Abstract
AbstractBusiness Process Management and Routine Dynamics are two streams of research that both explore process. To this end, Business Process Management has developed a rich array of methods that can be used to analyze digital trace data. Routine Dynamics has put less emphasis on the analysis of digital trace data, but it has advanced a methodological approach that promotes discovery, i.e., the process that actors perform and experience as they develop novel insights. This paper argues that the analysis of digital trace data can promote the process of discovery. It uses heatmapping as a specific example to show how analyzing digital trace data can promote discovery. The paper thus emphasizes a specific way how Business Process Management and Routine Dynamics can fertilize each other.
Highlights
Routine Dynamics (RD) is a stream of research that takes a processual perspective on organizational routines [1, 2], and focuses on the role of repetitive action patterns in organizations
Business Process Management provides a rich array of methods that can be used to analyze digital trace data, whereas Routine Dynamics can contribute a methodological orientation towards discovery
This paper suggests that there is ample potential for research on Business Process Management and Routine Dynamics to learn from each other
Summary
Organizational processes have gained vast attention by scholars in different scientific fields. Routine Dynamics (RD) is a stream of research that takes a processual perspective on organizational routines [1, 2], and focuses on the role of repetitive action patterns in organizations. While the analysis of digital trace data plays a role in RD research [10], most scholars in this domain have conducted ethnographic studies These ethnographic studies typically follow a process of discovery [11–13]. Business Process Management provides a rich array of methods that can be used to analyze digital trace data, whereas Routine Dynamics can contribute a methodological orientation towards discovery. Higher values can take darker colors while lower values take lighter colors In this vein, heatmaps can visualize patterns in the data and facilitate the discovery process of the researcher. The aim of this paper is not to produce novel insights into organizational processes, but to illustrate how the analysis of digital trace can promote discovery
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