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Common method bias: It’ s bad, it’ s complex, it’ s widespread, and it’ s not easy to fix
Abstract
Despite recognition of the harmful effects of common method bias (CMB), its causes, consequences, and remedies are still not well understood. Therefore, the purpose of this article is to review our current knowledge of CMB and provide recommendations on how to control it. We organize our review into five main sections. First, we explain the harmful effects of CMB (why it is bad). Second, we discuss the complexity caused by the fact that there are multiple sources of CMB, several of which are likely to be present in any study. Third, we present evidence that the conditions under which CMB is likely to occur are relatively widespread, and fourth, we explain why CMB is not easy to fix. Finally, we identify several avenues for future research.
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“Procedural controls were implemented to mitigate common method bias.Responses were collected anonymously and treated confidentially, while predictor and outcome measures were separated by unrelated questionnaire blocks (Podsakoff et al., 2003(Podsakoff et al., , 2024)).”
From From search results to generative answers: A mixed-methods study of credibility assessment and trust formation in AI Overviews (2027) · cites this paper as Podsakoff et al., 2024
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
Self-citationConvergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Self-citationLiang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
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
Self-citationOn making causal claims: A review and recommendations
Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010) · The Leadership Quarterly · doi:10.1016/j.leaqua.2010.10.010 · Cited by 2,441
Understanding and managing the threat of common method bias: Detection, prevention and control
Kock, F., Berbekova, A., & Assaf, A. G. (2021) · Tourism Management · doi:10.1016/j.tourman.2021.104330 · Cited by 1,692
Lack of method variance in self-reported affect and perceptions at work: reality or artifact?
Williams, L. J., Cote, J. A., & Buckley, M. R. (1989) · Journal of Applied Psychology · doi:10.1037/0021-9010.74.3.462 · Cited by 1,616
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Research works printed but not linked: 173
- 10.5502/ijw.v8i2.734 · DOI
- Aguirre-Urreta MI, 2019, Inf. Syst., 50, 45
- 10.1007/s10869-010-9157-6 · DOI
- 10.1080/00223980009600845 · DOI
- 10.1037/0021-9010.86.6.1285 · DOI
- 10.1177/002224298404800102 · DOI
- 10.2307/23044044 · DOI
- 10.2307/2393203 · DOI · Paper page
- 10.1080/026999399379023 · DOI · Paper page
- 10.1037/0021-9010.75.5.547 · DOI
- 10.1037/0021-9010.81.3.261 · DOI
- 10.1509/jmkr.38.2.143.18840 · DOI
- 10.1177/1069031X21995871 · DOI
- 10.1007/s11747-020-00766-8 · DOI
- 10.1037/0021-9010.90.6.1054 · DOI
- 10.1002/ijop.12379 · DOI
- Bliese PD., 2000, Multilevel Theory, Research, and Methods Inorganizations: Foundations, Extensions and New Directions, 349
- 10.1037/cp2006017 · DOI
- 10.1111/peps.12047 · DOI
- 10.1002/9781118619179 · DOI
- 10.1111/1748-8583.12398 · DOI
- 10.1037/apl0000164 · DOI
- 10.1177/1094428109360993 · DOI
- 10.1098/rspb.2020.1245 · DOI
- Brown TA., 2015, Confirmatory Factor Analysis for Applied Research
- 10.1177/0013164490503001 · DOI · Paper page
- 10.2307/20650304 · DOI
- 10.1207/s15327906mbr0204_1 · DOI
- 10.1177/1094428115617004 · DOI
- 10.1037/0021-9010.83.2.234 · DOI
- 10.1057/jibs.2009.88 · DOI
- 10.1207/s15327752jpa6901_10 · DOI
- 10.3389/fpsyg.2017.00521 · DOI
- 10.2307/41703491 · DOI · Paper page
- 10.1177/0022022111428514 · DOI
- 10.1002/pfi.21749 · DOI
- 10.5465/amj.2006.0241 · DOI
- 10.1016/S0191-8869(99)00192-0 · DOI
- 10.1016/j.jvb.2020.103472 · DOI
- 10.1037/apl0000815 · DOI
- 10.1177/002224378702400308 · DOI
- 10.1086/209137 · DOI
- 10.1109/TEM.2011.2136437 · DOI
- 10.25300/MISQ/2019/15117 · DOI
- 10.1037/0021-9010.79.1.67 · DOI
- 10.1177/10596011221103068 · DOI
- 10.1016/j.paid.2022.111708 · DOI
- 10.1037/0021-9010.90.6.1241 · DOI
- 10.1111/peps.12430 · DOI
- 10.1037/0021-9010.60.6.736 · DOI
- 10.1037/h0058073 · DOI
- Edwards AL., 1957, The Social Desirability Variable in Personality Assessment and Research
- 10.1016/0749-5978(85)90002-0 · DOI
- 10.1016/j.jbusres.2015.12.008 · DOI · Paper page
- 10.1177/1094428118802626 · DOI · Paper page
- 10.1177/0149206313475815 · DOI
- 10.1037/apl0000322 · DOI
- 10.1016/j.obhdp.2011.06.005 · DOI
- 10.1016/S0191-8869(02)00331-8 · DOI · Paper page
- Harris MM, 1994, J. Manag., 20, 887
- 10.1037/0021-9010.78.1.129 · DOI
- 10.1006/obhd.1996.0103 · DOI
- 10.1037/0021-9010.70.3.461 · DOI
- 10.1177/1470595806066332 · DOI
- 10.1007/s11575-011-0111-2 · DOI
- 10.2307/2094771 · DOI
- 10.1177/0149206319850280 · DOI
- 10.1016/j.leaqua.2009.04.003 · DOI · Paper page
- 10.1111/j.1937-5956.2009.01002.x · DOI
- 10.1007/s10212-012-0134-5 · DOI
- 10.2466/pr0.2001.88.2.497 · DOI
- 10.1080/10967494.2014.997906 · DOI
- 10.1016/j.jcps.2013.05.006 · DOI
- 10.1037/a0021504 · DOI
- 10.1037/bul0000224 · DOI
- 10.1037/0022-3514.60.2.193 · DOI
- 10.1080/1091367X.2021.1949322 · DOI
- 10.1016/j.paid.2012.10.017 · DOI
- 10.1080/00273171.2015.1022640 · DOI
- 10.1108/IJPDLM-05-2013-0099 · DOI
- 10.1037/0033-2909.112.1.165 · DOI
- 10.1016/j.jom.2002.07.001 · DOI
- 10.1002/acp.2350050305 · DOI
- 10.1146/annurev.psych.50.1.537 · DOI · Paper page
- 10.1177/1094428112469667 · DOI
- 10.1037/a0014622 · DOI
- Lambert LS, 2022, An overlooked aspect of measurement: Does the content of verbal anchors matter?
- 10.1177/1094428109352528 · DOI
- 10.1177/1094428107302900 · DOI
- 10.1016/j.jesp.2012.07.002 · DOI
- 10.1037/a0024244 · DOI
- 10.1177/0149206316654544 · DOI
- 10.1037/0021-9010.86.1.114 · DOI · Paper page
- 10.1037/1082-989X.4.2.192 · DOI
- 10.1037/apl0000477 · DOI
- 10.1016/0030-5073(78)90036-3 · DOI
- 10.2307/23044045 · DOI · Paper page
- 10.1177/0013164496056002005 · DOI
- 10.1002/job.2202 · DOI
- 10.1348/096317902320369767 · DOI
- 10.1037/a0028380 · DOI
- 10.1177/0149206310364663 · DOI
- 10.1080/17437199.2017.1339568 · DOI
- 10.1093/jopart/mus057 · DOI
- Messick S., 1991, Improving the Inquiry in Social Science: A Volume in Honor of Lee J. Cronbach, 161
- 10.1016/j.ijhm.2016.04.010 · DOI
- 10.1016/S0148-2963(98)00088-5 · DOI
- 10.2307/3560240 · DOI
- 10.1108/ICT-04-2021-0030 · DOI
- 10.1111/jscm.12158 · DOI
- 10.2307/259081 · DOI
- 10.1002/ejsp.2420150303 · DOI · Paper page
- 10.5465/amj.2010.0133 · DOI
- 10.1037/0021-9010.81.6.660 · DOI
- 10.1037/0021-9010.87.2.355 · DOI
- 10.1177/014920638601200104 · DOI
- 10.1037/a0038479 · DOI
- 10.1037/apl0000374 · DOI
- 10.1037/a0032588 · DOI
- 10.1146/annurev-psych-120710-100452 · DOI · Paper page
- Pujol-Cols L, 2021, J. Work Organ. Psychol., 37, 187
- 10.1016/j.leaqua.2004.02.009 · DOI
- 10.1348/096317905X36731 · DOI
- 10.1177/1094428109332834 · DOI · Paper page
- Roth PL, 1998, J. Manag., 24, 97
- 10.1037/0021-9010.87.1.66 · DOI · Paper page
- 10.1016/0030-5073(77)90046-0 · DOI
- Sackett PR, 1990, Handbook of Industrial and Organizational Psychology, 419
- 10.1037/0021-9010.77.3.322 · DOI
- 10.1002/job.4030150504 · DOI
- 10.1177/014662168601000101 · DOI
- 10.1177/001316448104100219 · DOI
- 10.1177/001316448104100419 · DOI
- 10.1037/a0014365 · DOI
- 10.1145/3051473.3051479 · DOI
- 10.1111/peps.12382 · DOI
- 10.1037/apl0000455 · DOI
- 10.1146/annurev-orgpsych-032414-111245 · DOI
- 10.5465/annals.2018.0142 · DOI
- 10.1177/1094428109351241 · DOI · Paper page
- 10.1037/0021-9010.68.4.653 · DOI
- 10.1037/0021-9010.74.4.599 · DOI
- 10.1037/0021-9010.72.3.438 · DOI
- 10.1177/1094428105284955 · DOI · Paper page
- 10.1007/s10869-018-09613-8 · DOI
- 10.1037/a0019477 · DOI
- 10.1177/1094428110366303 · DOI
- 10.1007/s10869-022-09838-8 · DOI
- 10.1007/s41542-019-00039-z · DOI
- 10.1111/apps.12056 · DOI
- 10.1177/0149206316687295 · DOI
- 10.1016/0030-5073(75)90060-4 · DOI
- 10.1007/s11747-020-00745-z · DOI
- 10.2307/255376 · DOI
- 10.1037/0033-2909.129.6.914 · DOI · Paper page
- 10.1016/0022-1031(91)90010-4 · DOI
- 10.1002/smj.1962 · DOI
- 10.1509/jmr.11.0368 · DOI · Paper page
- 10.1177/0146621614531850 · DOI
- 10.1016/j.ijresmar.2008.09.003 · DOI
- 10.1177/0146621609338593 · DOI
- 10.1007/s11747-007-0077-6 · DOI
- 10.1037/0021-9010.79.3.323 · DOI
- 10.1037/0021-9010.81.1.88 · DOI
- 10.1177/1094428110366036 · DOI
- 10.1007/s10869-015-9422-9 · DOI
- Wilson V, 2021, Commun. Assoc. Inf. Syst., 49, 41
- 10.1007/BF02295286 · DOI
- 10.1177/00491241211043141 · DOI
- 10.1061/(ASCE)CO.1943-7862.0002364 · DOI
- 10.3389/fpsyg.2020.585179 · DOI
- Zhu D, 2022, J. Hosp. Mark. Manag., 31, 326
- 10.1037/0021-9010.89.2.322 · DOI
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Faraon, M., Rönkkö, K., Milrad, M., & Tsui, E. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13492-x · Cited by 50
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Madison, K., Eva, N., De Cieri, H., & Goh, Z. (2025) · The Leadership Quarterly · doi:10.1016/j.leaqua.2025.101924 · Cited by 22
Peng, S., & Huang, Y. (2024) · BMC Psychology · doi:10.1186/s40359-024-02110-z · Cited by 19
“However, compared to other methods, the Directly Measured Latent Variable (DMLV) method may hold significant value [58, 59].”
BackgroundMethodRingo, D. S. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2475268 · Cited by 18
Metadata
- Authors
- Podsakoff, P. M., Podsakoff, N. P., Williams, L. J., Huang, C., & Yang, J.
- Affiliations
- Warrington College of Business, University of Florida, Gainesville, Florida, USA;
- Eller College of Management, University of Arizona, Tucson, Arizona, USA
- Jerry S. Rawls College of Business, Texas Tech University, Lubbock, Texas, USA
- Venue
- Annual Review of Organizational Psychology and Organizational Behavior
- Publisher
- Annual Reviews
- Published
- 2024-01-22
- Volume
- 11
- Issue
- 1
- Pages
- 17-61
- ISSN
- 2327-0608
- 2327-0616
- Cited by
- 1,899
- References
- 16
- Language
- en
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