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How robust is the UTAUT instrument?: a multigroup invariance analysis in the context of acceptance and use of online community weblog systems
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Source Special Interest Group on Computer Personnel Research Annual Conference archive
Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research: Forty four years of computer personnel research: achievements, challenges & the future table of contents
Claremont, California, USA
SESSION: Session 6.1 table of contents
Pages: 183 - 189  
Year of Publication: 2006
ISBN:1-59593-349-2
Authors
Jessica Pu Li  State University of New York at Buffalo, Buffalo, NY
Rajiv Kishore  State University of New York at Buffalo, Buffalo, NY
Sponsors
SIGMIS: ACM Special Interest Group on Management Information Systems
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The recent Unified Theory of Acceptance and Use of Technology (UTAUT) model developed by Venkatesh et al. (Venkatesh, et al., 2003) as an integration of the various technology acceptance and use models is an important model in IS literature. However, the UTAUT instrument has not been tested in many different settings and contexts yet. If the scales for the UTAUT constructs are not robust and stable across settings, they are most likely to effect the interpretation of research results. It is, therefore, essential to assess whether these scales are perceived in the same way by individuals in different subgroups. In this paper, acceptance of online community Weblog systems is chosen as the context and data collected from 265 business school undergraduate students are analyzed using multiple group invariance analysis to assess the equivalence of the UTAUT scales across different subgroups based on gender, general computing knowledge, Weblog-specific knowledge, experience with Weblogs, and frequency of using Weblogs. Results indicate that scales for the four constructs in UTAUT including performance expectancy, effort expectancy, social influence, and facilitating conditions have invariant true scores across most but not all subgroups. Researchers and practitioners, therefore, need to apply caution when interpreting the results from the UTAUT instrument.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Jessica Pu Li: colleagues
Rajiv Kishore: colleagues