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An Empirical Examination of the Impact Organizational Culture Has on Employees' Computer Self-Efficacy

An Empirical Examination of the Impact Organizational Culture Has on Employees' Computer Self-Efficacy

Yihua Sheng, J. Michael Pearson, Leon Crosby
Copyright: © 2004 |Pages: 28
ISBN13: 9781591402534|ISBN10: 1591402530|ISBN13 Softcover: 9781591402954|EISBN13: 9781591402541
DOI: 10.4018/978-1-59140-253-4.ch001
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MLA

Sheng, Yihua, et al. "An Empirical Examination of the Impact Organizational Culture Has on Employees' Computer Self-Efficacy." Advanced Topics in Information Resources Management, Volume 3, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2004, pp. 1-28. https://doi.org/10.4018/978-1-59140-253-4.ch001

APA

Sheng, Y., Pearson, J. M., & Crosby, L. (2004). An Empirical Examination of the Impact Organizational Culture Has on Employees' Computer Self-Efficacy. In M. Khosrow-Pour, D.B.A. (Ed.), Advanced Topics in Information Resources Management, Volume 3 (pp. 1-28). IGI Global. https://doi.org/10.4018/978-1-59140-253-4.ch001

Chicago

Sheng, Yihua, J. Michael Pearson, and Leon Crosby. "An Empirical Examination of the Impact Organizational Culture Has on Employees' Computer Self-Efficacy." In Advanced Topics in Information Resources Management, Volume 3, edited by Mehdi Khosrow-Pour, D.B.A., 1-28. Hershey, PA: IGI Global, 2004. https://doi.org/10.4018/978-1-59140-253-4.ch001

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Abstract

IT-based business initiatives, such as ERP and BPR, require high computer self-efficacy among employees because such changes require large-scale use of computers. Computer self-efficacy is affected by many internal and external factors; for instance, personality or organizational culture. While extensive literature exists on how psychological and sociological factors affect a person’s self-efficacy, almost no research has been done on how organizational culture could influence employees’ computer self-efficacy. This chapter examines the relationship between organizational culture and employees’ self-efficacy for a sample of 352 subjects. The results, from multiple regression and discriminant analysis, show teamwork and information flow contribute most to employees’ computer self-efficacy.

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