Multi-level Team Assignment in Social Business Processes: An Algorithm and Simulation Study

Rong Liu (), Akhil Kumar () and Juhnyoung Lee ()
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Rong Liu: Stevens Institute of Technology
Akhil Kumar: Penn State University
Juhnyoung Lee: Seegene

Information Systems Frontiers, 2022, vol. 24, issue 6, No 11, 1949-1969

Abstract: Abstract Business Process Management (BPM) systems usually neglect the human and social aspects (or team effects) involved in business process execution. Our work fills a large gap in literature by addressing multi-level teams that arise in business processes where teams are formed at both the task and process levels. In this paper, we develop a methodology called BPMTeams based on social network analysis for building an execution model for a social BPM. This model is used to make resource assignments to form dynamic teams that perform various team-based activities in a process. We further develop various resource assignment strategies and evaluate them using parameters estimated from a real data set in the IT incident management domain to understand how team effects play out in social business processes. The overall team effect in a process is analyzed at two levels: as a task team effect where the synergistic role of a team in a specific task is realized; and a process team effect that arises from inter-team synergies across the individual task teams in a process. The results offer some balanced insights for the interplay of these effects by highlighting the benefits and disadvantages of teams selected by a purely data-driven approach.

Keywords: Social business process; Socio-technical network; Social BPM; Social network metrics; Task team effect; Process team effect; Incident resolution; Resource assignment; Data-driven approach (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10796-021-10211-y

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