Towards a process selection method for embedded analytics

Tobias Bender ()
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Tobias Bender: University of St. Gallen

Information Systems and e-Business Management, 2024, vol. 22, issue 3, No 4, 525 pages

Abstract: Abstract Driven by technological progress, business analytics is gaining momentum while paving the path for next-generation business process management. Especially, embedded real-time analytics offers new opportunities for business process intelligence and value creation. However, there are several obstacles that organizations face in their adoption process. A key challenge is to identify business processes that are suitable for embedded analytics and hold relevant value potential. Our research addresses this need by introducing an exploratory BPM method, namely a process selection method. Applying action design research and situational method engineering, we iteratively built, used, evaluated, and refined the theory-ingrained method artifact. The method provides organizations with guidance in selecting operational business processes, for which a reengineering project should be initiated.

Keywords: Process selection method; Embedded analytics; Intelligent business processes; Explorative BPM; Action design research (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10257-024-00675-1

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