Tang W, Matzner M (2020)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2020
Conference Proceedings Title: ICIS 2020 Proceedings
Event location: India
ISBN: 978-1-7336325-5-3
URI: https://aisel.aisnet.org/icis2020/is_workplace_fow/is_workplace_fow/16/
Process mining has emerged as a specific approach to data mining which leverages historical process data from process-aware information systems to derive insights and visual representations of an organisations business processes. It affords companies the ability to identify critical paths. Research has so far focused on analysing the instrumental value of process mining on firm performance and how to improve and extend this set of tools for more accurate and comprehensive predictions. However, humanistic outcomes of process mining usage (e.g., job satisfaction, workload) have largely been neglected. In this research-in-progress report, we analyse process mining from a sociotechnical perspective. We use work systems theory to conceptualise how process mining can be used to improve work conditions through the alignment of processes and employees within a work system.
APA:
Tang, W., & Matzner, M. (2020). Creating Humanistic Value with Process Mining for Improving Work Conditions - A Sociotechnical Perspective. In Association for Information Systems (Eds.), ICIS 2020 Proceedings. India.
MLA:
Tang, Willi, and Martin Matzner. "Creating Humanistic Value with Process Mining for Improving Work Conditions - A Sociotechnical Perspective." Proceedings of the Forty-First International Conference on Information Systems, India Ed. Association for Information Systems, 2020.
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