scholarly journals Unmasking the Mystery of Sex and Gender between the Bidirectional Relationship of Work-Family Conflict and Job Satisfaction

2018 ◽  
Vol 18 (1) ◽  
2018 ◽  
Vol 20 (1) ◽  
pp. 89 ◽  
Author(s):  
Andi Ina Yustina ◽  
Tifanny Valerina

This paper examines whether the work-family conflict (related to both work-interfering-family and family-interfering-work) of auditors affects their performance and if so, whether the effect is mediated by emotional exhaustion and job satisfaction. A mail survey is used to deliver a questionnaire to 151 auditors from ten CPA firm in Indonesia. The result shows that emotional exhaustion and job satisfaction fully mediates the relationship of work-family conflict with job performance. The result also demonstrates that Work-Interfering-Family (WIF) has significant effects on emotional exhaustion and job satisfaction, but Family-Interfering-Work (FIW) has no significant influence on either emotional exhaustion or job satisfaction. This study suggests that maintaining a regular training program for auditors, having flexible working arrangements, and encouraging a healthy lifestyle may help to reduce the work-family conflict and will increase the job satisfaction and performance of auditors.


Author(s):  
Michael J. Maloni ◽  
David M. Gligor ◽  
Robin A. Cheramie ◽  
Elizabeth M. Boyd

Purpose A talent shortage and underrepresentation of women in logistics emphasize the need to assess the logistics work culture. As logistics practitioners face round-the-clock job pressures, work–family conflict presents one such opportunity for study. Consequently, the purpose of this paper is to assess the impact of supervisors and mentoring on work interference with family (WIF) and subsequent job satisfaction and intent to leave logistics. Design/methodology/approach Under role conflict theory, the authors apply structural equation modeling to survey data of logistics practitioners, focusing on time, strain and behavior WIF sources. Findings The results highlight the complexity of WIF in logistics. Strain and behavior-based WIF relate to job satisfaction, which then relates to intent to leave logistics. Family-supportive supervisors reduce time and strain-based WIF, and mentoring provides complementary support for behavior-based WIF. However, mentoring also yields unintended contradictory effects for women as detrimental to time-based WIF. Research limitations/implications The relatively small sample size, particularly for women, limits generalizability of the results. Practical implications To foster supportive work environments, logistics organizations must train supervisors and mentors to resolve employee WIF, including its different sources and gender-specific impacts. Originality/value The interplay of supervisors and mentors has not been well studied to date. Also, the contradictory impacts of mentoring for women based on WIF sources challenges WIF literature and issues warnings for mentoring in professional practice. Finally, the results provide insight into the talent shortage and gender imbalance in logistics that lack empirical study.


2021 ◽  
pp. 109442812110437
Author(s):  
Ozlem Ozkok ◽  
Manuel J. Vaulont ◽  
Michael J. Zyphur ◽  
Zhen Zhang ◽  
Kristopher J. Preacher ◽  
...  

Researchers often combine longitudinal panel data analysis with tests of interactions (i.e., moderation). A popular example is the cross-lagged panel model (CLPM). However, interaction tests in CLPMs and related models require caution because stable (i.e., between-level, B) and dynamic (i.e., within-level, W) sources of variation are present in longitudinal data, which can conflate estimates of interaction effects. We address this by integrating literature on CLPMs, multilevel moderation, and latent interactions. Distinguishing stable B and dynamic W parts, we describe three types of interactions that are of interest to researchers: 1) purely dynamic or WxW; 2) cross-level or BxW; and 3) purely stable or BxB. We demonstrate estimating latent interaction effects in a CLPM using a Bayesian SEM in Mplus to apply relationships among work-family conflict and job satisfaction, using gender as a stable B variable. We support our approach via simulations, demonstrating that our proposed CLPM approach is superior to a traditional CLPMs that conflate B and W sources of variation. We describe higher-order nonlinearities as a possible extension, and we discuss limitations and future research directions.


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