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|Title:||A framework for the improvement of knowledge-intensive business processes|
|Source:||Business Process Management Journal, 2007, vol. 13, no. 2, p. 279-305 How to cite?|
|Journal:||Business Process Management Journal|
|Abstract:||Purpose – This paper aims to present research into the improvement of knowledge-intensive business processes.|
Design/methodology/approach – A literature review is conducted that indicates that a gap exists in the area of knowledge-based business process improvement (KBPI). Sir Karl Popper’s theory of objective knowledge is used as a conceptual basis for the design of a business process improvement (BPI) framework. Case studies are conducted to evaluate and further evolve the improvement framework in two different organisations.
Findings – Highlights the gap in the literature. Draws attention to the merits of KBPI. Reports on the design of an improvement framework for knowledge-intensive business processes, and on the lessons learned from the conducted case studies.
Research limitations/implications – Practical and time constraints limit the scope of the case studies. General applicability can be inferred, but not tested, due to the small number of case studies.
Practical implications – A new practical way to achieve performance improvement, that utilises structured tools on intangible organisational assets. The framework can be applied by organisations that run knowledge-intensive business processes.tested, due to the small number of case studies.
Originality/value – This paper addresses a gap in the area of KBPI. It combines concepts from business process management with a robust theory of knowledge to design a practical improvement framework. The paper also contains interesting argumentation supporting the use of Karl Popper’s epistemology in BPI and knowledge management.
|Rights:||Business Process Management Journal © 2007 Emerald Group Publishing Limited.|
|Appears in Collections:||Journal/Magazine Article|
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|A Framework for Knowledge-based improvementof business processes SUBMIT 2.pdf||Pre-published version||410.05 kB||Adobe PDF||View/Open|
Citations as of Jan 14, 2017
Checked on Jan 22, 2017
Checked on Jan 22, 2017
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