Investigating the role of business processes and knowledge management systems on performance: A multi-case study approach

Qing Cao, Mark A. Thompson, Jason Triche

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


In the ever-changing and competitive market place, organisations continuously need to improve their competitive advantage. One method to accomplish this is to form collaborative networks. Both knowledge management (KM) and KM systems play a pivotal role in the success of collaborative networks since information sharing and knowledge assets are so critical to the network. There has been a vast amount of research on KM systems but very little is known about how it affects individual and organisational performance. Drawing on the task-technology fit theory, in this study, we explore the fit or alignment between business process (task) and KM systems (technology) and its impact on KM systems utilisation based on multiple case studies. Subsequently, we investigate the impacts of both the task-technology fit and KM systems utilisation on individual and business performance. This paper contributes to the collaborative network/KM literature in several ways. First, it extends the task-technology fit theory to an important context of collaborative network/KM. Second, it replaces task with business process, which has the potential to help explain KM systems success on business performance. Third, the paper explores the positive impact of task-technology fit on KM system utilisation and business performance. Fourth and finally, the study provides insight into the future development of KM systems and how to better align them with managerial purposes.

Original languageEnglish
Pages (from-to)5565-5575
Number of pages11
JournalInternational Journal of Production Research
Issue number18
StatePublished - Sep 1 2013


  • business performance
  • business process
  • collaborative network
  • knowledge management
  • knowledge management systems
  • task-technology fit


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