scholarly journals The Impact of Abusive Supervision on Job Insecurity: A Moderated Mediation Model

2020 ◽  
Vol 08 (06) ◽  
pp. 200-207
Author(s):  
Junjie Wang
Author(s):  
Antonio Chirumbolo ◽  
Antonino Callea ◽  
Flavio Urbini

PurposeThe purpose of this study was to extend our knowledge of the relationship between quantitative and qualitative job insecurity and performance. On the basis of stress theories, we hypothesised that qualitative job insecurity (QLJI) would mediate the negative effect of quantitative job insecurity (QTJI) on two different indicators of performance: task performance (TP) and counterproductive work behaviours (CPWBs). In addition, the authors hypothesised that the effect of QTJI on QLJI would be moderated by the economic sector (public vs private) in which employees worked. Therefore, the authors empirically tested a moderated mediation model via PROCESS.Design/methodology/approachParticipants were 431 employees from various Italian organisations. Data were collected using a self-report questionnaire measuring QTJI, QLJI, TP and CPWBs.FindingsThe results indicated that economic sector moderated the relationship between quantitative and QLJI. Both quantitative and QLJI were related to performance outcomes. Furthermore, QLJI mediated the effect of QTJI on TP and CPWB. However, this mediation was particularly apparent among employees in the private sector, supporting our hypothesised moderated mediation model.Practical implicationsThe results suggest that managers of private and public organisations need to apply different policies to reduce the impact of job insecurity on CPWBs and increase the TP of their employees.Originality/valueThis study attempted to examine the job insecurity–performance relationship in more depth. For the first time, the effects of both job insecurity dimensions on performance were simultaneously investigated, with economic sector as a moderator and QLJI as a mediator.


2018 ◽  
Vol 26 (5) ◽  
pp. 850-865 ◽  
Author(s):  
Ghulam Ali Arain ◽  
Sehrish Bukhari ◽  
Abdul Karim Khan ◽  
Imran Hameed

AbstractBased on the conservation of resource theory, this study investigated a moderated mediation model in which perceived co-worker support moderated the mediation of supervisory feedback avoidance between abusive supervision and help-seeking behaviour. Data from matching dyads of 220 house officers and 86 postgraduate medical staff were collected from several hospitals in Pakistan. Results of hierarchical multiple regression analyses supported the hypothesized model that abusive supervision first positively led to supervisory feedback avoidance, which in turn positively led to help-seeking from co-workers. Moreover, the mediating effect of supervisory feedback avoidance was stronger at the high value of co-worker support than that at the low value of co-worker support. This study contributes to the recently emerged notion in abusive supervision research that supervisees’ perception of abusive supervision may not always lead to abundantly reported negative work behaviours; instead, it may also lead to positive work behaviours, such as help-seeking behaviour that is highly beneficial for both supervisees and the organization.


2021 ◽  
pp. 014920632110484
Author(s):  
Jianhong Chen ◽  
Zeki Simsek ◽  
Yi Liao ◽  
Ho Kwong Kwan

Focusing on the interface between CEOs and top management teams (TMTs), we argue that CEO self-monitoring positively impacts a firm's pursuit of corporate entrepreneurship through the intervening role of TMT behavioral integration. We additionally argue that the impact becomes stronger as the firm's discretionary slack decreases because decreased slack creates an organizational context more favorable to the influences of both CEO self-monitoring and TMT behavioral integration. Results based on multisource (CEOs and TMTs) and multiwave data from 110 firms support the model and associated hypotheses.


2013 ◽  
Vol 98 (4) ◽  
pp. 579-592 ◽  
Author(s):  
Sean T. Hannah ◽  
John M. Schaubroeck ◽  
Ann C. Peng ◽  
Robert G. Lord ◽  
Linda K. Trevino ◽  
...  

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