Individual and Organizational Rule-Breaking: Test of an Integrated Multilevel Model.

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Title: Individual and Organizational Rule-Breaking: Test of an Integrated Multilevel Model.
Authors: Karadag, Reha1 (AUTHOR) rkaradag@d.umn.edu, Near, Janet P.2 (AUTHOR)
Source: Journal of Business Ethics. Jun2024, Vol. 192 Issue 2, p423-440. 18p.
Subject Terms: *Employees, *Deviant behavior, *Job descriptions, *Opportunity, Employee rules, Compliant behavior, Job stress
Abstract: Why do employees break organizational rules and why are organizations unable to prevent this? Past studies have suggested three predictors of rule-breaking: predisposition due to normalization of rule-breaking; pressure due to competitive and performance strain; and opportunity to break the rules due to job characteristics associated with the assigned role and the time at work (e.g., Baucus, 1994). We used a purposive sample of 14,472 observations from 5,735 individuals nested in 199 organizations, to investigate these predictors in a sports context where rule-breaking was likely to be low because of a high risk of detection and a strong compliance system. This allowed us to hold constant the effects of compliance systems and rules that were universally applied in all organizations so that we could compare differences in rule-breaking associated with predisposition, pressure, and opportunity. Compared to previous research, our method permitted us to draw four unique conclusions: (a) all three theories about predictors of rule-breaking were supported, even when all predictors were included simultaneously in a multivariate analysis; (b) individual rule-breaking was predicted by individual and organizational variables in multilevel models, suggesting that employees, the organization, and the industry all support rule-breaking under some conditions; (c) temporal precedence of predictor variables in longitudinal analysis suggested that they influenced current rule-breaking rather than the other way around; and (d) the use of a single-industry sample allowed us to collect nested data from individuals and organizations whose rule-breaking was more likely to be detected and penalized than in other industries, thus reducing undercount of rule-breaking. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Business Ethics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Individual and Organizational Rule-Breaking: Test of an Integrated Multilevel Model.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Business+Ethics%22">Journal of Business Ethics</searchLink>. Jun2024, Vol. 192 Issue 2, p423-440. 18p.
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  Data: *<searchLink fieldCode="DE" term="%22Employees%22">Employees</searchLink><br />*<searchLink fieldCode="DE" term="%22Deviant+behavior%22">Deviant behavior</searchLink><br />*<searchLink fieldCode="DE" term="%22Job+descriptions%22">Job descriptions</searchLink><br />*<searchLink fieldCode="DE" term="%22Opportunity%22">Opportunity</searchLink><br /><searchLink fieldCode="DE" term="%22Employee+rules%22">Employee rules</searchLink><br /><searchLink fieldCode="DE" term="%22Compliant+behavior%22">Compliant behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Job+stress%22">Job stress</searchLink>
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  Data: Why do employees break organizational rules and why are organizations unable to prevent this? Past studies have suggested three predictors of rule-breaking: predisposition due to normalization of rule-breaking; pressure due to competitive and performance strain; and opportunity to break the rules due to job characteristics associated with the assigned role and the time at work (e.g., Baucus, 1994). We used a purposive sample of 14,472 observations from 5,735 individuals nested in 199 organizations, to investigate these predictors in a sports context where rule-breaking was likely to be low because of a high risk of detection and a strong compliance system. This allowed us to hold constant the effects of compliance systems and rules that were universally applied in all organizations so that we could compare differences in rule-breaking associated with predisposition, pressure, and opportunity. Compared to previous research, our method permitted us to draw four unique conclusions: (a) all three theories about predictors of rule-breaking were supported, even when all predictors were included simultaneously in a multivariate analysis; (b) individual rule-breaking was predicted by individual and organizational variables in multilevel models, suggesting that employees, the organization, and the industry all support rule-breaking under some conditions; (c) temporal precedence of predictor variables in longitudinal analysis suggested that they influenced current rule-breaking rather than the other way around; and (d) the use of a single-industry sample allowed us to collect nested data from individuals and organizations whose rule-breaking was more likely to be detected and penalized than in other industries, thus reducing undercount of rule-breaking. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Business Ethics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10551-023-05519-5
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 423
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      – SubjectFull: Employees
        Type: general
      – SubjectFull: Deviant behavior
        Type: general
      – SubjectFull: Job descriptions
        Type: general
      – SubjectFull: Opportunity
        Type: general
      – SubjectFull: Employee rules
        Type: general
      – SubjectFull: Compliant behavior
        Type: general
      – SubjectFull: Job stress
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            NameFull: Karadag, Reha
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            NameFull: Near, Janet P.
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              M: 06
              Text: Jun2024
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              Y: 2024
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