“KMS-Fit”: a case-based exploration of task/technology fit in an applied knowledge management context

dc.creator	Jason M. Turner
dc.creator	David P. Biros
dc.creator	Michael W. Moseley
dc.date	2009-06-01T00:00:00Z
dc.date.accessioned	2015-07-20T22:22:20Z
dc.date.available	2015-07-20T22:22:20Z
dc.identifier	2073-7904
dc.identifier	https://doaj.org/article/b857cfb3287744d4849078a787b69519
dc.identifier.uri	http://evidence.thinkportal.org/handle/123456789/20638
dc.description	The notion of Task/Technology Fit (TTF) posits that as the degree of overlap increases between the task domain, and the ways in which the capabilities of an information system (IS) are suited to activities within that domain, performance gains experienced via use of the IS should also increase. This research proposes an expanded TTF model that is applicable to the context of Knowledge Management (KM) and Knowledge Management Systems (KMS). In particular, additional individual, technological, and social factors and interrelationships between these factors could provide greater explanatory power of IS user behaviors, perceptions, and outcomes within the realm of knowledge work.A mixed-method field study approach was employed at a large government organization, currently in the process of developing and fielding a new KMS to support knowledge-intensive work, to investigate the underlying factors and relationships described within an expanded ―KMS Fit‖ model. Results suggest that the foundational mechanisms described by the TTF model may in fact change within KM contexts. In particular, the inherently social characteristics of knowledge-based work were found to play a very important role in determining the degree of fit relative to a KMS. Moreover, the social ecology within the organization was found to have significant impact on KMS Fit. Results of this research further reinforce the notion that KMS may be a unique subset of IS and that traditional IS models (such as TTF) should be updated or tailored to reflect the social nature of knowledge-based work and knowledge management.
dc.language	English
dc.publisher	Hong Kong Bao Long Accounting & Secretarial Limited
dc.relation	http://www.kmel-journal.org/ojs/index.php/online-publication/article/view/13/20
dc.relation	https://doaj.org/toc/2073-7904
dc.rights	CC BY
dc.source	Knowledge Management & E-Learning : an International Journal, Vol 1, Iss 2, Pp 120-138 (2009)
dc.subject	Task-Technology Fit
dc.subject	KMS-Fit
dc.subject	Knowledge Management Systems
dc.subject	Social Ecology
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.subject	Education (General)
dc.subject	L7-991
dc.subject	Education
dc.subject	L
dc.title	“KMS-Fit”: a case-based exploration of task/technology fit in an applied knowledge management context
dc.type	article