Publication | Closed Access
KMS adoption: the effects of information quality
108
Citations
69
References
2009
Year
Total Quality ManagementCustomer SatisfactionInnovation AdoptionBusiness IntelligenceTask Technology FitTechnology AdoptionInformation QualityInformation Technology ManagementE-businessManagementBusiness Information SystemBusiness Information SystemsUser AcceptanceUser ExperienceData QualityInformation ManagementMarketingBusiness OperationsTechnology Acceptance ModelBusinessKnowledge ManagementManagement Of TechnologyTechnologyKms Adoption
Purpose By expanding the technology acceptance model, this paper aims to provide a research model for examining the impact of information quality and task technology fit on the adoption of KMS. Design/methodology/approach To test the proposed research model, data are collected through a questionnaire survey sent to IT managers of 500 large companies in Taiwan. Findings Based on the study, it is suitable to use a technology acceptance model to study adoption of KMS and explore how two external variables, information quality and task technology fit, affect the intention to adopt. Additionally, information quality has a directly significant effect on ease of use that users perceive and usefulness where fit between task and KMS is high. Research limitations/implications A mass mailing of a somewhat lengthy, blind survey to busy managers produces a somewhat low response rate. Thus, the generalized nature of the findings is somewhat in question, making replication of the study in Taiwan important. Practical implications The study distinguishes the design of information systems and knowledge management systems. For adoption of KMS, managers must pay more attention to the quality of information provided, and the contextual features of the knowledge involved. Originality/value The value of this paper is in demonstrating the role of information quality with KMS, and providing further insight into the co‐relationship of information quality, usefulness, and fit between task and KMS, leading to more effective strategies for KMS adoption.
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