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User's Segmentation on Continued Knowledge Management System Use in the Public Sector

User's Segmentation on Continued Knowledge Management System Use in the Public Sector

Chi-Cheng Huang
Copyright: © 2020 |Volume: 32 |Issue: 1 |Pages: 22
ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781522583684|DOI: 10.4018/JOEUC.2020010102
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MLA

Huang, Chi-Cheng. "User's Segmentation on Continued Knowledge Management System Use in the Public Sector." JOEUC vol.32, no.1 2020: pp.19-40. http://doi.org/10.4018/JOEUC.2020010102

APA

Huang, C. (2020). User's Segmentation on Continued Knowledge Management System Use in the Public Sector. Journal of Organizational and End User Computing (JOEUC), 32(1), 19-40. http://doi.org/10.4018/JOEUC.2020010102

Chicago

Huang, Chi-Cheng. "User's Segmentation on Continued Knowledge Management System Use in the Public Sector," Journal of Organizational and End User Computing (JOEUC) 32, no.1: 19-40. http://doi.org/10.4018/JOEUC.2020010102

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Abstract

Knowledge management systems (KMS) can help an organization support knowledge management activities and thereby increase organizational performance. This study extends the expectation-confirmation model for predicting mandatory continued KMS use in the public sector. The models are assessed using data from a sample of 627 employees of the Kaohsiung City government in Taiwan and analyzed using the finite mixture partial least squares (FIMIX-PLS) method. The results of this study indicate that (1) data heterogeneity (i.e., educational level) segments two specific groups that show different perceptions toward continued KMS use; (2) the results of aggregate-based data analysis are different from the results of group-specific data analysis; (3) compatibility, relative to confirmation, has larger impact on perceived usefulness regardless of groups; (4) the effect of user satisfaction on continued usage behavior is significant different between the two groups; (5) cognition-driven continued use and emotion-driven continued use are identified in the two groups.