An impressive collection of the latest cutting-edge work in the dynamic field of intellectual capital. Experts from around the world discuss the current state of affairs from a variety of perspectives, providing a cross-disciplinary view of the field. All contributors presented their research at the top global conference in this field - the World Congress on Intellectual Capital. The underlying theme of the book is to explain how an organization can identify, measure, manage, leverage and act upon its collective intelligence towards the pursuit of sustainable innovation. The book is divided into three main parts which first establish a foundation of literature, then examine various measurement approaches and finally conclude with a variety of applications."This collection of papers from the conference is special for its seminal research, strategic visions, and thought-provoking discussions. Make sure this book has a place in your library!"Dr. Jac Fitz-enz, Founder and Chairman, Saratoga Institute

Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. * Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) * Tips on using data to predict customer purchasing behavior based on past performance * Using customer data and marketing analytics to predict when customers will purchase certain items * Information on how data collected can help with merchandise planning * Breaking down customers into segments for easier market targeting * Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights.

As global enterprise grows increasingly reliant on electronic data, processes, and procedures, studies of the management of organizational knowledge are emerging at the forefront of critical research. Current Issues in Knowledge Management combines cutting-edge research on the cultural, technical, organizational, and human issues surrounding the creation, capture, transfer, and use of knowledge in today's organizations. Providing foremost information on topics such as organizational memory, knowledge management in enterprises, enablers and inhibitors of knowledge sharing and transfer, and emerging technologies of knowledge management, this estimable reference offers vital research information to practitioners and scholars in a variety of settings.

This book comprises a set of papers selected from those presented at the fifth " International Conference on Enterprise Information Systems ", (ICEIS'2003) held in Angers, France, from 23 to 26 April 2003. The conference was organised by Ecole Superieure d'Electronique de l'Ouest (ESEO) of Angers, France and the Escola Superior de Tecnologia of Setubal, Portugal. Since its first edition in 1999, ICEIS focuses on real world applications and aims at bringing together researchers, engineers and practitioners interested in the advances and business applications of information systems. As in previous years, ICEIS'2003 held four simultaneous tracks covering different aspects of enterprise computing: Databases and Information Systems Integration, Artificial Intelligence and Decision Support Systems, Information Systems Analysis and Specification and Software Agents and Internet Computing. Although ICEIS'2003 received 546 paper submissions from over 50 countries, only 80 were accepted as full papers and presented in 30-minutes oral presentations. With an acceptance rate of 15%, these numbers demonstrate the intention of preserving a high quality forum for future editions of this conference. From the articles accepted as long papers for the conference, only 32 were selected for inclusion in this book Additional keynote lectures, tutorials and industrial sessions were also held during ICEIS'2003, and, for the first time this year, the 1st Doctoral Consortium on Enterprise Information Systems gave PhD students an opportunity to present their work to an international audience of experts in the field of information systems.

How might one determine if a financial institution is taking risk in a balanced and productive manner? A powerful tool to address this question is economic capital, which is a model-based measure of the amount of equity that an entity must hold to satisfactorily offset its risk-generating activities. This book, with a particular focus on the credit-risk dimension, pragmatically explores real-world economic-capital methodologies and applications. It begins with the thorny practical issues surrounding the construction of an (industrial-strength) credit-risk economic-capital model, defensibly determining its parameters, and ensuring its efficient implementation. It then broadens its gaze to examine various critical applications and extensions of economic capital; these include loan pricing, the computation of loan impairments, and stress testing. Along the way, typically working from first principles, various possible modelling choices and related concepts are examined. The end result is a useful reference for students and practitioners wishing to learn more about a centrally important financial-management device.

Since the advent of electronic commerce, and the increasing sophistication of the information systems used in business organizations, control and security have become key management issues.
This is a comprehensive review of these issues written for the business reader. It includes coverage of recent developments in e-commerce, as well as the more traditional systems. The text is intended for any manager whose work depends on financial or other business information. It includes case studies, summaries and review questions, making it ideal as a source text for students of business studies at postgraduate or advanced level.

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.

Topics covered include: The fundamentals of business process modeling, including workflow patterns, an in-depth treatment of process flexibility, including approaches to dealing with on-the-fly changes, unexpected exceptions, and constraint-based processes, Technological aspects of a modern BPM environment, including its architecture, process design environment, process engine, resource handler and other support services, a comparative insight into current approaches to business process modeling and execution such as BPMN, EPCs, BPEL, jBPM, OpenWFE, and Enhydra Shark, process mining, verification, integration and configuration; and case studies in health care and screen business.

This book provides a comprehensive treatment of the field of Business Process Management (BPM) with a focus on Business Process Automation. It achieves this by covering a wide range of topics, both introductory and advanced, illustrated through and grounded in the YAWL (Yet Another Workflow Language) language and corresponding open-source support environment. In doing so it provides the reader with a deep, timeless, and vendor-independent understanding of the essential ingredients of business process automation.

The BPM field is in a continual state of flux and is subject to both the ongoing proposal of new standards and the introduction of new tools and technology. Its fundamentals however are relatively stable and this book aims to equip the reader with both a thorough understanding of them and the ability to apply them to better understand, assess and utilize new developments in the BPM field.

As a consequence of its topic-based format and the inclusion of a broad range of exercises, the book is eminently suitable for use in tertiary education, both at the undergraduate and the postgraduate level, for students of computer science and information systems. BPM researchers and practitioners will also find it a valuable resource. The book serves as a unique reference to a varied and comprehensive collection of topics that are relevant to the business process life-cycle.

While theories on learning organizations' and knowledge-based companies' have recently emerged, little attention has yet been given either to the underlying structures of these developments, or to the link between these underlying structures and the resources available to manage them. Organizational Learning and Knowledge Technologies in a Dynamic Environment attempts to fill this gap. It thus presents practical and concrete ways for companies to be adaptable and flexible whilst operating effectively and efficiently. Underlying concepts and insights into flexible management and chaotic market behavior are translated into a pragmatic approach to knowledge management within companies, using the latest technology. Corporate knowledge is increasingly proving to be not only an important resource, but possibly unique in its sustainability. Managing knowledge as a resource, as well as managing learning as the process which creates that resource, can only be done using appropriate information technologies. The foundational concepts discussed emerge from such fields as neurobiology, cognitive sciences, physics, and organizational theory. These are applied to management and substantiated with examples. New developments in knowledge management, such as connectionist approaches, are outlined and illustrated with real cases. The author further describes an approach for developing knowledge networks in companies. The annex offers readers with an advanced interest in the matter an epistemological discussion on scientific methods for management research and touches in a broader sense on the measurability of management processes.

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.

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 provides the latest models, methods and guidelines for networked enterprises to enhance their competitiveness and move towards innovative high performance and agile industrial systems.In the new global market, competitiveness and economic growth rely greatly on the move toward innovative high performance industrial systems and agile networked enterprises through the creation and consolidation of non-hierarchical manufacturing networks of multi-national SMEs as opposed to networks based on powerful large-scale companies. Network performance can be significantly improved through more harmonious and equitable peer-to-peer inter-enterprise relationships, conforming decentralized and collaborative decision-making models.Traditional hierarchical manufacturing networks are based on centralized models, where some of the actors involved must adapt themselves to the constraints defined by those who are most dominant. Real-world experiences of such models have revealed some major problems due to the centralized vision of the supply chain and the sub-optimal performance of centralized decision-making. For the current highly dynamic markets, this generates major inefficiencies in operation throughout the supply chain.This book collects the latest research regarding non-hierarchical manufacturing networks and provides enterprises with valuable models, methods and guidelines to improve their competitiveness.

This book covers sustainable development in smart society's 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

Managerial and information systems professionals and consultants are interested in any new system that will help make their jobs easier as well as facilitate the needs of their customers. ""Optimal Knowledge Management: Wisdom Management Systems Concepts and Applications"" focuses on the essentials of knowledge management, business intelligence, and smart business systems. This publication highlights the shortcomings of past information systems and what can be gained from implementation of the newer systems not only for the company, but also its customers, trading partners, employees, financial institutions, as well as other interested parties. This book takes an innovative and dramatic approach to the development and implementation of information systems. Not only does ""Optimal Knowledge Management: Wisdom Management Systems Concepts and Applications"" explore a holistic approach to exploring an organization's opportunities and solving its problems, it also highlights connecting points of wisdom.

The purpose of the 7th International Conference on Enterprise Information Systems (ICEIS) was to bring together researchers, engineers and practitioners interested in the advances and business applications of information systems. Five simultaneous tracks have been held, covering different aspects of Enterprise Information Systems Applications, including Enterprise Database Technology, Systems Integration, Artificial Intelligence, Decision Support Systems, Information Systems Analysis and Specification, Internet Computing, Electronic Commerce and Human Factors. ICEIS focuses on real world applications: therefore authors were asked to highlight the benefits of Information Technology for industry and services. During the conference, there was an interesting debate on how to solve business problems, using IT. Papers included in the book are the best papers presented at the ICEIS 2005 conference.

On Time Technology Implementation presents technology implementation guidelines and lessons learned from over 30 years of successful, hands-on project experience.

Innovations and developments in technology have laid the foundations for an economy based on digital goods and services-the digital economy. This book invites students and practitioners, to take an in-depth look at the impact that technological innovations such as social media, cryptocurrencies, crowdsourcing, and even online gaming is having on today's business landscape. Learn about the various business models available for the digital economy, including the business models used by Bitcoin, Spotify, Wikipedia, World of Warcraft, Facebook, and Airbnb. This book details the evolution of contemporary economics within the digital stratosphere and highlights the complex ecosystem that makes up the field of digital economics. The foundational text with case studies is also peppered with anecdotes on the various technological innovations which have shaped markets throughout history. The authors provide several models and tools that are essential for analysis, as well as activities that will allow the reader to reflect, analyze, and apply the knowledge and tools presented in each chapter. Introduction to Digital Economics is a definitive guide to the complexities and nuances of this burgeoning and fascinating field of study.

'IT in Business: A Manager's Casebook' examines the impact of new IT initiatives from the business angle. The case material is derived from the year's best research projects from three leading UK Business Schools - Bath, Cranfield and Warwick.

This incisive exploration of managing processes in IT companies is essential reading for IT managers in 'end-user' businesses who have to deliver strong business benefits from IT. In a climate of rapid and continual change, such contemporary information is invaluable.
'IT in Business: A Manager's Casebook' tackles managerial issues using specific case studies such as Tesco, Johnsons News Limited and the Department of Health to illustrate these points.
David Targett is the Professor of Information Management at Imperial College Management School, University of London. For eight years, 1990-98, he was the Professor of Information Systems and Director of the Centre for Research into Strategic Information Systems (CRSIS) at the University of Bath. Previously, he was at the London Business School and before becoming an academic he was an industrial engineer in the motor industry.
David Grimshaw is Senior Lecturer in Information Systems at Cranfield School of Management and was previously at the University of Leeds and Warwick Business School, University of Warwick. He has wide teaching experience and has taught in Australia, Hong Kong, Malaysia, Portugal, Russia and Singapore. He has ten years' practical experience in information systems and as an independent consultant has advised many companies on strategic information systems planning and on geographical information systems.
Philip Powell is Professor of Information Systemsat Goldsmiths College, University of London. Prior to this he was Reader in Information Systems and ICAEW Academic Fellow in the Operational Research and Systems Group, and Director of the Information Systems Research Unit at Warwick Business School. Before becoming an academic he worked in insurance, accounting and computing. He has taught in Southampton, Australia and Portugal and held a number of other posts overseas.
Includes projects from three of the leading business schools - Bath, Cranfield, and Warwick
Full of case studies from organizations such as Amtrak and Unilever
Provides up-to-the-minute information on what real-life developments and initiatives that are developing in this area

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.

This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications. The papers in the predictive analytics applications section discuss web analytics, email marketing, customer churn prediction, retail analytics and sports analytics. The section on machine learning applications then examines healthcare analytics, insurance analytics and machine analytics using different innovative machine learning techniques. Human resource analytics addresses important issues relating to talent acquisition and employability using analytics, while a paper in the section on operations analytics describe an innovative application in oil and gas industry. The papers in the analytics in finance part discuss the use of analytical tools in banking and commodity markets, and lastly the econometric applications part presents interesting banking and insurance applications.

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.

1) This is a comprehensive book on creative industries in India. 2) The book contains essays with recent data and multiple crucial case studies from across India. 3) This book will be of interest to departments of development studies, South Asian studies and cultural studies across UK.

Over the past 20 years, the field of information systems has grown dramatically in theoretical diversity and global reach. This growth is reflected in the language that policy makers and organizational stakeholders use when they talk about their IT plans. As information technology penetrates further into organizational and global life, it becomes ever more important to articulate assumptions embedded in the discourse. This will help to clarify the complex and yet conceptually improvised or pasted-up worldview that becomes embodied in systems. The assumptions point to particular domains of discourse. The discourse sets up conventions and boundaries. It thus shapes what can or cannot legitimately be talked about, researched, addressed, or solved within the scope of IT.

A number of practical and theoretical topics are discussed in detail, including:
*Globalization, development, and space;
*Mobilization of power;
*ERP systems;
*IS planning and projects;
*Critical research and the study of discourse;
*Public institutions;
*Analytical frameworks.

This book contains the selected proceedings of the Working Conference on Global and Organizational Discourse About Information Technology, sponsored by the International Federation for Information Processing (IFIP) and held in Barcelona, Spain in December 2002.

The Fourteenth Edition of Practical Business Math Procedures provides students with an engaging and personalized way to learn, leading to success in the classroom and beyond. Respected authors Jeffrey Slater and Sharon Wittry incorporate examples from The Wall Street Journal and Kiplinger throughout the entirety of the text to reinforce real-world application of business math. Every chapter concludes with the "My Money" exercises, which encourage students to apply the chapter material to their personal finances while utilizing the Internet's many resources. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

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.