Bastian Wurm is an assistant professor and research group leader at the Institute for Digital Management and New Media at LMU Munich School of Management. His group investigates various topics related to process and algorithmic management. His dissertation entitled “Organizational Complexity: Insights from Digital Trace Data Research” was awarded the Stephan Koren-Award for outstanding dissertations by WU Vienna.Jan Mendling is the Einstein Professor of Process Science at Humboldt University, Berlin, Germany, and adjunct professor with Vienna University of Economics and Business, Austria, Principle Investigator at the Weizenbaum Institute, Berlin, and Co-Founder of Noreja Intelligence GmbH. His research interests include business process management and information systems. He has published more than 500 research papers and articles. He is one of the founding editors-in-chief of Process Science and Chair of the Steering Committee of the International Conference on Business Process Management.

• 1. Introduction.- Part 1: Foundations.- 2. Research Management for Digital Trace Data Research Project.- 3. Navigating the Meanders of the Digital Trace Data Research Process: Some Observations and Recommendations.- 4. Building Research Programs in the Computationally Intensive Theory Construction Genre.- 5. From Digital Trace Data to Theory: Pathways towards Theory Construction.- Part 2: Methods.- 6. Trace Methods: Probing the Apparatus.- 7. Visual Analytics.- 8. Encoding Techniques for Digital Traca Data.- 9. Process Mining.- 10. Text Mining.- 11. Digital Traces as Measurement Instruments for Variance-Theoretic Research in Information Systems.- Part 3: Applications.- 12. When Chatbots meet Process Mining: Conversation Mining in the Era of Digital Trace Data.- 13. The Role of Firm Interaction in Shaping Online Community User Networks.- 14. Leveraging Digital Trace Data in Teaching for Improving Students’ Technology Use and Well-Being.

Bastian Wurm is an assistant professor and research group leader at the Institute for Digital Management and New Media at LMU Munich School of Management. His group investigates various topics related to process and algorithmic management. His dissertation entitled “Organizational Complexity: Insights from Digital Trace Data Research” was awarded the Stephan Koren-Award for outstanding dissertations by WU Vienna.Jan Mendling is the Einstein Professor of Process Science at Humboldt University, Berlin, Germany, and adjunct professor with Vienna University of Economics and Business, Austria, Principle Investigator at the Weizenbaum Institute, Berlin, and Co-Founder of Noreja Intelligence GmbH. His research interests include business process management and information systems. He has published more than 500 research papers and articles. He is one of the founding editors-in-chief of Process Science and Chair of the Steering Committee of the International Conference on Business Process Management.

• 1. Introduction.- Part 1: Foundations.- 2. Research Management for Digital Trace Data Research Project.- 3. Navigating the Meanders of the Digital Trace Data Research Process: Some Observations and Recommendations.- 4. Building Research Programs in the Computationally Intensive Theory Construction Genre.- 5. From Digital Trace Data to Theory: Pathways towards Theory Construction.- Part 2: Methods.- 6. Trace Methods: Probing the Apparatus.- 7. Visual Analytics.- 8. Encoding Techniques for Digital Traca Data.- 9. Process Mining.- 10. Text Mining.- 11. Digital Traces as Measurement Instruments for Variance-Theoretic Research in Information Systems.- Part 3: Applications.- 12. When Chatbots meet Process Mining: Conversation Mining in the Era of Digital Trace Data.- 13. The Role of Firm Interaction in Shaping Online Community User Networks.- 14. Leveraging Digital Trace Data in Teaching for Improving Students’ Technology Use and Well-Being.

Bastian Wurm is an assistant professor and research group leader at the Institute for Digital Management and New Media at LMU Munich School of Management. His group investigates various topics related to process and algorithmic management. His dissertation entitled “Organizational Complexity: Insights from Digital Trace Data Research” was awarded the Stephan Koren-Award for outstanding dissertations by WU Vienna.Jan Mendling is the Einstein Professor of Process Science at Humboldt University, Berlin, Germany, and adjunct professor with Vienna University of Economics and Business, Austria, Principle Investigator at the Weizenbaum Institute, Berlin, and Co-Founder of Noreja Intelligence GmbH. His research interests include business process management and information systems. He has published more than 500 research papers and articles. He is one of the founding editors-in-chief of Process Science and Chair of the Steering Committee of the International Conference on Business Process Management.

• 1. Introduction.- Part 1: Foundations.- 2. Research Management for Digital Trace Data Research Project.- 3. Navigating the Meanders of the Digital Trace Data Research Process: Some Observations and Recommendations.- 4. Building Research Programs in the Computationally Intensive Theory Construction Genre.- 5. From Digital Trace Data to Theory: Pathways towards Theory Construction.- Part 2: Methods.- 6. Trace Methods: Probing the Apparatus.- 7. Visual Analytics.- 8. Encoding Techniques for Digital Traca Data.- 9. Process Mining.- 10. Text Mining.- 11. Digital Traces as Measurement Instruments for Variance-Theoretic Research in Information Systems.- Part 3: Applications.- 12. When Chatbots meet Process Mining: Conversation Mining in the Era of Digital Trace Data.- 13. The Role of Firm Interaction in Shaping Online Community User Networks.- 14. Leveraging Digital Trace Data in Teaching for Improving Students’ Technology Use and Well-Being.