Toward a Theory of Whistleblowing Intentions: A Benefit-to-Cost Differential Perspective

In order to rescue information technology (IT) projects when they go awry, it is critical to understand the factors that affect bad news reporting. Whistleblowing theory holds promise in this regard and a number of salient factors that may influence whistleblowing intentions have been identified. However, an integrative theory that explains how they influence whistleblowing intentions has been conspicuously absent. In this research, we introduce and test a middle-range theory of whistleblowing that can explain how and why a variety of factors may influence an individual's whistleblowing intentions. Drawing on the social information processing perspective, we propose that individuals holistically weigh the perceived “benefit-to-cost differential” and that this mediates the relationship between whistleblowing factors and whistleblowing intentions. Tests using data collected from 159 experienced IT project managers largely support our theoretical perspective, in which the central explanatory variable (benefit-to-cost differential) significantly mediates a majority of the proposed relationships. Implications of these findings for research and practice are discussed.

[1]  G. Mellinger Interpersonal trust as a factor in communication. , 1956, Journal of abnormal psychology.

[2]  William H. Read,et al.  Upward Communication in Industrial Hierarchies , 1962 .

[3]  Abraham Tesser,et al.  The Effects of Recipient Desire to Hear on News Transmission , 1973 .

[4]  C. O'Reilly,et al.  Failures in Upward Communication in Organizations: Three Possible Culprits , 1974 .

[5]  Richard E. Johnson Effects of Similarity of Fate on Bad News Transmission: A Reexamination. , 1974 .

[6]  Karlene H. Roberts,et al.  Failures in Upward Communication in Organizations: Three Possible Culprits , 1974 .

[7]  Sidney Rosen,et al.  The Reluctance to Transmit Bad News , 1975 .

[8]  M. C. Jensen,et al.  Harvard Business School; SSRN; National Bureau of Economic Research (NBER); European Corporate Governance Institute (ECGI); Harvard University - Accounting & Control Unit , 1976 .

[9]  Janet H. Gaines,et al.  Upward Communication in Industry: An Experiment , 1980 .

[10]  Dan Farrell,et al.  Patterns of Political Behavior in Organization , 1982 .

[11]  Janet P. Near,et al.  The Whistleblowing Process , 1983 .

[12]  Marcia P. Miceli,et al.  The Relationships Among Beliefs, Organizational Position, and Whistle-Blowing Status: , 1984 .

[13]  Marcia P. Miceli,et al.  Potential Predictors of Whistle-Blowing: A Prosocial Behavior Perspective , 1985 .

[14]  Marcia P. Miceli,et al.  Characteristics of organizational climate and perceived wrongdoing associated with whistle-blowing decisions. , 1985 .

[15]  S. J. Motowidlo,et al.  Prosocial Organizational Behaviors , 1986 .

[16]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[17]  J. W. Graham,et al.  Principled organizational dissent: A theoretical essay. , 1986 .

[18]  Marcia P. Miceli,et al.  Retaliation against whistle blowers: Predictors and effects. , 1986 .

[19]  Janelle Brinkler Dozier,et al.  Is whistle-blowing helping behavior? : a laboratory study of team member reporting of an unethical team leader , 1988 .

[20]  Jordan J. Louviere,et al.  Analyzing Decision Making , 1988 .

[21]  Jordan J. Louviere,et al.  Analyzing Decision Making: Metric Conjoint Analysis , 1988 .

[22]  Marilyn S. Blackburn,et al.  Employee dissent : the choice of voice versus silence , 1988 .

[23]  Paul E. Green,et al.  Conjoint Internal Validity Under Alternative Profile Presentations , 1988 .

[24]  John Dickhaut,et al.  Escalation Errors and the Sunk Cost Effect: An Explanation Based on Reputation and Information Asymmetries , 1989 .

[25]  John P. Keenan,et al.  Upper-level managers and whistleblowing: determinants of perceptions of company encouragement and information about where to blow the whistle , 1990 .

[26]  Marcia P. Miceli,et al.  Blowing the Whistle on Data Fudging: A Controlled Field Experiment1 , 1991 .

[27]  Marcia P. Miceli,et al.  Blowing the whistle : the organizational and legal implications for companies and employees , 1993 .

[28]  Richard L. Priem An application of metric conjoint analysis for the evaluation of top managers' individual strategic decision making processes: A research note , 1992 .

[29]  Mark J. Garratt,et al.  Efficient Experimental Design with Marketing Research Applications , 1994 .

[30]  Paul Harrison,et al.  An incentive to shirk, privately held information, and managers' project evaluation decisions , 1994 .

[31]  Effy Oz,et al.  When professional standards are lax: the CONFIRM failure and its lessons , 1994, CACM.

[32]  Mark Keil,et al.  Pulling the Plug: Software Project Management and the Problem of Project Escalation , 1995, MIS Q..

[33]  L. Hosmer TRUST: THE CONNECTING LINK BETWEEN ORGANIZATIONAL THEORY AND PHILOSOPHICAL ETHICS , 1995 .

[34]  Brad Tuttle,et al.  Moral Hazard, Ethical Considerations, and the Decision to Implement an Information System , 1997, J. Manag. Inf. Syst..

[35]  Mark Keil,et al.  Turning Around Troubled Software Projects: An Exploratory Study of the Deescalation of Commitment to Failing Courses of Action , 1999, J. Manag. Inf. Syst..

[36]  Marcia P. Miceli,et al.  Can Laws Protect Whistle-Blowers? , 1999 .

[37]  Frances J. Milliken,et al.  Organizational Silence: A Barrier to Change and Development in a Pluralistic World , 2000 .

[38]  Eje Eric Molin,et al.  A Comparison of Full Profile and Hierarchical Information Integration Conjoint Methods to Modeling Group Preferences , 2000 .

[39]  Mark Keil,et al.  Why Software Projects Escalate: An Empirical Analysis and Test of Four Theoretical Models , 2000, MIS Q..

[40]  Mark Keil,et al.  Blowing the whistle on troubled software projects , 2001, CACM.

[41]  Mark Keil,et al.  Keeping Mum as the Project Goes Under: Toward an Explanatory Model , 2001, J. Manag. Inf. Syst..

[42]  S. West,et al.  A comparison of methods to test mediation and other intervening variable effects. , 2002, Psychological methods.

[43]  Mark Keil,et al.  The challenge of accurate software project status reporting: a two-stage model incorporating status errors and reporting bias , 2002, IEEE Trans. Engineering Management.

[44]  Ramiro Montealegre,et al.  Reporting bad news about software projects: impact of organizational climate and information asymmetry in an individualistic and a collectivistic culture , 2003, IEEE Trans. Engineering Management.

[45]  Mark J. Martinko,et al.  The Decision to Blow the Whistle: A Social Information Processing Framework , 2003 .

[46]  Mark Keil,et al.  The reluctance to report bad news on troubled software projects: a theoretical model , 2003, Inf. Syst. J..

[47]  David Gefen,et al.  What Makes an ERP Implementation Relationship Worthwhile: Linking Trust Mechanisms and ERP Usefulness , 2004, J. Manag. Inf. Syst..

[48]  Mark Keil,et al.  'Why didn't somebody tell me?': climate, information asymmetry, and bad news about troubled projects , 2004, DATB.

[49]  Ashley A. Bush,et al.  A Comparison of Transaction Cost, Agency, and Knowledge-Based Predictors of IT Outsourcing Decisions: A U.S.-Japan Cross-Cultural Field Study , 2007, J. Manag. Inf. Syst..

[50]  Mark Keil,et al.  The effects of optimistic and pessimistic biasing on software project status reporting , 2007, Inf. Manag..

[51]  James R. Van Scotter,et al.  Antecedents and Outcomes of Retaliation Against Whistleblowers: Gender Differences and Power Relationships , 2008, Organ. Sci..

[52]  S. Thompson Social Learning Theory , 2008 .