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An empirical investigation on end-users' acceptance of enterprise systems

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Despite the huge investments by organizations in ERP implementation, maintenance, and user training, ERP implementation failures and less-than-satisfactory productivity improvements are common. End-users' reluctance or unwillingness to adopt or use the newly implemented ERP system is often cited as one of the main reasons for ERP failures. To examine factors leading to the lack of end-user acceptance of ERP systems, we reviewed the literature on user adoption of IT in mandatory contexts, developed hypotheses to explain ERP user acceptance, and conducted a survey study to test the hypotheses. In particular, we examined end-users' attitudes toward system use and symbolic adoption, which refers to users' voluntary mental acceptance of a system, to understand user acceptance in the ERP context. Four cognitive constructs perceived usefulness, perceived ease of use, perceived compatibility, and perceived fit - were hypothesized as the antecedents. The research model was tested through a survey of end-users' perceptions concerning adopting and using a newly implemented ERP system. The findings support most of our hypotheses. Specifically, perceived compatibility and perceived ease of use have both direct and indirect effects (mediated by attitude) on symbolic adoption, while perceived fit and perceived usefulness influence symbolic adoption by being fully mediated through attitude. The study provides managerial implications for organizations that are striving to engender user acceptance of newly adopted enterprise systems and applications.
Original languageEnglish
Pages (from-to)32-53
JournalInformation Resources Management Journal
Volume17
Issue number3
DOIs
Publication statusPublished - Jul 2004
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Compatibility
  • Enterprise system
  • ERP
  • Fit
  • Perceived ease of use
  • Perceived usefulness
  • Symbolic adoption
  • User acceptance

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