scholarly journals An Eye for an Eye? Third Parties’ Silence Reactions to Peer Abusive Supervision: The Mediating Role of Workplace Anxiety, and the Moderating Role of Core Self-Evaluation

Author(s):  
Jun Huang ◽  
Gengxuan Guo ◽  
Dingping Tang ◽  
Tianyuan Liu ◽  
Liang Tan

Currently, a few scholars have studied the spillover effects of abusive supervision from third parties’ perspective. However, these limited researches mainly focus on third parties’ explicit behavior response to peer abusive supervision, ignoring their implicit reactions (e.g., silence) and the emotional mechanism among it. To fill the above gaps, drawing on affective events theory, we construct a theoretical model that explains the relationship among peer abusive supervision, third parties’ workplace anxiety, third parties’ silence, and third parties’ core self-evaluation. Multi-wave data from 283 front-line employees (57% male and 43% female; 57.2% are 30 years old and below, 31.1% are 31–40 years old and 11.7% are over 40 years old), who come from eight real estate and insurance companies in China, were used to support our framework. In particular, our empirical results indicated that peer abusive supervision was positively related to third parties’ silence, among which workplace anxiety played a partial mediating role. In addition, third parties’ core self-evaluation moderated the relationship between peer abusive supervision and silence, meanwhile, the mediating role of workplace anxiety. Specifically, the effect of peer abusive supervision on workplace anxiety, and the mediating effect of workplace anxiety, was weaker when the third parties’ core self-evaluation was higher rather than lower. The results contribute to both theory and practice.

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Sreeparna Kar ◽  

The present study attempted to investigate the mediating effect of Cognitive Test-anxiety (CTA) between the relation of Core Self-evaluation (CSE) and academic performance. Sample consisted of 599 class 12 students from different schools in Kolkata belonging to both English and Bengali medium schools and from both science and humanities streams. Subjects were selected according to the inclusion criteria to maintain homogeneity of sample. To carry out mediation analysis PROCESS macro for SPSS by Preacher & Hayes, 2004 was used. Data was analyzed using SPSS 22 version. Results showed CSE positively predicted academic performance which was significantly mediated by CTA. It can be said that CSE being a dispositional variable its relation with academic performance can be strengthened or weakened by underlying cognitive factors, one important among them being CTA which predisposes an individual to experience anxiety in evaluative situations thereby lowering performance.


2021 ◽  
pp. 097215092110556
Author(s):  
Komal Nagar ◽  
Gurmeet Singh ◽  
Rabinder Singh

The present study aims to explore the relationship between social loneliness and online interaction through WhatsApp addiction among a sample of Indian and Fijian respondents. Based on the responses of 202 Indian and 73 Fijian respondents, the present research study validated the mediating role of WhatsApp addiction, revealing that social loneliness increased the possibility of preferring to interact online through increased WhatsApp addiction. The empirical results showed that the underlying mechanism of social loneliness might indirectly influence consumers’ preference for online social interaction (POSI). The study further assessed the moderating role of culture in the association between social loneliness and POSI. Findings of the moderated mediation analysis demonstrated that, the association between loneliness and preference to socialize online differed, based on the identified cultural differences between Indian and Fijian groups.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.


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