The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Examining the Impact and Detection of the "Urban Legend" of Common Method Bias
Abstract
Common Method Bias (CMB) represents one of the most frequently cited concerns among Information System (IS) and social science researchers. Despite the broad number of commentaries lamenting the importance of CMB, most empirical studies have relied upon Monte Carlo simulations, assuming that all of the sources of bias are homogenous in their impact. Comparatively analyzing field-based data, we address the following questions: (1) What is the impact of different sources of CMB on measurement and structural models? (2) Do the most commonly utilized approaches for detecting CMB produce similar estimates? Our results provide empirical evidence that the sources of CMB have differential impacts on measurement and structural models, and that many of the detection techniques commonly utilized within the IS field demonstrate inconsistent accuracy in discerning these differences.
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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
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575
Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies
MacKenzie, S. B., & Podsakoff, P. M. (2012) · Journal of Retailing · doi:10.1016/j.jretai.2012.08.001 · Cited by 3,051
Lower bounds on sample size in structural equation modeling
Christopher Westland, J. (2010) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2010.07.003 · Cited by 1,846
Cited by
Common method bias: It’ s bad, it’ s complex, it’ s widespread, and it’ s not easy to fix
Podsakoff, P. M., Podsakoff, N. P., Williams, L. J., Huang, C., & Yang, J. (2024) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-110721-040030 · Cited by 1,899
Family and Academic Stress and Their Impact on Students' Depression Level and Academic Performance
Deng, Y., Cherian, J., Khan, N. U. N., Kumari, K., Sial, M. S., Comite, U., Gavurova, B., & Popp, J. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.869337 · Cited by 371
Safdar, B., Habib, A., Amjad, A., & Abbas, J. (2020) · International Journal of Academic Research in Progressive Education and Development · doi:10.6007/ijarped/v9-i4/8458 · Cited by 29
Metadata
- Authors
- Schwarz, A., Rizzuto, T., Carraher-Wolverton, C., Roldán, J. L., & Barrera-Barrera, R.
- Venue
- ACM SIGMIS Database: the DATABASE for Advances in Information Systems
- Published
- 2017-02-08
- Volume
- 48
- Issue
- 1
- Pages
- 93-119
- ISSN
- 0095-0033 (ISSN-L)
- 1532-0936
- OpenAlex
- W2588239865
- Cited by
- 263
- References
- 4
- FWCI
- 12.33
- Type
- journal article
- Language
- en
- Open access
- closed
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- Schwarz, A., Rizzuto, T., Carraher-Wolverton, C., Roldán, J. L., & Barrera-Barrera, R. (2017). Examining the Impact and Detection of the "Urban Legend" of Common Method Bias. ACM SIGMIS Database: the DATABASE for Advances in Information Systems. https://doi.org/10.1145/3051473.3051479
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