This book introduces, explains, and illustrates the theories, concepts, and methods needed for sound enterprise engineering. These are based on foundational insights, specifically those concerning the employee-centric theory of organization, which are put into practice by coherently and consistently applying them to enterprise design and change. The book consists of five main chapters, the first of which emphasizes the importance of linking foundational insights with the enterprise engineering design science for practicing them in enterprise design within the scope of enterprise governance concerned with enterprise change. Chapter 2 summarizes the necessary philosophical, ontological and ideological foundations of enterprise design and change. Subsequently, chapter 3 outlines essential aspects of enterprise change and describes the relation between enterprise governance and the process of enterprise design, while chapter 4 details the enterprise engineering design science and the actual enterprise design process, its various perspectives and both its intermediate and final results. Lastly, chapter 5 illustrates in detail the application of all the process steps in a single, extensive example. In this way, the book shows how all the cornerstones of enterprise design and change, as well as the employee-centric theory of organization can be applied. The book is mainly intended for students in areas such as business administration, management and organization science, governance, and enterprise and information systems design. However, professionals working in these areas will also benefit from the book, as it provides them with all the elements needed for engineering enterprise design, and details their application.

This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Personalized Psychiatry - Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health.

This book presents the latest findings and ongoing research in the field of environmental informatics. It addresses a wide range of cross-cutting activities, such as efficient computing, virtual reality, disruption management, big data, open science and the internet of things, and showcases how these green information & communication technologies (ICT) can be used to effectively address environmental and societal challenges. Presenting a selection of extended contributions to the 32nd edition of the International Conference EnviroInfo 2018, at the Leibniz Supercomputing Centre in Garching near Munich, it is essential reading for anyone looking to expand their expertise in the area.

This book is open access under a CC BY-NC 4.0 license. This volume presents several case studies highlighting the latest findings in Industry 4.0 projects utilizing S-BPM features. Their potential is explored in detail, while the limits of engineering a company from a communication-centred perspective are also discussed. After a general introduction and an overview of the book in chapter 1, chapter 2 starts by condensing the industrial challenges driven by the German "Industry 4.0" trend to form a concrete vision for future production industries. Subsequently, chapter 3 introduces the basic concepts of S-BPM and its capabilities, in particular for supporting the restructuring of processes. The next three chapters then present various case studies, e.g. at an SME offering the production of atypical, unique and special purpose machinery, equipment and technologically complex units particularly useful in the automotive and electronic industries; and at a further SME producing highly-customized floor cleaning machines. Rounding out the coverage, the last two chapters summarize the achievements and lessons learned with regard to the road ahead. Overall, the book provides a realistic portrait of the status quo based on current findings, and outlines the future activities to be pursued in order to establish stakeholder-centred digital production systems. As such, developers, educators, and practitioners will find both the conceptual background and results from the field reflecting the state-of-the-art in vertical and horizontal process integration.

This book presents articles from the International Conference on Blockchain Technology (IC-BCT) 2019, held in Mumbai, India, and highlights recent advances in the field. It brings together researchers and industry practitioners to show case their ideas linked to business case studies, and provides an opportunity for engineers, researchers, startups and professionals in the field of Blockchain technology to further collaboration.

This is an academic book that explains in reahty, examines theoretically, and analyzes statistically information system investment in the banking industry with regard to the process of the information technology revolution. This kind of comprehensive research on the banking industry is the first in the world. It could be seen as an application study for Japanese financial deregulation after 1997. However, our project, the Workshop of Information System Investment, is a theoretical research venture, consisting originally, when it began in 1994, of economists and computer scientists. It aimed to measure the effect of com puter hardware and software on the modern economy, based on the microdata of each firm, and to extend the frontiers of economic science. It was, coin- dentally, the time when this project began full-scale operation, in July 1997, that the voluntary closure of Yamaichi Securities was decided. The failure of the Hokkaido Takushoku Bank was disclosed in November of the same year, and the breakdown, temporary nationalization, buying out, and mergers of several banks succeeded one another. Our research therefore suddenly got into the social spotlight on the application stage. Part I is the first history and strategic guidelines of information systems in the banking industry. Part II summarizes the economic analyses of informa tion system investment in the United States, Europe, and Japan. These parts are foundations for the statistical analyses in Part III."

This book provides an understanding of innovation models and why they are important in the business context, and considers sources of innovation and how to apply business frameworks using real-world examples of innovation-led businesses. After providing a solid background to the key concepts related to innovation models, the book looks at why innovation takes place and where the sources of innovation lie, from corporate research to crowd-sourced and government-funded initiatives. Innovation models across manufacturing, services and government are explored, as well as measuring innovation, and the impact of design thinking and lean enterprise principles on innovation and sustainability-driven imperatives. Offering a truly comprehensive and global approach, Business Innovation should be core or recommended reading for advanced undergraduate, postgraduate, MBA and Executive Education students studying Innovation Management, Strategic Management and Entrepreneurship.

This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few. It also highlights integrated methods and practices in the areas of machine learning and genetic algorithms. After discussing applications in supply chains and logistics, cloud computing, six sigma, production management, big data analysis, satellite imaging, game theory, biometric systems, quality, and system performance, the book examines the latest developments and breakthroughs in the field of science and technology, and provides novel problem-solving methods. The themes discussed in the book link contributions by researchers and practitioners from different branches of engineering and management, and hailing from around the globe. These contributions provide scholars with a platform to derive maximum utility in the area of analytics by subscribing to the idea of managing business through system sciences, operations, and management. Managers and decision-makers can learn a great deal from the respective chapters, which will help them devise their own business strategies and find real-world solutions to complex industrial problems.

Grounded in extensive research and field testing, Design-Centered Entrepreneurship presents a concise problem-solving approach to developing a unique business concept. Step-by-step guidelines provide insight into exploring market problem spaces, uncovering overlooked opportunities, reframing customer problems, creating business solutions, and sustaining success and an entrepreneurial culture. Drawing on methodologies from the world of design, the book helps students of entrepreneurship fill in the missing piece that transforms opportunity recognition into a viable business concept. Plenty of useful diagrams help to organize key concepts, making them easily accessible to readers. This second edition has been updated to include social entrepreneurship, more international examples and enhanced support materials. The digital supplements include a virtual creative problem-solving profile, slides, and an instructor manual. Design-Centered Entrepreneurship is the ideal text for entrepreneurship and new venture creation courses with a focus on design thinking.

This book illustrates how goal-oriented, automated measurement can be used to create Lean organizations and to facilitate the development of Lean software, while also demonstrating the practical implementation of Lean software development by combining tried and trusted tools. In order to be successful, a Lean orientation of software development has to go hand in hand with a company's overall business strategy. To achieve this, two interrelated aspects require special attention: measurement and experience management. In this book, Janes and Succi provide the necessary knowledge to establish "Lean software company thinking," while also exploiting the latest approaches to software measurement. A comprehensive, company-wide measurement approach is exactly what companies need in order to align their activities to the demands of their stakeholders, to their business strategy, etc. With the automatic, non-invasive measurement approach proposed in this book, even small and medium-sized enterprises that do not have the resources to introduce heavyweight processes will be able to make their software development processes considerably more Lean. The book is divided into three parts. Part I, "Motivation for Lean Software Development," explains just what "Lean Production" means, why it can be advantageous to apply Lean concepts to software engineering, and which existing approaches are best suited to achieving this. Part II, "The Pillars of Lean Software Development," presents the tools needed to achieve Lean software development: Non-invasive Measurement, the Goal Question Metric approach, and the Experience Factory. Finally, Part III, "Lean Software Development in Action," shows how different tools can be combined to enable Lean Thinking in software development. The book primarily addresses the needs of all those working in the field of software engineering who want to understand how to establish an efficient and effective software development process. This group includes developers, managers, and students pursuing an M.Sc. degree in software engineering.

Within Entrepreneurship Education, Team Academy (TA) is seen by some as an innovative pedagogical model that enhances social connectivity, as well as experiential, student-centred, and team-based learning. It also creates spaces for transformative learning to occur. This fourth book of the Routledge Focus on Team Academy book series the TA model is examined outside of the traditional TA-based settings (industry, schools, communities of practice, etc.) in different countries (Brazil, Japan, UK, Finland, Argentina, Tanzania, Spain, etc.). The legacy that this has left in learners and practitioners who have engaged with the model is also explored. This book is aimed at academics, practitioners, and learners engaged in the Team Academy methodology, pedagogy and model, as well as those interested in the area of entrepreneurial team learning. Readers will be inspired to innovate in their delivery methodologies and to explore learning-by-doing approaches to creating value. The book also aims to challenge the discourse around entrepreneurship and entrepreneurial activities, offering insights, research, stories, and experiences from those learning and working in the Team Academy approach.

Unique shortform textbook on entrepreneurship Saves time for students of entrepreneurship and small business management Covers key theories and topics

* First new guide on franchising in over 10 years * Employs proprietary dataset for a research-backed and practical approach * Enables students to prepare their own feasibility analyses and growth strategies to enter this booming sector

This edited three volume edition brings together significant papers previously published in the Journal of information Technology (JIT) over its 30 year publication history. The three volumes of Enacting Research Methods in Information Systems celebrate the methodological pluralism used to advance our understanding of information technology's role in the world today. In addition to quantitative methods from the positivist tradition, JIT also values methodological articles from critical research perspectives, interpretive traditions, historical perspectives, grounded theory, and action research and design science approaches. Volume 1 covers Critical Research, Grounded Theory, and Historical Approaches. Volume 2 deals with Interpretive Approaches and also explores Action Research. Volume 3 focuses on Design Science Approaches and discusses Alternative Approaches including Semiotics Research, Complexity Theory and Gender in IS Research. The Journal of Information Technology (JIT) was started in 1986 by Professors Frank Land and Igor Aleksander with the aim of bringing technology and management together and bridging the 'great divide' between the two disciplines. The Journal was created with the vision of making the impact of complex interactions and developments in technology more accessible to a wider audience. Retaining this initial focus, the JIT has gone on to extend into new and innovative areas of research such as the launch of JITTC in 2010. A high impact journal, JIT shall continue to publish leading trends based on significant research in the field.

Information systems (IS)/Information technology(IT) has become an essential part and a major resource of the organization. IS/IT is a major resource that can radically affect the structure of an organisation, the way it serves customers, and the way it helps people in organisations to communicate both internally and externally, and the way an organisation runs its business. Managing information and information systems effectively and efficiently have become an essential part of the life of 21st century managers. This book is about Managing information and information systems and focuses on relationships between information, information systems/information technology, people and business. The impacts, roles, risks, challenges as well as emerging trends of information systems will be an important element of the book. At the same time, many strategic and contemporary uses of information systems such as implementing enterprise planning systems for improving internal operation, adopting customer relationship management systems and supply chain management systems to enhance relations with customers and suppliers/partners respectively, and establishing knowledge management systems for better managing organizational knowledge resources as well as using different information systems for supporting managers' decision making in all levels will be an integral part of the book. In addition, essential and critical information systems management skills including using information systems for competitive advantages, planning and evaluating information systems, system development & implementing information systems, and managing information systems operations will be a critical part of the book.

This write-in workbook is an invaluable resource to help students improve their Maths and English skills and help prepare for Level 1 and Level 2 Functional Skills exams. The real-life questions are all written in a Plumbing context to help students find essential Maths and English theory understandable, engaging and achievable. Written by Gary Taylor, lecturer with a wealth of experience in the Construction Multi-Skills and Plumbing industries, this workbook is an effective resource to support Maths and English learning in the classroom, at work and for personal study at home.

The book deals with the management of information systems security and privacy, based on a model that covers technological, organizational and legal views. This is the basis for a focused and methodologically structured approach that presents "the big picture" of information systems security and privacy, while targeting managers and technical profiles. The book addresses principles in the background, regardless of a particular technology or organization. It enables a reader to suit these principles to an organization's needs and to implement them accordingly by using explicit procedures from the book. Additionally, the content is aligned with relevant standards and the latest trends. Scientists from social and technical sciences are supposed to find a framework for further research in this broad area, characterized by a complex interplay between human factors and technical issues.

This book provides a comprehensive introduction to blockchain and distributed ledger technology. Intended as an applied guide for hands-on practitioners, the book includes detailed examples and in-depth explanations of how to build and run a blockchain from scratch. Through its conceptual background and hands-on exercises, this book allows students, teachers and crypto enthusiasts to launch their first blockchain while assuming prior knowledge of the underlying technology. How do I build a blockchain? How do I mint a cryptocurrency? How do I write a smart contract? How do I launch an initial coin offering (ICO)? These are some of questions this book answers. Starting by outlining the beginnings and development of early cryptocurrencies, it provides the conceptual foundations required to engineer secure software that interacts with both public and private ledgers. The topics covered include consensus algorithms, mining and decentralization, and many more. "This is a one-of-a-kind book on Blockchain technology. The authors achieved the perfect balance between the breadth of topics and the depth of technical discussion. But the real gem is the set of carefully curated hands-on exercises that guide the reader through the process of building a Blockchain right from Chapter 1." Volodymyr Babich, Professor of Operations and Information Management, McDonough School of Business, Georgetown University "An excellent introduction of DLT technology for a non-technical audience. The book is replete with examples and exercises, which greatly facilitate the learning of the underlying processes of blockchain technology for all, from students to entrepreneurs." Serguei Netessine, Dhirubhai Ambani Professor of Innovation and Entrepreneurship, The Wharton School, University of Pennsylvania "Whether you want to start from scratch or deepen your blockchain knowledge about the latest developments, this book is an essential reference. Through clear explanations and practical code examples, the authors take you on a progressive journey to discover the technology foundations and build your own blockchain. From an operations perspective, you can learn the principles behind the distributed ledger technology relevant for transitioning towards blockchain-enabled supply chains. Reading this book, you'll get inspired, be able to assess the applicability of blockchain to supply chain operations, and learn from best practices recognized in real-world examples." Ralf W. Seifert, Professor of Technology and Operations Management at EPFL and Professor of Operations Management at IMD

This book aims to provide new approaches to analysing and thinking about how entrepreneurial ecosystems develop and evolve over time as well as shed light on the relatively unexplored area of entrepreneurship ecosystem dynamics. The concept of entrepreneurial ecosystems has emerged as a framework to understand the nature of places in which entrepreneurial activity flourishes. Time is fundamental to the analysis of the dynamics of an entrepreneurial ecosystem. New firm creation, survival, growth and demise all occur within a temporal context that is, over and within time. Systems approaches to research invariably model the influential effects of the actors and elements that shape, re-shape, maintain, shift and change the system itself. An entrepreneurial ecosystem point of view, therefore, is inherently time-dependent and provides an analytical framework that reveals how the number and diversity of entrepreneurial actors situated in a place and time influence the creation of new firms, their survival, growth, and ultimately the stability of markets and industry in a time and place. Whether for better or worse, the historic and present time dimensions underpin the functioning and trajectory of entrepreneurial ecosystem performances and how they are shaped over time. Each chapter in this edited volume outlines a particular perspective and/or a unique case drawn from a range of countries that collectively reveal the dynamics of an ever-changing entrepreneurial ecosystem. The chapters were originally published as a special issue of the journal, Entrepreneurship and Regional Development.

This book focuses on the methodological treatment of UML/P and addresses three core topics of model-based software development: code generation, the systematic testing of programs using a model-based definition of test cases, and the evolutionary refactoring and transformation of models. For each of these topics, it first details the foundational concepts and techniques, and then presents their application with UML/P. This separation between basic principles and applications makes the content more accessible and allows the reader to transfer this knowledge directly to other model-based approaches and languages. After an introduction to the book and its primary goals in Chapter 1, Chapter 2 outlines an agile UML-based approach using UML/P as the primary development language for creating executable models, generating code from the models, designing test cases, and planning iterative evolution through refactoring. In the interest of completeness, Chapter 3 provides a brief summary of UML/P, which is used throughout the book. Next, Chapters 4 and 5 discuss core techniques for code generation, addressing the architecture of a code generator and methods for controlling it, as well as the suitability of UML/P notations for test or product code. Chapters 6 and 7 then discuss general concepts for testing software as well as the special features which arise due to the use of UML/P. Chapter 8 details test patterns to show how to use UML/P diagrams to define test cases and emphasizes in particular the use of functional tests for distributed and concurrent software systems. In closing, Chapters 9 and 10 examine techniques for transforming models and code and thus provide a solid foundation for refactoring as a type of transformation that preserves semantics. Overall, this book will be of great benefit for practical software development, for academic training in the field of Software Engineering, and for research in the area of model-based software development. Practitioners will learn how to use modern model-based techniques to improve the production of code and thus significantly increase quality. Students will find both important scientific basics as well as direct applications of the techniques presented. And last but not least, the book will offer scientists a comprehensive overview of the current state of development in the three core topics it covers.

* Proven, highly original career advice from an accomplished writer and entrepreneur * Unique lessons on life, creativity and professionalism that can be applied to establish and successfully operate an independent communications consultancy from anywhere in the world - or to leverage PR expertise in any personal or professional venture * Exclusive insights encapsulating all facets of business and the strategic communications skillset proven to underwrite success

Consumer co-operatives provide a different approach to organizing business through their ideals of member ownership and democratic practice. Every co-operative member has an equal vote regardless of his or her own personal capital investment. The co-operative movement can also be an important force in promoting development and self-sufficiency in poorer areas, particularly in non-industrialised countries. This book explores in depth the fortunes of the Berkeley Consumer Co-operative, which became the largest consumer co-operative in the United States with 116,000 members in 1984 and viewed nationally as a leader in innovative retail practices and a champion of consumer rights. The Berkeley Consumer Co-operative is promoted by both supporters and opponents of the co-operative business model as a significant example of what can go wrong with the co-operatives. This book will provide the first in depth analysis of the history of the Berkeley Co-operative using its substantial but little used archives and oral histories to explore what the Berkeley experience means for the co-operative business model. The specific chapters relating to Berkeley will be organised around particular themes to highlight the issues relating to the co-operative business model and the local context of Berkeley. The themes relate to developments in Berkeley and the Bay Area in terms of the economy, politics and the retail environment; the management of the Berkeley co-operative, looking at governance, financial management and strategic decisions; relationship of management with members and employees; and finally, the relationship of the Berkeley Co-operative with the community. The core message of the book is that it is not inevitable that consumer co-operatives fail, but that the story of Berkeley story can provide insights that can strengthen the co-operative business model and minimise failures on the scale of Berkeley occurring in the future.

Since the 1980s, governments have often sought to encourage entrepreneurship on the assumption that it creates small businesses which are the primary drivers of job creation. Largely because of this assumption, entrepreneurship has become a valid subject for academic research attracting extensive funding. Yet despite this explosion of scholarship, there is no accepted model of how entrepreneurship operates or even a commonly accepted definition of what it is. Simon Bridge posits that this is because entrepreneurship has been studied as if it were a deterministic science, based on the false assumption that it exists as a specific discrete identifiable phenomenon operating in accordance with consistent, predictable 'rules'. This challenging book contends that this misdirected search has produced more questions than answers. Accepting that entrepreneurship as we have conceived it does not exist could lead to new and valuable insights into what the different forms of entrepreneurship are and how they might be influenced. Scholars, advanced students and policy makers will find this a thought-provoking insight into the myths and misconceptions of 'entrepreneurship'.

In this book, Edosa explores common challenges which limit the value that organisations can get from data. What makes his book unique is that he also tackles one of the unspoken barriers to data adoption-fear. Fear of the unknown, fear of the intangible, fear of the investment needed and, yes, fear of losing your job to a machine. With his talent for distilling clarity from complexity, Edosa tackles this and many other challenges. -Tim Carmichael, Chief Data Officer, Chalhoub Group This book offers fresh insight about how to solve the interactional frictions that hamper the flow of data, information and knowledge across organisations. Yet, rather than being stuck with endless polarising debates such as breaking down silos, it shifts focus back towards the ultimate "to what end." -Jacky Wright, Chief Digital Officer (CDO), Microsoft US If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book. -Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when-at the end of a critical investment in an artificial intelligence project that had been meant to save money-it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer's production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.

* Unlike other books on differentiation strategy, goes into detailed, clear explanations of the underlying concepts and principles * Goes beyond general guidelines to provide actionable, 'how to' details to create a differentiation strategy * Based on a process with proven results for large clients in such industries as hospitality management