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 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 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.

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.

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.

This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.

"There are currently 3.5 billion mobile phones in the world and mobile information technologies permeate all aspects of life. This book explores how mobile technologies and information work shape each other. Most writings do not consider how information work increasingly relies on mobile services; this book seeks to address this imbalance"--

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.

This book constitutes the refereed proceedings of the 8th European Lean Educator Conference ELEC 2022, which took place in Galway, Ireland, in November 2022; the event was sponsored by IFIP WG 5.7. The 28 full papers presented were carefully reviewed and selected for inclusion in the proceedings. They are organized in the following thematic sections: Lean & People; Lean in Healthcare; Lean 4.0; Lean in Manufacturing; Lean Learning in the Digital Era; Lean, Green & Sustainability; and Lean in Services.

Public Management Information Systems provides public administrators with a map of the key actors and processes they need to be aware of if they are to be successful in making IT decisions in the public sector. This is the first single-authored book to focus on the key processes faced by managers in governmental organizations, including planning, purchasing, training and learning, politics, accountability, ethics, best practices, and evaluation. ""Public Management Information Systems"" features practical examples drawn from governmental organizations, combined with a comprehensive synthesis of research from both public and private sectors. This book also identifies key concepts and offers review questions and practical exercises to give public administration learners direction in furthering their knowledge in this key area of management.

This proceedings volume explores the disruptive effect of COVID19 pandemic on business leaders and managers. It covers the sweeping changes experienced by all sectors of work and business along with core functional verticals. As organizations institutionalize lessons learned through trial and error, an effort is required to document these efforts. The volume is an amalgamation of papers presented papers at the International Management Conference, 2021 hosted at KIIT University, India in February 2021. The thrust of this conference was to gather a holistic picture of the lessons derived during the pandemic hardship. Selected papers provide readers with an idea of the new normal in various domains of management across industries and organizations. Research papers, from each functional areas of business management, give focus on experiences and best practices.

This book focuses on the implications of digitalisation in the mobility service industry. Based on an analysis of more than 450 survey responses, it explores and assesses mobility in the age of digitalisation. The content covers both changes in the relationship between the company and its customers and a potential paradigm shift among leading companies. The findings suggest that a shift from traditional mobility management to a more customer-centred management perspective is both widely accepted and increasingly necessary. Nevertheless, the inclusion of services that are not primarily concerned with overcoming spatial distances is considered to be less attractive. Given its scope, the book will be of interest to researchers and professionals who are involved in digitalisation in the mobility service industry.

This proceedings volume highlights cutting-edge approaches for contemporary issues evolved in strategic marketing and the integration of theory and practice. It focuses on strategic research and innovative activities in marketing that can be used in everyday operations. The contributions have been divided into eight sections, grouping emerging marketing technologies together in a close examination of practices, problems and trends. The first section examines management challenges which influence societies, cultures, networks, organizations, teams, and individuals. It emphasizes ways business processes foster innovation and facilitate management transitions from dominant structures to more evolutionary, developmental paradigms. The second section discusses the benefits and guidelines to implementation of green marketing strategies. The following section pursues new perspectives of the role of location in marketing and its impact on consumer well-being. The next section explores the impacts of user generated content (UGC) on marketing theories and practice, which is followed by a section identifying how market-based assets can contribute to a sustainable competitive advantage. The sixth section covers understanding consumer perception to make marketing decisions. The final sections promote the use of business informatics and modeling in marketing and also the development of integrating information management in ways that change how people use information to engage in knowledge focused activities. The papers from the proceedings of the 6th International Conference on Strategic Innovative Marketing (IC-SIM 2017) have been written by scientists, researchers, practitioners and students that demonstrate a special orientation in strategic marketing, all of whom aspire to be ahead of the curve based on the pillars of innovation. This proceedings volume shares their recent contributions to the field and showcases their exchange of insights on strategic issues in the science of innovation marketing.

This book explores the employment of market mechanisms for data-interactive innovations. Based on the concept of innovators' marketplaces the book introduces a new concept of 'data jackets' to enable analysis of what kind of data exist, where they are located, and what kind of information they hold, even if the contents of data cannot be made publicly available.The book presents the concept of a marketplace for data in the case of data-interactive innovations. It introduces the marketplace as a platform for value-based exchange of data and - based on the idea of the innovators' marketplace - explains how data jackets can be utilized independently from the actual contents of the data. Specific chapters deepen the understanding of variables, constraints and intentions as constituent parts of data jackets, and the extension to variable quest, a process towards the design of data. A number of case studies showcases how the methods and processes presented can be employed in real-life contexts. Finally the authors present some extensions of the concept for web-based IMDJ and connections to business information system and an outlook.

This book examines the recent evolution of the concept of data as an economic and managerial phenomenon. The author first describes and discusses open data and then introduces the concept of linked data, with a focus on assets for reuse. Furthermore, he addresses the main challenges of big data. Value is identified as the main incentive for the adoption of linked data; accordingly, the next two chapters study sources of data value from a macroeconomic and micro economic perspective, respectively. This contributes to the systematization of important issues at the crossroads of enterprise data and data sharing: data ownership, personal data, and data privacy. In turn, the book reveals the role of innovation as a main vehicle for creating value by unifying big, open, and linked data. It studies the ways in which value can be created, transferred, and captured in the form of business models, before the closing chapter verifies the data unification model by combining open and linked geographical data with big data from a major telecom company.

Design Science Research is a powerful paradigm enabling researchers to make important contributions to society and industry. Simply stated, the goal of DSR is to generate knowledge on how to find innovative solutions to important problems in the form of models, methods, constructs and instantiations. Over the past 20 years, the design science research (DSR) paradigm has developed into an established paradigm in Information Systems Research and it is of strong uptake in many other disciplines, including Management Science and Computer Science. This book provides a collection of twelve DSR cases, presented by experienced researchers in the field. It offers readers access to real-world DSR studies, together with the authors' reflections on their research processes. These cases will support researchers who want to engage in DSR, and represent a valuable addition to existing introductions to DSR methods and processes. Readers will learn from the hands-on experiences of respected experts who have conducted extensive DSR in a range of application contexts.