This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use. The book examines topics such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned. The contributions for this book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS).

Cultural proximity consists in shared language, codes ,and norms of communication and exchange between actors. It is generally considered important for organizations, enhancing communication and facilitation interaction between actors. In such situation, diversity is often seen as a source of richness and originality. However, high levels of proximity might create some risk, leading to lock-in and inertia, with a negative impact on the innovativeness of the organization. While the role of cultural proximity is subject to much debate within organizations studies, a comprehensive understanding of cultural proximity remains elusive. This book explores the organizational implications of the concept of cultural proximity, delving into the managerial challenges posed by diversities and similarities in culture within a business environment using different levels of analysis. The key messages of the present book, grounded on original empirical evidence, can be summarized as follows: cultural proximity is a key factor for managing innovation in present times; innovation requires a deliberate orchestration of the dichotomy between cultural proximity/cultural diversity; there are specific circumstances where proximity can be beneficial for managers and entrepreneurs. The book will be of value to researchers, academics, managers, and students in the fields of management science, human resource management, innovation studies, and organizational studies.

What do vehicle manufacturers like Rosenbauer, logistics companies like DB Schenker, a compressor manufacturer such as Bauer, an elevator manufacturer such as ThyssenKrupp, and a hygiene goods manufacturer like Hagleitner all have in common? They all use the potential of digitization to offer smarter and faster services to customers and to actively shape the digital transformation of their business models. This book provides valuable insights with concise and established guidelines for the successful digital transformation of business models. Professionals in management, strategic planning, business development, as well as researchers and students from the fields of innovation/technology management, strategic management, and entrepreneurship would particularly benefit from this book.

This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses some fundamental big data problems and solutions in large scale distributed CPSs. The book then addresses the design and control challenges in multiple CPS domains such as vehicular system, smart city, smart building, and digital microfluidic biochips. This book also presents the recent advances and trends in the maritime simulation system and the flood defence system.

Financial markets are witnessing an unprecedented explosion in the availability of data, and the firms that survive will be able to leverage this information to increase their profit and expand their opportunities in a global world. Large firms must build their own datacenters to manage this data. In such an environment, the CIO s ability is crucial to lead an effective data strategy to capture, process, and connect data to all the relevant lines of business. At the core of this strategy lies the datacenter - the repository of all information. While there are books that discuss the mechanics, hardware and technicalities of datacenters, no book has yet made the connection between enterprise strategy and datacenter investment, design and management. Next Generation DataCenters in Financial Services is a solution driven book for management that demonstrates how to leverage technology to manage the seemingly infinite amount of data available today. Each chapter offers cutting-edge management and technology solutions to effectively manage data through datacenters.
Presents cutting-edge technology solutions not available in one place until now
Includes step-by-step instructions on how to implement a datacenter strategy based on the author s recent success with Wachovia s datacenter
Demonstrates how business and IT can be aligned in financial services"

Quality Management for IT Services: Perspectives on Business and Process Performance aims to reduce this knowledge gap and to encourage people to spend more time researching the numerous facets of this increasingly important aspect of commercial value adding. Featuring economic and social perspectives along with implementation and practical solutions, this book gives both scientists and practical experts an insight into the many different facets of IT service quality management.

Society's growing dependence on information technology for survival has elevated the importance of controlling and evaluating information systems. A sound plan for auditing information systems and the technology that supports them is a necessity for organizations to improve the IS benefits and allow the organization to manage the risks associated with technology. Auditing Information Systems gives a global vision of auditing and control, exposing the major techniques and methods. It provides guidelines for auditing the crucial areas of IT--databases, security, maintenance, quality, and communications.

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 contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research. Following an introductory chapter that outlines the background of and developments in empirical software engineering over the last 50 years and provides an overview of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or design science); Data Collection, Production, and Analysis (highlighting approaches from e.g. data science, biometric measurement, and simulation-based studies); Knowledge Acquisition and Aggregation (highlighting literature research, threats to validity, and evidence aggregation); and Knowledge Transfer (discussing open science and knowledge transfer with industry). Empirical methods like experimentation have become a powerful means of advancing the field of software engineering by providing scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in their decision-making and learning processes. Thus the book is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences. Chapter 17 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The 1980s and 1990s saw a growing interest in research and practice in information systems design and development from a human-centred perspective. This is an interest that is accelerated by the increase in organizations in which the human resource provides the means to key competitive advantage. This work is a compilation of contributed chapters by researchers and practitioners addressing the relationships between human activity, organizational issues and technology.

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.

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 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.

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.

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.

Education and research in the field of information technology management can prove problematic without the proper resources and tools on the most relevant issues, trends, and advancements. Selected Readings on Information Technology Management: Contemporary Issues supplements course instruction and student research with quality chapters focused on key issues concerning the management and utilization of information technology. Containing over 30 chapters from authors across the globe, these selected readings in areas such as information systems, knowledge management, and IT governance depict the most relevant and important areas of classroom discussion within the categories of Fundamental Concepts and Theories; Development and Design Methodologies; Tools and Technologies; Application and Utilization; Critical Issues; and Emerging Trends.

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

Technology is constantly changing the way enterprises conduct business by optimizing current practices. As information technology continues to evolve and become a prevalent feature in day-to-day activities within organizations, it has become necessary to manage these technologies in order to meet the strategic objectives of an organization. Strategic IT Governance and Alignment in Business Settings investigates emergent research methodologies involving the application of information technology in organizations. Focusing on best practices, implementation issues, and empirical research within the field, this book is ideally suited for researchers, academics, students, and practitioners interested in the governance, strategy, architecture, and management of information systems.

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.

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.

Human, Social, and Organizational Aspects of Health Information Systems offers an evidence-based management approach to issues associated with the human and social aspects of designing, developing, implementing, and maintaining health information systems across a healthcare organization - specific to an individual, team, organizational, system, and international perspective. Integrating knowledge from multiple levels, this book will benefit scholars and practitioners from the medical information, health service management, information technology arenas.

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.

Education and research in the field of strategic information technology can prove problematic without the proper resources and tools on the most relevant issues, trends, and advancements. Selected Readings on Strategic Information Systems supplements course instruction and student research with quality chapters focused on key issues concerning information technology in support of the strategic management of organizations. Containing over 30 chapters from authors across the globe, these selected readings in areas such as decision science, enterprise resource planning, and knowledge management depict the most relevant and important areas of classroom discussion within the categories of Fundamental Concepts and Theories; Development and Design Methodologies; Tools and Technologies; Application and Utilization; Critical Issues; and Emerging Trends.

Healthcare Information Systems and Informatics: Research and Practices compiles estimable knowledge on the research of information systems and informatics applications in the healthcare industry. This book addresses organizational issues, including technology adoption, diffusion, and acceptance, as well as cost benefits and cost effectiveness, of advancing health information systems and informatics applications as innovative forms of investment in healthcare. Rapidly changing technology and the complexity of its applications make this book an invaluable resource to researchers and practitioners in the healthcare fields.

This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices. One of the book's central themes is the interplay between human reasoning and machine logic in the context of organizational functioning, specifically, the fairly common situations in which subjective beliefs are pitted against objective evidence giving rise to conflict rather than enhancing the quality of organizational sensemaking. Aiming to not only raise the awareness of the potential challenges but also to offer solutions, the book delineates and discusses the core impediments to effective human-information technology interactions, and outlines strategies for overcoming those obstacles on the way to enhancing the efficacy of organizational decision-making.