Marta Stelmaszak – författare

This Research Handbook explores the function and impact of digital data on various spheres of organizational and social life. It examines essential research across disciplines, including management, sociology, and economics, establishing a foundational understanding of the increasing importance of digital data in contemporary society.By situating its chapters within the layers of a digital data stack, this unique Research Handbook not only offers a variety of diverse perspectives and approaches, but it also provides a structure for cumulative insight. Leading scholars analyse and interpret the creation, governance, and utilization of data, covering key topics such as machine learning, data heterogeneity, temporal fragilities in data sharing, and blockchain finance. Ultimately, this Research Handbook highlights how the kaleidoscopic nature of digital data gives rise to multiple competing realities, making it a reference point for future scholarship.The Research Handbook on Digital Data is an essential read for scholars and students of information systems, management, science and technology studies, sociology of technology, public policy, and data governance. It is also of benefit to practitioners in data-intensive fields seeking conceptual clarity and practical insight into the complexities of working with digital data.

This Research Handbook explores the function and impact of digital data on various spheres of organizational and social life. It examines essential research across disciplines, including management, sociology, and economics, establishing a foundational understanding of the increasing importance of digital data in contemporary society.By situating its chapters within the layers of a digital data stack, this unique Research Handbook not only offers a variety of diverse perspectives and approaches, but it also provides a structure for cumulative insight. Leading scholars analyse and interpret the creation, governance, and utilization of data, covering key topics such as machine learning, data heterogeneity, temporal fragilities in data sharing, and blockchain finance. Ultimately, this Research Handbook highlights how the kaleidoscopic nature of digital data gives rise to multiple competing realities, making it a reference point for future scholarship.The Research Handbook on Digital Data is an essential read for scholars and students of information systems, management, science and technology studies, sociology of technology, public policy, and data governance. It is also of benefit to practitioners in data-intensive fields seeking conceptual clarity and practical insight into the complexities of working with digital data.

This Research Handbook explores the function and impact of digital data on various spheres of organizational and social life. It examines essential research across disciplines, including management, sociology, and economics, establishing a foundational understanding of the increasing importance of digital data in contemporary society.By situating its chapters within the layers of a digital data stack, this unique Research Handbook not only offers a variety of diverse perspectives and approaches, but it also provides a structure for cumulative insight. Leading scholars analyse and interpret the creation, governance, and utilization of data, covering key topics such as machine learning, data heterogeneity, temporal fragilities in data sharing, and blockchain finance. Ultimately, this Research Handbook highlights how the kaleidoscopic nature of digital data gives rise to multiple competing realities, making it a reference point for future scholarship.The Research Handbook on Digital Data is an essential read for scholars and students of information systems, management, science and technology studies, sociology of technology, public policy, and data governance. It is also of benefit to practitioners in data-intensive fields seeking conceptual clarity and practical insight into the complexities of working with digital data.

Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making. Bringing together cutting-edge scholarship on the many issues and complexities surrounding the use of AI in decision making for organizations, this enlightening Research Handbook illustrates how technology is intertwined with organizational processes and outcomes. Contributors examine human-AI collaboration in welfare services, responsible AI governance, AI systems in medical imaging, and the ethical implications of AI use in practice. Furthermore, the editors propose an integrative framework for decision making in organizations that encompasses making decisions about AI, with AI, and the implications of decisions made by AI. The Research Handbook will be essential reading for students, academics and researchers in business analytics, information systems, organizational innovation, organizational behavior, and organizational and occupational psychology. It will also be a valuable resource for business managers and AI engineers.