Re-examining information systems user performance: Using data mining to identify properties of IS that lead to highest levels of user performance

Expert Systems with Applications

Volumn 38, Issue 6, 2011, Pages 7041-7050

  Kositanurit, Boontaree ^a   Osei Bryson, Kweku Muata ^b   Ngwenyama, Ojelanki ^c  

^a Ministry of Finance   (Thailand)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^c RYERSON UNIVERSITY   (Canada)

Author keywords

Data mining; Decision tree; End user performance; Information systems

Indexed keywords

APPLIED RESEARCH; BUSINESS PROCESS; COMPETITIVE PRESSURE; END USERS; INDIVIDUAL PERFORMANCE; LINKING THEORY; RESEARCH METHODS; USER PERFORMANCE;

DECISION TREES; INFORMATION SYSTEMS; MANAGEMENT; MANAGERS; PRODUCTIVITY; RESEARCH;

DATA MINING;

EID: 79951680021     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.011     Document Type: Article

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