Digital transformation and the new logics of business process management
By Abayomi Baiyere, Hannu Salmela, Tommi J. Tapanainen. European Journal of Information Systems, 2020
378 citations recorded by the source corpus.
ABSTRACT Business process management (BPM) research emphasises three important logics – modelling (process), infrastructural alignment (infrastructure) and procedural actor (agency) logics. These logics capture the dominant ways of thinking in BPM, reflected in its assumptions, practices and values. While the three logics have proven useful in prior contexts, we argue that the applicability of these underlying assumptions in theorising BPM needs to be re-examined in the context of digital transformation. Based on an ethnographic study of BPM in a company undergoing digital transformation, we uncover tensions related to applying these prior logics that point to the need to update the underlying assumptions. Consequently, we propose new logics that we conceptualise as light touch processes (process), infrastructural flexibility (infrastructure) and mindful actors (agency). Our observations contribute to a rethinking of the dominant BPM logics by unpacking their dynamics in the context of digital transformation. Our study further highlight salient differences between digital transformation and IT-enabled organisational transformation contexts. We conclude by proposing new managerial approaches for BPM in digital transformation contexts.
Subfields: Management Information Systems, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/bce1601bdf767b65776e596878ee47ff61b3d6df
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In Management Information Systems
In Management of Technology and Innovation
Citations in the corpus
- Unpacking the Difference Between Digital Transformation and IT-Enabled Organizational Transformation (2021, methodology): “Unless we move beyond a solely strategic perspective and acknowledge the interplay between strategic and other viewpoints (e.g., the organizational lens), we are unlikely to make much progress in understanding what is new about DT (see also Baiyere et al., 2020; Hinings et al., 2018).”