The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Investigating the impact of cybersecurity policy awareness on employees’ cybersecurity behavior
Abstract
Abstract As internet technology and mobile applications increase in volume and complexity, malicious cyber-attacks are evolving, and as a result society is facing greater security risks in cyberspace more than ever before. This study has extended the published literature on cybersecurity by theoretically defining the conceptual domains of employees’ security behavior, and developed and tested operational measures to advance information security behavior research in the workplace. A conceptual framework is proposed and tested using survey results from 579 business managers and professionals. Structural equation modeling and ANOVA procedures are employed to test the proposed hypotheses. The results show that when employees are aware of their company’s information security policy and procedures, they are more competent to manage cybersecurity tasks than those who are not aware of their companies’ cybersecurity policies. The study also indicates that an organizational information security environment positively influences employees’ threat appraisal and coping appraisal abilities, which in turn, positively contribute to their cybersecurity compliance behavior.
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Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
A Protection Motivation Theory of Fear Appeals and Attitude Change1
Rogers, R. W. (1975) · The Journal of Psychology · doi:10.1080/00223980.1975.9915803 · Cited by 6,805
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
Rogers, R. W., & Rogers, R. W. (1983) · Medical Entomology and Zoology · Cited by 2,577
Bulgurcu, B., Cavusoglu, H., & Benbasat, I. (2010) · MIS Quarterly · doi:10.2307/25750690 · Cited by 1,870
Advances in Social Media Research: Past, Present and Future
Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018) · Information Systems Frontiers · doi:10.1007/s10796-017-9810-y · Cited by 1,285
Cited by
Corallo, A., Lazoi, M., Lezzi, M., & Luperto, A. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103614 · Cited by 238
Metadata
- Authors
- Li, L., He, W., Xu, L., Ash, I., Anwar, M., & Yuan, X.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 45
- Pages
- 13-24
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2898933733
- Cited by
- 328
- References
- 51
- FWCI
- 30.53
- Type
- journal article
- Language
- en
- Open access
- closed
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