Business mathematics and systems Books

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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Book SynopsisThis book constitutes the proceedings papers of the 14th IFIP Working Conference on the Practice of Enterprise Modeling, held in Riga, Latvia, during November 24-26, 2021. 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 the use of enterprise modeling and enterprise architecture towards ensuring sustainability and resilience of enterprises and societies. The 14 full and 6 short papers presented in this volume were carefully reviewed and selected from a total of 47 submissions. They were organized in topical sections named: enterprise modeling and enterprise architecture; enterprise modeling methods and method engineering; business process modeling and management; requirements engineering for privacy, security and governance; and case studies and experiences.Table of ContentsEnterprise Modeling and Enterprise Architecture.- Enterprise Coherence with GEA – a 15 Year Co-evolution of Practice and Theory.- Machine Learning-Based Enterprise Modeling Assistance: Approach and Potentials.- The Models for Knowledge Acquisition in PMI Specific Requirements Engineering.- Using Knowledge Graphs to Detect Enterprise Architecture Smells.- “Mind the Gap!”: Learning Missing Constraints from Annotated Conceptual Model Simulations.- Detecting value capture processes using FEM.- OLIVE, a Model-Aware Microservice Framework.- Enterprise Modeling Methods and Method Engineering.- An Experience Report on the Implementation of the KYKLOS Modeling Method.- Validation and Verification in Domain-Specific Modeling Method Engineering.- A Foundation for Design, Analysis, and Management of Digital Business Ecosystem through Situational Method Engineering.- Business Process Modeling and Management.- Design Guidelines to Derive ane3valueBusinessModel from a BPMN process model in the Financial Securities Sector.- Context-Aware Process Modelling for Medicinal Product Development.- Process Model Repair Meets Theory Revision - Initial Ideas.- Upper-bounded Model Checking for Declarative Process Models.- Requirements Engineering for Privacy, Security and Governance.- On the Philosophical Foundations of Privacy: Five Theses.- A Cyber Security Digital Twin for Critical Infrastructure Protection: the Intelligent Transport System Use Case.- Expanding Data Governance Across Company Boundaries – An Inter-Organizational Perspective of Roles and Responsibilities.- Case Studies and Experiences.- Can SysML Be Used for Enterprise Modelling?.- A Collaborative Model for Connecting Product Design and Assembly Line Design: an Aeronautical Case.- Assignment of Actors to Activities at Process-oriented Applications: A Research Agenda.

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Book SynopsisThis book presents a framework for developing as well as a comprehensive collection of state-of-the-art process querying methods. Process querying combines concepts from Big Data and Process Modeling and Analysis with Business Process Intelligence and Process Analytics to study techniques for retrieving and manipulating models of real-world and envisioned processes to organize and extract process-related information for subsequent systematic use. The book comprises sixteen contributed chapters distributed over four parts and two auxiliary chapters. The auxiliary chapters by the editor provide an introduction to the area of process querying and a summary of the presented methods, techniques, and applications for process querying. The introductory chapter also examines a process querying framework. The contributed chapters present various process querying methods, including discussions on how they instantiate the framework components, thus supporting the comparison of the methods. The four parts are due to the distinctive features of the methods they include. The first three are devoted to querying event logs generated by IT-systems that support business processes at organizations, querying process designs captured in process models, and methods that address querying both event logs and process models. The methods in these three parts usually define a language for specifying process queries. The fourth part discusses methods that operate over inputs other than event logs and process models, e.g., streams of process events, or do not develop dedicated languages for specifying queries, e.g., methods for assessing process model similarity. This book is mainly intended for researchers. All the chapters in this book are contributed by active researchers in the research disciplines of business process management, process mining, and process querying. They describe state-of-the-art methods for process querying, discuss use cases of process querying, and suggest directions for future work for advancing the field. Yet, also other groups like business or data scientists and other professionals, lecturers, graduate students, and tool vendors will find relevant information for their distinctive needs.Chapter "Celonis PQL: A Query Language for Process Mining" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsIntroduction to Process Querying.- Part I: Event Log Querying.- BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data.- Data-Aware Process Oriented Query Language.- Process Instance Query Language and the Process Querying Framework.- Part II: Process Model Querying.- The Diagramed Model Query Language 2.0: Design, Implementation, and Evaluation.- VM*: A Family of Visual Model Manipulation Languages.- The BPMN Visual Query Language and Process Querying Framework.- Retrieving, Abstracting, and Changing Business Process Models with PQL.- QuBPAL: Querying Business Process Knowledge.- CRL and the Design-Time Compliance Management Framework.- Process Query Language.- Part III: Event Log and Process Model Querying.- Business Process Query Language.- Celonis PQL: A Query Language for Process Mining.- Part IV: Other Process Querying Methods.- Process Querying Using Process Model Similarity.- Logic-Based Approaches for Process Querying.- Process Model Similarity Techniques for Process Querying.- Complex Event Processing Methods for Process Querying.- Process Querying: Methods, Techniques, and Applications.

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Book SynopsisThis book explains the functional scope, the data model, the solution architecture, the underlying engineering concepts, and the programming model of SAP S/4HANA as the most well-known enterprise resource planning (ERP) system. The approach is to start with general concepts and then to proceed step-by-step to concrete implementations in SAP S/4HANA. In the first part the reader learns about the market view of ERP solutions and vendors. The second part deals with the business processes for sales, marketing, finance, supply chain, manufacturing, services, procurement, and human resources which are covered with SAP S/4HANA. In the third part the underlying concepts of SAP S/4HANA are described, for example in-memory storage, analytics and search, artificial intelligence, process and data integration, security and compliance, lifecycle management, performance and scalability, configuration and implementation. The book is concluded with a final chapter explaining how to deploy an appliance to explore SAP S/4HANA. The target audience for the book are managers and business analysts who want to understand the market situation and future ERP trends, end users and process experts who need to comprehend the business processes and the according solution capabilities provided with SAP S/4HANA, architects and developers who have to learn the technical concepts and frameworks for enhancing SAP S/4HANA functionality, and consultants and partners who require to adopt and configure SAP S/4HANA.Table of ContentsPart 1: Market View.- 1. Challenges and Characteristics of ERP Systems.- 2. ERP Market Analysis.- 3. ERP Future Trends.- Part 2: Functional View.- 4. Functional Departments and Enterprise Domains.- 5. Master Data of Business Partner.- 6. Master Data of Product.- 7. Master Data of Bill of Material.- 8. Process of Idea to Market.- 9. Process of Source to Pay.- 10. Process of Plan to Fulfill.- 11. Process of Lead to Cash.- 12. Process of Recruit to Retire.- 13. Process of Acquire to Decommission.- 14. Process of Governance.- 15. Process of Finance.- 16. Industry Solutions.- Part 3: Conceptual View.- 17. ERP Product Qualities: Customer View.- 18. ERP Product Qualities: Provider View.- 19. In-Memory Persistency.- 20. Virtual Data Model.- 21. Transactional Programming Model.- 22. Analytics.- 23. Search.- 24. Artificial Intelligence.- 25. Internet of Things.- 26. Process Integration.- 27. Data Integration.- 28. In-App Extensibility.- 29. Side-by-Side Extensibility.- 30. User Experience.- 31. Identity and Access Management.- 32. Data Protection and Privacy.- 33. Secure Development and Operations.- 34. Globalization and Localization.- 35. Scalability and Performance.- 36. Lifecycle Management.- 37. Configuration.- 38. Implementation.- Appendix.- 39. Explore SAP S/4HANA System.

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Book SynopsisA new wave of digital technologies has impacted the business world like a tsunami. But after a first phase characterized by hype and unrealistic expectations, there is now a shared need for a better understanding of how to create real and sustainable value by adopting these technologies. This book suggests a pragmatic approach to value creation by embracing the post-digital mindset: a more mature attitude toward digital innovation focused on putting these technologies at work rather than marveling at them. After the illustration of a post-digital manifesto, the book explores all the key topics and tools that are relevant for the decision makers in this context. Table of Contents1. Companies and Digital Transformations.- 2. Disruptive as Usual: A Manifesto for the Digital Age.- 3. Redescovering the Fundamentals of Value Creation.- 4. Competences and Capabilities for Digital Value Creation.- 5. Enterprise Renewal and Change Management.- 6. A Tool for the Boardroom: The Devo Lab Hit Radar.- The Hit Radar in Action.- 8. The Legal Side of Digital Technologies: Challenges and New Paradigms.- 9. Enabling the Post-Digital Enterprise.

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Book SynopsisThis textbook provides a comprehensive, holistic, scientifically precise, and practically relevant description of Enterprise Architecture Management (EAM). Based on state-of-the-art concepts, it also addresses current trends like disruptive digitization or agile methods. The book is structured in five chapters. The first chapter offers a comprehensive overview of EAM. It addresses questions like: what does EAM mean, what is the history of EAM, why do enterprises need EAM, what are its goals, and how is it related to digitalization? It also includes a short overview of essential EAM standards and literature. The second chapter provides an overview of Enterprise Architecture (EA). It starts with clarifying basic terminology and the difference between EA and EAM. It also gives a short summary of existing EA frameworks and methods for structuring the digital ecosystem into layers and views. The third chapter addresses the strategic and tactical context of the EAM capability in an enterprise. It defines essential terms and parameters in the context of enterprise strategy and tactics as well as the operative, organizational context of EAM. The fourth chapter specifies the detailed goals, processes, functions, artifacts, roles and tools of EAM, building the basis for an EAM process framework that provides a comprehensive overview of EAM processes and functions. Closing the circle, the last chapter describes how to evaluate EAM in an enterprise. It starts by laying out core terminology, like “metric” and “strategic performance measurement system” and ends with a framework that integrates the various measuring areas in the context of EA and EAM. This textbook focuses on two groups: First, EAM scholars, ie bachelor or master students of Business Information Systems, Business Administration or Computer Science. And second, EAM practitioners working in the field of IT strategy or EA who need a reliable, scientifically solid, and practically proven state-of-the-art description of essential EAM methods.Table of Contents1. EAM in a Nutshell.- 2. Enterprise Architecture in a Nutshell.- 3. Strategic and Tactical Context of EAM.- 4. EAM Implementation.- 5. EAM Evaluation.

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Book SynopsisTechnology is pervasive in today’s globalized world. Moreover, technology and globalization drive competitiveness and strategy, and must be managed well. This textbook uses technology management as the central theme to cover multiple business and social facets, including digital transformation, cybersecurity, international operations, marketing, finance, culture, human capital, and the political economy. The book is divided into four sections. Part 1 examines the confluence of globalization and technology from the first Industrial Revolution to the current Fourth Industrial Revolution. Part 2 introduces strategic and analytical metrics and models that are crucial to managerial decision-making. Part 3 discusses the basics of cybersecurity and combating cyber-threats to protect organization and its stakeholders. Part 4 focuses on sustainable operations, global projects, and digital transformation in a technology-centric, globalized world. The book will help students learn how to navigate business aspects of globalization and technology in the 4th Industrial Revolution (4IR). For instructors, the learning objectives and discussion questions help guide students in grasping the material.Table of ContentsIntroduction.- Section I. Understanding the Emerging 4IR World .- Chapter 1. The Road to 4IR (4th Industrial Revolution).- Chapter 2. Managing in the 4IR world.- Chapter 3: Business Concepts in Globalization.- Section II: 4IR Strategy and Analytics.- Chapter 4. Strategizing using Technology.- Chapter 5: How 4IR Innovations are Reshaping the World.- Chapter 6: Strategic Analytics for Decision-Making.- Chapter 7: Tying Strategic Analytics to Data Analytics.- Chapter 8: Data Analytics and Data Mining.- Section III: Cybersecurity in a Global Context .- Chapter 9: Introduction to Cybersecurity.- Chapter 10: Cybersecurity Threats: Malware in the Code.- Chapter 11: Cybersecurity Protection Framework.- Section IV: Managing 4IR Operations: Global Projects, Sustainability, & Digital Transformation.- Chapter 12: 4IR Operations, Technology, and Sustainability.- Chapter 13: Managing Offshore Projects and Operations.- Chapter 14: Digital Transformation in a Globalized World.

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Book SynopsisThis book is intended to guide researchers interested in the world of innovation in real estate finance linked to technology and provide new evidence on classifying and evaluating the performance of PropTech companies. Chapters will deal with the evolution of PropTech, possible business models, negotiation and property management tools, new property financing tools (p2p lending and crowdfunding), the market and the balance sheet analysis of PropTech companies in Europe.A valuable resource for researchers studying the real estate industry, this book is also relevant to those studying FinTech and the impact of technology on industry more broadly. It can also be of use to professionals in the real estate industry, looking for a cutting edge research-based study on PropTech.Table of ContentsIntroduction 2. PropTech: history and development2.1 Introduction2.2 Proptech 1.0 (1982-2000)2.3 Proptech 2.0 (2001-2016)2.3.1 Sector classification2.3.2 Business model2.4 Proptech 3.0 (2017-Today)2.4.1 Blockchain technology2.4.2 Blockchain and real estate2.5 European real estate market2.6 ConclusionInnovation in negotiating real estate assets3.1 Introduction3.2 Negotiation process3.3 Managing real estate transactions3.3.1 Valuation3.3.2 Counterparty screening3.3.3 Due diligence and contract registration3.4 ConclusionManaging real estate assets and portfolios with IT tools4.1 Introduction4.2 Real estate risk4.2.1 Greenfield and Brownfield projects4.2.2 Income-producing real estate 4.3 Risk management tools4.3.1 Transaction-Intensive Processing4.3.2 Judgement-Intensive Processes4.3.3 Design and Strategy Support Processes4.4 ConclusionFinancing Instruments in the proptech industry5.1 Introduction5.2 The framework of P2P lending in Crowdfunding5.2.1 Object and operation of P2P lending5.2.2 The opportunities offered by P2P lending5.2.3 Risks and disadvantages of P2P lending5.2.4 Business models 5.3 The leading international player in P2P lending5.4 Debt-crowdfunding5.4.1 Characteristics5.4.2 The risks5.5 Equity crowdfunding investment 5.5.1 Characteristics5.4.2 The risksConclusionAn analysis of the performance of the protech companies6.1 Introduction6.2 Business model classification6.3 Empirical analysis6.3.1 Sample6.3.2 Methodology6.3.3 Results6.4 ConclusionConclusion

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Book SynopsisEditorial: Industry 5.0 Towards Human Value and Value for Human.- The Dilemma Between Industry 4.0 and Society 5.0: A Technological Evolution of Digital Transformation or a Humanitarian Revolution of Well-Being?.- Transitioning from Industry 4.0 to Industry 5.0: An Overview of Co-Evolution.- Industry 5.0: Quo Vadis? Challenges and Concerns for Future Development.- From Industry 4.0 to Industry 5.0: challenges and opportunities of evolutionary transition in Russia.- Theoretical Research on Sustainable Business Model Innovation Driven by Digital Technology.- Economic Passionarity: Formation Peculiarities in The Digital Age.- Value-Based vs Pragmatic Approach to the Sustainable Development of Energy Sector Companies in the Context of Industry 5.0.- Institutional Environment of The Information Economy: A Method for Assessing the Contribution to The Socio-Economic Development.- Agile Methodology Catalyzing Digital Transformation: Implementation Objectives and Evaluation Criteria in Organizational Settings.- New Forms of Capital in the Context of Digitalization of the Industrial Sector.- Developing an Agent-Based Model for Intelligence Transformation of a Regional Industrial Complex.- The New Industry 5.0 Paradigm: An Investigation in the Italian Automotive Sector.- Operational Management of Production for Car Maintenance and Repair Using Digital Twin Technology.- Industrial Digitalization as a Driver of City Reindustrialization: Evidence from Detroit.- Strategic Interventions: Navigating Industry Development Trends through Digitalization for Enhanced Competitiveness of Italian Wood-Furniture Companies.- Robotic Technological Processes Optimization in the Context of Digital Transformation of Industry.- Driving Sustainable Growth: Leveraging Digital Transformation in Photovoltaic Manufacturing.- Digital Twin Prototype Structure of Value, Demand and Supply Chain Management.- Green Warehouse 5.0.- Digitalization of Manufacturing Enterprises: The perspective of employees and employers.- Congruence of Skills and Technologies in the Conditions of Digitalization of Industry.- The Role of Demographic Processes in the Digital Transformation of Industrial Regions.- Problem-Based Modular Learning in Instrument Engineering Within Education 5.0.- Big and Small Data in Corporate Human Resource Management.- Strategic Integration of Industry 5.0 Assistive Technologies for Cognition in Business for Human Capital Development.- The Impact of the Digital Economy on the Development of Human Capital in the Oil and Gas Industry.- Digitizing Human Capital Management at Industrial Enterprises: A Case of Business Process Modeling in the Fuel and Energy Sector.- The Impact of Industry 5.0 Human Capital on Production System Performance: Evidence from Russian Metallurgy.- The Impact of Digital Transformation on Labor Productivity of Chinese Small and Medium-Sized Enterprises (SMEs).- Defining Performance Indicators for a Multi-Stakeholder Manufacturing Digital Platform: An ECOGRAI Adaptation.- Method of Minimax Terminal Program Control of Enterprise Product Output for Digitalization of Decision-Making Processes.- Risk Evaluation in the Strategic Planning of Industrial Regions' Development within Industry 5.0.- Implementation of the Windows of Opportunity in the Investment Sector of Industry of Russian Regions in the Context of Digitalization.- Integration of the Sustainability Aspects into the Evaluation of the Export Potential of High-Tech Companies.- Impact of Digitalisation on the Technological Development of Industry: Russian Experience.

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Book Synopsis1. Generative AI Review Summaries and their Impact on Ambivalence and User Behavior: An Eye-Tracking Study.- 2. Offloading to Digital Minds: How Generative AI Can Help to Craft Jobs.- 3. Deciphering User Gaze Dynamics: Interacting an AI-Driven Platform with an Chatbot for Problem Solving.- Pictures or it didn't happen! How the Use of the Generative AI Images Impacts the Perceived Believability of News Headlines.- 5. Trust and Compliance in Financial Services: A Comparative Study of Human-led vs AI-led Teams Using Behavioral and Neuroscientific Measures.

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Book SynopsisChapter 1. Navigating Digital Transformation: Organizational Change, Digital Work, and Individual Behaviors.- Chapter 2. Disruptive Technology's Transfer Between Organizational Units: The Role of Corporate Headquarters.- Chapter 3. Change Management in the Italian Judicial System: the Case of Ufficio per il Processo".- Chapter 4. Lessons Learned From a Case Study: A Diamond Model for Implementing and Scaling Process Mining.- Chapter 5. Information Security: Still Not My Job!.- Chapter 6. User Acceptance of Business Information Systems and Their Influence on Organizational Performance: an Agent-based Model.- Chapter 7. The Pivotal Role of Workarounds for Navigating Challenges in Digital Work.- Chapter 8. Opportunities and Constraints in Designing Well-being Programs Supported by Wearable Technologies in Organizations.- Chapter 9. Effective Strategies for Managing and Maintaining Organisational Culture in Virtual and Hybrid Teams: Insights for Organisational Leaders.- Chapter 10. Linking People Analytics, HRM Practices and Sustainable Development Goals Reporting: an Interpretative Framework.- Chapter 11. Robots in Personnel Selection: the Role of Interviewer's Competence Ratings and Interviewee's Fairness Perception.- Chapter 12. Organisational Culture and Hybrid Work in the Italian Public Sector. The Case of a Small University.- Chapter 13. Promoting the Adoption of AI-based Recommendations Through Organizational Practices.- Chapter 14. Business Intelligence for Continuous Auditing.- Chapter 15. Conceptualizing Responsible Adoption of Artificial Agents in the Workplace: A Systems Thinking Perspective.- Chapter 16. AI and Decision-making Process: A Meta-synthesis of the Literature.- Chapter 17. Beyond the Technical Use of Management Control Systems: Valuing Public Employees' Experience of Interactional Fairness.- Chapter 18. Organizational Change and Leadership: A Bibliometric Analysis.- Chapter 19. Women's Resilience in the Time of Covid-19.

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Book Synopsis.- AI, ML & Agents..- AI Explainability Methods in Digital Twins: A Model and a Use Case..- Enterprise Design, Operations and Computing with AI Agents: Accountability using DSL..- BPM and WFM..- A Tree-Based Definition of Business Process Conformance..- Control-flow Reconstruction Attacks on Business Process Models..- Business Models, Platforms & Strategic Management..- Value assessment of consumer electronics with Digital Product Passport: A case study of lifetime extension assessment of disposed washing machines..- Enterprise and IT Architecture..- How to Measure the Speed of Enterprise IT? An Enterprise Architecture - based Case Study in a Very Large Enterprise..- Towards Role Mappings in Hybrid Cloud Environments: A Systematic Literature Review..- A Longitudinal View on the Perceived Contribution of Enterprise Architecture in the Netherlands..- IT & Software Architecture..- MVVM Revisited: Exploring Design Variants of the Model-View ViewModel Pattern..- Domain-Driven Design Representation of Monolith Candidate Decompositions..- Implications of Trust in Cyber-Physical Systems Design: the ASSA Case Study..- Drivers and Metrics for Quantifying IT Landscape Complexity.- Modeling Methods, Data & Component..- GNN-based Conceptual Model Modularization: Approach and GA-based Comparison..- Automatic Extraction and Formalization of Temporal Requirements from Text: A Survey..- Process Mining & Monitoring..- Recognizing Relationships: Detecting the 4C Spectrum in O(P 2 + T 2 ) for Acyclic Sound Process Models..- Process Tree Alignments..- DigiEMine: Towards Leveraging Decision Mining and Context Data for Quality Control..- Sustainability & Resilience..- Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business Process Management.

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Book Synopsis8th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2024).- The Role of Trust in AI-Augmented Business Process Management Systems.- Knowledge Graphs: A Key Technology for Explainable Knowledge-Aware Process Automation.- Graph Neural Networks for PPM: Review and Benchmark for Next Activity Predictions.- Bridging Domain Knowledge and Process Discovery Using Large Language Models.- 3rd International Workshop on Data-Driven Business Process Optimization (BPO 2024).- The Business Process Optimization Competition.- Ad-hoc subprocesses The missing link between scheduling and business process modelling.-Applying Process Mining on Scientific Workflows: a Case Study on High Performance Computing Data.- 8th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2024).- Check my Flow: Distributed Conformance Checking at the Source.- From IoT Event Logs to Human Routines via Community Detection Algorithms.- Machinery activity recognition in the industry based on heterogeneous data.- LLM-based event abstraction and integration for IoT-sourced logs.- 17th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2024).- Non-visual process models: How do blind and low-vision users model business processes.- Diversity and Inclusion in HR processes in financial sector.- Mining for Well-Being: The Potential of Process Mining for Evaluating Employee Well-Being.- 3rd International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2024).- Straight outta Logs: Can LLMs overcome preprocessing in Next Event Prediction.- Enhancement of Low-Level Event Abstraction with Large Language Models (LLMs).- Analysis, and Optimization of Business Processes.- Towards a Benchmark for Causal Business Process Reasoning with LLMs 220.- Using Large Language Models to Generate Process Knowledge from Enterprise Content.- Efficient LLM-Based Conversational Process Modeling.- Leveraging Generative Vision Models for Extracting Process Models from Documents.- International Workshop on Object-centric Processes from A to Z (OBJECTS 2024).- Coordination Process Verification for object-centric Business Processes.- Transforming Object-Centric Event Logs to Temporal Event Knowledge Graphs.- 2nd International Workshop on Change, Drift, and Dynamics of Organizational Processes (ProDy 2024).- SWORD Framework for Workaround Detection.- First Insights into the Impact of Concept Drift on Process Complexity.- Visualizing Routine Dynamics in Outpatient Medical Clinics with Topological Data Analysis.- 1st International Workshop on Managing Process Innovation and Value Creation in the Era of Digital Transformation (Innov8BPM 2024).- Process Mining Pipelines with Controlled Sharing of Data and Algorithms.- How Can We Develop Inclusive Business Process Management.- Business Value of Process Mining: A Contingency Perspective.- Towards a Unified Approach: Developing a Reference Model for Digital Twins and Business Process Management in Clinical Trials.- Business in the Age of Platform Economics: Managing Decentralised Business Processes Beyond Blockchain.

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Book SynopsisA Picture is Worth a Thousand Words Exploring Bias in Inclusive Chatbot Design.- Ensuring Energy Affordability through Digital Technology: A Research Model and Intervention Design.- The Motivation of Companies to Implement Corporate Digital Responsibility Activities Voluntarily: An Empirical Assessment.- Human perceptions of fairness: a survey experiment.- Unraveling Information-Limiting Environments: An Empirical Review of Individual, Social, and Technological Filters in Social Media.

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Book SynopsisRequirements for a Federated Learning System to strengthen IT Security in Human Resource Management.- Implementing Smart Contracts: The case of NFT-rental with pay-per-like.- Revealing Hidden Self-financed Wash Trading in Non-Fungible-Token Markets.- DataOps as a Prerequisite for the Next Level of Self-Service Analytics Balancing User Agency and Central Control.

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Book SynopsisAntecedents of Non-Ownership Business Model Offerings in the Mechanical Engineering Industry A Set Theoretic Approach.- Conflicting Identities during Digital Transformation Efforts of an Incumbent Automotive Firm.- Understanding Business Process Evolution in Digital Ventures.- Exploring Central Platform Types and Related Concepts in Service Research A Systematic Literature Review.

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Book SynopsisPart I: Introduction.- 1. Introduction to Enterprise Engineering.- 2. Introduction to Enterprise Architecture.- 3. Introduction to Enterprise Design.- Part II: Theories.- 4. The Enterprise Engineering theories.- 5. The EE function-construction theory.- 6. The EE organisational operation theory.- 7. The EE organisational construction theory.- 8. The EE organisational essence theory.- 9. The EE organisational design theory.- 10. The EE organisational implementation theory.- Part III: Applications.- 11. The DEMO methodology.- 12. Exercise: Pizzeria.- 13. Exercise: Library.- 14. Exercise: Redesigning a National Police Force.- 15. Real-life cases.

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Book SynopsisChapter 1. Scaling Product Acceptance Analysis Using Annotation Systems Based on Large Language Models.- Chapter 2. Strategies for Effective Remote Retrospectives: Exploring Retrospective Games, Anonymity, and Continuous Reflection.- Chapter 3. Self-Sovereign Identities: Brief History and Survey of the Field.- Chapter 4. A Framework for Rigorous Execution and Presentation of Expert Interviews in IS and Digital Transformation Research.- Chapter 5. Growing Pains of Digital Transformation: Navigating the Challenges in Non-Profits.- Chapter 6. Digital Innovation, Strategic and Lean Management as Success Factors in IT.- Chapter 7. A Solution for Developing Corpora for Polish Speech Enhancement in Complex Acoustic Environments.- Chapter 8. Data-Driven Assessment of Practical Skills in Cybersecurity Challenges.- Chapter 9. A Circular Digital Twin for Climate-Smart Soils through Community Composting.- Chapter 10. Design Principles for Food Heritage Digital Twins.- Chapter 11. Beyond Agile Methodologies: Exploring the Business Analyst’s Role in Agile Software Development.- Chapter 12. Assessing Operational Business-IT Alignment for Architecture Improvement.- Chapter 13. An EBNF-Based Grammar for Use Case Specification.- Chapter 14. Changes in Node.js Server-Side Application Performance Characteristics Over Time Under Load.

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Book SynopsisChapter 1. Digital Innovation and Entrepreneurship.- Chapter 2. IS Strategy and Governance.- Chapter 3. Enterprise Architecture and IT Infrastructure.- Chapter 4. Data, Information, and Content Management.- Chapter 5. Systems Development and Systems Deployment.-  Chapter 6. Enterprise Systems.- Chapter 7. Project Management.- Chapter 8. Process Management.- Chapter 9. Business Continuity and Information Assurance.- Chapter 10. Ethics, Impacts, and Sustainability.- Chapter 11. Digital Transformation.

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Book SynopsisThe Genesis and Evolution of AI Agents.- AI Agent Tools and Frameworks.- AI Agent Ecosystem - Multi-Agent Coordination.- AI Agent Economics.- AI Agents and Business Workflow.- AI Agents in Offensive Security.- AI Agents in Cyber Defense.- AI Agents in Banking.- AI Agents in Insurance.- AI Agents in Healthcare Practices.- AI Agents in Robotics.- AI Agent Safety and Security Considerations.

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Book SynopsisPart I: General.- Chapter 1: Why AI and Security?.- Chapter 2: Understanding AI and ML.- Part II: AI in Security.- Chapter 3: AI in Security.- Chapter 4: AI for Network Security.- Chapter 5: AI for Software Security.- Chapter 6: AI for Cloud Security.- Chapter 7: AI for IoT and OT Security.- Part III: Secure AI.- Chapter 8: AI Security and Privacy.- Chapter 9: Defense Methods for Adversarial Attacks and Privacy Issues in Secure AI.- Chapter 10: General Framework for AI Security and Privacy.- Chapter 11: AI Safety and Fairness.- Chapter 12: AI Security Challenges, Opportunities and Future Work.- Chapter 13: Conclusion.

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Book SynopsisChapter1: Motivation and Chapter Overview.- Chapter2: Cloud product strategy, vision, market positioning, and pricing.- Chapter3:Understanding Product Strategy and Roadmaps.- Chapter4: The Challenges of User Research in Product Management.- Chapter5: Integrating the Voice of the Customer in Cloud Product Management The Role and Application of Market Research Techniques.- Chapter6: Managing Generative Products Different Rules for Software Innovation.- Chapter7: Machine Learning Get ready to measure the value for Supply Chain Management Understanding the value of Machine Learning in the context of Business Processes.- Chapter8: Systematic Quality Assurance for Blockchain based Services.- Chapter9: Make product and service requirements shippable from the cloud service vision to a continuous value stream which satisfies current and future user needs.- Chapter10: Engineering of Sustainability with Existing Levers in Cloud Services.

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