This book describes a conceptual management system derived from the Business and Technology Relationship Model (BTRM). The BTRM describes the relationship between business and technology and provides simple definitions for service quality, alignment, agility, and governance. It explains our problems with traditional methods, democratizes the management and governance of enterprise technologies, and is suitable for introducing process automation. This book describes in detail how the BTRM, combined with a focus on value creation and value delivery, will enable continuous change, in the context of current, emerging and future technologies. It illustrates the potential for real-time insight and control not previously considered and provides a wide range of information to plan an implementation, understand where AI can be applied, and its importance in the world of self-managing systems. The topic of this book is particularly relevant for business managers, business technology managers and technology service providers.

This handbook distils the wealth of expertise and knowledge from a large community of researchers and industrial practitioners in Software Product Lines (SPLs) gained through extensive and rigorous theoretical, empirical, and applied research. It is a timely compilation of well-established and cutting-edge approaches that can be leveraged by those facing the prevailing and daunting challenge of re-engineering their systems into SPLs. The selection of chapters provides readers with a wide and diverse perspective that reflects the complementary and varied expertise of the chapter authors. This perspective covers the re-engineering processes, from planning to execution. SPLs are families of systems that share common assets, allowing a disciplined software reuse. The adoption of SPL practices has shown to enable significant technical and economic benefits for the companies that employ them. However, successful SPLs rarely start from scratch, but instead, they usually start from a set of existing systems that must undergo well-defined re-engineering processes to unleash new levels of productivity and competitiveness. Practitioners will benefit from the lessons learned by the community, captured in the array of methodological and technological alternatives presented in the chapters of the handbook, and will gain the confidence for undertaking their own re-engineering challenges. Researchers and educators will find a valuable single-entry point to quickly become familiar with the state-of-the-art on the topic and the open research opportunities; including undergraduate, graduate students, and R&D engineers who want to have a comprehensive understanding of techniques in reverse engineering and re-engineering of variability-rich software systems.

Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management's awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.

This book discusses theoretically and empirically the trade-off relationship between the frequency of product adaptation activities and the constraints on development resources, and how companies can respond to these constraints. The objective of this book is to identify effective management practices in continuous product development. With the continuation of development activities, companies are required to constantly adapt their products to changes in the external environment. In continuous product development, the development process extends beyond product release, and interaction with the external environment is not limited to the planning stage but occurs multiple times throughout the process. What impact does the multiple adaptation activities have on the product performance as development activities become more continuous, and how to use limited development resources to provide stable and constant high-quality adaptation activities with optimal frequency have become urgent issues in the development sites. To address these research questions, this book focuses primarily on the development activities of the online game industry. The factors that bring about superior product performance are examined by combining case studies and questionnaire surveys on online game development projects. Furthermore, user community management is also discussed from the perspective of the interaction process between multiple user groups.

Artificial intelligence (AI) and platforms are closely related. Most investments in AI, especially in critical technologies, are provided by large platforms. This book describes how platforms invest in AI and how AI will impact the next generation of competences, following a twofold approach to do so: on the one hand, the book seeks to understand how platforms for investment in intangibles and AI are organized, but on the other hand, it provides a framework to describe how AI will change jobs and competences in the future. Moreover, the book addresses five main themes: 1. platforms, platformization, and the foundations of their business models; 2. artificial intelligence, technological tendencies, and the policy agenda; 3. artificial intelligence, productivity, and the next generation of competences; 4. artificial intelligence, productivity, and the digital divide; 5. artificial intelligence, ethics, and the post-truth society. The book's content is mostly based on papers presented at the last two installments of the World Conference on Intellectual Capital for Communities. It brings together the views of leading scholars and experts on how artificial intelligence and platformization will impact competences in the near future.

This book discusses the effect of global pandemic, Covid-19, on human resource and draws strategies with new job designing tools and techniques. It provides insights on how to develop new strategies for HR professionals in corporates and academicians. This book explores the implication of descriptive, predictive and prescriptive HR analytics practices for different functional domains and in different countries during COVID-19. It brings new dimensions of study in HR analytics which are sure to change after COVID-19 as it has affected the way people are going to work.

This book explores the possibility of integrating design thinking into today's technical contexts. Despite the popularity of design thinking in research and practice, this area is still too often treated in isolation without a clear, consistent connection to the world of software development. The book presents design thinking approaches and experiences that can facilitate the development of software-intensive products and services. It argues that design thinking and related software engineering practices, including requirements engineering and user-centric design (UX) approaches, are not mutually exclusive. Rather, they provide complementary methods and tools for designing software-intensive systems with a human-centric approach. Bringing together prominent experts and practitioners to share their insights, approaches and experiences, the book sheds new light on the specific interpretations and meanings of design thinking in various fields such as engineering, management, and information technology. As such, it provides a framework for professionals to demonstrate the potential of design thinking for software development, while offering academic researchers a roadmap for further research.

This book addresses the concept of organizing which is centered around collective learning and on the organization paradigm. It presents a theory of organizational learning based on a model of memory, explaining processes and dynamics through which memory is built and updated.

* Covers the entire new venture management process, from ideas to finance to HRM * Now includes international cases in all chapters * Offers a complete and contemporary business plan for students to follow * Includes material on the latest issues in entrepreneurship, such as equity crowdfunding and 'blitzscaling'

In Managing Telework, Jack Nilles illustrates that telework is undeniably the corporate wave of the future on a global level. Telework, or telecommuting, a term coined originally by Nilles, means basically moving the work to the worker instead of the other way around. Although there are both risks and opportunities involved in managing a virtual workforce, the opportunities usually far outweigh the risks. As Nilles explains, the key to a successful virtual workforce is making the best use of those opportunities through proper planning and the development of an appropriate management style. Management philosophy, style, and technique constitute the foundation of this indispensable resource.

Managing Telework provides crucial information on every part of the telecommuting process. Nilles first explores the issues of selecting the right type of telecommuter—candidates who are likely to be effective workers without the structured environment of the office—and how to find or make proper workplaces for an effective telecommuting program. He then goes on to discuss that central, often unspoken managerial fear of telecommuting: the threat of losing control. Nilles explains that leaders, not administrators, are the key players in successful telecommuting, and that leadership can be taught. There must also be a basis of trust between the worker and the manager, and constant, open communication.

Many other pressing topics are discussed in detail, such as how to select the best technology for your specific organization, how to navigate the formal rules and regulations of telecommuting (including union rules and zoning laws), how to measure results, and how to set up a home office. Plus, there is absolutely critical advice provided on other legal, corporate, and cultural issues. This step-by-step guidebook to telework is the only management resource you'll need for the future of business.

Learn how to get out of the office.

A step-by-step guide to managing a successful, efficient, and happy virtual workforce.

"There is no better guide to telework than Jack Nilles. His insights are of growing importance to managers and teleworkers at all levels and sectors of government, business, and industry." —William H. Dutton Professor, Annenberg School of Communication and School of Public Policy and Urban Development at the University of Southern California, and former national director of the UK's Programme on Information and Communication Technologies(PICT)

"From his twenty-five years of pioneering and perfecting telework, Jack Nilles defines the essential leadership philosophy of the successful telemanager and presents his time-tested techniques for Managing Telework. These pages are packed with top-notch expertise. I wouldn't be without it!" —David Fleming Fleming LTD

"In Managing Telework, Jack Nilles describes what managers and workers need to do to create successful telework programs and explains the benefits they can derive from this way of working." —Paul Gray Professor of Information Science, Claremont Graduate University

"Another milestone from the father of telecommuting; an essential reference and stimulation for the biggest change in work organization since Henry Ford." —Peter Johnston Directorate General XIII BI, Telecommunications, Information Market and Exploitation of Research, European Commission

"The success of any telecommuting program hinges on thoroughly training telemanagers and non-teleworkers as well as telecommuters themselves. Nilles presents his guidelines in a practical, straightforward manner. —Margaret A. Klayton-Mi, PhD Associate Professor of Business Administration, Mary Washington College

"A major transformation in the nature of work is in process. Jack Nilles, for years the foremost expert and visionary leader in the field of telecommuting, has written the definitive book on the subject. This is where the future begins. Don't miss it." —Burt Nanus Author, Visionary Leadership Professor Emeritus of Management, University of Southern California

As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, its more than 70 chapters approach decision support systems from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into 10 major sections: foundations of decision support systems, DSS fundamentals, multiparticipant DSSs, intelligent DSSs, effects of decision support, time and space issues, scopes of decision support, developing and managing decision support systems, cases and applications, and decision support horizons. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.

Analytics is changing the landscape of businesses across sectors globally. This has led to the stimulation of interest of scholars and practitioners worldwide in this domain. The emergence of 'big data', has fanned the usages of machine learning techniques and the acceptance of 'Analytics Enabled Decision Making'. This book provides a holistic theoretical perspective combined with the application of such theories by drawing on the experiences of industry professionals and academicians from around the world. The book discusses several paradigms including pattern mining, clustering, classification, and data analysis to name a few. The main objective of this book is to offer insight into the process of decision-making that is accelerated and made more precise with the help of analytics.

Social entrepreneurs are change makers that aim to solve society's unsolved problems. Not surprisingly, social entrepreneurship has thus created high expectations. To better understand the potential as well as the limitations of social entrepreneurship, however, a more nuanced approach is needed in two ways. First, social entrepreneurship is a multi-level phenomenon. It spans macro-level questions as well as meso-level questions and, finally, micro-level questions. If we really want to understand social entrepreneurship, we need to bring together all three levels of analysis and see how they are connected. Second, while social entrepreneurship can certainly produce socially desirable outcomes, we also need a critical perspective to capture potential undesirable effects that social entrepreneurship can cause, often unintendedly, in society, in markets, in organizations, and for individuals. To this end, an ethical perspective can help complement the positive analysis of social entrepreneurship with a discussion of the normative implications of its potential "dark side". Looking at social entrepreneurship from both a multi-level analysis and an ethical perspective, Social Entrepreneurship and Business Ethics takes the reader on a journey through the "bright side" as well as the potential "dark side" of social entrepreneurship for societies, organizations, and individuals. Highlighting both, this book not only seeks to provoke researchers and students to advance their understanding of social entrepreneurship. It also hopes to help practitioners to better realize the positive contributions of social entrepreneurship for society.

The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early "expert systems" to advanced deep learning networks. First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems. Compare the ways a machine can learn, and explore current leading ML algorithms Start with the right problems, and avoid common AI/ML project mistakes Use neural networks to automate decision-making and identify unexpected patterns Help neural networks learn more quickly and effectively Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications

This book trailblazes co-evolution approaches which have been prototyped and tried out by the authors, with global academic and practitioner backgrounds. It was devised to help humanity, people, perceived as complex adaptive systems, to self-organize, co-create, and manage complexity, by showcasing with own example, as individuals and open networks. The book bundles main components needed for facilitation in complexity, while each chapter covers conceptual solutions for specific complexity strategies, tactics, operations - projects. These solutions serve as blueprints and roadmaps, providing approaches for practitioners and researchers alike. The main features incorporated in all the approaches are transcending silos and organizational hierarchies toward a borderless collaboration between diverse stakeholders with dynamic roles and accountabilities regarding purposes, missions and solutions. The book includes suggestions for strategic, tactical and operational managerial and governance approaches for disruptive, short-term, innovative, open, large-scale engagements where rapid onboarding, situational awareness, innovation and innovation in context, and action are expected while fast facilitation, dynamic reconfiguration, and self-organization are required. It also describes how long-term sustained co-creative action needs to be facilitated, to adapt to external and internal complexity dynamics while initiating positive change. This book showcases how co-creation and co-dreaming emerge with co-evolution. Chapters 1, 2, and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Create a Business that Runs Itself Going from small business to successful startup to scalable growth takes more than just good luck, it takes a system. Over the last 34 years franchising consultant and growth expert Mark Siebert has been sought out by more than 70,000 executives looking to expanding their company. Out of those 70,000 only 5,000 had the right systems in place to go from successful to scalable. What do these companies have in common? 1. They are good at what they do. Being good at the core of your business that you continue to see a healthy return on your investment. 2. They have a system in place and a manual on hand. Their process is documented and routinely integrated into every aspect of their business, so if someone follows the system the business can virtually run itself.

This book celebrates the 10-year anniversary of Software Center (a collaboration between 18 European companies and five Swedish universities) by presenting some of the most impactful and relevant journal or conference papers that researchers in the center have published over the last decade. The book is organized around the five themes around which research in Software Center is organized, i.e. Continuous Delivery, Continuous Architecture, Metrics, Customer Data and Ecosystems Driven Development, and AI Engineering. The focus of the Continuous Delivery theme is to help companies to continuously build high quality products with the right degree of automation. The Continuous Architecture theme addresses challenges that arise when balancing the need for architectural quality and more agile ways of working with shorter development cycles. The Metrics theme studies and provides insight to understand, monitor and improve software processes, products and organizations. The fourth theme, Customer Data and Ecosystem Driven Development, helps companies make sense of the vast amounts of data that are continuously collected from products in the field. Eventually, the theme of AI Engineering addresses the challenge that many companies struggle with in terms of deploying machine- and deep-learning models in industrial contexts with production quality. Each theme has its own part in the book and each part has an introduction chapter and then a carefully selected reprint of the most important papers from that theme. This book mainly aims at researchers and advanced professionals in the areas of software engineering who would like to get an overview about the achievement made in various topics relevant for industrial large-scale software development and management - and to see how research benefits from a close cooperation between industry and academia.

Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems.This book presents a novel algorithm called glassoFCM to enable automatic learning of FCM models from data. Specifically, glassoFCM is a combination of two methods, glasso (a technique originated from machine learning) for data modeling and FCM simulation for decision making. The book outlines that glassoFCM elaborates simple, accurate, and more stable models that are easy to interpret and offer meaningful decisions. The research results presented are based on an investigation related to a real-world business intelligence problem to evaluate characteristics that influence employee work readiness.Finally, this book provides readers with a step-by-step guide of the 'fcm' package to execute and visualize their policies and decisions through the FCM simulation process.

The International Conference on Informatics and Management Science (IMS) 2012 will be held on November 16-19, 2012, in Chongqing, China, which is organized by Chongqing Normal University, Chongqing University, Shanghai Jiao Tong University, Nanyang Technological University, University of Michigan, Chongqing University of Arts and Sciences, and sponsored by National Natural Science Foundation of China (NSFC). Theobjective of IMS 2012 is to facilitate an exchange of information on best practices for the latest research advances in a range of areas. "Informatics and Management Science "contains over 600 contributions to suggest and inspire solutions and methods drawing from multiple disciplines including:

Computer Science

Communications and Electrical Engineering

Management Science

Service Science

Business Intelligence

Communications and Electrical Engineering

Management Science

Service Science

Business Intelligence

Management Science

Service Science

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Communications and Electrical Engineering

Management Science

Service Science

Business Intelligence

Management Science

Service Science

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Management Science

Service Science

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Business Intelligence"

This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance.

This book highlights the economic and social science perspectives in light of COVID-19. During 2020, leaders found themselves at historic crossroads, taking decisions under remarkable pressures and uncertainties. However, windows of opportunity are being created to shape the economic recovery, restore the health of the environment, develop sustainable business models, strengthen regional development, revitalize global cooperation, harness Industry 4.0, and redesign the social contracts, skills, and jobs. This book is an excellent resource for all those interested in economics and social sciences perspectives on digitalization and big data, especially in the light of the recent crisis determined by COVID-19. The chapters cover topics related to new models in entrepreneurship and innovation, sustainability and education, data science and digitalization, marketing and finance, etc., that will develop innovative instruments for countries, businesses, and education to revive after the crisis.

The public sector uses electronic data interchange (EDI) in areas such as the health sector, procurement, meat inspection, taxation, transportation, and the courts. Also, government encourages private sector to enhance their use of electronic communication to secure faster and more reliable exchange of data, to save manpower, and to enable organizational transformation to the information society. In EDI and Data Networking in the Public Sector authors from eight countries report on the modes of governmental intervention to stimulate the usage of EDI and the challenges facing government as they try to smoothen their own units via organizational management. With cases (a total of 14 chapters) from Singapore, Denmark, USA, Sweden, England, Australia, and the Netherlands, this book finds that government in some countries is ahead of the private sector in utilization of EDI and that government at both supranational, central and local levels are active players on the field. Local levels of government and the quasi-governmental organizations provide an important supplement to the efforts by central government to increase the overall usage of EDI. EDI and Data Networking in the Public Sector also indicates that the payoff from investments in EDI are slow to evolve. Dreams of quick return are not likely to emerge. Also, return of investments are highly linked to the organizations' ability to change their work processes along with the investments in EDI. The authors indicate that many public sector organizations lack the steam and vision necessarily to transform the government to a more technological based organization, where public procurement, taxation, medicine ordering etc. takes advantage ofthe potentials in EDI and data networking. EDI and Data Networking in the Public Sector will be of interest to all researchers and practitioners in MIS, Computer Science and International Trade working on the adoption of new technology.

This handbook collects the most up-to-date scholarship, knowledge, and new developments of big data and data analytics by bringing together many strands of contextual and disciplinary research. In recent times, while there has been considerable research in exploring the role of big data, data analytics, and textual analytics in accounting, and auditing, we still lack evidence on what kinds of best practices academics, practitioners, and organizations can implement and use. To achieve this aim, the handbook focuses on both conventional and contemporary issues facing by academics, practitioners, and organizations particularly when technology and business environments are changing faster than ever. All the chapters in this handbook provide both retrospective and contemporary views and commentaries by leading and knowledgeable scholars in the field, who offer unique insights on the changing role of accounting and auditing in today's data and analytics driven environment. Aimed at academics, practitioners, students, and consultants in the areas of accounting, auditing, and other business disciplines, the handbook provides high-level insight into the design, implementation, and working of big data and data analytics practices for all types of organizations worldwide. The leading scholars in the field provide critical evaluations and guidance on big data and data analytics by illustrating issues related to various sectors such as public, private, not-for-profit, and social enterprises. The handbook's content will be highly desirable and accessible to accounting and non-accounting audiences across the globe.

This book systematically and integrally introduces the new security management theories and methods in the e-commerce environment. Based on the perspective of dynamic governance of the whole process, starting from the theoretical framework, this book analyzes the gap between the current situation and requirements of security management, defines its nature, function, object and system, and designs and constructs the whole process security management organization and operation system of e-commerce. It focuses on the core and most prominent risk control links (i.e. security impact factors) in e-commerce security, including e-commerce information and network security risk, e-commerce transaction risk, e-commerce credit risk, e-commerce personnel risk, etc. Then, the tools and methods for identifying and controlling various risks are described in detail, at the same time, management decision-making and coordination are integrated into the risk management. Finally, a closed loop of self-optimization is established by a continuous optimization evolution path of e-commerce security management.