Abstract
This paper investigates how firms configure their business process management efforts in different industries. We generate a business process management (BPM) skills taxonomy through the computational linguistic analysis of job ads from Monster.com. We apply the taxonomy to LinkedIn.com resumes of professionals employed at retailer Walmart, pharmaceutical company Pfizer, and investment bank Goldman Sachs. We find that Walmart and Pfizer distribute change- and operations-related BPM skills among the same roles whereas Goldman Sachs distributes both kinds of skills among more separate roles. This separation reflects a trilateral configuration where line managers and analysts focus on operational BPM tasks related to running processes while change-related tasks are covered by project managers. At Walmart and Pfizer the tasks of the BPM project manager are shared among managers and analysts, reflecting a bilateral configuration. Comparing each firm’s regulatory environments and BPM technology capabilities, we conjecture that the organizational configuration pattern is influenced by a firm’s ability to reliably automate business processes, since this affects how much attention line managers and analysts have to spend on monitoring processes and on reconciling issues and exceptions. This attention could otherwise be spent on regulatory-imposed process change efforts. This configural logic suggests a reconfiguration of BPM professionals towards a bilateral configuration when an organization transforms its business with digital technology, because the focus of such efforts includes process and decision automation.
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Notes
- 1.
A list of publications released can be provided by the authors on request.
- 2.
A list of high-probability words per topic can be provided by the authors on request.
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Lohmann, P., zur Muehlen, M. (2019). Regulatory Instability, Business Process Management Technology, and BPM Skill Configurations. In: Hildebrandt, T., van Dongen, B., Röglinger, M., Mendling, J. (eds) Business Process Management. BPM 2019. Lecture Notes in Computer Science(), vol 11675. Springer, Cham. https://doi.org/10.1007/978-3-030-26619-6_27
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