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Processpedia : an ecological environment for BPM stakeholders' collaboration

Rito Silva, Antonio & Rosemann, Michael (2012) Processpedia : an ecological environment for BPM stakeholders' collaboration. Business Process Management Journal, 18(1), pp. 20-42.

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Abstract

Purpose: The purpose of this paper is to clarify how end-users’ tacit knowledge can be captured and integrated in an overall business process management (BPM) approach. Current approaches to support stakeholders’ collaboration in the modelling of business processes envision an egalitarian environment where stakeholders interact in the same context, using the same languages and sharing the same perspectives on the business process. Therefore, such stakeholders have to collaborate in the context of process modelling using a language that some of them do not master, and have to integrate their various perspectives.

Design/methodology/approach: The paper applies the SECI knowledge management process to analyse the problems of traditional top-down BPM approaches and BPM collaborative modelling tools. Besides, the SECI model is also applied to Wikipedia, a successful Web 2.0-based knowledge management environment, to identify how tacit knowledge is captured in a bottom-up approach.

Findings – The paper identifies a set of requirements for a hybrid BPM approach, both top-down and bottom-up, and describes a new BPM method based on a stepwise discovery of knowledge.

Originality/value: This new approach, Processpedia, enhances collaborative modelling among stakeholders without enforcing egalitarianism. In Processpedia tacit knowledge is captured and standardised into the organisation’s business processes by fostering an ecological participation of all the stakeholders and capitalising on stakeholders’ distinctive characteristics.

Impact and interest:

6 citations in Scopus
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ID Code: 49572
Item Type: Journal Article
Keywords: Business process management, Collaborative modelling, Computer software, Knowledge management, Processpedia, Social software features
DOI: 10.1108/14637151211214993
ISSN: 1463-7154
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 10 Apr 2012 09:13
Last Modified: 10 Apr 2012 09:13

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