The Five Diamond Method for Explorative Business Process Management

Grisold, Thomas and Gross, Steven and Stelzl, Katharina and vom Brocke, Jan and Mendling, Jan ORCID: and Röglinger, Maximilian and Rosemann, Michael (2021) The Five Diamond Method for Explorative Business Process Management. Business & Information Systems Engineering. ISSN 1867-0202

Available under License Creative Commons: Attribution 4.0 International (CC BY 4.0).

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Explorative business process management (BPM) is attracting increasing interest in the literature and professional practice. Organizations have recognized that a focus on operational efficiency is no longer sufficient when disruptive forces can make the value proposition of entire processes obsolete. So far, however, research on how to create entirely new processes has remained largely conceptual, leaving it open how explorative BPM can be put into practice. Following the design science research paradigm and situational method engineering, we address this research gap by proposing a method called the Five Diamond Method. This method guides explorative BPM activities by supporting organizations in identifying opportunities from business and technology trends and integrating them into business processes with novel value propositions. The method is evaluated against literature-backed design objectives and competing artifacts, qualitative data gathered from BPM practitioners, as well as a pilot study and two real-world applications. This research provides two contributions. First, the Five Diamond Method broadens the scope of BPM by integrating prescriptive knowledge from innovation management. Second, the method supports capturing emerging opportunities arising from changing customer needs and digital technologies.

Item Type: Article
Additional Information: Open Access funding provided by Universität Liechtenstein.
Keywords: Business process management, Explorative BPM, Ambidextrous BPM, Innovation management, Digital technologies, Design science research, Situational method engineering
Divisions: Departments > Wirtschaftsinformatik u. Operations Mgmt > Data, Process and Knowledge Management > Mendling
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 11 Jun 2021 16:36
Last Modified: 11 Jun 2021 16:36
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