Business mathematics and systems Books

Book SynopsisThis is an examination of the applications of Bayesian statistical theory to real-life business problems of decision under conditions of uncertainty.Table of ContentsEXPERIMENTATION AND DECISION: GENERAL THEORY. The Problem and the Two Basic Modes of Analysis. Sufficient Statistics and Noninformative Stopping. Conjugate Prior Distributions. EXTENSIVE-FORM ANALYSIS WHEN SAMPLING AND TERMINAL UTILITIES ARE ADDITIVE. Additive Utility, Opportunity Loss, and the Value of Information: Introduction to Part II. Linear Terminal Analysis. Selection of the Best of Several Processes. Problems in Which the Act and State Spaces Coincide. DISTRIBUTION THEORY. Univariate Normalized Mass and Density Functions. Multivariate Normalized Density Functions. Bernoulli Process. Poisson Process. Independent Normal Process. Independent Multinormal Process. Normal Regression Process.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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 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 SynopsisBrian Wilson was a founding member of the Systems Department at Lancaster University in 1966, where he participated with Professor Peter Checkland in the 'Action Research' of the Department, which led to the emergence of Soft Systems Methodology. The Action Research programme involved working with over 300 organisations in which teams of staff and students effectively acted as consultants to those organisations. Thus for this period and later, when running his own consultancy company, Brian has been involved in the application and development of SSM-related ideas within the real world. Kees van Haperen is a consultant specialising in the effective implementation within organisations of Soft Systems Methodology. He is currently a visiting lecturer at Loughborough University, UK. He has published a number of papers and book contributions in the fields of crisis management, risk management, organisational learning, requirements management and systems thinking.Trade Review'This book is bang up to date with diverse and challenging case material from financial crisis to military threats - no other current book rivals its rich content and insights into analysis and problem solving. The process of SSM is strikingly detailed. It is an excellent source for teaching for both postgraduates and undergraduates and for practitioner reference. I will use this book in my University teaching, my research and my international consultancy.' - Mike Walsh, Stirling University Management School, UK 'This book is an important addition to the literature on soft systems methodology from one of the originators of the approach. It is of particular value to practitioners, containing numerous examples of well-formulated root definitions and complex conceptual models and their use in a variety of live consultancy projects.' - Mike Jackson, University of Hull, UK 'Wilson and van Haperen offer a comprehensive treatment of the ideas underpinning Soft Systems Thinking. Their work clarifies the actual practice of Soft System Methodology for those seeking to manage complexity in the real world. This book is a rare achievement that I suspect will become a classic for students, academics and practitioners alike.' - Alberto Franco, Loughborough University, UKTable of ContentsPART I: SSM FUNDAMENTALS 1. Introduction 2. Organisational Analysis 3. An Overview of Soft Systems Methodology 4. Features of Soft Systems Methodology PART II: Advanced Concepts 5. A Publishing System 6. A Policing System 7. A Healthcare System 8. An Employment Agency 9. Defence Systems 10. A Centre of Excellence 11. A Government System 12. Other Government Depertments 13. A Charity 14. Generic Reference Models 15. Information Assurance 16. Summary PART III: CASE STUDIES 17. General Considerations 18. Aiding Good Practice 19. Systems Thinking and Macro Issues 20. The Judiciary 21. Healthcare 22. Policing 23. Defence 24. Conclusions.

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Book SynopsisHandbook of Cloud Computing includes contributions from world experts in the field of cloud computing from academia, research laboratories and private industry. The basic concepts of cloud computing and cloud computing applications are also introduced.Trade ReviewFrom the reviews:“Cloud computing affects all areas where computers and mobile clients are used, including industry, government, and science. This book offers a multitude of examples of this new way of handling data and computer resources--from basic research in the life sciences and physics to enterprise-level applications in industry. … handbook is highly relevant and provides the reader with good information about the fundamentals of all aspects of cloud computing. After reading the book, readers will understand how much is already being done in the cloud.” (Aake Edlund, ACM Computing Reviews, May, 2011) Table of ContentsTechnologies and Systems.- Cloud Computing Fundamentals.- Cloud Computing Technologies and Applications.- Key Enabling Technologies for Virtual Private Clouds.- The Role of Networks in Cloud Computing.- Data-Intensive Technologies for Cloud Computing.- Survey of Storage and Fault Tolerance Strategies Used in Cloud Computing.- Scheduling Service Oriented Workflows Inside Clouds Using an Adaptive Agent Based Approach.- The Role of Grid Computing Technologies in Cloud Computing.- Cloudweaver: Adaptive and Data-Driven Workload Manager for Generic Clouds.- Architectures.- Enterprise Knowledge Clouds: Architecture and Technologies.- Integration of High-Performance Computing into Cloud Computing Services.- Vertical Load Distribution for Cloud Computing via Multiple Implementation Options.- SwinDeW-C: A Peer-to-Peer Based Cloud Workflow System.- Services.- Cloud Types and Services.- Service Scalability Over the Cloud.- Scientific Services on the Cloud.- A Novel Market-Oriented Dynamic Collaborative Cloud Service Platform.- Applications.- Enterprise Knowledge Clouds: Applications and Solutions.- Open Science in the Cloud: Towards a Universal Platform for Scientific and Statistical Computing.- Multidimensional Environmental Data Resource Brokering on Computational Grids and Scientific Clouds.- HPC on Competitive Cloud Resources.- Scientific Data Management in the Cloud: A Survey of Technologies, Approaches and Challenges.- Feasibility Study and Experience on Using Cloud Infrastructure and Platform for Scientific Computing.- A Cloud Computing Based Patient Centric Medical Information System.- Cloud@Home: A New Enhanced Computing Paradigm.- Using Hybrid Grid/Cloud Computing Technologies for Environmental Data Elastic Storage, Processing, and Provisioning.

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Book SynopsisEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson. Afterword.- IndexTable of ContentsEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson. Afterword.- Index

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Book SynopsisCultural forces govern a synergistic relationship among information institutions that shapes their roles collectively and individually. The book addresses the origins of cultural information institutions, the history of the professions that run them, and the social imperative of information organization as a catalyst for semantic synergy.Table of ContentsChapter 1. Cultural Synergy and the Role of Information Institutions.- Chapter 2. The Nature of Information.- Chapter 3. What is (are) Information Studies?.- Chapter 4. The Synergistic Information Professions: Applications of the Information Process.- Chapter 5. Some History of Libraries, Library and Information Science, Information Technology.- Chapter 6. Gatekeepers: Information Dissemination.- Chapter 7. Knowledge Organization: Bibliography as Synergic Catalyst.- Chapter 8. Into the Future Boldly: The Imperative for Cultural Synergy.

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Book SynopsisContinuous improvements in digitized practices have created opportunities for businesses to develop more streamlined processes. This not only leads to higher success in day-to-day production, but it increases the overall success of businesses.Enterprise Information Systems and the Digitalization of Business Functions is a key resource on the latest advances and research for a digital agenda in the business world. Highlighting multidisciplinary studies on data modeling, information systems, and customer relationship management, this publication is an ideal reference source for professionals, researchers, managers, consultants, and university students interested in emerging developments for business process management.

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Book SynopsisBusiness Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.Table of ContentsChapter One: Introduction to Statistical Analysis 1.1 Scale of measurement 1.2 Data, data collection and presentation 1.3 Data grouping 1.4 Methods of visualizing data 1.5 Introduction to R software Chapter Two: Descriptive Data Chapter One: Introduction to Statistical Analysis Scale of measurement Data, data collection and presentation Data grouping Methods of visualizing data Introduction to R software Chapter Two: Descriptive Data 2.1. Measure of Central tendency 2.2. Measure of Dispersion 2.3. Shapes of the distribution—symmetric and asymmetric 2.4. Summary statistics of data using R Chapter Three: Basic Probability Concepts 3.1. Experiment and sample space 3.2. Elementary events 3.3 Venn diagram and probability matrices for two sets probability problems. 3.4 Addition rule of probability 3.5 Independent events and dependent events. 3.6 Multiplication rule of probability 3.7 Conditional probabilities 　 Chapter Four: Discrete Probability Distributions 4.1. Expected value and variance of a discrete random variable 4.2. Binomial probability distribution 4.3. Expected value and variance of a binomial distribution 4.4. Solve problems involving binomial distribution using R Chapter Five: Continuous Probability Distribution 5.1. Normal distribution and standardized normal distribution 5.2. Normal curve 5.3. Approximate normal to the binomial distribution 5.4. Use of the normal distribution in business problem solving using R Chapter Six: Sampling and Sampling Distribution 6.1. Probability and non-probability sampling 6.2. Sampling techniques- simple random, systematic, stratified, and cluster samples 6.3. Sampling distribution of the mean 6.4. Central limit theorem and its significance Chapter Seven: Confidence Intervals for Single Population Mean and Proportion 7.1. Point estimates and interval estimates 7.2. Confidence intervals for mean and proportion 7.3. Confidence interval for proportion 7.4 Factors that determine margin of error 　 Chapter Eight: Hypothesis Testing for Single Population Mean and Proportion 8.1. Null and alternative hypotheses 8.2 Type I and Type II Error 8.3. Acceptance and Rejection regions 8.4. Hypothesis testing procedure Chapter Nine: Regression Analysis and Correlation 9.1. Construction of line fit plots 9.2. Types of regression analysis 9.2.1 Uses of regression analysis 9.2.2 Simple linear regression 9.2.3 Assumptions of simple linear regression 9.3. Multiple linear regression 9.3.1 Significance testing of each variable 9.3.2. Interpretation of regression coefficients and other output 9.4 Pearson correlation coefficient 9.4.1 Assumptions of correlation test 9.4.2 Types of correlation 9.4.3 Coefficient of determination 9.4.4 Test for the significance of correlation coefficient (r) Chapter Ten: Poisson Distribution 10.1. Poisson distribution and its properties 10.2. Mean and variance of a Poisson distribution 10.3. Application of Poisson distribution 10.4. Poisson to approximate the Binomial 　 Chapter Eleven: Uniform Distribution 11.1. Uniform distribution and its properties 11.2. Mean and variance of a uniform distribution 11.3. Application of uniform distribution Chapter Twelve: Statistical Process Control 12.1. Types of control chart 12.2 Uses of control chart 12.3 Procedure of control chart 12.4. Variable control charts 12.4.1. X-bar chart 12.4.1.1. Steps for constructing X-bar chart 12.4.2. Range chart 12.4.2.1. Steps for constructing R-chart 12.4.3. S-chart 12.4.4. NP chart 12.4.5. P chart 12.4.6. C chart 12.4.7. U chart 　 Chapter Thirteen: Time Series 13.1. Concept of Time series data 13.1.1 Uses and application of time series analysis 13.2 Univariate time series model 13.2.1 Generating a time-series object in R 13.2.2. Smoothing and seasonal decomposition 13.2.2.3. Exponential Forecasting Models 13.2.2.4. Holt and Holt-Winters exponential smoothing 13.2.2.5 The ets( ) function and automated forecasting 13.2.2.5. ARIMA forecasting models 13.3 Multivariate time series model 13.3.1. ARMA and ARIMA models 13.4 Recap 　 Chapter Fourteen: Multivariate Analysis 14.1. Properties of Multivariate Normal Distribution 14.2. Sampling from a Multivariate Normal Distribution and Maximum Likelihood Estimation 14.2.1. Multivariate Normal Distribution 14.2.2 Maximum Likelihood Estimation of Mean (μ) and Covariance matrix (Σ) 14.3 The Sampling Distribution X ̅ and 14.3.1 Wishart Distribution 14.3.2 Properties of the Wishart Distribution 14.3.3 Large Sample Properties of X ̅ and 14.4 Multivariate Normality 14.4.1 Q-Q Plot for Evaluating Multivariate Normality 14.4.1.1 Steps for Constructing Chi-squared plot 　 　 Chapter Fifteen: Inference About a Mean Vector 15.1 Test of Hypothesis [μ=μ_0] 15.2 Confidence Interval and Simultaneous Comparison of Component Means 15.2.1 Confidence Regions 15.2.2 Simultaneous Confidence Intervals 15.2.3 Bonferroni Method of Multiple Comparisons 15.2.3 Large Sample Inference about a Population Mean Vector 15.2.4 Multivariate Quality Control Charts 15.2.4.1 Univariate Case 15.2.4.1 Multivariate Case Chapter Sixteen: Inference About a Mean Vector 16.1 Paired Comparisons 16.2 Repeated Measurement Comparisons 16.3 Comparisons of Mean Vectors from Two Populations 16.4 Several Multivariate Population Means Comparison. 16.4.1 Univariate Analysis of Variance (ANOVA) 16.4.1.1 Assumptions of ANOVA 16.4.2 Multivariate Analysis of Variance (MANOVA) 16.4.2.1 Assumptions of MANOVA

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Book SynopsisSelected Readings on Information Technology Management: Contemporary Issues supplies students and lecturers with quality research articles focusing on a variety of contemporary issues related to topics in information technology management. Containing over 30 chapters from authors across the globe, these selected readings in areas such as information systems, knowledge management, and IT governance depict the most relevant and important areas of classroom discussion within the categories of fundamental concepts and theories; development and design methodologies; tools and technologies; application and utilization; critical issues; and emerging trends.

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Book SynopsisThe papers contained in this volume were originally presented at the 2015 International Conference on Complex Systems in Business, Administration, Science and Engineering. Included are the latest works of practitioners from a variety of disciplines who have developed new approaches for resolving complex issues that cannot be formulated using conventional, mathematical or software models.Complex Systems occur in an infinite variety of problems, not only in the realm of physical sciences and engineering, but also in such diverse fields as economics, the environment, humanities, and social and political sciences.The papers in the book cover such topics as: Complex ecological systems; Complexity science and urban developments; Complex energy systems; Complex issues in biological and medical sciences; Extreme events: natural and human made disasters; Climate change; Complexity of the internet-based global market; Complex business processes; Supply chain complexity; Transportation complexity; Logistics complexity; Closed and open systems; Attractions and chaotic systems; Complex adaptive software; Complexity of big data; Management of complexity; Global economy as a complex system; Complexity in social systems; Complex political systems; Administrations as complex systems; Complexity in engineering; Complexity and environment; Complexity and evolution; Complexity in linguistics, literature and arts.Table of ContentsContentsSection 1: FundamentalsNon-relativistic time, existence and adaptation; On computing the behavior of the mind from an eastern philosophical perspective; Complexity as the defining feature of the 21st century; Factors that facilitate organisational change in complex systems; Mutual shaping between technologies and law: memories of Norwegian e-health infrastructures; 'In' or 'as' space?: a model of complexity, with philosophical, simulatory, and empirical ramifications; Toward thermodynamics of real-time scheduling; Semantic shift to pragmatic meaning in shared decision making: situation theory perspective; Techniques for multifractal spectrum estimation in financial time seriesSection 2: Applications in business and industryAddressing supply-chain complexity using closed-loop simulation-based exercises; Price competition strategy of internet platforms; A novel dwelling time design method for low probability of intercept in a complex radar network; Systems analysis for energy systems using an integrated model of GIS and technology models; Analysing the Chinese stock market using the Hurst exponent, fractional Brownian motion and variants of a stochastic logistic differential equation; Effects of mobile application to the public transportation and future editing: Istanbul caseSection 3: Applications in various fieldsSupporting sensemaking to deal with organizational complexity; The relationship between employee health, quality culture and organizational effectiveness: findings from the literature; Systems engineering beliefs: contemplating personal perceptions regarding state of the art; Value-sensitive design for indigenous people of Oaxaca, Mexico; Influences in a biologically complex adaptive system: environmental stress affects dental development in a group of Romano-BritonsSection 4: Multi-agent applicationsA multi-agent solution for managing complexity in English to Sinhala machine translation; Using a multi-agent system for supply chain management; Design and development of an agent-based model for business operations faced with flood disruption; Using multi-agent technology for the distributed management of a cluster of remote sensing satellites; Multi-agent method to adaptive real-time train scheduling with conflict limitationsAuthor index

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Book SynopsisThis book, written by an interdisciplinary team of authors, explores the transformation of organizations in today’s volatile, uncertain, and ambiguous (VUCA) world. It demonstrates the need to manage organizations in a dynamic way, and to revisit and in some cases reinvent working and leadership styles that seemed appropriate during past decades and centuries. In turn, the book puts forward a model based on three distinct pillars of organization and leadership to suit disruptive times: the concepts of 'Sustainable Purpose', 'Travelling Organization', and 'Connecting Resources'. These pillars challenge many of our traditional organizational patterns and meet the need for effective transformative approaches.Table of ContentsAbout This Book.- Practice Cluster - Leadership & Systems.- Practice Cluster - Projects & Interventions.- Practice Cluster - Humans & Enterprises.- Practice Cluster - Talents & Capacibilites.- Conclusion.

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Book SynopsisThis open access book constitutes the research workshops, doctoral symposium and panel summaries presented at 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. Research papers and talks submissions were invited for the three XP 2019 research workshops, namely, agile transformation, autonomous teams, and large scale agile. This book includes 15 related papers. In addition, a summary for each of the four panels at XP 2019 is included. The panels were on security and privacy; the impact of the agile manifesto on culture, education, and software practices; business agility – agile’s next frontier; and Agile – the next 20 years.Table of ContentsFirst International Workshop on Agile Transformation. -Agile Transformation: A Summary and Research Agenda.- 2nd International Workshop on Autonomous Teams.- Trends and updated Research Agenda for Autonomous agile teams: A Summary of the 2nd International Workshop at XP2019.- Spotify Tailoring for Promoting Effectiveness in Cross-Functional Autonomous Squads.- Voices From the Teams - Impacts on Autonomy in Large-Scale Agile Software Development Settings.- Exploring the challenges of integrating data science roles in agile autonomous teams.- The Influence of Culture and Structure on Autonomous Teams in Established Companies.- Agile autonomous teams in complex organizations.- Earn Your Wings: A Novel Approach to Deployment Governance.- 7th International Workshop on Large-Scale Agile.- Future Trends in Agile at Scale: A Summary of the 7th International Workshop on Large-Scale Agile Development.- SAFe Adoptions in Finland: A Survey Research.- Comparing Scaling Agile Frameworks Based on Underlying Practices.- Finnish Large-Scale Agile Transformations: A Survey Study.- Changes Over Time in a Planned Inter-Team Coordination Routine.- Technical-, Social- and Process Debt in Large-Scale Agile: an exploratory case-study.- Doctoral Symposium.- Coordination in Large-Scale Agile Software Development.- Panels.- Security and Privacy.- Agile Manifesto – Impacts on Culture, Education, and Software Practices.- Business Agility.- Agile: The Next 20 Years.

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Book SynopsisThis open access book discusses firm valuation, which is of interest to economists, particularly those working in finance. Firm valuation comes down to the calculation of the discounted cash flow, often only referred to by its abbreviation, DCF. There are, however, different coexistent versions, which seem to compete against each other, such as entity approaches and equity approaches. Acronyms are often used, such as APV (adjusted present value) or WACC (weighted average cost of capital), two concepts classified as entity approaches.This book explains why there are several procedures and whether they lead to the same result. It also examines the economic differences between the methods and indicates the various purposes they serve. Further it describes the limits of the procedures and the situations they are best applied to. The problems this book addresses are relevant to theoreticians and practitioners alike.Table of Contents

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Book SynopsisThe main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. In this second edition the code snippets have been updated to Python 3, and some smaller errors have been corrected.The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic. After reading this book, they will be able to more confidently proceed to the research literature if needed.Table of ContentsEvent Logs.- Control-Flow Perspective.- Organizational Perspective.- Performance Perspective.- Process Mining in Practice.

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Book SynopsisBlockchain and other trustless systems have gone from being relatively obscure technologies, which were only known to a small community of computer scientists and cryptologists, to mainstream phenomena that are now considered powerful game changers for many industries. This book explores and assesses real-world use cases and case studies on blockchain and related technologies. The studies describe the respective applications and address how these technologies have been deployed, the rationale behind their application, and finally, their outcomes. The book shares a wealth of experiences and lessons learned regarding financial markets, energy, SCM, healthcare, law and compliance. Given its scope, it is chiefly intended for academics and practitioners who want to learn more about blockchain applications.Table of ContentsToward More Rigorous Blockchain Research: Recommendations for Writing Blockchain Case Studies.- From a Use Case Categorization Scheme Towards A Maturity Model for Engineering Distributed Ledgers.- What’s In The Box? Combating Counterfeit Medications in Pharmaceutical Supply Chains With Blockchain Vigilant Information Systems.- A Use Case of Blockchain in Healthcare: Allergy Card.- International Exchange Of Financial Information on Distributed Ledgers: Outlook and Design Blueprint.- A Blockchain Supported Solution for Compliant Digital Security Offerings.- A Blockchain-Driven Approach to Fulfill the GDPR Recording Requirements.- Wibson: A Case Study of a Decentralized, Privacy-Preserving Data Marketplace.- : Business Process Transformation in Natural Resources Development Using Blockchain: Indigenous Entrepreneurship, Trustless Technology, and Rebuilding Trust.- Smart City Applications on the Blockchain: Development of a Multi-Layer Taxonomy.- A Case Study of Blockchain-Induced Digital Transformation in the Public Sector.- Analyzing the Potential of DLT-Based Applications in Smart Factories.- Disrupting Platform Organizations with Blockchain Technology and the Internet of Things?.- Using Blockchain for Online Multimedia Management: Characteristics of Existing Platforms.- Supply Chain Visibility Ledger.

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This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

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Book SynopsisIn H2H Marketing the authors focus on redefining the role of marketing by reorienting the mindset of decision-makers and integrating the concepts of Design Thinking, Service-Dominant Logic and Digitalization. It’s not just technological advances that have made it necessary to revisit the way everybody thinks about marketing; customers and marketers as human decision-makers are changing, too. Therefore, having the right mindset, the right management approach and highly dynamic implementation processes is key to creating innovative and meaningful value propositions for all stakeholders. This book is essential reading for the following groups: Executives who want to bring new meaning to their lives and organizations Managers who need inspirations and evidence for their daily work in order to handle the change management needed in response to the driving forces of technology, society and ecology Professors, trainers and coaches who want to apply the latest marketing principles Students and trainees who want to prepare for the future Customers of any kind who need to distinguish between leading companies Employees of suppliers and partners who want to help their firms stand out. The authors review the status quo of marketing and outline its evolution to the new H2H Marketing. In turn, they demonstrate the new marketing paradigm with the H2H Marketing Model, which incorporates Design Thinking, Service-Dominant Logic and the latest innovations in Digitalization. With the new H2H Mindset, Trust and Brand Management and the evolution of the operative Marketing Mix to the updated, dynamic and iterative H2H Process, they offer a way for marketing to find meaning in a troubled world. Table of Contents1. The Current State of Marketing.- 2. The New Paradigm: H2H Marketing.- 3. H2H Mindset: The Basis.- 4. H2H Management: Putting Trust and Brand in Focus.- 5. Rethinking Operative Marketing: The H2H Process.- 6. Finding Meaning in a Troubled World.

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Book SynopsisThis open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.Table of ContentsPart I: Technology.- The Evolution of Chatbots in Tourism: a Systematic Literature Review.- In-room voice-based digital assistants transforming on-site hotel services and guests’ experiences.- Co-Creating Personalised Experiences in the Context of Personalisation-Privacy Paradox.- AI based Self-Service Technology Service Failure in Hotel.- Part II: Innovation.- Loyalty Programs and Direct Website Performance: An Empirical Analysis of Global Hotel Brands.- A Netnographic Study of Consumer Value in Slow Travel.- Coworking & coliving: do they attract digital nomad tourist?.- Robo-tipping: Are customers game?.- Part III: Social Media & User Generated Content.- Tourist experiences at overcrowded attractions: A text analytics approach.- A Pinterest Netnography.- Contextual Effects of Online Review Recency: Three Research Propositions.- Cultural traits in the consumption of luxury hotel services. An exploratory analysis through online reviews data.- Part IV: Destinations.- The Digitized Ecosystem of Tourism in Europe: Current Trends and Implications.- Destination Imagery Diagnosis Model: The Case of Switzerland.- Discovering Cultural Differences through Information Flow of National DMOs Websites.- Smart Tourism Cities’ Competitiveness Index: A Conceptual Model.- Part V: COVID-19.- Hear no virus, see no virus, speak no virus: Swiss hotels’ online communication regarding Coronavirus.- Factors influencing tourists’ intention to use COVID-19 contact tracing app.- Examining Post COVID-19 Tourist Concerns Using Sentiment Analysis and Topic Modeling.- Enhancing the Visitor Experience in the time of COVID 19. The use of AI Robotics in Pembrokeshire Coastal Pathway.

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Book SynopsisThis book constitutes the refereed proceedings of the 13th Software Quality Days Conference, SWQD 2021, which was planned to be held in Vienna, Austria, during January 19–21, 2021. Due to the COVID-19 pandemic, the conference was cancelled and will be merged with SWQD 2022. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conference on software quality in Europe with a strong community. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2021 is “Future Perspectives on Software Engineering Quality”. The 3 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 13 submissions. The volume also contains 2 invited talks and one introductory paper for an interactive session. The contributions were organized in topical sections named: automation in software engineering; quality assurance for AI-based systems; machine learning applications; industry-academia collaboration; and experimentation in software engineering. Table of ContentsAutomation in Software Engineering.- Assisted Requirements Engineering - What will Remain in the Hands of the Future Requirements Engineer (Keynote).- Testing Autogenerated OPC UA NodeSet Models for Product Variants in Industry.- Quality Assurance for AI-based Systems.- Quality Assurance for AI-based Systems: Overview and Challenges (Introduction to Interactive Session).- Software Quality for AI: Where we are now.- Hidden feedback loops in machine learning systems: a simulation model and preliminary results.- The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs.- Machine Learning Applications.- Improving Quality of Code Review Datasets - Token-based Feature Extraction Method.- Is Machine Learning Software Just Software: A Maintainability View.- Industry-Academia Collaboration.- Solving Problems or Enabling Problem-Solving? From Purity in Empirical Software Engineering to Effective Co-Production (Keynote).- Experimentation in Software Engineering.- An Empirical Study of User Story Quality and its Impact on Open Source Project Performance.- An Approach for Platform-Independent Online Controlled Experimentation.

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Book SynopsisThis book features the latest research in the area of immersive technologies, presented at the 6th International Augmented Reality and Virtual Reality Conference, held in online in 2020. Bridging the gap between academia and industry, it presents the state of the art in augmented reality (AR) and virtual reality (VR) technologies and their applications in various industries such as marketing, education, health care, tourism, events, fashion, entertainment, retail and the gaming industry.The book is a collection of research papers by prominent AR and VR scholars from around the globe. Covering the most significant topics in the field of augmented and virtual reality and providing the latest findings, it is of interest to academics and practitioners alike.Table of ContentsHow To Design Effective AR Retail Apps.- The Role of Mental Imagery as Driver to Purchase Intentions in a Virtual Supermarket.- User responses towards Augmented Reality face filters: Implications for social media and brands.- Can You Make the Cut? Exploring the Effect of Frequency of Cuts in Virtual Reality Storytelling.- Incorporation of augmented-reality technology into smartphone app for large-scale performance art.- Testing Mixed Reality Experiences and Visitor’s Behaviours in a Heritage Museum.- Interactive Mixed Reality Technology for Boosting the Level of Museum Engagement.- Too real for comfort: Measuring Consumers’ Augmented Reality Information Privacy Concerns.- The Proteus Effect: How Avatars Influence Their Users’ Self-Perception and Behaviour.- Modifying the Technology Acceptance Model To Investigate Behavioural Intention To Use Augmented.- Using Virtual Reality as a form of Simulation in the context of Legal Education

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Book SynopsisThe increasing importance of industrial services and rapid digitalization towards smart and remote services pose opportunities as well as challenges to the manufacturing sector. This book provides a holistic understanding of industrial service management and guides companies into building capabilities and management practices for smart and remote services. By combining insights from research and practice, it offers a unique perspective on the core and enabling activities of manufacturing companies for growth in the service business.In essence, the first part covers action-based research findings regarding service strategy, organizational design, service innovation, service sales, services operations, and customer relationship management together with insights into value networks. The second part introduces outstanding practices from leading manufacturing companies in industrial and smart services. The book concludes with a summary of key messages and recommendations to navigate the landscape of industrial and smart service management successfully.Table of ContentsPart I: Theoretical Considerations.- Introduction to Managing Industrial Services.- Servitization of Manufacturing Companies.- Fundamentals of Industrial Service Management.- Service Strategy.- Organizational Structure.- Service Innovation.- Service Sales.- Service Operations.- Customer Relationship Management and the Value Network.- Outlook and Summary of Managing Industrial Services.- Part II: Insights from Practice.- Editorial to Managing Industrial Services: Insights from Practice.- Industrial Smart Services Facilitated by the Heidelberg Cloud.- Adaptive Service: Digital Service Platform and the Service Crowd Community.- Enabling the Dealer Network to Deliver Smart Services.- SKF: Rotating Equipment Performance, a Shift in Perspective—From Transactions to Outcomes.- Value Co-creation as Key to Customer Satisfaction in Digital Services Sales.- Applications of a Digital Twin for the Use of Compressed Air Stations: Concepts and Methods for Model-Based Automatic Planning, Design, Control, and Analysis of Compressed Air Stations.

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Book SynopsisThis book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process automation, could provide a source of competitive advantage to firms deploying them compared to those firms that would not have deployed these technologies. The advantages of machine learning, natural language processing, and robotic process automation in strategy formulation and strategy implementation are explored. The book illustrates the potential sources of advantage for the strategy formulation and strategy implementation processes, which can be derived from the deployment of each form of artificial intelligence.Table of Contents1. Introduction to Artificial Intelligence and the Changing Nature of a Firm: Implications to Strategy and Strategy Implementation.- 2. A High-Level Overview of Artificial Intelligence: Historical Overview and Emerging Developments.- 3. A Brief Overview of the Firm’s Strategy.- 4. Strategy Implementation.- 5. Machine Learning in Strategy and Implementation.- 6. Natural Language Processing in Strategy and Implementation.- 7. Robotic Process Automation in Strategy and Strategy Implementation.- 8. Synopsis to Artificial Intelligence and the Nature of a Firm:Implications to Strategy and Strategy Implementation.

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Book SynopsisThis textbook provides a hands-on introduction to enterprise architecture management. It guides the reader through the applications of methods and tools to typical business problems by presenting enterprise architecture frameworks and by sharing experiences from industry.The structure of the book represents the typical stages of the journey of an enterprise architect. Chapter 1 addresses the central question of what to achieve with the introduction of an enterprise architecture. Chapter 2 then introduces concepts and visualizations for business architecture that help with understanding the business. In chapter 3 the development of an application architecture is outlined, which provides transparency on information systems and their business context. Next, chapter 4 presents visual tools to analyze, improve and eventually optimize the application landscape. Chapter 5 discusses both traditional organizational as well as collaborative approaches to enterprise architecture management. Eventually, several established enterprise architecture frameworks like TOGAF, Zachmann, ArchiMate, and IAF are described in chapter 6. The book concludes with a summary and an outlook on future research potential in chapter 7. Based on their experiences through several years of teaching, the authors introduce students step-by-step to enterprise architecture development and management. Their book is intended as a guide for master classes at universities and includes lots of exercises and references for further reading. Table of Contents1 Introduction.- 2 Understanding Business Architecture.- 3 Developing Application Architecture.- 4 Analysing Enterprise Architecture.- 5 Managing Enterprise Architecture.- 6 Applying Frameworks.- 7 Summary and Outlook.

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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 introduces higher-degree research students and early career academics to scientific research as occurring in the field of information systems and adjacent fields, such as computer science, management science, organization science, and software engineering. Instead of focusing primarily on research methods as many other textbooks do, it covers the entire research process, from start to finish, placing particular emphasis on understanding the cognitive and behavioural aspects of research, such as motivation, modes of inquiry, theorising, planning for research, planning for publication, and ethical challenges in research. Comprehensive but also succinct and compact, the book guides beginning researchers in their quest to do scholarly work and to assist them in developing their own answers and strategies over the course of their work. Jan Recker explains in this book the fundamental concepts that govern scientific research and then moves on to introduce the basic steps every researcher undertakes: choosing research questions, developing theory, building a research design, employing research methods, and finally writing academic papers. He also covers essentials of ethical conduct of scientific research. This second edition contains major updates on all these elements plus significant expansions on relevant research methods such as design research and computational methods, a rewritten and extended chapter on theory development, and expansions to the chapters on research methods, scientific publishing, and research ethics. A companion website provides pedagogical materials and instructions for using this book in teaching.Table of ContentsPart I: Basic Principles of Research.- Introduction.- Information Systems Research as a Science.- Part II: Conducting Research.- Planning Your Research.- Theorising.- Research Methods.- Part III: Publishing Research.- Writing IS Research Articles.- Ethical Considerations in Research.- Concluding Remarks.

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Book SynopsisThis book aims to facilitate and improve development work related to all documents and information required by functional safety standards. Proof of Compliance (PoC) is important for the assessor and certification bodies when called up to confirm that the manufacturer has developed a software system according to the required safety standards. While PoC documents add functionality to the product neither for the developer nor for the customer, they do add confidence and trust to the product and ease certification, and as such are important for the product’s value. In spite of this added value, the documentation needed for PoC is often developed late in the project and in a haphazard manner. This book aims at developers, assessors, certification bodies, and purchasers of safety instrumented systems and informs the reader about the most important PoC documents. A typical PoC documentation encompasses 50 to 200 documents, several of which are named in the safety standards (e.g., 82 documents in IEC 61508:2010 series, 101 documents in EN 5012X series and 106 work products in ISO 26262:2018 series). These documents also include further references, typically one to twenty of them, and the total number of pages developed by the manufacturer varies between 2000 and 10000 pages. The book provides guidance and examples what to include in the relevant plans and documents.Table of Contents1. The Introduction.- 2. Agile Practices.- 3. POC in Agile Development and for SMEs.- 4. Generic Documents.- 5. Plans and Functional safety Management.- 6. Safety Analysis Methods Applied to Software.- 7. Safety and Risk Documents.- 8. Software Documents.- 9. Test, Analysis and V&V.

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