To some extent, unethical behavior results from people's limited attention to ethical considerations, which results in an ethical blind spot. Here, we focus on the role of ambiguity in shaping people's ethical blind spots, which in turn lead to their ethical failures. We suggest that in ambiguous settings, individuals' attention shifts toward tempting information, which determines the magnitude of their lies. Employing a novel ambiguous-dice paradigm, we asked participants to report the outcome of the die roll appearing closest to the location of a previously presented fixation cross on a computer screen; this outcome would determine their pay. We varied the value of the die second closest to the fixation cross to be either higher (i.e., tempting) or lower (i.e., not tempting) than the die closest to the fixation cross. Results of two experiments revealed that in ambiguous settings, people's incorrect responses were self-serving. Tracking participants' eye movements demonstrated that people's ethical blind spots are shaped by increased attention toward tempting information.
Although dishonesty is often a social phenomenon, it is primarily studied in individual settings. However, people frequently collaborate and engage in mutual dishonest acts. We report the first meta-analysis on collaborative dishonesty, analyzing 87,771 decisions (21 behavioral tasks; k = 123; n participants = 10,923). We provide an overview of all tasks used to measure collaborative dishonesty, and inform theory by conducting moderation analyses. Results reveal that collaborative dishonesty is higher (a) when financial incentives are high, (b) in lab than field studies, (c) when third parties experience no negative consequences, (d) in the absence of experimental deception, and (e) when groups consist of more males and (f) younger individuals. Further, in repeated interactions, group members' behavior is correlated-participants lie more when their partners lie-and lying increases as the task progresses. These findings are in line with the justified ethicality theoretical perspective, suggesting prosocial concerns increase collaborative dishonesty, whereas honest-image concerns attenuate it. We discuss how findings inform theory, setting an agenda for future research on the collaborative roots of dishonesty. Public Significance StatementWe present the first meta-analysis on collaborative dishonesty-when groups can lie to increase the group's profits-covering 87,771 decisions made by 10,923 people engaging in 21 different experimental tasks. Results reveal various situational and personal factors shape collaborative dishonesty, including, for example, that group members affect each other's behavior over time. We propose that prosocial and honest-image concerns drive collaborative dishonesty.
Corruption is often the product of coordinated rule violations. Here, we investigated how such corrupt collaboration emerges and spreads when people can choose their partners versus when they cannot. Participants were assigned a partner and could increase their payoff by coordinated lying. After several interactions, they were either free to choose whether to stay with or switch their partner or forced to stay with or switch their partner. Results reveal that both dishonest and honest people exploit the freedom to choose a partner. Dishonest people seek a partner who will also lie—a “partner in crime.” Honest people, by contrast, engage in ethical free riding: They refrain from lying but also from leaving dishonest partners, taking advantage of their partners’ lies. We conclude that to curb collaborative corruption, relying on people’s honesty is insufficient. Encouraging honest individuals not to engage in ethical free riding is essential.
There is individual variation in the extent to which individuals believe it is acceptable to violate legal rules. However, we lack a specific measure that assesses this key internal element of legal decision-making and offending. This article describes the development, validation, and testing of the Rule Orientation scale. At its core, the construct captures the extent to which one thinks about rules in a rigid, rule-oriented manner or in a manner that recognizes exceptions. In the first study, we develop the Rule Orientation scale, demonstrate its convergent and divergent validity with key legal and moral reasoning scales, and find that Rule Orientation relates to hypothetical offending behavior across a variety of low-level crimes. In the second study, we examine whether Rule Orientation predicts the propensity to engage in digital piracy both with and without the explicit threat of punishment. The results indicate that Rule Orientation plays a crucial role in predicting offending behavior and, importantly, does so across enforcement contexts. The findings suggest that an individual with low Rule Orientation may be able to justify offending regardless of whether a system explicitly declares an enforcement campaign, regardless of how the individual perceives the severity of the threatened sanction, and regardless of whether the individual believes social norms support law violation. In understanding ethical decision-making, criminal decision-making, and other strands of legal decision-making, identifying such individual variation is crucial.
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