Moral Disengagement and Organizations
Moral Disengagement and Organizations
- Catherine HessickCatherine HessickDepartment of Accounting, Business , Economics & Finance, Muhlenberg College
Summary
One does not need to look extensively to find examples of organizations behaving unethically in today’s society. With the passage of whistleblower laws and the increased attention to ethical behavior in recent years, many businesses focus on training in order to reduce unwanted behavior. Despite organizations transitioning to more engaging, substantial ethical training programs for their employees, unethical behavior still remains. Moral disengagement, in part, could be the reason. Moral disengagement is when an individual deliberately deactivates their moral self-regulations, allowing the individual to commit unethical acts without shame or guilt.
Moral disengagement has eight mechanisms: moral justification, euphemistic labeling, advantageous comparison, displacement of responsibility, diffusion of responsibility, distortion of the consequences, dehumanization, and attribution of blame. Each of these mechanisms offers insight into why and how moral disengagement operates within individuals. Because an individual’s reasoning can fall into either a single mechanism or a combination of them, measurement tools commonly place each mechanism as a dimension of moral disengagement. Doing so allows the researcher to examine the construct and its relationships more accurately.
The research investigating unethical behavior in organizations is substantial. However, moral disengagement is an antecedent to unethical behavior and not necessarily an unethical act itself. Previous research on moral disengagement often lies within psychology, military science, sociology, and other nonbusiness fields. With the depths of moral disengagement in the workplace still unexplored, scholars have opportunities to contribute research that can help organizations understand moral disengagement, improve ethical training, and potentially curtail employees’ unethical behavior.
Subjects
- Ethics
Foundation of Moral Disengagement
Moral disengagement was first introduced by renowned psychologist Albert Bandura, under the self-regulation facet of social cognitive theory (1986). The theory states a person acts as a moral agent, thus having the ability to make decisions concerning the rightness or wrongness of an action. Through moral self-regulation individuals act in ways that encourage good behavior and discourage undesirable behavior. Bandura (1999) hypothesized that if individuals can activate their moral self-regulation then they can also intentionally deactivate it. When the self-regulation deactivation occurs, individuals no longer abide by their personal standards. In turn, these individuals commit unethical acts without feelings shame or guilt (Bandura, 1986, 1991; Schaefer & Bouwmeester, 2021). Therefore, moral disengagement is defined as the cognitive process whereby an individual purposively deactivates the self-regulation of their moral standards, thus allowing them to engage in unethical behavior without feeling distress (Bandura, 1986; Moore, 2015).
Moral disengagement is not a form of unethical behavior but an antecedent of it (Detert et al., 2008; Moore, 2015). When a person morally disengages, they are not committing any unethical actions, but permitting any future unethical acts to be morally allowable (Shu et al., 2011). In research, moral disengagement is commonly utilized as a mediator or a moderator (Table 1). When assuming the role of a mediator, moral disengagement is a process and a mechanism for change in which moral boundaries are shifted (Moore, 2015). In previous literature, authors employ moral disengagement as a mediator in a variety of relationships including the ethics of leaders and the likelihood to engage in unethical behavior (Moore et al., 2012); ethical leadership and workplace deviance (Liu et al., 2012); psychological entitlement and abusive supervision (Eissa and Lester, 2021); organizational and environmental complexities (Seriki et al., 2020); the act of cheating and being unable to recall moral rules (Shu et al., 2011); and organizational climate and interpersonal deviance (Saidon & Ab Ghani, 2020). Moral disengagement is also perceived as a trait, or a disposition, and utilized as a moderator. In this role, moral disengagement either increases or decreases the effect of the independent on the dependent variables. For example, previous literature demonstrates dispositional moral disengagement’s ability to provoke retaliatory behavior (White-Ajmani & Bursik, 2014), moderate the relationship between negative affect and counterproductive workplace behavior (Samnani et al., 2014), and be less influential because of ethical leadership (Bonner et al., 2016).
Table 1. Overview of Moral Disengagement Studies
Overview of Moral Disengagement Studies | |||||||||||
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Reference | Type of study | Use of moral disengagement in study | Significant antecedents, outcomes, and moderators | Use of moral disengagement | |||||||
Independent variable | Moderator | Mediator | Dependent variable | Antecedents | Outcomes | Moderator | As moderator | Levels of analysis | Moral disengagement measure | ||
Quantitative (experimental) | X | Team size (DR 0.57**, D.18*, AB 0.27**) | Idea generation (DR −0.21*, D −0.32*, AB − 0.24**) | Collective | Own 3 dimension scale (diffusion of responsibility, dehumanization and attribution of blame) | ||||||
Team dispersion (0.59**) | |||||||||||
Quantitative (cross-sectional) 2 studies | X | Psychological contract breach (PCB) (0.09**, 0.13**) | Counterproductive work behavior (CWB) (0.23**, 0.18**) | Internal attribution for counterproductive work behavior (+moderated the PCB-CWB through MD) | Individual | ||||||
Quantitative (longitudinal) | X | Motivation for financial gain (0.11*) | Unethical decision making (0.45**) | Individual | |||||||
Quantitative (experimental) | X | Unethical behavior (MJ 0.36**, DR 0.29*) | Participation in goal setting (− moderated the MJ-unethical behavior relationship) | Individual | Own 2 dimension scale (moral justification, diffusion of responsibility) | ||||||
Quantitative (experimental) | X | Earnings management ethics (0.31**) | Incentive conflict (+ moderated the MD-discretionary accruals relationship) | Individual | |||||||
Quantitative (longitudinal) | X Supervisor’s moral disengagement | X Employee’s moral disengagement | Ethical leadership (supervisor’s MD − 0.46**, employee’s MD − 0.46**) OCBO and OCBI through ethical leadership | Employee’s MD (− moderated the relationship between supervisor’s MD and OCBO/OCBI/performance through ethical leadership) | Team and individual level | ||||||
Quantitative (experimental and longitudinal) 3 studies | X | Organizational identification (0.42**, 0.25*) | Unethical pro-organizational behavior (UPB) (1.76**, 0.36*) | Interorganization competition (+ moderated the organizational identification and UPB relationship through MD) | Individual | Study 1: Moore et al. (2012) | |||||
Studies 2 and 3: 1 moral justification item (Moore et al. 2012) and own 2-item scale | |||||||||||
Quantitative (cross-sectional) | X | Organizational deviance behaviors (0.21**) | Turnover intentions (+ moderated the MD− org deviance behaviors relationship) | Individual | |||||||
Quantitative (experimental) | X | Unethical decision-making (+) | Attachment anxiety (−) moderated the MD− unethical decision-making relationship | Individual | |||||||
Quantitative (cross-sectional) | X | Organizational climate (− 0.30**) | 2 measures of workplace harassment (0.34** and 0.28**) | Individual | Bandura et al. (1996) MMDS | ||||||
Job satisfaction (− 0.29**) | |||||||||||
Quantitative (cross-sectional) | X | Delinquency (0.13**) | Individual | ||||||||
Approval of unethical negotiation behavior (0.51**) | |||||||||||
Quantitative (experimental and longitudinal) | X | Moral disengagement of observer (− moderated the leader’s social account for employees unethical conduct with MD language− intention to ostracize the leader through perceived leader social account ethicality) | Individual | ||||||||
2 studies | |||||||||||
Quantitative (longitudinal) | X | Empathy (− 0.10**) | Unethical decision-making (0.56**) | Individual | Develop new measure: Detert et al. (2008) | ||||||
Trait cynicism (0.10**) | |||||||||||
Chance locus of control (0.09**) | |||||||||||
Moral identity (− 0.13) | |||||||||||
Quantitative | X | Security-related stress (SRS) (0.36**) | Information security policy (ISP) violation intention (0.52**) | Individual | Adapted Bandura et al. (1996) MMDS | ||||||
(experimental) | |||||||||||
Quantitative (longitudinal) | X | Envy (0.44**, 0.29) | Social undermining (0.22**, 0.07**) | Social identification (− moderated the envy-social identification relationship through MD) | Individual | ||||||
2 studies | Team identification (− moderated the envy-social identification relationship through MD, especially so when team undermining norms are high) | ||||||||||
Quantitative (cross-sectional) | X | Negative emotions (0.33**) | Counterproductive work behavior (CWB) toward individuals (0.46**) | Individual | Own scale | ||||||
CWB toward organization (0.35**) | |||||||||||
Quantitative (cross-sectional) | X | Altruism (− 0.28**) | Individual | Own scale—Nursing moral disengagement scale | |||||||
Civic virtue (− 40**) | |||||||||||
Conscientiousness (− 15**) | |||||||||||
CWB toward organization (0.31**) | |||||||||||
CWB toward individuals (0.28**) | |||||||||||
Quantitative (longitudinal) | X | Cheating behavior (0.39**, 0.18**) | Individual | Academic moral disengagement scale: Farnese et al. (2011) | |||||||
Quantitative (longitudinal) | X | Compulsory citizenship behavior (0.22**) | Silence (0.33**) | Supervisor-subordinate guanxi (− moderated the CCB-moral disengagement relationship and the CCB-silence relationship through moral disengagement) | Individual | ||||||
Quantitative (cross-sectional) | X | Leadership self-efficacy (− 0.19**) | Individual | Adapted Bandura et al. (1996) MMDS− to focus on 5 mechanisms | |||||||
Affective motivation to lead (− 0.10*) | |||||||||||
Noncalculative motivation to lead (0.29**) | |||||||||||
Quantitative (cross-sectional) | X | Ethical leadership (− 0.47**) | Collective organizational deviance (COD) toward individuals and groups (0.46**, 0.32**) | Power distance climate (+ moderated the ethical leadership/group moral disengagement relationship) | Team | ||||||
Quantitative (longitudinal) | X | Job insecurity (0.37**, 0.12*) | Organizational deviance (0.26*, 0.12**) | Alternative employment opportunity (+ moderated the job insecurity− organizational deviance and job insecurity− intentions to leave relationship through MD) | Individual | ||||||
2 studies | Interpersonal deviance (0.20*, 0.12**) | Leader/member exchange (− moderated the job insecurity − organizational deviance relationship and the job insecurity − intentions to leave relationship through MD) | |||||||||
Intentions to leave (0.28**) | |||||||||||
Quantitative (cross-sectional) | X | Organizational injustice (0.29**) | Deviant work behavior (0.26*) | Individuals | Adapted Bandura et al. (1996) MMDS− to focus on 2 mechanisms | ||||||
Quantitative (longitudinal) | X | Dispositional creativity (− 0. 03**, | Unethical behavior (0.36**, 0.26**) | Moral identity (+ moderated dispositional creativity and MD relationship) | Individual | Study 1: Moore et al. (2012) | |||||
2 studies | − 0.31**) | Study 2: Adapted Bandura et al. (1996) MMDS | |||||||||
Quantitative (experimental) 3 studies (report results of study 3) | X | Gender (**) women lower levels of MD across three studies | Endorsement of unethical negotiation tactics (0.45**) | Individual | Adapted Bandura et al. (1996) MMDS | ||||||
Moral identity strength (− 0.24**) | |||||||||||
Quantitative (experimental) | X | Harm (+ moderated personal gain opportunity-MD relationship) | Individual | Own measure (attribution of blame, distortion of consequences) | |||||||
Conscientiousness (− moderated the personal gain opportunity-MD relationship) | |||||||||||
Quantitative (experimental) 2 studies | X | Authenticity (− 0.33**, − 0.24**) | Unethical behavior (0.16*, 0.29**) | Situational strength (+ moderated moral disengagement-unethical behavior relationship) | Individual | ||||||
Quantitative (longitudinal) | X | Resource depletion (0.31**) | Undermining behavior (0.36**) | Moral identity (− moderated the moral disengagement-undermining behavior relationship) | Individual | ||||||
Quantitative (longitudinal) | X | Psychological entitlement (0.37) | Unethical pro-organizational behavior (0.33) | Individual | |||||||
Counterproductive work behavior (0.66) | |||||||||||
Quantitative (cross-sectional) | X | Moral identity (internalization) (− 0.28**) and moral personality (− 0.33**) through ideology | Individual | Develop new measure: McFerran et al. (2010) | |||||||
Quantitative (longitudinal) 5 studies | X | Unethical behavior (0.22**) | Individual | Develop new measure: Moore et al. (2012) | |||||||
Unethical decision-making (0.23**) | |||||||||||
Self-serving decision (0.23**) | |||||||||||
Supervisor and co-worker-rated unethical behavior (0.27**, 0.49**) | |||||||||||
Quantitative (three-waved field survey, experimental) 4 studies | X | Study 1: Ethical leadership (− 0.18**) for supervisor reported outcome; (− 0.17**) from co-worker reported outcomes | Study 1: Employee deviance (0.20**) Employee unethical behavior (0.19**) from supervisor reported outcomes; Employee deviance (0.10+); Employee unethical behavior (0.13**) from co-worker reported outcomes | Employee moral identity (moderated the relationships between ethical leadership and employee deviance and employee unethical behavior via MD but the results are varied across studies) | Individual | Study 1: Moore et al. (2012) | |||||
Study 4: (Ethical leadership − 0.10+) | Study 4: Employee deviance (0.11*); Employee unethical behavior (0.15**) from co-worker reported. | Study 2: adapted Moore et al. (2012)—4 items for displacement and diffusion of responsibility; attribution of blame | |||||||||
Study 3: Bandura, et al. (1996)—4 items subscale for moral justification | |||||||||||
Study 4: Moore et al. (2012) | |||||||||||
Quantitative (longitudinal) | X | X | Turnover (− 0.80**) | MD positively moderated the perceptions of organizational ethics-turnover relationship | Individual | Detert et al. (2008)—short 8-item version | |||||
Quantitative (experimental) | X | 2 measures of unethical behavior (0.28**, 0.24*) | Performance goals (+ moderated the moral justification-unethical behavior relationship) | Individual | Barsky 2011—4-item subscale for moral justification | ||||||
Quantitative (cross-sectional) | X | Deviant behavior (0.67**) | Perceived normative conflict (+ moderated the MD − deviant behavior relationship) | Individual | Own scale | ||||||
Procurement planning behavior (− moderated the MD − deviant behavior relationship) | |||||||||||
Quantitative (cross-sectional) | X | Honesty-humility (− 0.35**) | Self and other-rated perceptions of leadership emergence (− 0.18*, − 0.21*, − 0.15*) | Individual | |||||||
Quantitative (cross-sectional) | X | Self-monitoring (0.15*) | Unethical decision-making (0.55*) | Individual | |||||||
Quantitative (longitudinal) | X | Leader behavior (− 0.19*) | Ethical behavior (− 0.68**) | Individual | Detert et al. (2008)—short 18 item version. | ||||||
Unethical behavior (0.80**) | |||||||||||
Quantitative (cross-sectional) | X | Technocratic culture (0.37**) | Accident under reporting (0.24**) | Individual | 12-item Job safety moral disengagement scale. | ||||||
Bureaucratic culture (− 0.16**) | |||||||||||
Quantitative (experimental) | X | MD led in-group punishers to punish out-group transgressors more severely. | Individual | Bandura et al. (1996) MMDS | |||||||
Quantitative (cross-sectional) 5 studies | No significant findings in relation to moral disengagement | Individual | |||||||||
Quantitative (cross-sectional) | X | MD positively moderated the negative affect − counterproductive work behaviors relationship | Individual | ||||||||
Quantitative (longitudinal) | X | Psychopathy (0.29**) | Unethical decision making (0.69**) | Individual | Participants’ response to ethical scenarios. Item adapted from Detert et al. (2008) | ||||||
Quantitative (cross-sectional) 2 studies | X | Implicit negotiation beliefs (0.44**, 0.61**) | Use of deception tactics (0.16**, 1.33**) | Individual | |||||||
Quantitative (experimental and longitudinal) 2 studies | X | Perceptions of organizational politics (0.52**, 0.16*) | Unethical pro-organizational behavior (0.77**, 0.88**) | Prevention focus (+ moderated the moral disengagement-unethical pro-organizational behavior relationship) | Individual | ||||||
Quantitative (experimental) 3 studies | X | Gradual (versus abrupt) changes in ethicality of ethical decisions an individual has to make (+**) | Unethical behavior (0.24**, 0.42** | Prevention focus (− moderated the gradual changes − unethical behavior relationship) | Individual | Adapted 2-items from Moore et al. (2012) | |||||
Quantitative (longitudinal) 2 studies | X | Creativity (ns in both studies) | Workplace deviant behavior (0.58**) | Moral identity (− moderated the creativity − MD relationship) | Team and individual |
Note: From “Moral Disengagement at Work: A Review and Research Agenda.” Newman, A., Le, H., North-Samardzic, A., & Cohen, M. (2020).
Journal of Business Ethics, 167(3), p. 542–553; Copyright 2019 by Springer Nature B.V.
+p ≤ 0.10; *p ≤ 0.05; **p ≤ 0.01; +=positive relationship; −=negative relationship
Mechanisms
Moral disengagement has eight mechanisms separated into three categories. The first category, intelligent reconstruction of the act, includes the mechanisms of moral justification, euphemistic labeling, and advantageous comparison (Bandura, 2016). The tendency among most people is to refrain from harming others; however, individuals can justify their harmful behavior by restructuring the morality of the act (i.e., moral justification). For example, the killing of another person is considered by many to be an unconscionable, highly immoral act. Yet, the military requires their people to do such an act when absolutely necessary in combat. Through the training received, military personnel have restructured the morality of murder in order to protect and serve their country (Bandura, 1986).
Another reconstruction of the act can take place through language and comparison. Euphemistic labeling is the changing of the language to reduce how unethical an action is perceived (Bandura, 1986). For instance, instead of admitting to stealing, one may say they are simply “borrowing” the item though no intention for its return exists. When it comes to advantageous comparison, it is the problem being reconstructed. By comparing the unethical behavior (e.g., plagiarizing a homework assignment) to an even more unethical act (e.g., cheating on an exam), a student attempts to convince the instructor their actions were less unethical (i.e., the lesser of two evils). Of course, in reality, both actions are still wrong.
The second category of mechanisms concerns minimizing the role one played in the act and includes the displacement of responsibility, diffusion of responsibility, and the distortion of the consequences. When an authority figure directs an unethical act to be committed, oftentimes the individual will act. In these situations, the individual displaces the responsibility onto another, thus allowing the act to commence without creating negative feelings (Bandura, 1986). In times when the unethical act is a group decision, the diffusion of responsibility onto the group permits an individual to experience fewer negative emotions. In fact, the more consequences worsen from a shared decision, the less responsibility any sole individual will feel (Shippee & Christian, 1978). Furthermore, an individual may disregard the consequences of an unethical act entirely if the victim is unseen or part of a larger group (i.e., distorting the consequences).
The final category involves focusing on the behavior of the victim as a means for justification. As humans, people form connections through shared experiences and emotions. Yet, in times of unethical behavior, a person may find themselves using the mechanism of dehumanization (Bandura, 1986). When others are perceived as subhuman, the failure to acknowledge their feelings, rights, and liberties transpires. As a result, the shame or guilt stemming for the wrongdoing is removed. Additionally, a person may shift the blame of the unethical act onto the victim (i.e., he or she deserved it). Through the mechanism of attribution of blame, individuals deflect the responsibility and morally justify the unethical behavior (Bandura, 1986).
The previous eight mechanisms of moral disengagement can explain how unethical behavior can be committed by a seemingly ethical person. Hence, it is important to understand an episode of moral disengagement does not equate, necessarily, to an unethical life. Becoming an unethical person happens gradually over time and may be undetected by the individual or others. To truly be free from the negative effects of immoral behavior, repeated deactivation of the self-regulation process must occur.
Measurements
Researchers interested in measuring moral disengagement have a variety of scales at their disposal. Bandura et al. (1996) developed the initial 32-item scale that captures the eight mechanisms of moral disengagement. Established for research involving children, only a handful of studies use this scale (Claybourn, 2011; D’Arcy et al., 2014; Hinrichs et al., 2012; Hystad et al., 2014; Kennedy et al., 2017).
Detert et al. (2008) recognized the need for a more suitable scale for working adults. By modifying Bandura et al.’s scale, the authors created a multidimensional 24-item measure. Unlike Bandura’s scale, which measures moral disengagement as a “state,” Detert et al.’s measurement tool conceptualizes moral disengagement as a “trait,” thus capturing an individual’s propensity to morally disengagement. Prior research has demonstrated the reliability and validity of the scale (Baron et al., 2015; Christian & Ellis, 2014; Chugh et al., 2014; Ogunfowora et al., 2013).
Detert et al. (2008) is not the only paper to modify Bandura et al.’s (1996) scale. McFerran et al. (2010) adapted the original 32-items and developed a 15-item scale. Unfortunately, this measurement tool fails to include all eight mechanisms of moral disengagement, and thus viewed as subpar when compared to rival scales. To date, the McFerran et al. scale has appeared in a total of three articles (Duffy et al., 2012; Huang et al., 2017; McFerran et al., 2010).
In 2012, Moore et al. developed and validated a new measure not based on the Bandura et al. (1996) scale. Instead, Moore et al. (2012) used the theoretical definition of each mechanism as the foundation for the measure. As an exemplar of scale development, Moore et al. (2012) methodically documented the discriminant and convergent validity of moral disengagement. Additionally, the scale has multiple versions (24-item, 16-item, and 8-item) in which researchers can use depending on the need. Moore et al.’s (2012) scale is considered a parsimonious measure that reliably captures an individual’s propensity to morally disengagement. As a result, its application is seen throughout the literature including He et al. (2019), Moore et al. (2019), Zheng et al. (2019), Bonner et al. (2016), and Cohen et al. (2014), to name a few.
Despite most researchers using reputable scales, it bears mentioning no consistent method to measure moral disengagement exists. With ad hoc and context-specific scales appearing in the literature (e.g., Barsky, 2011; Fida et al., 2015; Fisher et al., 2021; Petitta et al., 2017), measuring moral disengagement has become convoluted. Therefore, to increase the generalizability across studies and preserve internal validity, Newman et al. (2020) recommends researchers employ the Moore et al. (2012) scale in their future research as it incorporates all eight mechanisms, can measure moral disengagement as either a process or trait construct, and offers longer and shorter versions.
Moral Disengagement Outside of Business
Though the focus of this article is moral disengagement within business organizations, it is important to mention that moral disengagement can be examined in any field where people are the participants. For example, McAlister et al. (2001) explores cultural differences in moral disengagement and how they affect attitudes toward war whereas Grussendorf et al. (2002) investigates rejecting moral disengagement in support of peace instead of war. Roccas et al. (2006) assessed the mediating role of moral disengagement in the relationship between two in-group modes of national identification and reactions to moral violations committed by the in-group. Guo et al. (2021) conduct research examining negative workplace gossip, moral disengagement, and unethical behavior in the hospitality field. Additional research investigates how the differences between religious and secular education affect the association between personal morals and attitudes toward moral disengagement (Sverdlik & Rechter, 2020), how moral disengagement affects the development of antisocial behaviors (Hyde et al., 2010), and the role moral disengagement plays concerning school violence and aggressive behavior (Gini et al., 2014; Killer et al., 2019; Runions et al., 2019; Thornberg & Jungert, 2014; Wang et al., 2021). These examples comprise of a mere fraction of the moral disengagement literature, which according to a Google Scholar search includes more than 170,000 results.
Moral Disengagement in the Workplace
From WorldCom in the early 2000s to the global financial crisis in 2008 to the fraudulent activities of small business regarding the United States’ Paycheck Protection Program of 2020, corporations see their fair share of unethical behavior. While companies acting unethically is not a new phenomenon, it was Enron, an energy service and commodities provider, who amplified the spotlight on ethics. In the late 1990s and early 2000s, Enron saw tremendous revenue growth with an increase of $69 billion dollars in a two year period. Yet by February 2002, Enron and Enron Europe both filed for bankruptcy and Arthur Anderson, the accounting firm for Enron, dissolved (Rashid, 2021). The cause of Enron’s demise was unethical accounting practices and a toxic organizational culture stemming from unethical top management. Company leaders created nonexistent holdings, used special-purpose entities, and exploited loopholes in generally accepted accounting principles (GAAP) to hide Enron’s massive debt from shareholders and investors. As a result, employees and their 401(k) plans, creditors, and shareholders all suffered substantial losses.
German auto manufacturer Volkswagen is a more recent example of unethical behavior in the workplace. In September 2015, an investigation found engineers deliberately altered software in their diesel engine vehicles (Zu, 2022). By working as a team, employees embedded code for a “defeat device,” which directed the emissions controls to activate only during laboratory testing. This enabled otherwise unpassable vehicles to meet the rigorous United States EPA emissions standards (Jung & Sharon, 2019). Similarly to Enron, Volkswagen employees’ unethical actions are attributed to a toxic corporate culture where employee expectations were to meet demands no matter what (Goodman, 2015).
Enron and Volkswagen are only two entities in a lengthy list of ethical scandals that include Adelphia, WorldCom, Wells Fargo, Theranos, Lance Armstrong and the Livestrong Foundation, and Facebook. These and more incidences not only prompt organizations to engage in more ethical training (Hauser, 2020), but also inspire researchers to examine the cause of such behavior. As a result, research indicates that some of those committing unethical acts used moral disengagement to justify their misconduct (Barsky, 2011; Dang et al., 2017; Hinrichs et al., 2012).
In the beginning, moral disengagement was conceptualized at the individual level. As Bandura (1986) explained, moral disengagement is the intentional deactivation of the self-regulation process. Prior research has established numerous antecedents of moral disengagement. For example, moral identity refers to how one perceives themselves in terms of moral traits, such as empathic, honest, and fair (Aquino & Reed, 2002). When examining the moral identities of genders, research found women tend to have stronger moral identity, which in turns helps them dampen the temptation of participation in unethical behavior (Kennedy et al., 2017). Moral identity can be utilized alone or in combination with other antecedents such as locus of control. Locus of control is defined as how much control one believes they have over the events of their lives and is separated into the categories of internal (i.e., the individual has control), chance (i.e., events happen randomly by fate), and power (i.e., powerful others control your life’s events; Levenson, 1981). Detert et al. (2008) investigated the affect moral identity, locus of control (internal, chance, and power), empathy, and trait cynicism had on moral disengagement. The authors found that empathy and moral identity had a negative relationship while chance locus of control and trait cynicism had a positive relationship with moral disengagement. These four antecedents, along with ethical predispositions (Dong et al., 2021), dispositional creativity (Keem et al., 2018), job insecurity (Huang et al., 2019), and high performance goals (Welsh et al., 2020) are simply a few on the list of possible antecedents for moral disengagement. Unethical behavior is commonly used as the outcome for moral disengagement; however, it is important to note that unethical behavior is an umbrella term and as such, can encompass a vast number of topics including unethical pro-organizational behavior (Chen et al., 2016; Lee et al., 2019; Valle et al., 2019), harassment (Claybourn, 2011), organizational and interpersonal deviance (Christian & Ellis, 2014; Huang and Yan, 2014; Hystad et al., 2014; Zhao et al., 2021; Zheng et al., 2019), abusive supervision (Eissa & Lester, 2021), and more.
For some unethical behaviors, the culprit is not always an individual (White et al., 2009). Knoll et al. (2016) defines unethical behavior as any action by an individual or group that results in an undeserved advantage or is the source of undeserved, unacceptable harm toward another party. Hiekkataipale and Lämsä (2019), Johnson and Buckley (2015), Martin et al. (2014) and Ashforth and Anand (2003) have all argued a collective moral disengagement construct exists. In other words, the moral self-regulation process once considered solely internal may actually be influenced by external factors (e.g., coworkers, friends, etc.). It is not unheard of that a manager persuades their employees to commit an unethical act or a corporate culture that tolerates unethical behavior. When pressure and a toxic environment exist, even the most ethical employees can find themselves in the midst of moral disengagement.
Though collective moral disengagement is at the forefront of many ethical scandals, such as Volkswagen and Tyco, research focused on moral disengagement operating at the group level is slow to emerge. Alnuaimi et al. (2010) explores how team size and dispersion affects social loafing (i.e., withholding contributions in a team setting) when mediated by three of the eight dimensions of moral disengagement—dehumanization, attribution of blame, and diffusion of responsibility. The authors discover when team size increased, members were less likely to contribute ideas due to their belief they were less responsible for helping reach the team’s goal. Additionally, members on the larger teams attribute blame to others for their own social loafing as well as had higher levels of dehumanization perceptions. Both Huang et al. (2017) and Zheng et al. (2019) assess the relationship between moral disengagement and deviance at the group level. Huang et al. (2017) focuses on job insecurity and leader-member exchange how it might influence employees to morally disengage and participate in workplace deviance as well as actively pursue other employment. Zheng et al. (2019) conducted two multisource field studies to examine the effect creativity and moral identity has on moral disengagement, and subsequently, workplace deviant behavior. In both articles, the findings suggest managers should consider the team as individual members and as a whole when setting goals and attempting to mitigate unethical behavior.
Compared to the individual level, research on collective moral disengagement is far less prevalent in the literature. This could be due to the barriers researchers face. First, researchers typically examine moral disengagement at the individual level, thus utilizing established scales, such as Moore et al. (2012) and Detert et al. (2008). A measure for collective moral disengagement has yet to be developed which forces researchers to either adapt an individual-level scale or create their own. As outlined by Moore et al. (2012), proper scale development is an incredibly time consuming, complex endeavor consisting of multiple rounds of studies to demonstrate reliability and validity. Therefore, researchers need to be willing to invest the resources, time, and energy needed to take on such a project (Morgado et al., 2018).
Coupled with measurement, another barrier is participation. Collective moral disengagement requires access to organizations not only to validate measures, but also collect data. Gathering data at various levels can become difficult, especially in the United States. Of the previously mentioned articles to investigate collective moral disengagement, Alnuaimi et al. (2010) utilized a lab control setting while both Huang et al. (2017) and Zhang et al. (2019) collected data from Chinese companies. To demonstrate validity, researchers would need to collect multiple matched pairs of a supervisor and their employees. Furthermore, organizations would need to permit the gathering of data on an ethical construct which could possibly lead to unfavorable findings. While it may appear the challenges of data collection are insurmountable, researchers have gathered data regarding other ethics constructs on the collective level. One such example is ethical leadership, defined as “the demonstration of normatively appropriate conduct through personal actions and interpersonal relationships, and the promotion of such conduct to followers through two-way communication, reinforcement, and decision-making” (Brown et al., 2005, p. 120). By its very nature, ethical leadership needs data from both the “leader” and the “follower.” Utilizing state agencies and snowball techniques, Letwin et al. (2016), Lin et al. (2016), and Kacmar et al. (2013) are just some examples of successful multilevel data collections found in the ethical leadership literature.
Moral Disengagement Future Research
Moral disengagement is still a relatively new construct in workplace research and thereby offers researchers numerous opportunities for future endeavors. As previously discussed, the literature is lacking research on collective moral disengagement. Though it may be difficult, future research should examine the construct more in-depth by developing and validating a measure and exploring possible antecedents and outcomes. Doing so could help inform researchers and managers, alike, on the reach of moral disengagement. For instance, if leadership at the top of the organization morally disengage, do lower level employees follow suit? Does ethical leadership from executives mitigate collective moral disengagement? With so much unknown in this area of the moral disengagement literature, the opportunities for meaningful contributions abound.
On the individual level, previous research has explored antecedents and outcomes as well as the mediating and moderating roles of moral disengagement; however, the majority of these articles focus on the justification of negative behaviors. While there are studies that examine moral disengagement’s influence on more wanted behaviors, such as ethical behavior (Palmer, 2013) and organizational citizenship behavior (Bonner et al., 2016; Fida et al., 2015), more research is warranted (Newman et al., 2020). For example, do differences between how individuals morally disengage influence whether they partake in prosocial behaviors?
Recent research by Ogunfowora et al. (2021) involves conducting a meta-analysis on the nomological network (i.e., antecedents, outcomes, etc.) of moral disengagement within the workplace. Interestedly, the authors report postmisconduct shame and guilt are positively associated with moral disengagement, a finding that contradicts Bandura’s premise of moral disengagement. Additional research is needed to support the finding, thus acting as a springboard for future research. Contributions to this area would be significant as they may lead to redefining moral disengagement.
In line with above, future research could also examine the congruence of the conceptualization and operationalization of moral disengagement. A recent article by Schaefer and Bouwmeester (2021) challenges the conceptualization of moral disengagement. The authors state current literature incorrectly combines two separate constructs, propensity to morally disengage and process moral disengagement, when defining constructs, designing studies, and measuring variables, often resulting in vague findings. Though the authors conduct a review of the literature and posit a solution by redefining process moral disengagement, future research should be conducted on this topic. If conceptualization and operationalization of moral disengagement are, indeed, mismatched in a majority of publications, opportunities to replicate studies with aligned definition and measurements could be plentiful.
Additional future research could explore the “why” of moral disengagement. Upon reviewing the literature, one may notice the studies tend to examine personality traits (e.g., cynicism, empathy, envy, etc.) as the catalyst for moral disengagement. Yet those studies do not fully examine the motivation behind morally disengaging in the workplace. It may be that some individuals morally disengage in attempt to defend or guard their organization, known as unethical pro-organizational behavior (Umphress et al., 2010). Other may selfishly commit moral disengagement for their own benefit (e.g., steal from the company).
By discovering the underlying motivation, organizations can better address ways to mitigate or eliminate moral disengagement. Companies may need to redesign their ethical training, overhaul the corporate culture, create accountability teams, or restructure incentive programs. Shu et al. (2011) found the act of reading and signing an honor code agreement lessens an individual’s moral disengagement. Would requiring a signed code of ethics decrease moral disengagement among employees? Perhaps. By examining additional strategies and tactics, future research could not only reduce moral disengagement and subsequent unethical behavior in workplace, but also enhance the company’s image and boost the bottom line.
Another fertile area of research focuses on an individual’s culture. It is well-known culture shapes how people view and behave in the world and thereby, influences an individual’s moral disengagement (Sverdlik & Rechter, 2020). An article by Cheng et al. (2021) examined the moderating effect of a boundary condition, Chinese traditionality, on the relationship between exploitative leadership and moral disengagement and found the relationship is stronger for individuals with lower levels of Chinese traditionality. Sverdlik and Rechter (2020) explored how the culture within the religiously orthodox and secular education system of Israel moderates the relationship between personal values and moral disengagement. Results show the individuals with conservative values enrolled in more orthodox institutions have lower moral disengagement and those with higher openness-to-change values have higher moral disengagement. Future research could dive deeper into cultures and subcultures and compare how they affect an individual’s moral disengagement both in and out of a work context.
Lastly, future research should examine if additional theoretical basis for moral disengagement exists. Moral disengagement directly stems from Bandura’s (1986) social cognitive theory; However, it may not be the only theoretical foundation for hypothesis. Other possible theories could be role theory, trait activation theory, or situational strength theory (Newman et.al., 2020). Black et al. (2021) proposed the theory of planned behavior be extended to include moral disengagement. The authors’ findings show support for moral disengagement being an antecedent to perceived behavioral control, attitude, and subjective norms, all predictors of the theory of planned behavior. Black et al. make an extensive case in their article; however it is yet to be known if moral disengagement will ever stray from social cognitive theory. None-the-less, having additional theories to ground moral disengagement could be beneficial to researchers.
Without a doubt, the future of moral disengagement research is bright. The prospects of future research discussed here are by no means an exhaustive list. Whether researching the collective moral disengagement construct, motivations for disengagement, or ways to mitigate disengagement in the workplace, opportunities to make lasting contributions to the moral disengagement literature are available for those currently researching and those yet to come.
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