Research Handbook on Digital Data

‘This book puts digital data at the center of scholarly inquiry, and the result is a refreshing array of perspectives and approaches for dealing with the topic. A must-read for organizational researchers looking to go beyond the surface in exploring domains such as artificial intelligence, evidence-based decision making, digital platforms & infrastructures, and contemporary business models.’ – Nick Berente, University of Notre Dame, USA‘The Research Handbook on Digital Data offers a comprehensive account of how digital data both shape and are shaped by emerging infrastructures. 24 chapters by leading scholars explore the multifaceted character and implications of digital data, the practices through which it acquires meaning and is used and how it is governed.’ – Robin Williams, The University of Edinburgh, UK‘Turn data into value with contemporary information infrastructure like machine learning, neural networks, and digital twins. Balance privacy, governance, regulation, and organization in traditional or circular economies. A heady mix of insight and practical guidance.’ – John Leslie King, University of Michigan, USA

Edited by:

• Aleksi Aaltonen, Associate Professor of Information Systems, Stevens Institute of Technology
• Marta Stelmaszak, Assistant Professor of Information Systems, Isenberg School of Management, University of Massachusetts Amherst
• Kalle Lyytinen, The Iris S. Wolstein Professor of Management Design, Case Western Reserve University, USA