power of the Few Chapter 7: Beyond Business Analytics and the Pursuit of World Peace Chapter 8: Beyond Business Analytics: How good products made by good companies fail in the marketplace Chapter 9: Beyond Business Analytics: How Good public organizations fail in their mission Chapter 10: The Road Ahead

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Book SynopsisThis book presents the main theoretical foundations behind smart services as well as specific guidelines and practically proven methods on how to design them. Furthermore, it gives an overview of the possible implementation architectures and shows how the designed smart services can be realized with specific technologies. Finally, it provides four specific use cases that show how smart services have been realized in practice and what impact they have within the businesses.The first part of the book defines the basic concepts and aims to establish a shared understanding of terms, such as smart services, service systems, smart service systems or cyber-physical systems. On this basis, it provides an analysis of existing work and includes insights on how an organization incorporating smart services could enhance and adjust their management and business processes. The second part on the design of smart services elaborates on what constitutes a successful smart service and describes experiences in the area of interdisciplinary teams, strategic partnerships, the overall service systems and the common data basis. In the third part, technical reference architectures are presented in detail, encompassing topics on the design of digital twins in cyber physical systems, the communication between entities and sensors in the age of Industry 4.0 as well as data management and integration. The fourth part then highlights a number of analytical possibilities that can be realized and that can constitute or be part of smart services, including machine learning and artificial intelligence methods. Finally, the applicability of the introduced design and development method is demonstrated by considering specific real-world use cases. These include services in the industrial and mobility sector, which were developed in direct cooperation with industry partners.The main target audience of this book is industry-focused readers, especially practitioners from industry, who are involved in supporting and managing digital business. These include professionals working in business development, product management, strategy, and development, ranging from middle management to Chief Digital Officers. It conveys all the basics needed for developing smart services and successfully placing them on the market by explaining technical aspects as well as showcasing practical use cases.Table of ContentsPart I: Introduction to Smart Services.- Introduction to Smart Service Management.- Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems.- Industrial Maintenance in the Digital World.- Part II: Smart Service Design.- Introduction to Smart Service Design.- Smart Service Engineering.- Smart Service Prototyping.- Capturing the Value: How to Charge for Smart Services.- Market Launch of Smart Services.- Part III: Smart Service Architecture.- Introduction to Smart Service Architectures.- Reference Architecture Models for Smart Services.- Reference ArchitectureModels for Smart Service Networks.- Smart Services in the PhysicalWorld: Digital Twins.- Part IV: Smart Service Analytics.- Service Analytics: Putting the “Smart” in Smart Services.- Part V: Smart Service Use Cases.- Introduction to Smart Service Use Cases.- Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems.- Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses.- Developing Real-Time Smart Industrial Analytics for Industry 4.0 Applications.- How Transformational Management Enabled the Development of a Next Level Condition Monitoring Solution.

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Book SynopsisHow do you develop business in a world certain to be dominated by Internet of Things, Artificial Intelligence, and the Economy of Things?This book brings together leading scholars from academia, established practitioners, and thought-leading consultants who analyse and provide guidance to answer this question.Case studies, checklists, success factors, help readers get a grip on this fast-paced development. At the same time, the authors do not shy away from addressing the hurdles and barriers to implementation.This book provides an essential food-for-thought for leaders and managers, both visionary and pragmatic, who are faced with the responsibility of steering their business through these challenging, yet exciting, times.Table of ContentsPart I: Exploring the Networked Economy.- Connected Business: Creating Value in the Networked Economy.- Platform Economy: Converging IoT Platforms and Ecosystems.- Ecosystems: Unlocking the Potentials of Innovation Beyond Borders.- Digital Health Interventions.- Mobility: From Autonomous Driving Towards Mobility-as-a-Service.- Industry 4.0: Navigating Pathways Toward Smart Manufacturing and Services.- Decentralized Platform Ecosystems for Data and Digital Trust in Industrial Environments.- Sustainable AIoT: How Artificial Intelligence and the Internet of Things Affect Profit, People, and Planet.- Part II: Management Strategies for Connected Business.- Digital Transformer’s Dilemma: Innovate Twice to Survive.- Experimenting: What Makes a Good Business Experiment?.- Driving Connected Business Initiatives: Do’s and Dont’s.- AI for Decision-Making in Connected Business.- Cybersecurity: Balancing Efficiency with Long-Term Resilience in Connected Ecosystems.- Patent Strategies in the Networked Economy.- Part III: Case Studies on Connected Business.- Bosch IoT Suite: Exploiting the Potential of Smart Connected Products.- GF Machining Solutions: Real-Time Manufacturing Process in a Cloud Environment.- Linde: Business Value with Connected Cylinders in Hospitals.- ABB: Creating Value with Open Smart Home Automation Systems.- Covestro: Digital Technical Services as New Business Model for the Polymer Processing Industry.- BASF: Precision Farming with Lark Bread Initiative.- AgriCircle: Innovating Agricultural Ecosystems.- AGL Energy: Moving to the Connected and Orchestrated Customers.- EnBW SMIGHT: Addressing the Energy and Mobility Transition as Electricity Grid Operator.- Siemens: UK’s First Fully Converted Electric Avenue “W9”.- Groupon: Managing a Rapidly Growing Platform with Scale-Up Metrics.- Marquard Media: 4Player’s Learning DNA to Survive Disruptions.- Vontobel: Rethinking Wealth Management.- Cambridge Analytica: Magical Rise, Disastrous Fall.

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Book SynopsisInnovations and developments in technology have laid the foundations for an economy based on digital goods and services—the digital economy. This book invites students and practitioners, to take an in-depth look at the impact that technological innovations such as social media, cryptocurrencies, crowdsourcing, and even online gaming is having on today’s business landscape. Learn about the various business models available for the digital economy, including the business models used by Bitcoin, Spotify, Wikipedia, World of Warcraft, Facebook, and Airbnb. This book details the evolution of contemporary economics within the digital stratosphere and highlights the complex ecosystem that makes up the field of digital economics. The foundational text with case studies is also peppered with anecdotes on the various technological innovations which have shaped markets throughout history. The authors provide several models and tools that are essential for analysis, as well as activities that will allow the reader to reflect, analyze, and apply the knowledge and tools presented in each chapter. Introduction to Digital Economics is a definitive guide to the complexities and nuances of this burgeoning and fascinating field of study.Table of ContentsThe Digital Economy.- Information and Communication Technologies.- Convergence of Technologies and Services.- Digital Economy Ecosystem.- Digital Market Evolution.- Digital Goods and Services.- Production Models.- Value Creation Models and Competitive Strategy.- Network Effects.- Multisided Platforms.- Path Dependence.- Lock-in and Switching Costs.- Digital Monopolies and Oligopolies.- Mergers and Acquisitions.- Standards.- The Long Tail.- Digital Markets.- Digital Market Modeling.- Digital Business Models.- Big Data Economics.- Net Neutrality.- Digital Regulation.

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Book SynopsisThis open access book is an outcome of several years of research, practice, and teaching experience of the authors on the challenges that underpin the successful switch to services for manufacturing firms. Ideal for a student as well as a practitioner, the book describes the industrial services ecosystem, the barriers and challenges, and a roadmap for building service excellence. Curated cases are used to describe the current approaches in practice to overcome the barriers. The book also provides several tools, each with a short introduction, that the authors have used successfully in projects to help overcome the servitization barriers. Many of these tools are from management, design thinking, or service design. The service excellence roadmap is based on the development methodology and helps current and future business leaders to create their own individual roadmaps.Table of Contents1. Understanding the Barriers That Slow Firms Shifting from Products to Services.- 2. Overcoming the Barriers to Service Excellence.- 3. Methods and Tools for Overcoming the Barriers to Servitization and Service Excellence.

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Book SynopsisThis book provides a method to plan, develop, validate, or evolve the design of an enterprise architecture function so that it fully meets the organization’s needs. The reader will benefit from this book in two ways. First, it provides a structured overview and orientation to the subject of architecture from an architecture function perspective. Second, it guides through the process of planning, building, and operating your own architecture organization based on a generic architecture function blueprint presented in the form of a pattern language offering a structured means for navigating, contextualizing, combining, and composing the architecture function patterns. The book is structured in six chapters. Chapter 1 “Introduction” explains the starting position and objectives of the book and introduces key concepts that will be explained further in subsequent chapters. Chapter 2 “Architecture Function Pattern Language” introduces the concepts of pattern, pattern catalogue, pattern topology, and ontology and explains how these concepts are combined to form a pattern language for planning, designing, and operating an architecture function. Next, Chapter 3 “Architecture Function – Context“ introduces concepts that are crucial for understanding the challenges that an architecture function faces and presents a generic schema for the business organizations and value chain. Chapter 4 “Architecture Function – Challenge” looks at an architecture function from a black box perspective and outlines the expectations and requirements that companies place on architecture organizations. It discusses the building blocks of an architecture function, the services it provides along the enterprise value chain, and the quality attributes that enterprises expect from their functions. Chapter 5 “Architecture Function – Constitution” then shifts from a black-box perspective to a white-box perspective and outlines the generic design of an architecture function in order to realize functional and quality-related requirements. Chapter 6 “Pattern Catalogue“ eventually introduces the pattern catalogue with a total of 48 architecture function patterns. These patterns suggest designs for collaboration between the architecture function and enterprise organizations, for the elaboration and development of enterprise services along the enterprise value chain, or for aligning architecture governance with enterprise governance. The book is intended for a broad readership, including enterprise, domain, and solution architects, lecturers and students, and anyone else interested in understanding the value proposition, responsibilities, outcomes, methods, and practices of architecture functions. It introduces the basic concepts and theories needed to understand the pattern language presented and the patterns it summarizes. Table of Contents1. Introduction.- 2. Architecture Function Pattern Language.- 3. Architecture Function: Context.- 4. Architecture Function: Challenge.- 5. Architecture Function: Constitution.- 6. Pattern Catalog.

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Book SynopsisThis book constitutes the proceedings of the Blockchain and RPA Forum, held as part of the 19th International Conference on Business Process Management, BPM 2021, which took place during September 6-10, 2021, in Rome, Italy.The Blockchain Forum and the RPA Forum have in common that they are centered around an emerging and exciting technology. The blockchain is a sophisticated distributed ledger technology, while RPA software allows for mimicking human, repetitive actions. Each of these have the potential to fundamentally change how business processes are being orchestrated and executed in practice. The 8 papers presented in this volume were carefully reviewed and selected from a total of 14 submissions. Table of ContentsRobotic Process Automation Forum.- Humans, Processes and Robots: a journey to Hyperautomation.- A Framework of Cost Drivers for Robotic Process Automation Projects.- Adding Decision Management to Robotic Process Automation.- AIRPA: An architecture to support the execution and maintenance of AI-powered RPA robots.- Blockchain Forum.- An empirical evaluation of smart contract-based data quality assessment in Ethereum.- Blockchain as a Countermeasure Solution for Security Threats of Healthcare Applications.- Studying Bitcoin privacy attacks and their Impact on Bitcoin-based Identity Methods.- Enhancing Blockchain-based Processes with Decentralized Oracles.- Methods for Decentralized Identities: Evaluation and Insights.

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Book SynopsisThis textbook provides solid guidance on how to produce information models in practice. Information modeling has become increasingly relevant as an approach for understanding the active role that data plays within business and management and promoting the planning of business activities. The text promotes a practical approach to information modelling based around the analysis of communicative practice within delimited domains of organization. The book chapters are designed to be read in sequence. The early chapters build an account of information modelling from the bedrock of a theory of information situations. Later chapters discuss a number of practical issues concerned with the application of this business analysis and design technique. The conclusion demonstrates a larger context for the application and importance of information modelling. Numerous in-text examples of the concepts of information modelling and their application are included throughout the text. A separate chapter is devoted to a range of exercises which the reader can use to test understanding and application of the technique. An appendix with solutions is also provided to support learning. Overall, this textbook provides a step-by-step introduction to information modelling for use in undergraduate and postgraduate modules in information systems, computer science and even digitally focused modules within business and management. No prerequisite knowledge is assumed on the part of the reader. Students and practitioners are tutored in the development of information modelling from first principles. The book covers all the core principles of both entity-relationship diagramming and class diagramming – the two major approaches to information modelling.Table of Contents1. Introduction.- 2. What Is Information?.- 3. Why Model Information?.- 4. Information Modelling From First Principles.- 5. Visualising an Information M.- 6. Composing an Information Model.- 7. Practical Issues in Information Modelling.- 8. Information Modelling and Data Systems.- 9. Information Modelling in Context.- 10. Exercises.

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Book SynopsisThis book constitutes the proceedings of the 15th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2022, which took place in London, UK, during November 23-25, 2022. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Enterprise Modeling and Model-based Development and Engineering. The 15 full papers presented in this volume were carefully reviewed and selected from a total of 45 submissions. They were organized in topical sections as follows: models in information system development; modeling enterprise architectures; modeling capabilities and ecosystems; DSML and meta-modeling; and participatory modeling.Table of ContentsModels in Information System Development.- Investigating the effectiveness of model-based testing on testing skill acquisition.- Generating Low-Code Applications from Enterprise Ontology.- Supporting the Individuation, Analysis and Gamification of Software Components for Acceptance Requirements Fulfilment.- Modeling Enterprise Architectures.- Historization of Enterprise Architecture Models Via Enterprise Architecture Knowledge Graphs.- Towards Ontology-based Validation of Enterprise Architecture Principles.- Ontological Analysis and Redesign of Security Modeling in ArchiMate.- Modeling Capabilities and Ecosystems.- Foundations of capability maps – a conceptual comparison.- Applying and Evaluating the KYKLOS Method.- Using Tangible Modeling to Create an e3value Conceptual Model for Digital Ecosystems.- DSML and Meta-Modeling.- Dynamic Models - the MetaMorph Formalism and Model-Operations.- Establishing Interoperability between the EMF and the MSDKVS Metamodeling Platforms.- Beyond Business Development: Regulatory Assessment of Electricity Sector Projects with Contextual Requirements Engineering.- Participatory Modeling.- A Methodology for DSML-assisted Participatory Agent-Based Enterprise Modelling.- Advantages and Limitations of Experiments for Researching Participatory Enterprise Modeling and Recommendations For Their Implementation.- Designing an Ontology for Human Rights Violations Documentation through Practitioner Input and Information Infrastructure Theory.

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Book SynopsisThis book constitutes revised selected papers from the international workshops, the EDOC Forum and the Demonstration and Doctoral Consortium track, that were held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022. The conference took place in Bozen-Bolzano, Italy, during October 3–7, 2022.The conference focuses on the area of enterprise computing, this year with the special emphasis on the theme of designing and operating “Flexible Enterprises”. Workshops within EDOC cover more focused topics and allow for the presentation and discussion of work that is in the earlier development stages. The 18 full and 8 short papers included in this volume were carefully reviewed and selected from 82 submissions. They stem from the following satellite events: – Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) – 14th Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE) – 17th Workshop on Trends in Enterprise Architecture Research (TEAR) – EDOC Forum – Demonstrations Track – Doctoral Consortium Table of ContentsIDAMS 2022.- Digital Architectures Under Society 5.0: An Enterprise Architecture Perspective.- Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights.- Digital Technologies Supporting Digitalization: A Maturity Model to Manage their Usage Risks.- DTMN a Modelling Notation for Digital Twins.- Adaptive Management of Cyber-Physical Workflows by Means of Case-Based Reasoning and Automated Planning.- An Optimization Ontology for Goal Modelling Frameworks.- SOEA4EE 2022.-Visual Description of Digital IT Consulting Services using DITCOS-DN: Proposal and Evaluation of a Graphical Editor.- Implementing a service-oriented rural smartness platform: lessons learned from a technical action research in West Java, Indonesia.- TEAR 2022.- Areas where Enterprise Architecture Contributes to Organizational Goals - A Quantitative Study in the Netherlands.- Achieving Alignment by Means of EA Artifacts.- Contextuality and Temporality of Enterprise Architecture Problems: A Comparative Case Study.- Zooming in on Competences in Ontology-Based Enterprise Architecture Modeling.- A Knowledge-Graph Based Integrated Digital EA Maturity and Performance Framework.- Workplace Topology Model for Assessment of Static and Dynamic Interactions Among Employees.- EDOC Forum.- Optimized Throttling for OAuth-based Authorization Servers.- A Concept and a Multitenant Web Application for Interactive Software Architecture Analysis.- An ontology for software patterns: application to blockchain-based software development.- Learning-aided Adaptation - A Case Study from Wellness Ecosystem.- Demonstrations Track.- The Deployment Model Abstraction Framework.- Dromi: A Tool for Automatically Reporting the Impacts of Sagas implemented in Microservice Architectures on the Business Processes.- Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit.- Interactive Design of Time-Aware Business Processes.- Prosimos: Discovering and Simulating Business Processes With Differentiated Resources.- Doctoral Consortium.- Data analytics and machine learning for smart decision making in automotive sector.- To model or not to model? Assessing the value of ontology-driven conceptual modeling.- A Proposal for Intent-based Configuration of ICT Components.

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Book SynopsisThis textbook mainly addresses beginners and readers with a basic knowledge of object-oriented programming languages like Java or C#, but with little or no modeling or software engineering experience – thus reflecting the majority of students in introductory courses at universities. Using UML, it introduces basic modeling concepts in a highly precise manner, while refraining from the interpretation of rare special cases. After a brief explanation of why modeling is an indispensable part of software development, the authors introduce the individual diagram types of UML (the class and object diagram, the sequence diagram, the state machine diagram, the activity diagram, and the use case diagram), as well as their interrelationships, in a step-by-step manner. The topics covered include not only the syntax and the semantics of the individual language elements, but also pragmatic aspects, i.e., how to use them wisely at various stages in the software development process. To this end, the work is complemented with examples that were carefully selected for their educational and illustrative value.Overall, the book provides a solid foundation and deeper understanding of the most important object-oriented modeling concepts and their application in software development. An additional website offers a complete set of slides to aid in teaching the contents of the book, exercises and further e-learning material. Table of Contents1 Introduction.- 2 A Short Tour of UML.- 3 The Use Case Diagram.- 4 The Class Diagram.- 5 The State Machine Diagram.- 6 The Sequence Diagram.- 7 The Activity Diagram.- 8 All Together Now.- 9 Further Topics.

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Book SynopsisThis illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.Trade Review“This title presents recent research and future trends in the area of big data. … It will be of value to students and researchers looking for research topics and to data scientists exploring ongoing work in the field of big data. Summing Up: Recommended. Graduate students; faculty and professionals.” (C. Tappert, Choice, Vol. 54 (7), March, 2017)Table of ContentsPart I: Data Science Applications and Scenarios An Interoperability Framework and Distributed Platform for Fast Data ApplicationsJosé Carlos Martins Delgado Complex Event Processing Framework for Big Data ApplicationsRenta Chintala Bhargavi Agglomerative Approaches for Partitioning of Networks in Big Data ScenariosAnupam Biswas, Gourav Arora, Gaurav Tiwari, Srijan Khare, Vyankatesh Agrawal and Bhaskar Biswas Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data PerspectiveYing Xie, Jing (Selena) He and Vijay V. Raghavan Part II: Big Data Modelling and Frameworks A Unified Approach to Data Modelling and Management in Big Data EraCatalin Negru, Florin Pop, Mariana Mocanu and Valentin Cristea Interfacing Physical and Cyber Worlds: A Big Data PerspectiveZartasha Baloch, Faisal Karim Shaikh and Mukhtiar A. Unar Distributed Platforms and Cloud Services: Enabling Machine Learning for Big DataDaniel Pop, Gabriel Iuhasz and Dana Petcu An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data RepositoriesAnjaneyulu Pasala, Sarbendu Guha, Gopichand Agnihotram, Satya Prateek B and Srinivas Padmanabhuni Part III: Big Data Tools and Analytics Large Scale Data Analytics Tools: Apache Hive, Pig and HBaseN. Maheswari and M. Sivagami Big Data Analytics: Enabling Technologies and ToolsMohanavadivu Periasamy and Pethuru Raj A Framework for Data Mining and Knowledge Discovery in Cloud ComputingDerya Birant and Pelin Yıldırım Feature Selection for Adaptive Decision Making in Big Data AnalyticsJaya Sil and Asit Kumar Das Social Impact and Social Media Analysis Relating to Big DataNirmala Dorasamy and Nataša Pomazalová

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Book SynopsisThis is a multidisciplinary textbook on social commerce by leading authors of e-commerce and e-marketing textbooks, with contributions by several industry experts. It is effectively the first true textbook on this topic and can be used in one of the following ways: Textbook for a standalone elective course at the undergraduate or graduate levels (including MBA and executive MBA programs) Supplementary text in marketing, management or Information Systems disciplines Training courses in industry Support resources for researchers and practitioners in the fields of marketing, management and information management The book examines the latest trends in e-commerce, including social businesses, social networking, social collaboration, innovations and mobility. Individual chapters cover tools and platforms for social commerce; supporting theories and concepts; marketing communications; customer engagement and metrics; social shopping; social customer service and CRM contents; the social enterprise; innovative applications; strategy and performance management; and implementing social commerce systems. Each chapter also includes a real-world example as an opening case; application cases and examples; exhibits; a chapter summary; review questions and end-of-chapter exercises. The book also includes a glossary and key terms, as well as supplementary materials that include PowerPoint lecture notes, an Instructor’s Manual, a test bank and five online tutorials.Table of ContentsIntroduction to Social Commerce.- Tools and Platforms for Social Commerce.- Supporting Theories and Concepts for Social Commerce.- Marketing Communications in Social Media.- Customer Engagement and Metrics.- Social Shopping: Concepts, Benefits, and Models.- Social Customer Service and CRM Contents.- The Social Enterprise: From Recruiting to problem Solving and Collaboration.- Innovative Social Commerce Applications: From Social Government to Entertainment and Gaming.- Strategy and Performance Management in Social Commerce.- Implementing Social Commerce Systems.

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Book SynopsisThis book focuses on the implementation of digital strategies in the public sectors in the US, Mexico, Brazil, India and Germany. The case studies presented examine different digital projects by looking at their impact as well as their alignment with their national governments’ digital strategies. The contributors assess the current state of digital government, analyze the contribution of digital technologies in achieving outcomes for citizens, discuss ways to measure digitalization and address the question of how governments oversee the legal and regulatory obligations of information technology. The book argues that most countries formulate good strategies for digital government, but do not effectively prescribe and implement corresponding policies and programs. Showing specific programs that deliver results can help policy makers, knowledge specialists and public-sector researchers to develop best practices for future national strategies.Trade Review“The book provide a useful resource for government policy makers and public sector researchers to develop best practices for evolving national strategies. … The book may also be useful for graduate students pursuing a course on e-governance in their public policy or public sector management programs; it provides a concise reference resource for taking up further research.” (C.S. Arora, Computing Reviews, April, 2018)​Table of ContentsTheory and Foundations of Digital Government: The Promise of Digital Government.- Measuring Digital Government: How to Assess and Compare Digitalisation in Public Sector Organisations.- Technology for Good: Innovative Uses of Emerging Technologies to Address Social Challenges.- Regulation of Digital Government.- Country Studies: Mexico: Single Window for Foreign Trade.- USA: Broadband Access and Adoption in New York State.- Brazil: Transparency Portal of the Federal Government.- India: Unique Identification Authority.- Germany: The Path to Open Data Leadership.

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Book SynopsisThis book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap.Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.Table of ContentsChapter 1: Aligning Business Strategies and Analytics: Bridging Between Theory and Practice.- Chapter 2: Cognitive Computing: Impacts on Financial Advice in Wealth Management.- Chapter 3: Living or Dying in the Mashup of American Financial Services: Literate Does Not Mean Competent.- Chapter 4: Improving Fleet Management Strategy and Operational Intelligence with Predictive Analytics.- Chapter 5: Aligning Data Analytics and Supply Chain Strategy in the Biopharmaceutical Industry.- Chapter 6: Importance of Project Management in Business Analytics: Academia and Real-world.- Chapter 7: A Review and Future Direction of Business Analytics Project Delivery.- Chapter 8: Aligning Operational Benefits of Big Data Analytics and Organizational Culture at WellSpan Health.- Chapter 9: HR Analytics: Human Capital Return on Investment, Productivity and Profit Sensitivity: A Case of Courtyard Marriott Newark at the University of Delaware.- Chapter 10: Delivering Internal Business Intelligence Services: How Different Strategies Allow Companies to Succeed by Failing Fast.- Chapter 11: Aligning Analytics with Marketing Strategy: Using Analytics to Drive Marketing Strategy with New Media Applications.- Chapter 12: Aligning Data Analytics and Strategy in the Chemical industry.

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Book SynopsisThis book examines the massive changes currently taking place in the business world and commonly known under the label “digitalization.” In addition, it describes the significant impacts of technological innovations on processes, products, services and business models. The digital transformation resulting from these developments leads to disruption for many enterprises and industries. While for many years, IT departments mainly concentrated on fulfilling the requirements of business departments effectively and efficiently by means of high-quality IT services and operations, today’s IT departments are increasingly expected to actively co-design and co-create the enterprise. This book describes how information technology enables innovation for businesses, and how IT departments can proactively and in a timely manner collaborate with the business departments of their corporation to leverage these innovations. It also delineates the implications of digitalization for the structures, processes and people in today’s IT departments. IT leaders and managers who are responsible for corporate IT, as well as practice-oriented researchers, will find valuable inspirations and guidance in this book, the central mission of which is to encourage and enable a more proactive role for IT in the digital transformation processes."This book demonstrates the impact of digital transformation on IT organizations and their management. It also presents potential risks for technology availability, security and data protection. The authors develop a vision of what IT management should look like in ten years if it is to continue playing an important role in the company. The book seeks to motivate IT executives and managers with IT responsibility to actively adapt their thinking and their IT organizations before they are forced to react to external pressure. Definitely worth reading!" Sven Kreimendahl, Director Business Technology Services, Campana & SchottTable of Contents

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Book SynopsisLeitfaden zur effektiven Einführung und Nutzung eines Risikomanagementsystems: Umfassend führen die Autoren in die Thematik ein und sprechen dabei alle Mitarbeiter und ihre Rollen an – vom Management bis hin zur Entwicklung. Ihre Kombination von Grundlagenwissen, Anwendungsleitfaden und Risikokatalog ermöglicht den praktischen und regelmäßigen Einsatz in Softwareentwicklungsprojekten beliebiger Größe. Projektmanager und Programmierer erhalten hier eine gemeinsame Wissensgrundlage und optimierte Ansätze. Der Risikokatalog eignet sich ideal zum Nachschlagen. Sämtliche Risiken sind systematisch und übersichtlich in Tabellenform aufgelistet. Trade ReviewAus den Rezensionen: "… In dem vorliegenden Buch beschränken die Autoren das Thema IT-Risikomanagement auf einen dedizierten Teilaspekt, nämlich die Softwareentwicklung. … Im dritten Kapitel stellen die Autoren ihre ‘10 Thesen‘ für ein erfolgreiches Risikomanagement vor. Hier steht insbesondere der Faktor Mensch im Vordergrund. … Im siebten Kapitel haben die Autoren ein umfangreiches Risikolexikon zusammengestellt. Das Lexikon ist eine gute Referenz für die Umsetzung im eigenen Unternehmen. … Das Buch bietet dem Praktiker in der Softwareentwicklung eine solide und praxisorientierte Grundlage für die erfolgreiche Umsetzung von Projekten …" (Frank Romeike, in: Risiko Manager, 6. Februar 2008, S. 11) "… Das Buch stellt Erfolgsfaktoren für die wirkungsvolle Anwendung und Einführung eines Risiko-Managements in Softwareentwicklungsprojekten vor. Dabei greift es auf Praxiserfahrungen und wissenschaftliche Erkenntnisse gleichermaßen zurück. Das Hauptgewicht liegt ... auf dem praktischen Einsatz. Zudem enthält das Buch ein umfangreiches Risikolexikon mit einer Maßnahmensammlung für mehr als 70 verbreitete Risiken in Softwareprojekten …" (in: Computerwoche, 2008, Issue 46, S. 34 f.)Table of ContentsEinführung in das Risikomanagement.- Prinzipien wirkungsvollen Risikomanagements.- Ein Risikomanagementsystem nach Art des Hauses.- Integration des Risikomanagements in Vorgehensmodelle der Softwareentwicklung.- Risiken beschreiben und das Risikolexikon einsetzen.- Risikolexikon.

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Book SynopsisHumanexpertsarenotsystemsofrules,theyarelibrariesofexperiences. Riesbeck and Schank (1989, p.15) Broadlyspeaking,case-basedreasoning(CBR)is concernedwith solvingnew problems by adapting solutions that worked for similar problems in the past. As with Arti cial Intelligence in general, case-based reasoning deals with two di erent aspects of intelligence: A r st motivation is to establish cog- tive models in order to understand human thinking and behavior. A second motivationis to buildsystemswhichhelpto solvereal-worldproblems.These twofacetscanbeconsideredastwosidesofthesamecoin.Traditionally,CBR researchinEuropehasconcentratedverymuchonthesecondaspect,though, of course, successful projects are not possible without a sound theory. The objective of this book is to summarize the results of recent years of research in CBR. A strong emphasis is put on projects performed and - plications developed in Germany. However, research has not been performed in isolation. Rather, a large number of cooperations between research sites throughout the world have been established which provided a fertile ground for the community. Hence, it is only natural that work from colleagues from France, Ireland, the Netherlands, and the United States has been included in this volume. This book is not intended to be a textbook giving a comprehensive overview of the eld. Rather, the objective is to consider in detail di - ent potential application areas, to work out the pros and cons of using CBR and to summarize the lessons learned from projects. For this, we assume that the reader already has at least a basic understanding of what case-based reasoning is all about.Table of ContentsExtending some Concepts of CBR — Foundations of Case Retrieval Nets.- Diagnosis and Decision Support.- Intelligent Sales Support with CBR.- Textual CBR.- Using Configuration Techniques for Adaptation.- CBR Applied to Planning.- CBR for Design.- CBR for Experimental Software Engineering.- CBR for Tutoring and Help Systems.- CBR in Medicine.- Methodology for Building CBR Applications.- Related Areas.

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Book SynopsisThis book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided.The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.Trade Review“The usage of examples and case studies enable real life application and brings asophisticated text to life. … the book is a comprehensive and thoroughly well thought out introduction to the subject of business intelligence and the reader will not be left wanting as the clear examples are numerous. … Readers interested in the value of data and the concepts behind business intelligence will find the book and its accompanying website highly informative.” (Georgette Banham, bcs, The Chartered Institute for IT, bcs.org, August, 2016)“This book focuses primarily on the data mining, data warehousing, data analytics, data visualization, data presentation, and process analysis dimensions of BI in detail. … One of the noteworthy strengths of this book is the inclusion of comprehensive lists with very recent and relevant references for BI at the end of each chapter. This should make the book very useful for academic research on the topic.” (Satya Prakash Saraswat, Computing Reviews, February, 2016)Table of Contents1 Introduction.- 2 Modeling in Business Intelligence.- 3 Data Provisioning.- 4 Data Description and Visualization.- 5 Data Mining for Cross-Sectional Data.- 6 Data Mining for Temporal Data.- 7 Process Analysis.- 8 Analysis of Multiple Business Perspectives.- 9 Summary.- A Survey on Business Intelligence Tools.

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