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Cited by 373

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology

IGBARIA, MAGID, SCHIFFMAN, STEPHEN J., WIECKOWSKI, THOMAS J.·1994·Behaviour & Information Technology

Abstract

This study examined the effects of two main factors affecting microcomputer technology acceptance: perceived usefulness and perceived fun. We examined whether users are motivated to accept a new technology due to its usefulness or fun. Results of this study suggest that perceived usefulness is more influential than perceived fun in determining whether to accept or reject microcomputer technology. We also examined the impact of computer anxiety on acceptance. Results showed that computer anxiety had both direct and indirect effects on user acceptance of microcomputer technology, through perceived usefulness and fun. We also found attitude (satisfaction) to be less influential than perceived usefulness and fun. Implications for the design and acceptance of microcomputer technology and future research are discussed.

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Metadata

Authors
IGBARIA, M., SCHIFFMAN, S. J., & WIECKOWSKI, T. J.
Venue
Behaviour & Information Technology
Published
1994-11
Volume
13
Issue
6
Pages
349-361
ISSN
  • 0144-929X (ISSN-L)
  • 1362-3001
OpenAlex
W2038360432
Cited by
373
References
4
FWCI
15.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology. https://app.cochat.ai/papers/10.1080/01449299408914616
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IGBARIA, M., SCHIFFMAN, S. J., & WIECKOWSKI, T. J. (1994). The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology. Behaviour & Information Technology. https://doi.org/10.1080/01449299408914616

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.