This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the digital era. The Handbook also discusses the difficulties of adopting a data science platform and how the public cloud can aid companies in overcoming these challenges.Exploring how industries rely on predictive analytics to improve their decision-making, this Handbook will be essential reading for students and scholars in business analytics, economics, information systems, innovation and technology, and research methods. It will also benefit data analysts, economists, human resource managers, marketers, neuroscientists, and social science researchers.

This Research Handbook provides comprehensive explanations and examples of theoretical frameworks and practical methods to support the design and conduct of high quality health information systems research.The Research Handbook brings together diverse disciplinary perspectives from an array of international expert contributors, including business and economics, engineering and public policy, psychology and sociology. It offers ways to inspect health information systems through different lenses, such as activity theory, affordance theory, cognitive-socio-technical theory, complexity theory, implementation science, and trust. It describes the use of specialised techniques in health information systems research, such as ethnography, patient journey mapping, participatory methods, process mining, and social media analysis.The Research Handbook on Health Information Systems is an indispensable resource for academics and students of information science and data science who have a particular interest in technological transformation of health care, digital health management, and health service innovation. Researchers in clinical fields, public health, health administration and health informatics will similarly benefit from this important resource.

This comprehensive Research Handbook provides international perspectives on the role of information systems in environmental sustainability, drawing on groundbreaking research from leading scholars to predict future trends.This Research Handbook presents in-depth studies on green information systems which utilise a diverse range of approaches and methods, including reviews of previous literature, experimental studies, surveys, and interviews. Chapters focus on the development and promotion of energy informatics, the use of digital technologies in the implementation of a circular economy, and the role of information systems in supporting the integration of renewable energy. This Research Handbook further analyses the ways in which digital nudging, demand response, and the impact of psychological ownership can influence consumer behaviour and encourage sustainable consumption. Tackling the issues facing information systems and the environment on an individual, organisational, and societal scale, this Research Handbook will be crucial reading for students and scholars in business ethics, environmental management, information systems, and management and sustainability. It will also be beneficial for practitioners in business management and corporate social responsibility who are interested in environmental sustainability.

This vital new Handbook brings together cutting-edge contributions from experts in Information Systems (IS) to explore how qualitative research can be undertaken in the IS discipline.The Handbook critically surveys contemporary trends in qualitative IS studies and offers detailed examples of how IS research methods can be taught. The leading group of contributors provide future-oriented analyses of key research methodologies, covering important topics such as the nature of theory and philosophy in qualitative IS research and new developments in the field. Engaging in an exploratory analysis of where opportunities for qualitative IS research might be heading, the Handbook concludes by identifying a need to consolidate existing research methodologies and develop new ones. The Handbook of Qualitative Research Methods for Information Systems will be beneficial for students studying areas such as information systems, qualitative research methods, research method innovation and knowledge management.

Many organizations are currently undertaking a digital transformation to improve their business processes and better achieve their goals. This Handbook provides a comprehensive overview of contemporary trends and research at the point where business process management and digital transformation meet. Presenting a multidisciplinary approach, it demonstrates the close link between these two fields through engagement with theory and practice.Bringing together a diverse set of carefully selected experts, the Handbook features both business and technical perspectives, covering important issues including the models for process design, structures and systems for process execution, process monitoring and analysis, and advanced application domains, highlighting the smart industry and healthcare application domains. Key concerns, techniques, and methods for the design and specification of business processes in the context of digital transformation are explored alongside the structures, architectures, and systems for the implementation of these processes. Ultimately, this Handbook provides the reader with a solid understanding of the state-of-the-art in these two domains.The Handbook on Business Process Management and Digital Transformation is an essential resource for scholars and students of business management, industrial engineering, information systems, management and sustainability, organizational innovation and behaviour, and technology and ICT. Business professionals and digital technology managers looking to better understand the overall importance of process-oriented digital transformation will equally find this to be a fundamental reference work.

This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the digital era. The Handbook also discusses the difficulties of adopting a data science platform and how the public cloud can aid companies in overcoming these challenges.Exploring how industries rely on predictive analytics to improve their decision-making, this Handbook will be essential reading for students and scholars in business analytics, economics, information systems, innovation and technology, and research methods. It will also benefit data analysts, economists, human resource managers, marketers, neuroscientists, and social science researchers.

This Research Handbook provides comprehensive explanations and examples of theoretical frameworks and practical methods to support the design and conduct of high quality health information systems research.The Research Handbook brings together diverse disciplinary perspectives from an array of international expert contributors, including business and economics, engineering and public policy, psychology and sociology. It offers ways to inspect health information systems through different lenses, such as activity theory, affordance theory, cognitive-socio-technical theory, complexity theory, implementation science, and trust. It describes the use of specialised techniques in health information systems research, such as ethnography, patient journey mapping, participatory methods, process mining, and social media analysis.The Research Handbook on Health Information Systems is an indispensable resource for academics and students of information science and data science who have a particular interest in technological transformation of health care, digital health management, and health service innovation. Researchers in clinical fields, public health, health administration and health informatics will similarly benefit from this important resource.

This comprehensive Research Handbook provides international perspectives on the role of information systems in environmental sustainability, drawing on groundbreaking research from leading scholars to predict future trends.This Research Handbook presents in-depth studies on green information systems which utilise a diverse range of approaches and methods, including reviews of previous literature, experimental studies, surveys, and interviews. Chapters focus on the development and promotion of energy informatics, the use of digital technologies in the implementation of a circular economy, and the role of information systems in supporting the integration of renewable energy. This Research Handbook further analyses the ways in which digital nudging, demand response, and the impact of psychological ownership can influence consumer behaviour and encourage sustainable consumption. Tackling the issues facing information systems and the environment on an individual, organisational, and societal scale, this Research Handbook will be crucial reading for students and scholars in business ethics, environmental management, information systems, and management and sustainability. It will also be beneficial for practitioners in business management and corporate social responsibility who are interested in environmental sustainability.

This vital new Handbook brings together cutting-edge contributions from experts in Information Systems (IS) to explore how qualitative research can be undertaken in the IS discipline.The Handbook critically surveys contemporary trends in qualitative IS studies and offers detailed examples of how IS research methods can be taught. The leading group of contributors provide future-oriented analyses of key research methodologies, covering important topics such as the nature of theory and philosophy in qualitative IS research and new developments in the field. Engaging in an exploratory analysis of where opportunities for qualitative IS research might be heading, the Handbook concludes by identifying a need to consolidate existing research methodologies and develop new ones. The Handbook of Qualitative Research Methods for Information Systems will be beneficial for students studying areas such as information systems, qualitative research methods, research method innovation and knowledge management.

Many organizations are currently undertaking a digital transformation to improve their business processes and better achieve their goals. This Handbook provides a comprehensive overview of contemporary trends and research at the point where business process management and digital transformation meet. Presenting a multidisciplinary approach, it demonstrates the close link between these two fields through engagement with theory and practice.Bringing together a diverse set of carefully selected experts, the Handbook features both business and technical perspectives, covering important issues including the models for process design, structures and systems for process execution, process monitoring and analysis, and advanced application domains, highlighting the smart industry and healthcare application domains. Key concerns, techniques, and methods for the design and specification of business processes in the context of digital transformation are explored alongside the structures, architectures, and systems for the implementation of these processes. Ultimately, this Handbook provides the reader with a solid understanding of the state-of-the-art in these two domains.The Handbook on Business Process Management and Digital Transformation is an essential resource for scholars and students of business management, industrial engineering, information systems, management and sustainability, organizational innovation and behaviour, and technology and ICT. Business professionals and digital technology managers looking to better understand the overall importance of process-oriented digital transformation will equally find this to be a fundamental reference work.