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Counterproductive work behavior (CWB) is employee behavior that goes against the goals of an organization. These behaviors can be intentional or unintentional and result from a wide range of underlying causes and motivations. It has been proposed that a person-by-environment interaction can be utilized to explain a variety of counterproductive behaviors. For instance, an employee who steals from the company may do so because of lax supervision (environment) and underlying psychopathology (person) that work in concert to result in the counterproductive behavior.
Counterproductive work behavior is a topic of research in industrial and organizational psychology.
Dimensional Models of Counterproductive Work BehaviorsEdit
The variety of acts that are considered CWBs has led to attempts by researchers to create a coherent typology of CWBs. One four-class typology of CWBs divided the CWBs into the following categories:
(1) production deviance, involving behaviors like leaving early, intentionally working slow, or taking long breaks; (2) property deviance, involving sabotage of equipment, theft of property, and taking kickbacks; (3) political deviance, involving showing favoritism, gossiping, or blaming others; and, (4) personal aggression, involving harassment, verbal abuse, and endangerment.
Another typology proposed the following five factors:
(1) abuse against others; (2) production deviance; (3) sabotage; (4) theft; and (5) withdrawal.
One of the larger typologies included a total of eleven categories of CWBs:
(1) theft of property; (2) destruction of property; (3) misuse of information; (4) misuse of time and resources; (5) unsafe behavior; (6) poor attendance; (7) poor quality of work; (8) alcohol use; (9) drug use; (10) inappropriate verbal action; and (11) inappropriate physical action.
Over time, research has pointed to simpler dimensional views of CWBs.
While a two-dimensional model of CWBs has gained considerable acceptance, additional dimensions have been proposed for research purposes, including a legal v. illegal dimension, a hostile v. instrumental aggression dimension, and a task-related v. a non-task-related dimension. It is suggested that exploration of these new dimensions will shed new light on CWBs. For example, CWBs that violate criminal law may have different antecedents than milder forms of CWBs. Similarly, instrumental aggression (i.e., aggression with a deliberate goal in mind) may have different antecedents than those CWBs caused by trait anger. Future research will need to determine whether these suggestions have merit.
Forms of counterproductive work behaviorEdit
The forms of counterproductive work behavior with the most empirical examination are ineffective job performance, absenteeism, job turnover, theft, and accidents. Less common but potentially more detrimental forms of counterproductive behavior have also been investigated including violence, substance use, and sexual harassment.
Employee withdrawal consists of behaviors such as absence, lateness, and ultimately job turnover. Absence and lateness has attracted research as they disrupt organizational production, deliveries and services. Unsatisfied employees withdraw in order to avoid work tasks, pain and remove themselves from their jobs. Withdrawal behavior may be explained as employee retaliation against inequity in the work setting. Withdrawal may also be part of a progressive model and relate to job dissatisfaction, job involvement, and organizational commitment.
Absence is not showing up for work. Absenteeism is typically measured by time lost measures and frequency measures. It is weakly linked to affective predictors such as job satisfaction and commitment. Absences fit into two types of categories. Excused absences are those due to personal or family illness; unexcused absences include an employee who does not come to work in order to do another preferred activity or neglects to call in to a supervisor. Absence can be linked to job dissatisfaction. Major determinants of employee absence are employee affect, demographic characteristics, organizational absence culture, and organization absence policies. Absence due to non-work obligations is related to external features of a job with respect to dissatisfaction with role conflict, role ambiguity, and feelings of tension. Absences due to stress and illness are related to internal and external features of the job, fatigue and gender. Research has found that women are more likely to be absent than men, and that the absence-control policies and culture of an organization will predict absenteeism.
Lateness is described as arriving at work late or leaving early. Problems associated with lateness include compromised organizational efficiency. Tardy and late employees responsible for critical tasks can negatively affect organizational production. Other workers may experience psychological effects of the tardy employee including morale and motivational problems as they attempt to “pick up the slack.”  Other employees may begin to imitate the example set by the behavior of tardy employees. Lateness costs US business more that $3 billion dollars annually.
Research on employee job turnover has attempted to understand the causes of individual decisions to leave an organization. It has been found that lower performance, lack of reward contingencies for performance, and better external job opportunities are the main causes. Other variables related to turnover are conditions in the external job market and the availability of other job opportunities, and length of employee tenure. Turnover can be optimal as when a poorly performing employee decides to leave an organization, or dysfunctional when the high turnover rates increase the costs associated with recruitment and training of new employees, or if good employees decide leave consistently. Avoidable turnover is when the organization could have prevented it and unavoidable turnover is when the employee’s decision to leave could not be prevented.
Social loafing may occur when individuals are working in groups. When working in groups, individuals often reduce their efforts and work outputs. Individual outputs can be reduced by as much as 20% in group tasks. Further, social loafing tends to increase with the size of the group. Task interdependence has also been found to be positively related to social loafing. Social loafing is maximized when group performance standards are unclear and other group members are not expected to contribute their full efforts.
Cyber loafing is a new phenomenon and form of CWB emerging in the last decade. Cyber loafing can be defined as surfing the web in any form of non-job- related tasks performed by the employee. Surveys have shown that 64% of US workers use the internet for personal tasks at work. The internet is responsible for a 30-40% decrease in employee productivity  and was estimated to have cost US business $5.3 billion in 1999.
Physical acts of aggression by members of an organization, committed in organizational settings are considered as workplace violence. While most researchers examine workplace aggression as deviance with a single dimension, there is a line of research that separates workplace aggression according to its targets, whether interpersonal or organizational. In this model of workplace aggression, trait anger and interpersonal conflict have been found to be significant predictors of interpersonal aggression, while interpersonal conflict, situational constraints, and organizational constraints have been found to be predictors of organizational aggression. Other factors significantly linked to aggression are sex and trait anger, with men and individuals with higher levels of trait anger showing more aggressive behaviors.
"Workplace incivility involves acting with disregard for others in the workplace, in violation of workplace norms for respect... .” The effects of incivility include increased competitiveness, increases in sadistic behavior, and inattentiveness. A study of cyber incivility showed that higher levels of incivility are associated with lower job satisfaction, lower organizational commitment, and higher turnover rates. Two factors that seem to be associated with becoming a victim of incivility are low levels of Agreeableness and high levels of Neuroticism. Affective Events Theory suggests that individuals who experience more incidents of incivility may be more sensitive to these behaviors and therefore more likely to report them.
Bullying consists of progressive and systematic negative antisocial behavior and psychological mistreatment of one employee against another. It may include verbal abuse, gossiping, social exclusion, or the spreading of rumors. The terms 'bullying' and 'mobbing' are sometimes used interchangeably, but 'bullying' is more often used to refer to lower levels of antisocial behavior that do not include workgroup participation. The costs of bullying include losses in productivity, higher absenteeism, higher turnover rates, and legal fees when the victims of bullying sue the organization. Reported incidence of bullying is ambiguous with rates being reported from under 3% to over 37% depending on the method used to gather incidence statistics. The strongest factor predicting bullying behavior seems to be exposure to incidents of bullying. This suggests that bullying is a cascading problem that needs to be curtailed in its earliest stages. In addition to exposure to incidents of bullying, being male also seems to increase the likelihood that one will engage in bullying behavior. It is proposed that the human resources function can provide guidance in the mitigation of bullying behavior by taking an active role in identifying and stopping the behaviors.
Sexual harassment is defined as “unwelcome sexual advances, requests for sexual favors, and other verbal or physical contact when (a) submission to the conduct by the employee is either explicitly or implicitly a term or condition of an individual’s employment, (b) submission to or rejection of such conduct by an individual is used as a basis for employment decisions affecting the individual and/or 9c) such conduct [that] has the purpose or effect of unreasonably interfering with work performance, or creating an intimidating, hostile or offensive working environment.” (Equal Employment Opportunity Commission, 1980)
Employee theft is defined as employees taking things not belonging to them from an organization. Employee theft is estimated to account for billions of dollars of loss globally each year. This may include large embezzlements or the pilfering of pencils and paperclips, but the losses in the aggregate are substantial. At least one study suggests that 45% of companies experience financial fraud, with average losses of $1.7 million. Factors such as Conscientiousness have been shown to be negatively related to theft behaviors. Many organizations use integrity tests during the initial screening process for new employees in an effort to eliminate those considered most likely to commit theft. Causes of employee theft include characteristics of the individual and environmental conditions such as frustrating and unfair working conditions.
Substance abuse is a problem that can have an effect on work attendance, performance, and safety and can lead to other injuries outside of work and health problems.
Employee sabotage are behaviors that can “damage or disrupt the organization’s production, damaging property, the destruction of relationships, or the harming of employees or customers.”  Research has shown that often acts of sabotage or acts of retaliation are motivated by perceptions of organizational injustice  and performed with the intention of causing harm to the target.
Within organizations, ineffective job performance is often difficult to detect, diagnose the cause of, prevent, or resolve. This is because most performance measurement systems only assess the impact of various employee behaviors rather than the behaviors themselves. Performance data is the most common method of evaluating ineffective job performance and often includes personnel data (e.g., items such as absences, sick days, tardiness, disciplinary actions and safety violations), production data (e.g., sales commission), subjective evaluations (e.g., an annual or semi-annual performance appraisal performed by an employee’s immediate supervisor), and electronic performance monitoring (e.g., a call center manager monitoring an employee’s telephone interactions with customers). The causes of ineffective job performance have been evaluated from different theoretical approaches including: attribution theory that links performance to employee characteristics, selection errors that evaluate mistakes of hiring the wrong employees, and inadequate socialization/training that evaluate the social environment and structured training employees receive. Employers need to be careful to avoid fundamental attribution error whereby performance is linked to characteristics of the employee rather than the environment.
Notable Behavior Exclusions Edit
CWBs are “active and volitional acts engaged in by individuals, as opposed to accidental or unintentional actions.”  CWBs, therefore do not include acts that lack volition, such as the inability to successfully complete a task. Nor do CWBs include involvement in an accident, although purposeful avoidance of the safety rules that may have led to the accident would represent a CWB.
The U.S. Department of Health and Human Services (2002) estimates the cost of accidents to organizations to be $145 million annually. Most research on this topic has attempted to evaluate characteristics of the workplace environment that lead to accidents and determination of ways to avoid accidents. There has also been some research on the characteristics of accident-prone employees that has found they are typically younger, more distractible, and less socially adjusted than other employees. Recent research has shown that an organization's safety climate has been associated with lower accident involvement, compliance with safety procedures, and increased proactive safety behaviors.
Another set of behaviors that do not fit easily into the accepted definition of CWBs, are those described as unethical pro-organizational behaviors (UPBs). UPBs represent illegitimate means intended to further the legitimate interests of an organization. UPBs are not necessarily intended to harm the organization, although the UPBs may result in adverse consequences to the organization, such as a loss of trust and goodwill, or in criminal charges against the organization. In law enforcement, UPBs are exhibited in a form of misconduct called Noble Cause Corruption. Noble Cause Corruption occurs when a police officer violates the law or ethical rules in order to reduce crime or the fear of crime. An example of Noble Cause Corruption is testilying, in which a police officer commits perjury to obtain the conviction of a supposed criminal. UPBs have not received the same attention from researchers that CWBs have received.
Relationship between OCB and CWB Edit
See (Organizational citizenship behavior. (2011, March 22). In Wikipedia, The Free Encyclopedia. Retrieved 03:59, March 27, 2011, from http://en.wikipedia.org/w/index.php?title=Organizational_citizenship_behavior&oldid=420120011 )
Current Research Topics and Trends Edit
By definition, counterproductive work behaviors are voluntary acts that are detrimental to an organization. They have important implications for the well-being of an organization. Theft alone is estimated to cause worldwide losses in the billions of dollars each year. These estimated losses do not include losses from other sources, nor do they consider the fact that many losses attributable to CWBs go undetected.
The consequences of CWBs and their persistence in the workplace have led to increased attention being given to the study of such behaviors. Current trends in industrial organizational psychology suggest a continuing increase in the study of CWBs. Research into CWBs appears to fall into three broad categories: (1) classification of CWBs; (2) predicting counterproductive behaviors; and (3) furthering the theoretical framework of CWBs.
A review of peer reviewed journals following this article shows the broad interest in CWBs. A brief list of noted journals includes The International Journal of Selection and Assessment, The Journal of Applied Psychology, Computers in Human Behavior, Personality and Individual Differences, Occupational Health Psychology, Human Resource Management Review, Military Justice, Criminal Justice Ethics, European Journal of Work and Organizational Psychology, and International Journal of Nursing Studies. The variety of journals reporting in the area of CWBs reflects the breadth of the topic and the global interest in studying these behaviors.
Researchers use many sources in attempting to measure CWBs. These include potentially subjective measures such as self-reports, peer reports, and supervisor reports. More objective methods for assessing CWBs include disciplinary records, absentee records, and job performance statistics. Each of these methods present potential problems in the measurement of CWBs. For example, self-reports always have the potential for bias with individuals trying to cast themselves in a good light. Self-reports may also cause problems for researchers when they measure what an incumbent 'can-do' and what an incumbent 'will-do.' Peer and supervisor reports can suffer from personal bias, but they also suffer from lack of knowledge of the private behaviors of the job incumbent whose behavior is being studied. Archival records suffer from lack of information about the private behaviors of incumbents, providing instead information about instances where incumbents are caught engaging in CWBs. Some researchers have proposed a differential detection hypothesis which predicts that there will be discrepancies between reports of detected CWBs and other reports of CWBs.
The lack of accurate measures for CWBs jeopardizes the ability of researchers to find the relationships between CWB and other factors they are evaluating. The primary criticism of research in CWBs has been that too much of the research relies on a single-source method of measurement relying primarily on self-reports of counterproductive work behavior. Several studies have therefore attempted to compare self-reports with other forms of evidence about CWBs. These studies seek to determine whether different forms of evidence converge, or effectively measure the same behaviors. Convergence has been established between self-reports and peer and supervisor reports for interpersonal CWBs but not organizational CWBs. This finding is significant because it promotes the ability of researchers to use multiple sources of evidence in evaluating CWBs.
Correlates, predictors, interactions, moderators and mediatorsEdit
Organizational justice or fairness perceptions have been shown to influence the display of counterproductive work behaviors. Distributive justice, procedural justice, and interactional justice have all been shown to include both counterproductive work behaviors aimed at individuals, such as political deviance and personal aggression; and counterproductive work behaviors aimed at the organization, such as production slowdown and property deviance.
Overall perceptions of unfairness may particularly elicit interpersonal counterproductive work behaviors such as political deviance and personal aggressions. Interpersonal justice and informational justice may also predict counterproductive work behaviors aimed at the supervisor, such as neglecting to follow supervisory instructions, acting rudely toward one’s supervisor, spreading unconfirmed rumors about a supervisor, intentionally doing something to get one’s supervisor in trouble, and encouraging coworkers to get back at one’s supervisor.
Personality is a predictor of an employee’s proclivity toward counterproductive work behaviors. With regard to the Big Five, conscientiousness, agreeableness, extraversion, and openness to experience all predict counterproductive behaviors. When an employee is low in conscientiousness, counterproductive work behaviors related to the organization are more likely to occur. Employees who are low in agreeableness will exhibit counterproductive work behaviors related to interpersonal deviant behaviors. Furthermore, in terms of greater specificity, for employees low in conscientiousness, sabotage and withdrawal are more likely to occur. For employees low in extraversion, theft is likely to occur. Finally, for employees high in openness to experience, production deviance is likely to occur.
Affect, one’s feeling or emotion, also predicts the likelihood of counterproductive work behaviors occurring. Employees with high negative affectivity typically display more counterproductive work behaviors than those with positive affectivity.
Finally, employees with narcissistic personalities tend to exhibit more counterproductive work behaviors as well.
Interpersonal conflict in the workplace can also lead to counterproductive work behaviors. Interpersonal conflict with the supervisor can lead to counterproductive work behaviors such as defiance, undermining, and colluding with coworkers to engage in deviant behavior. Interpersonal conflict with peers can lead to counterproductive work behaviors such as harassment, bullying, and physical altercations.
Research into the relationship between cognitive ability and CWBs is contradictory. When CWBs are operationalized as disciplinary records of detected CWBs, a strong negative relationship between cognitive ability has been found. This relationship did not hold, however, when cognitive ability was operationalized as educational attainment. A longitudinal study of adolescents through young adulthood found that, among those individuals who exhibited conduct disorders as youths, high levels of cognitive ability were associated with higher levels of CWBs, a positive relationship. Other research has found that General Mental Ability is largely unrelated to self-reports of CWBs including theft (although a weak link to incidents of lateness was detected). In the same study, grade point average showed a stronger relationship to CWBs. Contradictions in the findings may be explained in the differential effects between measures of cognitive ability and self-reported versus detected incidents of CWBs.
Self-control has been evaluated as a significant explanation of CWBs. Like, conscientiousness, self-control, or internal control, is seen as a stable individual difference that tends to inhibit deviant behaviors. The identification of self-control as a factor in deviant behaviors flows from work in criminology, where self-control is seen as the strength of one's ability to avoid short-term gain for long-term costs. Using multiple regression analysis, one study compared the effects of 25 characteristics (including self-control, justicial factors, equity factors, positive affect, levels of autonomy, and a variety of other individual characteristics) on CWBs. The study showed that self-control was the best predictor of CWBs and that most of the other factors had negligible predictive value. Cognitive ability and age were among the remaining factors that showed some effect. These additional findings are consistent with research that tends to show older employees exercise a greater level of self-control.
Age appears to be an important factor in predicting CWBs. While age does not appear to be strongly related to core task performance, creativity, or performance in training, it does appear to be positively related to organizational citizenship behaviors and negatively related to CWBs. Older employees seem to exhibit less aggression, tardiness, substance abuse, and voluntary absenteeism (although sickness related absenteeism is somewhat higher than younger employees). Some researchers argue that the lower rate of CWBs may be due to better self-regulation and self-control.
One line of research in CWBs looks not at the instigators of CWBs, but the victims' provocative target behavior, or the behaviors of the victims of CWBs, which are seen as potential mediating factors in the frequency and intensity of CWBs originated against them. This line of research suggests that low levels of Agreeableness and Conscientiousness, and high levels of Neuroticism, in the victims of CWBs may lead to more incidents of CWBs, like incivility. Affective Events Theory has been used to explain that some individuals report being the victim of incivility more often because they are more sensitive to it than other workers.
Emotional intelligence (EI) has been defined as the ability to identify and manage emotional information in oneself and others and focus energy on required behaviors. The factors making up EI include: (1) appraisal and expression of emotion in self; (2) appraisal and recognition of emotions in others; (3) regulation of emotions; and, (4) use of emotions. To the extent that EI includes the ability to manage emotions, it can be expected that it will have an influence on CWBs similar to that found for self-control. Research in this area is limited, however, one study looking for the moderating effects of EI on the relationships between distributive justice, procedural justice, and interactional justice failed to find a significant moderating effect in any of these relationships.
Peer Reporting Edit
Normative behavior within organizations tends to discourage workers from reporting the observed CWBs of their peers, although this tendency can be reduced when a group is punished for the CWBs of individual members. There are three factors that seem to be most influential on peer reporting of CWBs: the emotional closeness between the person exhibiting the CWBs and the person observing the CWBs; the severity of the misconduct observed, and the presence of witness. Peers are more likely to report the CWBs of colleagues when the conduct is severe, or when there are other witnesses present, and less likely to report CWBs when they are emotionally close to the person committing the CWBs. A key problem in the use of peer reports of CWBs instead of self-reports of CWBs is that peer reports only capture observed behaviors and are not able to identify CWBs committed secretly.
Strategies for Managing Counterproductive Work Behaviors Edit
A substantial body of research has demonstrated that stable characteristics of individuals are associated with the likelihood of CWBs. Some examples of stable characteristics that have been demonstrated to have relationships with CWBs include Conscientiousness and Agreeability, motivation avoidance, cognitive ability, and self-control. To the extent that these stable conditions predict CWBs, reduction of CWBs in an organization can begin at the recruitment and selection phase of new employees.
Integrity screening is one common form of screening used by organizations as is cognitive ability screening. Personality testing is also common in screening out individuals who may have a higher incidence of CWBs. Work samples have been found to be a more effective screening tool than integrity testing alone, but integrity testing and cognitive testing together are even better screening tools. While the use of screening instruments may be an imperfect decision-making tool, the question often facing the recruitment officer is not whether the instrument is perfect, but whether, relative to other available screening tools, the screening tool is functional.
However, organizations must do more than screen employees in order to successfully manage CWBs. Substantial research has demonstrated that CWBs arise out of situational factors that occur in the day-to-day operations of an organization, including organizational constraints, lack of rewards, illegitimate tasks, interpersonal conflicts, and lack of organizational justice. Research has shown that individuals who are treated unfairly are more likely to engage in CWBs. One major step that organizations can take to reduce the impetus for CWBs is therefore to enhance organizational justice. Maintaining communications and feedback, allowing participation of employees, and supervisory training are other suggestions for mitigating CWBs. Organizations must also pay close attention to employees for signs and sources of interpersonal conflicts so that they can be identified and tended to as necessary.
Combating CWBs comes with some costs, including the costs of selection, monitoring, and implementing preventive measures to reduce triggers for CWBs. Before undertaking costly measures to reduce CWBs, it may be worthwhile for an organization to identify the costs of CWBs. If the cost-benefit analysis does not show a savings, then the organization must decide whether the battle against CWBs is worth fighting. As part of this consideration, the organization should be aware that at least one set of researchers suggest that some CWBs can serve to relieve tension in certain circumstances.
- Cognitive Resource Theory
- Employee silence
- Negative affectivity
- Organizational citizenship behavior
- Organizational Justice
- Passive–aggressive behavior
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- ↑ Bowling, N. A., & Eschleman, K. J. (2010). Employee personality as a moderator of the relationships between work stressors and counterproductive work behavior. Journal of Occupational Health Psychology, 15(1), 91-103. doi:10.1037/a0017326
- ↑ 46.0 46.1 Sackett, P. R. (1994). Integrity testing for personnel selection. Current Directions in Psychological Science, 3(3), 73-76. doi:10.1111/1467-8721.ep10770422
- ↑ MacLane, C. N., & Walmsley, P. T. (2010). Reducing counterproductive work behavior through employee selection. Human Resource Management Review, 20(1), 62-72. doi:10.1016/j.hrmr.2009.05.001
- ↑ Levy, T., & Tziner, A. (2011). When destructive deviance in the workplace becomes a liability: A decisional behavioral model. Quality & Quantity: International Journal of Methodology, 45(1), 233-239. doi:10.1007/s11135-009-9277-0
- ↑ Bowling, N. A., & Eschleman, K. J. (2010). Employee personality as a moderator of the relationships between work stressors and counterproductive work behavior. Journal of Occupational Health Psychology, 15(1), 91-103. doi:10.1037/a0017326; Dalal, R. S. (2005). A meta-analysis of the relationship between organizational citizenship behavior and counterproductive work behavior. Journal of Applied Psychology, 90(6), 1241-1255. doi:10.1037/0021-9010.90.6.1241
- ↑ Gruys, M. L., & Sackett, P. R. (2003). Investigating the dimensionality of counterproductive work behavior. International Journal of Selection & Assessment, 11(1), 0-42. doi:10.1111/1468-2389.00224; Sackett, P. R., Berry, C. M., Wiemann, S. A., & Laczo, R. M. (2006). Citizenship and counterproductive behavior: Clarifying relations between the two domains. Human Performance, 19(4), 441-464. doi:10.1207/s15327043hup1904 7
- ↑ Devonish, D., & Greenidge, D. (2010). The effect of organizational justice on contextual performance, counterproductive work behaviors, and task performance: Investigating the moderating role of ability-based emotional intelligence. International Journal of Selection and Assessment, 18(1), 75-86. doi:10.1111/0 468-2389.2010.00490.x; Roberts, B. W., Harms, P. D., Caspi, A., & Moffitt, T. E. (2007). Predicting the counterproductive employee in a child-to-adult prospective study. Journal of Applied Psychology, 92(5), 1427-1436. doi:10.1037/0021-9010.92.5.1427; Oppler, E. S., Lyons. B. D., Ricks, D. A., & Oppler, S. H. (2008). The relationship between financial history and counterproductive work behavior. International Journal of Selection and Assessment, 16(4), 416-420. doi:10.1111/j.1468-2389.2008.0044.x
- ↑ Jackson, C. J., Hobman, E. V., Jimmieson, N. L., & Martin, R. (2009). Comparing different approach and avoidance models of learning and personality in the prediction of work, university, and leadership outcomes. British Journal of Psychology, 100(2), 283-312. doi:10.1348/000712608X322900; Bowling, N. A., & Eschleman, K. J. (2010). Employee personality as a moderator of the relationships between work stressors and counterproductive work behavior. Journal of Occupational Health Psychology, 15(1), 91-103. doi:10.1037/a0017326; Diefendorff, J. M, & Mehta, K. (2007). The relations of motivational traits with workplace deviance. Journal of Applied Psychology, 92(4), 967-977. doi:10.1037/0021-9010.92.4.967; Marcus, B., & Schuler, H. (2004). Antecedents of counterproductive behavior at work: A general perspective. Journal of Applied Psychology, 89(4), 647-660. doi:10.1037/0021-9010.896.4.647
- ↑ Fox, S., Spector, P. E., Goh, A., & Bruursema, K. (2007). Does your coworker know what you're doing? Convergence og self- and peer-reports of counterproductive work behavior. International Journal of Stress Management, 14(1), 41-60. doi:10.1037/1072-5245.14.1.41
- ↑ 54.0 54.1 54.2 Fox, S., Spector, P. E., Goh, A., & Bruursema, K. (2007). Does your coworker know what you're doing? Convergence of self- and peer-reports of counterproductive work behavior. International Journal of Stress Management, 14(1), 41-60. doi:10.1037/1072-5245.14.1.41
- ↑ 55.0 55.1 Sackett, P. R. (2002). The structure of counterproductive work behaviors: Dimensionality and relationships with facets of job performance. International Journal of Selection & Assessment, 10(1/2), 5-11.
- ↑ 56.0 56.1 56.2 56.3 Marcus, B., Wagner, U., Poole, A., Powell, D. M., & Carswell, J. (2009). The relationship of GMA to counterproductive work behavior revisited. European Journal of Personality, 23(6), 489-507. doi:10.1002/per.728
- ↑ Marcus, B., Wagner, U., Poole, A., Powell, D. M., & Carswell, J. (2009). The relationship of GMA to counterproductive work behavior revisited. European Journal of Personality, 23(6), 489-507. doi:10.1002/per.728; Fox, S., Spector, P. E., Goh, A., & Bruursema, K. (2007). Does your coworker know what you're doing? Convergence og self- and peer-reports of counterproductive work behavior. International Journal of Stress Management, 14(1), 41-60. doi:10.1037/1072-5245.14.1.41; de Jonge, J., & Peeters, M. C. W. (2009). Convergence of self-reports and coworker reports of counterproductive work behavior: A cross-sectional multi-source survey among health care workers. International Journal of Nursing Studies, 46(5), 699-707. doi:10.1016/j.ijnurstu.2008.12.010
- ↑ de Jonge, J., & Peeters, M. C. W. (2009). Convergence of self-reports and coworker reports of counterproductive work behavior: A cross-sectional multi-source survey among health care workers. International Journal of Nursing Studies, 46(5), 699-707. doi:10.1016/j.ijnurstu.2008.12.010
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- ↑ Fox, S., Spector, P. E., Goh, A., & Bruursema, K. (2007). Does your coworker know what you're doing? Convergence of self- and peer-reports of counterproductive work behavior. International Journal of Stress Management, 14(1), 41-60. doi:10.1037/1072-5245.14.1.41
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- ↑ Scott, B. A., & Judge, T. A. (2009). The popularity contest at work: Who wins, why, and what do they receive? Journal of Applied Psychology, 94(1), 20-33. doi:10.1037/a0012951; Bruk-Lee, V. , & Spector, P. E. (2006). The social stressors-counterproductive work behavior link: Are conflicts with supervisors and coworkers the same? Journal of Occupational Health Psychology , 11(2), 145-156. doi:10.1037/1076-89184.108.40.206
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