| Literature DB >> 35928427 |
Lixia Niu1, Wende Xia1, Yong Liu2.
Abstract
Based on the normative conflict model, this study proposes a dual-pathway model that is constituted of organizational identification and normative conflict, and examines the double-edged sword effect of ethical leadership on subordinates' constructive deviance. According to the analysis of 449 questionnaires collected from Chinese employees, the results show that ethical leadership can promote employees' constructive deviance by improving their constructive intention (Organizational identification), and it can weaken employees' deviance motivation (normative conflict) to prevent their constructive deviance. Moreover, ethical leadership has different effects on different types of constructive deviance. This research further enriches the formation mechanism of constructive deviance and provides practical guidance to exert the effectiveness of constructive deviance in organizational management.Entities:
Keywords: constructive deviance; double-edged sword effect; ethical leadership; normative conflict; organizational identification
Year: 2022 PMID: 35928427 PMCID: PMC9343765 DOI: 10.3389/fpsyg.2022.892395
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Theoretical model.
Sample characteristics (n = 449).
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| Gender | Male | 212 | 47.2 |
| Female | 237 | 52.8 | |
| Age | 18–25 Years | 135 | 30.1 |
| 26–35 Years | 252 | 56.1 | |
| 36–45 Years | 46 | 10.2 | |
| 46–55 Years | 12 | 2.7 | |
| 56 Years and above | 4 | 0.9 | |
| Marital status | Married | 240 | 53.5 |
| Unmarried | 209 | 46.5 | |
| Tenure | 3 Years and below | 171 | 38.1 |
| 3–5 Years | 140 | 31.2 | |
| 6–10 Years | 103 | 22.9 | |
| 11 Years and above | 35 | 7.8 | |
| Education | High School and above | 14 | 3.1 |
| Junior College | 43 | 9.6 | |
| Bachelor’s Degree | 325 | 72.4 | |
| Master’s Degree and Above | 67 | 14.9 |
Means, standard deviations, and correlation coefficients (n = 449).
| S. No. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. | Gender | 1 | |||||||||
| 2. | Age | −0.117 | 1 | ||||||||
| 3. | MS | 0.057 | −0.596 | 1 | |||||||
| 4. | Education | 0.007 | −0.026 | 0.028 | 1 | ||||||
| 5. | Tenure | −0.093 | 0.740 | −0.641 | −0.061 | 1 | |||||
| 6. | EL | −0.042 | 0.063 | −0.141 | −0.078 | 0.147 | 1 | ||||
| 7. | OI | −0.025 | 0.089 | −0.103 | −0.026 | 0.163 | 0.550 | 1 | |||
| 8. | NC | −0.023 | −0.075 | 0.125 | 0.094 | −0.164 | −0.407 | −0.261 | 1 | ||
| 9. | COD | −0.096 | 0.004 | −0.034 | 0.010 | 0.037 | 0.133 | 0.127 | 0.204 | 1 | |
| 10. | CID | −0.094 | 0.039 | −0.026 | 0.039 | 0.037 | 0.168 | 0.222 | 0.081 | 0.516 | 1 |
| Mean | 0.472 | 1.882 | 1.465 | 2.991 | 2.004 | 4.004 | 3.950 | 2.729 | 3.344 | 3.367 | |
| SD | 0.500 | 0.760 | 0.499 | 0.609 | 0.961 | 0.547 | 0.670 | 0.817 | 0.757 | 0.797 |
MS, marital status; EL, ethical leadership; OI, organizational identification; NC, normative conflict; COD, constructive organizational deviance; CID, constructive interpersonal deviance; The same below
p < 0.05;
p < 0.01.
Reliability and validity (N = 449).
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| EL | Listens to what employees have to say | 0.670 | 0.905 | 0.507 | 0.911 |
| Disciplines employees who violate ethical standards | 0.871 | ||||
| Conducts his/her personal life in an ethical manner | 0.691 | ||||
| Has the best interests of employees in mind | 0.723 | ||||
| Makes fair and balanced decisions | 0.679 | ||||
| Can be trusted | 0.732 | ||||
| Discusses business ethics or values with employees | 0.672 | ||||
| Sets an example of how to do things the right way in terms of ethics | 0.693 | ||||
| Defines success not just by results but also the way that they are obtained | 0.664 | ||||
| When making decisions, asks “what is the right thing to do?” | 0.700 | ||||
| OI | When someone criticizes our company, it feels like a personal insult. | 0.784 | 0.881 | 0.556 | 0.882 |
| I am very interested in what others think about our company | 0.729 | ||||
| When I talk about my company, I usually say “we” rather than “they” | 0.733 | ||||
| Company’s successes are my successes | 0.725 | ||||
| When someone praises our company, it feels like a personal compliment | 0.771 | ||||
| If a story in the media criticized our company, I would feel embarrassed | 0.729 | ||||
| NC | This company falls short of what it could be because of the rules and norms it enforces on employees | 0.812 | 0.924 | 0.608 | 0.925 |
| This company could be so much better if it followed different rules or norms | 0.792 | ||||
| This company will never reach its true potential until it changes its practices | 0.769 | ||||
| The standards of this company encourage the wrong sort of behavior from employees | 0.746 | ||||
| This company has rules or norms that lead to wasteful or counterproductive behavior | 0.854 | ||||
| This company could be much more efficient if people could follow different rules or norms | 0.801 | ||||
| The values of this company are not accurately reflected in the rules and norms it sets | 0.745 | ||||
| I think that the rules and norms of this company are valid and reasonable(R) | 0.710 | ||||
| COD | Sought seek to bend or break the rules in order to perform your job | 0.701 | 0.848 | 0.544 | 0.855 |
| Violated company procedures in order to solve a problem | 0.720 | ||||
| Departed from organizational procedures to solve a customer’s problem | 0.757 | ||||
| Bent a rule to satisfy a customer’s needs | 0.630 | ||||
| Departed from dysfunctional organizational policies or procedures to solve a problem | 0.859 | ||||
| CID | Reported a wrong-doing to co-workers to bring about a positive organizational change | 0.816 | 0.851 | 0.596 | 0.854 |
| Did not follow the orders of your supervisor in order to improve work procedures | 0.794 | ||||
| Disagreed with others in your workgroup in order to improve the current work procedures | 0.653 | ||||
| Disobeyed your supervisor’s instructions to perform more efficiently | 0.812 |
Results of CFAs: comparison of measurement models.
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| Five-factor model (EL, NC, OI, COD, CID) | 1135.261 | 485 | 2.341 | 0.922 | 0.915 | 0.922 | 0.055 |
| Four-factor model (EL, NC, OI, COD + CID) | 1545.321 | 489 | 3.160 | 0.874 | 0.863 | 0.873 | 0.069 |
| Three-factor model (EL, NC + OI, COD + CID) | 2767.962 | 492 | 5.626 | 0.728 | 0.707 | 0.727 | 0.102 |
| Two-factor model (EL + NC + OI, COD + CID) | 3895.759 | 494 | 7.886 | 0.594 | 0.564 | 0.592 | 0.124 |
| One-factor model (EL + NC + OI + COD + CID) | 5243.506 | 495 | 10.593 | 0.433 | 0.392 | 0.430 | 0.146 |
Path coefficients.
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| EL → OI | 0.734 | 0.070 | 10.424 | 0.000 | 0.603 |
| EL → NC | −0.622 | 0.081 | −7.686 | 0.000 | −0.418 |
| EL → COD | 0.305 | 0.088 | 3.472 | 0.000 | 0.257 |
| EL → CID | 0.274 | 0.111 | 2.468 | 0.014 | 0.182 |
| OI → COD | 0.105 | 0.066 | 1.594 | 0.111 | 0.108 |
| OI → CID | 0.273 | 0.086 | 3.185 | 0.001 | 0.221 |
| NC → COD | 0.308 | 0.049 | 6.253 | 0.000 | 0.385 |
| NC → CID | 0.244 | 0.059 | 4.109 | 0.000 | 0.241 |
Figure 2Path coefficients.
Standardized direct, indirect, total effects and 95% bias-corrected CI.
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| EL → COD | 0.257 | 0.083 | [0.092, 0.420] |
| EL → CID | 0.182 | 0.083 | [0.014, 0.347] |
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| EL → OI → COD | 0.065 | 0.045 | [−0.020, 0.156] |
| EL → OI → CID | 0.133 | 0.046 | [0.044, 0.227] |
| EL → NC → COD | −0.161 | 0.03 | [−0.228, −0.110] |
| EL → NC → CID | −0.101 | 0.029 | [−0.163, −0.047] |
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| EL → COD | 0.16 | 0.062 | [0.035, 0.284] |
| EL → CID | 0.214 | 0.064 | [0.084, 0.337] |