The impact of knowledge management system quality on the usage continuity and recommendation intention

Eko Kuswardono Budiardjo, Gilang Pamenan, Achmad Nizar Hidayanto, Meyliana, Ervi Cofriyanti

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

This study aimed to examine the influence of knowledge management system (KMS) quality on users' continuance intention. The research model was developed by integrating the concept of DeLone and McLean's information systems (IS) success model with the expectation confirmation model. To examine the developed model, a survey was conducted with 131 respondents from three companies that had implemented a KMS. The data were analyzed using the partial least square (PLS) method. The study demonstrated that both system quality and information/knowledge quality influence all the factors that drive the continuance intention regarding KMS usage, namely perceived usefulness, satisfaction, and trust. Moreover, satisfaction proved to have an impact on users' recommendation intention concerning the KMS. Therefore, companies should improve the KMS quality in order to drive employees to continuously use the KMS and recommend it to others.

Original languageEnglish
Pages (from-to)200-224
Number of pages25
JournalKnowledge Management and E-Learning
Volume9
Issue number2
Publication statusPublished - 2017

Keywords

  • Continuance intention
  • Expectation confirmation model
  • IS success model
  • Knowledge management
  • Knowledge management systems
  • Knowledge quality
  • Post adoption behavior
  • System quality

Fingerprint

Dive into the research topics of 'The impact of knowledge management system quality on the usage continuity and recommendation intention'. Together they form a unique fingerprint.

Cite this