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Cited by 470

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes toward Microcomputers

Igbaria, Magid, Parasuraman, Saroj·1989·Journal of Management

Abstract

This study developed and tested a path model of individual difference variables as antecedents of computer anxiety and attitudes toward microcomputers among managers. Results of path analysis of survey data gatheredfrom 166 managers provided moderate support for the proposed model and the pattern of linkages specified among the variables. Results showed education is negatively related to computer anxiety, and external locus of control and math anxiety contribute to increased computer anxiety. Managers' age, education, external locus of control, and thefeeling-thinking dimension of cognitive style are directly related to attitudes toward microcomputers. However, math anxiety and external locus of control affect microcomputer attitudes only indirectly, through their effect on computer anxiety, which is the strongest predictor of negative attitudes toward microcomputers. Implications for the design and success of management information systems involving microcomputers, andfuture research are discussed.

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Metadata

Authors
Igbaria, M., & Parasuraman, S.
Venue
Journal of Management
Published
1989-09
Volume
15
Issue
3
Pages
373-388
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W2067007689
Cited by
470
References
6
FWCI
16.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes toward Microcomputers. https://app.cochat.ai/papers/10.1177/014920638901500302
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Igbaria, M., & Parasuraman, S. (1989). A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes toward Microcomputers. Journal of Management. https://doi.org/10.1177/014920638901500302

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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.