Accepted Chapters – Digital Trace Data Research in Information Systems: Foundations, Methods, and Applications

Part 1: Foundations

Gregory Vial: Digital trace data for scientific research: Some observations and recommendations

Hani Safadi: Building Research Programs in the Computationally Intensive Theory Construction Genre

Part 2: Methods

Sylvio Barbon Junior et al.: Encoding Techniques for Digital Traca Data

Bastian Wurm and Jan Mendling: Using Process Mining to investigate organizational processes

Joschka Hüllmann: Digital Trace Data as Measurement Instruments for Variance-Theoretic Research in Information Systems

Part 3: Applications

Christian Schuler et al.: When Chatbots meet Process Mining: Conversation Mining in the Era of Digital Trace Data

Assia Lasfer and Emma Vaast: Using Digital Trace Data to Explore How Firm Interaction Shapes Online Community User Networks: An Exponential Random Graph Approach

Martin Adam and Alexander Benlian: Leveraging Digital Trace Data in Teaching for Improving Students’ Technology Use and Well-Being