Knowledge intensive business processes: A process-technology fit perspective

Uday Kulkarni, Minu Ipe

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

We take a business process centric view of an organization and study knowledge intensive business processes (KIBPs). Using a case study research methodology, we studied a diverse set of business processes in multiple organizations to understand their basic ingredients. We find that, although materially dissimilar, KIBPs share a common framework at an abstract level, in that, the tasks that comprise them, the information/knowledge that they need, and the decision situations that are encountered within them have similar characteristics. We draw upon the task-technology fit (TTF) theory and expand it to consider the process-technology fit in the context of KIBPs. In doing so, we prescribe guidelines for organizations for planning for IT support in the form of knowledge management systems for decision making scenarios that are commonly encountered in KIBPs.

Original languageEnglish (US)
Title of host publicationInformation Systems, Technology and Management
Subtitle of host publication4th International Conference, ICISTM 2010, Bangkok, Thailand, March 11-13, 2010. Proceedings
EditorsSushil Prasad, Harrick Vin, Sartaj Sahni, Mahadeo Jaiswal, Bundit Thipakorn
Pages32-43
Number of pages12
DOIs
StatePublished - Apr 26 2010

Publication series

NameCommunications in Computer and Information Science
Volume54
ISSN (Print)1865-0929

Keywords

  • Decision support
  • Knowledge intensive business processes
  • Knowledge management
  • Knowledge management systems
  • Task-technology fit

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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