Unlocking the Effect of Supervisor Incivility on Work Withdrawal Behavior: Conservation of Resource Perspective

Does organizational justice facet matters in knowledge hiding?

To address the gap of extant literature and to assess employees' in-role and innovative performance, a model was developed and tested through organizational justice facets- procedural, distributive, and interactional justice with knowledge hiding facets, well-being facets and professional commitment. The purpose of the present research is to inspect the role of justice facets in shaping knowledge hiding behavior through optimistic role of well-being toward employee performance with the remedial role of professional commitment under the shadow of Psychological Ownership Knowledge Theory (POKT) and Social Exchange Theory (SET). For that persistence, present research acknowledged the practices and connotations of knowledge hiding because limited research is prevailed on the contrasting influence of knowledge hiding practice. Data were collected through random sampling via dual-wave survey questionnaire from 613 employees working in Kuala Terengganu, Malaysia. Structural Equation Modeling was carried out through AMOS (24.0) and SPSS (25.0). Findings reveal that the association with in-role and innovative performance with justice is positively associated through well-being, and the relationship between knowledge hiding and job performance was also positively associated. This study argued that knowledge sharing reshapes knowledge hiding behavior that plays a negative role in organizational performance. This study suggested the notable contribution in the direction of organizational context of developing realm settings by revealing the predecessor character of knowledge hiding and endorses the organizational justice to persuade top management for in-role and innovative performance enhancement.

The mediating role of self-efficacy in the relationship between social support and work withdrawal behavior: A cross-sectional study among young lung cancer survivors

Objective

The study aimed to explore the predictors of work withdrawal behavior among young lung cancer survivors and examine the mediating role of self-efficacy in the relationship between social support and work withdrawal behavior.

Methods

This cross-sectional study was conducted in a cancer center in southern China. A total of 215 young lung cancer survivors were recruited from January 2021 to July 2021 and investigated by a demographic and disease-related questionnaire, the Work Withdrawal Behavior Scale, Social Support Rating Scale, and General Self-efficacy Scale. Data analysis was performed ​using ​IBM SPSS 25.0 (IBM Corp., Armonk, NY, USA) and PROCESS macro version 3.3 for SPSS developed by Preacher and Hayes.

Results

The mean score of work withdrawal behavior was 3.02 (±0.70). Existing symptoms, income, residence, the duration of postoperative rest time, social support, and self-efficacy were the predictors and explained 70.2% of the variance of work withdrawal behavior. The mediating effect of self-efficacy was identified between social support and work withdrawal behavior (indirect effect ​= ​0.36, bias-corrected 95% confidence interval [-0.542 to -0.197]).

Conclusions

Work withdrawal behavior was prevalent among young lung cancer survivors. Social support and self-efficacy were significantly associated with work withdrawal behavior, and self-efficacy was identified as a mediator between social support and work withdrawal behavior among this group. Health professionals could help them return and adapt to work by relieving their symptoms, providing social support, and enhancing their self-efficacy.

Does technology innovation matter for environmental pollution? Testing the pollution halo/haven hypothesis for Asian countries

China's GDP grew 9% annually during the end of the twentieth century. This economic growth degrades China's ecology, making it the world's greatest polluter. This position forced China to invest in developing nations and to take advantage of low-cost labor and increased pollution quotas from the World Trade Organization (WTO) to meet sustainable development objectives without environmental harm. The significance of this study is, first, this study examines the influence of Chinese outward foreign direct investment, gross domestic product, trade openness, technological innovation, and energy consumption on carbon emissions in Asian countries (Turkey, Pakistan, the Philippines, Singapore, India, Indonesia, and Cambodia). Secondly, the panel autoregressive distributed lag cointegration (ARDL) technique was used on data from 2000 to 2020 to investigate the pollution halo/haven hypothesis and environmental Kuznets curve hypothesis for south Asian nations. This analysis demonstrated that Chinese outbound foreign direct investment increases carbon emissions and confirms the pollution halo concept. Except for India and Pakistan, these nations show a U-shaped link between Chinese foreign direct investment and carbon emissions. So, policy implications recommended by the results of this study are foreign direct investment inflows with modern and ecofriendly technological transfer and enhancement in labor, and conservational management practices will benefit emerging countries to attain their sustainable development goals.