Theory of planned behavior and whistleblowing intention

Tarjo Tarjo, Anang Suwito, Ifa Diah Aprillia, Greska Redielano Ramadan


This research examined the theory of planned behavior (TPB) as predictor whistleblowing intention. According to TPB, it is difficult to posit whistleblowing as actual behavior. Whistleblowing is more suited to be posited as intention. Intent means the likelihood of actual behavior occurred. We examined attitude, subjective norms, and perceived behavioral control as TPB variables. We also investigated a few control variables such as colleagues support, organizational support, and fear of retaliation. The online survey was conducted in obtaining data by a web-based questionnaire. Participants of this survey were employees of regional owned east java bank. The number of respondents was 112 employees from all departments and units. Validity, reliability, regression, and path analysis were used in testing research instrument and several hypotheses. The result showed that attitudes and subjective norms as TPB variables have a significant impact on whistleblowing intention. However, perceived behavioral control does not affect whistleblowing intention. While, among several control variables, only fear of retaliation that has a significant effect on whistleblowing intention. Furthermore, this study also found empirical evidence that knowledge and subjective norms have an indirect effect on whistleblowing intention through attitudes. This research suggests that regional owned east java bank should provide an environment and channels to support whistleblowing within effectively, especially through protection and/or reward systems, or etc.

JEL Classification: D23, G34, L23



Attitudes; Behavioral Control; Subjective Norms; Whistleblowing Intention


Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

Albrecht, S. L., & Carpenter, K. E. (2010). Attitudes as predictors of behavior versus behavior intentions: A convergence of research traditions. Sociometry, 39(1), 1–10.

Association of Certified Fraud Examiners. (2018). Report To The Nations 2018 Global Study on Occupational Fraud and Abuse.

Awang, Y., & Ismail, Z. (2018). Determinants of financial reporting fraud intention among accounting practitioners in the banking sector: Malaysian evidence. International Journal of Ethics and Systems, 34(1), 32–54.

Bobek, D. D., Roberts, R. W., & Sweeney, J. T. (2007). The social norms of tax compliance: Evidence from Australia, Singapore, and the United States. Journal of Business Ethics, 74(1), 49–64.

Bock, G.-W., Zmud, R. W., Kim, Y.-G., & Lee, J. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29(1), 87–111.

Cassematis, P. G., & Wortley, R. (2013). Prediction of whistleblowing or non-reporting observation: The Role of personal and situational factors. Journal of Business Ethics, 117(3), 615–634.

Chang, Y., Wilding, M., & Shin, M. C. (2017). Determinants of whistleblowing intention: Evidence from the South Korean Government. Public Performance and Management Review, 40(4), 676–700.

Cho, Y. J., & Song, H. J. (2015). Determinants of whistleblowing within government agencies. Public Personnel Management, 44(4), 450–472.

Christophersen, T., & Konradt, U. (2011). Reliability, validity, and sensitivity of a single-item measure of online store usability. International Journal of Human-Computer Studies, 69(4), 269–280.

Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55(1), 591–621.

Erikson, K., & Fallan, L. (1996). Tax knowledge and attitudes towards taxation; A report on a quasi-experiment. Journal of Economic Psychology, 17(3), 387–402. Retrieved from

Feldman, Y., & Lobel, O. (2007). Behavioral versus institutional antecedents of decentralized enforcement in organizations: An experimental approach. Regulation & Governance, 2(2), 165-192.

Gundlach, M. J., Douglas, S. C., & Martinko, M. J. (2003). The decision to blow the whistle: A social information processing framework. Academy of Management Review, 28(1), 107–123.

Hwang, D., Staley, B., Chen, Y. Te, & Lan, J. S. (2008). Confucian culture and whistle-blowing by professional accountants: An exploratory study. Managerial Auditing Journal, 23(5), 504–526.

Krosnick, J. A., Narayan, S., & Smith, W. R. (1996). Satisficing in surveys: Initial evidence. New Directions for Evaluation, 70, 29–44.

Latan, H., Jabbour, C. J. C., & Jabbour, A. B. L. de S. (2016). Ethical decision-making theory: An integrated approach. Journal of Business Ethics, 139(4), 755–776.

Lewis, W., Agarwal, R., & Sambamurthy, V. (2014). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 24(4), 665–694.

Lozano, L. M., García-Cueto, E., & Muñiz, J. (2008). Effect of the number of response categories on the reliability and validity of rating scales. Methodology, 4(2), 73–79.

Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3–9.

Mesmer-Magnus, J. R., & Viswesvaran, C. (2005). Whistleblowing in organizations: An examination of correlates of whistleblowing intentions, actions, and retaliation. Journal of Business Ethics, 62(3), 277–297.

Miceli, M. P., & Near, J. P. (1988). Individual and situational correlates of whistleblowing. Personnel Psychology, 41(2), 267–281.

Near, J. P., & Miceli, M. P. (1985). Organizational dissidence: The case of whistle-blowing. Journal of Business Ethics, 4(1), 1–16.

Park, H., & Blenkinsopp, J. (2009). Whistleblowing as planned behavior-A survey of South Korean police officers. Journal of Business Ethics, 85(4), 545–556.

Pillay, S., Ramphul, N., Dorasamy, N., & Meyer, D. (2015). Predictors of whistle-blowing intentions: An analysis of multi-level variables. Administration and Society, 50(2), 186-216.

Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments & Computers, 36(4), 717–731.

Richardson, B. K., Wang, Z., & Hall, C. A. (2012). Blowing the whistle against Greek hazing: The theory of reasoned action as a framework for reporting intentions. Communication Studies, 63(2), 172–193.

Ryan, M. J. (1982). Behavioral Intention formation: The Interdependency of attitudinal and social influence variables. Journal of Consumer Research, 9(3), 263.

Trongmateerut, P., & Sweeney, J. T. (2013). The influence of subjective norms on whistle-blowing: A cross-cultural investigation. J Bus Ethics, 112(3) 437–451.

Weijters, B., Cabooter, E., & Schillewaert, N. (2010). The effect of rating scale format on response styles: The number of response categories and response category labels. International Journal of Research in Marketing, 27(3), 236–247.

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