Date of Award
3-18-2008
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
Jason M. Turner, PhD
Abstract
Task/Technology Fit (TTF) posits that as the intersection of the task domain and the capabilities of an information system (IS) increases in magnitude, the performance gains experienced by user through use of the IS will be positively impacted. While rooted in the traditional IS literature, this research proposes that TTF be extended to incorporate additional factors unique to the context of Knowledge Management (KM). Based upon the findings of this research, it is reasonable to conclude that when employing the TTF model to determine KMS fitness, additional factors other than the task requirements and KMS capabilities should be considered. This research also shows that the social ecology present within the organization has significant impacts on KMS fit. Finally, this research lends credibility to the idea that KMS are indeed a unique subset of IS and that traditional IS models (such as TTF) should reflect the unique social nature of KM.
AFIT Designator
AFIT-GIR-ENV-08-M14
DTIC Accession Number
ADA480318
Recommended Citation
Moseley, Michael W., "A Case-Based Exploration of Task/Technology Fit in a Knowledge Management Context" (2008). Theses and Dissertations. 2858.
https://scholar.afit.edu/etd/2858