This book readdresses fundamental issues in knowledge management, leading to a new area of study: knowledge processes. McInerney 's and Day 's superb authors from various disciplines offer new and exciting views on knowledge acquisition, generation, sharing and management in a post-industrial environment. Their contributions discuss problems of knowledge acquisition, handling, and learning from a variety of perspectives.

This book closes the gap between information technologies and management decision making. It treats currently relevant topics in information technology--knowledge-based expert systems, graphic-user interface, fuzzy logic, neural networks, data storage, client server, and integration of heterogeneous databases--by using examples and, more importantly, by relating these methods to the needs of the decision maker by taking into account the individual's decision style. The authors provide a solid basis for determining how decision makers use and access information that becomes part of the design of information systems. Integrating the decision maker into the design results in a more intelligent information system because the focus is on the outcome rather than on the methodology or computer power used.

This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed issue in the field of data. This book considers the cost of non-compliance bringing in examples from different industries of instances in which companies failed to comply with rules, regulations, and other legal obligations, and goes on to explain how data governance helps in avoiding such pitfalls. The first in a three-volume series on data governance, this book does not assume any prior or specialist knowledge in data governance and will be highly beneficial for IT, management and law students, academics, information management and business professionals, and researchers to enhance their knowledge and get guidance in managing their own data governance projects from a governance and compliance perspective.

Within the digital era, agile working is imperative for organisations and workers to meet the needs of customers, service-users and ever-changing markets. This needs to be achieved whilst meeting goals of effectiveness and well-being. In this book, state-of-the-art theory is used to understand how to optimise agile working by addressing key issues around personality, team-working and management. The authors define the concept of agile working and unpack often-misunderstood terms associated with this, such as remote working and telework. The book explores the well-being consequences of agile work including sedentary behaviours, digital distraction, and digital resistance before offering insights for the future. Examining current practice in the context of established and emerging theory, the book paves the way towards further advances in the field and supports organisations seeking to make agile working work for them. Agile Working and Well-being in the Digital Age provides a valuable new resource for practitioners and scholars in the fields of occupational and organizational psychology, human resource management, organisational development, mental health and well-being.

This book examines the changing business and economic environment for postal services in Lithuania and the upcoming challenges for this industry. Postal services continue to play a central part in the development of national economies. However, the economic and social role of postal services has changed rapidly and fundamentally over the last two decades. In most industrialized countries, paper-based communications are in serious decline, while the demand for parcel delivery services is rising steadily with the continuing development of e-commerce, just-in-time production techniques, and global supply chains. For the postal sector as a whole, the centre of gravity has shifted dramatically from letters and documents to parcels. The authors explain how the organizational paradigm has inexorably shifted from that of a national, government-owned postal administration providing the basic delivery services required by society, to a system of interdependent local and regional undertakings that both compete and cooperate with one another. The book argues that there are no indications that the postal sector has stopped changing, and that it seems most probable that the European Union's postal sector will look quite different in 2035 than it does today. In closing, the book explains how the shareholders of postal services companies have recently confirmed that the time has come to rethink the strategy of creating and maintaining competitiveness in the postal services industry.

This book investigates the adoption of Information and Communication Technologies (ICTs) in Caribbean travel firms, particularly for sales and marketing purposes. By examining the decision-making process in tourism companies deciding whether to become more dependent on digital capabilities and artificial intelligence, this text seeks to understand the role of strategy and resources in technology adoption. Further, the author assesses the role of factors both external (such as culture) and internal (such as leadership) in this strategic process. Economies in the Caribbean are reliant on tourism to bring prosperity to the region, and with the onset of the COVID-19 pandemic, the industry is being forced to transform the way it operates. With implications for those studying organizational behavior as well as strategic and tourism management, this study analyzes rapid change in this pivotal industry.

Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book shows how digital transformation has the power to revolutionize the way procurement operates, and discusses how especially buyer decisions are empowered through artificial intelligence. Depending on a company's strategy all desired outcomes are possible, including doubling savings, innovation, sustainability, quality, speed, and halve the risk. Jumpstart to Digital Procurement is a hands-on guide on how companies can grasp the opportunities offered by digital transformation.

This book describes how manufacturing enterprises, by reinforcing their existing monitoring and control of manufacturing processes, can successfully face the ever-increasing pressure from internal and external environments to maintain their competitive advantage. Numerous performance measurement systems have been elaborated to satisfy these requirements, stressing the importance of financial and operational metrics. It also highlights the fact that research on generating and linking financial and operational metrics, especially in real-time, has not garnered sufficient attention to date. The book follows an approach that integrates enterprises across different levels and departments. By computing and linking the financial and operational metrics in real-time, the book demonstrates how to provide a comprehensive view of an entire enterprise.

"The worked examples and guided questions are invaluable, and are a particular strength of this text, as they help to prepare the students to tackle the practice questions. Having exam-style questions (at the end) is another very good feature of this book. All of the examples and questions use appropriate and relevant business-related scenarios... I am confident that this book will achieve the aim of helping A/AS Business students develop their maths skills and enhance their understanding of the subject." Michaela Cottee, Principal Lecturer in Statistics, Hertfordshire Business School. If you struggle with calculating profit or working out unit costs, this is the book for you. This textbook companion will help improve your essential maths skills for business, whichever awarding body specification you're following. You can use it throughout your course, whenever you feel you need some extra help. - Develop your understanding of both maths and business with all worked examples and questions within a business context - Improve your confidence with a step-by-step approach to every maths skill - Measure your progress with guided and non-guided questions to see how you're improving - Understand where you're going wrong with full worked solutions to every question - Feel confident in expert guidance from experienced teacher Charlotte Wright and Principal Examiner Mike Pickerden; reviewed by Dr Michaela Cottee, Principal Lecturer in Statistics at Hertfordshire Business School

Program debugging has always been a difficult and time-consuming task in the context of software development, where spectrum-based fault localization (SBFL) is one of the most widely studied families of techniques. While it's not particularly difficult to learn about the process and empirical performance of a particular SBFL technique from the available literature, researchers and practitioners aren't always familiar with the underlying theories. This book provides the first comprehensive guide to fundamental theories in SBFL, while also addressing some emerging challenges in this area. The theoretical framework introduced here reveals the intrinsic relations between various risk evaluation formulas, making it possible to construct a formula performance hierarchy. Further extensions of the framework provide a sufficient and necessary condition for a general maximal formula, as well as performance comparisons for hybrid SBFL methods. With regard to emerging challenges in SBFL, the book mainly covers the frequently encountered oracle problem in SBFL and introduces a metamorphic slice-based solution. In addition, it discusses the challenge of multiple-fault localization and presents cutting-edge approaches to overcoming it. SBFL is a widely studied research area with a massive amount of publications. Thus, it is essential that the software engineering community, especially those involved in program debugging, software maintenance and software quality assurance (including both newcomers and researchers who want to gain deeper insights) understand the most fundamental theories - which could also be very helpful to ensuring the healthy development of the field.

This book contains selected papers presented at the seventh Conference on Working Group 3.7 of the Internation Federation for Information Processing. The focus of Working Froup 3.7 is on ITEM: Information Technology in Educational Management. The event toook place in Hamamatsu, Japan, and enabled the exchange of findings and ideas between researchers in educational management and information technology, policy-makers in the field of education, developers of ITEM systems, and vendors. The overall goal of the conference was to demonstrate and explore directions for developing and improving all types of educational institutions through ITEM.

Contributions to this conference hailed from all over the world. The papers in this volume investigate how ITEM can support and improve educational practice at the level of instruction as well as at the institutional level, an analysis of the history of ITEM as a field of study and practice, results of researcdh on how training can promote the implementation of ITEM systems, and theoretical analyses of the conditions under which ITEM will have the strongest impact. Moreover, all sectors of educational systems (from schools to universities) are represented by the various chapters of this book.

The term "sustainability" has entered the lexicon of many academic disciplines and fields of professional practice, but to date does not appear to have been seriously consid ered within the systems community unless, perhaps, under other guises. Within the wider community there is no consensus around what sustainability means with some authors identifying 70 to 100 definitions of the term. Some see sustainability as the precise and quantifiable outcomes of biological systems whilst others see it in terms of processes rele vant to personal and organizational change with the potential to effect changes in our rela tionships with out environments. Internationally it has been increasingly used in relation to the term "sustainable development"--a term popularised by the Brundland Commis of definitions sion's report in 1987 entitled "Our Common Future. " Despite this diversity and polarised perception on its utility, unlike many other popular terms, it has not had its time and subsided quietly from our language. It is therefore timely for the systems com munity to explore the relationship between systems and sustainability in a range of con texts. Participants in this, the 5th International Conference of the United Kingdom Systems Society (UKSS), have been invited to reflect critically on the contribution of sys tems thinking and action to sustainability-to the sustainability of personal relationships, the organizations in which live and work, and our "natural" environment."

This open access book examines the implications of internal crowdsourcing (IC) in companies. Presenting an employee-oriented, cross-sector reference model for good IC practice, it discusses the core theoretical foundations, and offers guidelines for process-management and blueprints for the implementation of IC. Furthermore, it examines solutions for employee training and competence development based on crowdsourcing. As such, the book will appeal to scholars of management science, work studies, organizational and participation research and to readers interested in inclusive approaches for cooperative change management and the IT implications for IC platforms.

This book investigates the impact of information and communication technologies (ICTs) on development and well-being (beyond economic benefits) and highlights some emerging issues relating to the realities, constraints and digital divides with particular reference to India. It collects a series of novel contributions, studying the Indian experience in an international cross-country perspective. The book also discusses economic, social, and behavioural aspects of well-being as well as access to ICTs across regions, states and individuals to account for the digital divide. The book establishes an aggregate relationship between ICT exposure and well-being at the country level and addresses a number of fundamental issues, such as whether ICT raises the level of transparency and governance. Based on case studies and anecdotal evidence, it then further assesses the effective implementation of service delivery through ICT innovations. The book is divided into four parts: The introductory part surveys the literature and presents background information on the Indian case; introduces the main themes on the relationships between ICT, socio-economic development and digital divides; and provides a summary and roadmap to the chapters of the book. Part II focuses on the impact of ICT on economic performance, including economic growth, productivity and trade. Part III examines the extent of the digital divides in India, including international, regional as well as inter-personal inequality. Finally, Part IV investigates the impact of ICT on governance, users' well-being and social outcomes. Combining insights from analyses of a variety of socio-economic dimensions related to digitalisation, this book is relevant for a wide range of scholars and researchers across disciplines, as well as practitioners and policy-makers. While the book has a main focus on India, various contributions take an international cross-country comparative perspective, and the results have general relevance for digitalisation and development. On the whole, the main message of this book is that the impact of ICTs is contingent upon other assets, capabilities and institutional conditions. National policies should, therefore, not only promote digitalization as such but also ensure its co-evolution and complementarity with a variety of other country-specific factors. Chapter 'Digitalisation and Development: Issues for India and Beyond' of this book is available open access under a CC BY 4.0 license at link.springer.com

This book provides readers the "big picture" and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years. Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.

The impacts of the digital transformation on society in general, and particularly on people's lives, are the subject of increasing debate among policymakers, researchers and industry. This book explores the challenges of this new revolution, identifies solutions, and demonstrates how knowledge management can enable the transition process associated with the digital transformation, guided by the principles of sustainability. Featuring contributions by experts from diverse areas of science and business - on topics ranging from the digital transformation of knowledge management in the public sector, to the creation of sustainable smart cities, regions and countries, and from using AI for business models to food security - it provides a comprehensive discourse on the digital transformation's impacts on employment, education, governance, social life, sustainability, values, the economy and democracy.

The book discusses the opportunities and challenges of managing knowledge in the new reality of Industry 4.0. Addressing paradigmatic changes in value creation due to the development of digital technologies applied to manufacturing (additive manufacturing, IoT, robotics, etc.), it includes theoretical and empirical contributions on how Industry 4.0 technologies allow firms to create and exploit knowledge. The carefully selected expert contributions highlight the potential of these technologies in acquiring knowledge from a larger number of sources and examine approaches to innovation, organization of activities, and stakeholder development in the context of this next industrial revolution.

The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects-human behavior, data-centric science, and social design-independently and with regard to the relationships among them.

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

This book presents papers from the 5th International Conference on Smart Learning Ecosystems and Regional Development, which promotes discussions on R&D work, policies, case studies, entrepreneur experiences, with a particular focus on understanding the relevance of smart learning ecosystems for regional development and social innovation, and how the effectiveness of the relation of citizens and smart ecosystems can be boosted. The book explores how technology-mediated instruments can foster citizens' engagement with learning ecosystems and territories, providing insights into innovative human-centric design and development models/techniques, education/training practices, informal social learning, innovative citizen-driven policies, and technology-mediated experiences and their impact. As such, it will inspire the social innovation sectors and ICT, as well as economic development and deployment strategies and new policies for smarter proactive citizens.

This book is an outcome of the 35th International Conference EnviroInfo 2021, held at Humboldt University Berlin, organized by the technical committee for Environmental Informatics of the German Informatics Society. It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of environmental sustainability, promoted and facilitated by the use of information and communication technologies (ICT). The respective articles cover a broad range of scientific aspects including advances in core environmental informatics-related technologies such as earth observation, environmental modelling, big data and machine learning, robotics, smart agriculture and food solutions, renewable energy-based solutions, optimization of infrastructures, sustainable industrial processes and citizen science, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and energy supplies. A special focus lies on the question how environmental informatics can contribute to achieving the United Nations Sustainable Development Goals. Given its scope, the book is essential reading for scientists, experts and students in these fields of research.

Over the past decade, diverse organizations have been turning to open source software for their technological needs, in both internal processes management and public interaction. Turning the data generated by organizations ranging from universities to large corporations into usable information has plagued users for years, making open source solutions one of the primary goals of these institutions. Open Source Solutions for Knowledge Management and Technological Ecosystems addresses the issues surrounding the search for each organization's unique data management needs, defining the tools necessary to fulfill them within their technological ecosystem, along with the selection, interoperability, and integration of these tools. This book is ideal for managers, business professionals, software engineers, information technology professionals, and students of business and IT.

A unique core text that provides both a framework and roadmap for lecturers designing a teaching programme as well as the core text for them to use with their students Fully updated with a new chapter on climate change education, along with coverage of many rising topics such as risk and resilience, blockchain, AI, and social justice issues The roadmap can also be used by lecturers that need to embed Sustainable Development Goals into their teaching on a range of business and management programmes, including marketing, HR, Economics, Operations Management and financial reporting Supported by a teacher's manual and PowerPoint slides

This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.