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Using Information Systems to Leverage Knowledge Management Processes: The Role of Work Context, Job Characteristics and Task-Technology Fit
Author(s) -
Valter Moreno,
Flávia Cavazotte
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.066
Subject(s) - computer science , leverage (statistics) , knowledge management , task (project management) , reuse , knowledge transfer , job design , context (archaeology) , work (physics) , personal knowledge management , job analysis , organizational learning , job performance , job satisfaction , artificial intelligence , psychology , mechanical engineering , paleontology , management , engineering , economics , biology , ecology , social psychology
This study focus on how an individual's particular work context, job characteristics and knowledge-related job requirements affect the relationship between task-technology fit (TTF) and the use of information systems (IS) in knowledge management activities. The literature on Knowledge Management (KM) and Knowledge Management Systems (KMS) is reviewed to identify relevant constructs and their dimensions. Based on this analysis, a model is proposed and tested. Our findings suggest that providing appropriate IT tools that fit tasks alone is no guarantee that they will be employed to leverage the acquisition, transfer and reuse of knowledge. Certain characteristics of jobs, driven by particular work contexts, generate greater need and opportunity for knowledge use. These latter factors moderate the relationship between TTF and actual use of IS for KM purposes: the greater the need and opportunity to conduct knowledge-related activities, the stronger the relationship between TTF and actual IS use

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