Digital Trace Data Research in Information Systems

Edited by Bastian Wurm () and Jan Mendling ()

in Progress in IS from Springer

Date: 2026
ISBN: 978-3-032-05497-5
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Chapters in this book:

Ch Chapter 1 Managing Digital Trace Data Research Projects

Bastian Wurm

Ch Chapter 10 Digital Trace Data as Measurement Instruments forVariance-Theoretic Research in Information Systems

Joschka Andreas Hüllmann

Ch Chapter 11 When Chatbots Meet Process Mining: Conversation Mining in the Era of Digital Trace Data

Christian Schuler, Dominik Hauser, Christoph Zehendner and Maren Gierlich-Joas

Ch Chapter 12 Using Digital Trace Data to Explore How Firm Interaction Shapes Online Community User Networks: An Exponential Random Graph Approach

Assia Lasfer and Emmanuelle Vaast

Ch Chapter 13 Leveraging Digital Trace Data in Teaching to Improve Students’ Technology Use and Well-Being

Martin Adam and Alexander Benlian

Ch Chapter 2 Digital Trace Data for Scientific Research: Some Observations and Recommendations

Gregory Vial

Ch Chapter 3 Building Research Programs in the Computationally Intensive Theory Construction Genre

Hani Safadi

Ch Chapter 4 From Digital Trace Data to Theory: Pathways Toward Theory Construction

Malmi Amadoru

Ch Chapter 5 Trace Methods: Probing the Apparatus

Carsten Østerlund and Corey B. Jackson

Ch Chapter 6 Understanding Temporal Aspects of Digital Trace Data with Visual Analytics

Christian Tominski, Wolfgang Aigner, Silvia Miksch and Heidrun Schumann

Ch Chapter 7 Encoding Techniques for Digital Trace Data

Sylvio Barbon Junior, Gabriel Marques Tavares, Rafael Seidi Oyamada and Paolo Ceravolo

Ch Chapter 8 Using Process Mining to Investigate Organizational Processes

Bastian Wurm, Jan Mendling and Brian T. Pentland

Ch Chapter 9 Digital Trace Data in Social Media Research: Constructing Opportunities and Contributions

Milad Mirbabaie and Jonas Rieskamp

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DOI: 10.1007/978-3-032-05497-5

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