Measuring user satisfaction with knowledge management systems: scale development, purification, and initial test.
The shift from a product-based to a knowledge-based economy has resulted in an increased demand for knowledge workers who are capable of higher-order thinking and reasoning to solve intricate problems in the workplace. This requires organizations to introduce knowledge management systems (KMS) for e...
| Publicado en: | Computers in Human Behavior Vol. 23; no. 3; pp. 1329 - 1347 |
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| Autores principales: | , |
| Formato: | Artículo |
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Elsevier Science
May 2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507980188&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507980188 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: May 2007 vid: 23 iid: 3 pid: 2410 pub: Elsevier Science artinfo: ui: 507980188 10.1016/j.chb.2004.12.012 ppf: 1329 ppct: 18 formats: tig: atl: Measuring user satisfaction with knowledge management systems: scale development, purification, and initial test. aug: au: Ong, Chorng-Shyong Lai, Jung-Yu su: Knowledge management Customer satisfaction Examinations Computer software sug: subj: Knowledge management Customer satisfaction Examinations Computer software ab: The shift from a product-based to a knowledge-based economy has resulted in an increased demand for knowledge workers who are capable of higher-order thinking and reasoning to solve intricate problems in the workplace. This requires organizations to introduce knowledge management systems (KMS) for employees and has fueled predictions and speculations about what makes KMS effective. Unfortunately, there are very few empirical studies that examine this issue. Thus, this paper develops a validated instrument to measure user satisfaction as a surrogate measure of KMS effectiveness. Based on a survey of 147 respondents practicing mostly in four international semiconductor manufacturing companies in the Hsin-Chu Science-based Industrial Park in Taiwan suggests a 16-item instrument that measures four dimensions of user satisfaction with knowledge management systems (USKMS) is well-validated. The instrument and comprehensive model proposed in this paper would be valuable to researchers and practitioners interested in designing, implementing, and managing knowledge management systems. Copyright (c) 2007 Elsevier Ltd pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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