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.

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 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.

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.

"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"--

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 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.

The overall mission of this book is to provide a comprehensive understanding and coverage of the various theories and models used in IS research. Specifically, it aims to focus on the following key objectives: To describe the various theories and models applicable to studying IS/IT management issues. To outline and describe, for each of the various theories and models, independent and dependent constructs, reference discipline/originating area, originating author(s), seminal articles, level of analysis (i.e. firm, individual, industry) and links with other theories. To provide a critical review/meta-analysis of IS/IT management articles that have used a particular theory/model.To discuss how a theory can be used to better understand how information systems can be effectively deployed in today's digital world.

This book contributes to our understanding of a number of theories and models. The theoretical contribution of this book is that it analyzes and synthesizes the relevant literature in order to enhance knowledge of IS theories and models from various perspectives. To cater to the information needs of a diverse spectrum of readers, this book is structured into two volumes, with each volume further broken down into two sections.

The first section of Volume 1 presents detailed descriptions of a set of theories centered around the IS lifecycle, including the Success Model, Technology Acceptance Model, User Resistance Theories, and four others. The second section of Volume 1 contains strategic and economic theories, including a Resource-Based View, Theory of Slack Resources, Portfolio Theory, Discrepancy Theory Models, and eleven others.

The first section of Volume 2 concerns socio-psychological theories. These include Personal Construct Theory, Psychological Ownership, Transactive Memory, Language-Action Approach, and nine others. The second section of Volume 2 deals with methodological theories, including Critical Realism, Grounded Theory, Narrative Inquiry, Work System Method, and four others.

Together, these theories provide a rich tapestry of knowledge around the use of theory in IS research. Since most of these theories are from contributing disciplines, they provide a window into the world of external thought leadership."

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists' preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice

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.

This edited book provides a platform to bring together researchers, academia and industry collaborators to exchange their knowledge and work to develop better understanding about the scope of blockchain technology in business management applications of different sectors such as retail sector, supply chain and logistics, healthcare sector, manufacturing sector, judiciary, finance and government sector in terms of data quality and timeliness. The book presents original unpublished research papers on blockchain technology and business management on novel architectures, prototypes and case studies.

This book discusses understand cybersecurity management in decentralized finance (DeFi). It commences with introducing fundamentals of DeFi and cybersecurity to readers. It emphasizes on the importance of cybersecurity for decentralized finance by illustrating recent cyber breaches, attacks, and financial losses. The book delves into understanding cyber threats and adversaries who can exploit those threats. It advances with cybersecurity threat, vulnerability, and risk management in DeFi. The book helps readers understand cyber threat landscape comprising different threat categories for that can exploit different types of vulnerabilities identified in DeFi. It puts forward prominent threat modelling strategies by focusing on attackers, assets, and software. The book includes the popular blockchains that support DeFi include Ethereum, Binance Smart Chain, Solana, Cardano, Avalanche, Polygon, among others. With so much monetary value associated with all these technologies, the perpetrators are always lured to breach security by exploiting the vulnerabilities that exist in these technologies. For simplicity and clarity, all vulnerabilities are classified into different categories: arithmetic bugs, re-Entrancy attack, race conditions, exception handling, using a weak random generator, timestamp dependency, transaction-ordering dependence and front running, vulnerable libraries, wrong initial assumptions, denial of service, flash loan attacks, and vampire Since decentralized finance infrastructures are the worst affected by cyber-attacks, it is imperative to understand various security issues in different components of DeFi infrastructures and proposes measures to secure all components of DeFi infrastructures. It brings the detailed cybersecurity policies and strategies that can be used to secure financial institutions. Finally, the book provides recommendations to secure DeFi infrastructures from cyber-attacks.

Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today s business domain, decision making is becoming increasingly complex. To make a successful decision, managers SA about their business environments becomes a critical factor.

This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of this system are discussed."

Inquiring Organizations: Moving from Knowledge Management to Wisdom' assembles into one volume a comprehensive collection of the key current thinking regarding the use of C. West Churchman's Design of Inquiring Systems as a basis for computer-based inquiring systems design and implementation. Inquiring systems are systems that go beyond knowledge management to actively inquire about their environment. While self-adaptive is an appropriate adjective for inquiring systems, they are critically different from self-adapting systems as they have evolved in the fields of computer science or artificial intelligence. Inquiring systems draw on epistemology to guide knowledge creation and organizational learning. As such, we can for the first time ever, begin to entertain the notion of support for wise"" decision-making. Readers of ""Inquiring Organizations: Moving from Knowledge Management to Wisdom"" will gain an appreciation for the role that epistemology can play in the design of the next generation of knowledge management systems, systems that focus on supporting wise decision-making processes.

This book focuses on several issues in the essence of information systems and their development as well as advanced utilization of new information technology. This book includes both theoretical foundations and practical approaches for each topic and should prove useful both to scientists in the field of information system science and to practitioners in information systems development and use. Many of the topics treated here have not appeared in the literature, although they are becoming increasingly important in the development of information systems. Topics covered include: contingencies in IT decision making; intelligent executive information systems; dynamic performance evaluation of information systems; exception handling in information systems, metamethodology of information system development and mobile computing. The outstanding feature of the book is its specific mixture of subjects under one framework of thinking about information systems. The book offers new perspectives on topics which are important today and in the future due to the rapidly changing nature of information systems and information technology. A useful book to researchers and systems developers, the book can also form the basis of an advanced course in information systems development.

This book presents high-quality papers from the Third International Conference on Smart Computing and Informatics (SCI 2018 19), organized by the School of Computer Engineering and School of Computer Application, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, from 21 to 22 December 2018. It includes advanced and multi-disciplinary research on the design of smart computing and informatics, focusing on innovation paradigms in system knowledge, intelligence and sustainability that have the potential to provide realistic solutions to various problems in society, the environment and industry. The papers featured provide a valuable contribution to the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in varied disciplines of science, technology and health care.

Strategic alliances offer organisations an alternative to organic growth or acquisition when faced with the need to develop the business to a new level, innovate in terms of products or services or significantly reduce costs. The Strategic Alliance Handbook is a clear and complete guide to the nuts and bolts of the process behind successful collaborations. The book enables readers to understand the commercial, technical, strategic, cultural and operational logic behind any alliance and to establish an approach that is appropriate for the type of alliance they are seeking and the partner organisation(s) with whom they are working. Whether you are an alliance executive, responsible for the systems, strategy and performance of your organisation's alliancing programme or an alliance manager needing to ensure the success of a given partnership, The Strategic Alliance Handbook is an essential guide.

Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making the book a valuable reference for researchers, technical professionals, and students.

The overall mission of this book is to provide a comprehensive understanding and coverage of the various theories and models used in IS research. Specifically, it aims to focus on the following key objectives: To describe the various theories and models applicable to studying IS/IT management issues. To outline and describe, for each of the various theories and models, independent and dependent constructs, reference discipline/originating area, originating author(s), seminal articles, level of analysis (i.e. firm, individual, industry) and links with other theories. To provide a critical review/meta-analysis of IS/IT management articles that have used a particular theory/model.To discuss how a theory can be used to better understand how information systems can be effectively deployed in today's digital world.

This book contributes to our understanding of a number of theories and models. The theoretical contribution of this book is that it analyzes and synthesizes the relevant literature in order to enhance knowledge of IS theories and models from various perspectives. To cater to the information needs of a diverse spectrum of readers, this book is structured into two volumes, with each volume further broken down into two sections.

The first section of Volume 1 presents detailed descriptions of a set of theories centered around the IS lifecycle, including the Success Model, Technology Acceptance Model, User Resistance Theories, and four others. The second section of Volume 1 contains strategic and economic theories, including a Resource-Based View, Theory of Slack Resources, Portfolio Theory, Discrepancy Theory Models, and eleven others.

The first section of Volume 2 concerns socio-psychological theories. These include Personal Construct Theory, Psychological Ownership, Transactive Memory, Language-Action Approach, and nine others. The second section of Volume 2 deals with methodological theories, including Critical Realism, Grounded Theory, Narrative Inquiry, Work System Method, and four others.

Together, these theories provide a rich tapestry of knowledge around the use of theory in IS research. Since most of these theories are from contributing disciplines, they provide a window into the world of external thought leadership."