Work—Family Conflict, Self-Efficacy, Job Satisfaction, and Gender: Evidences From Asia

2010 ◽  
Vol 17 (3) ◽  
pp. 298-308 ◽  
Author(s):  
Peng Wang ◽  
John J. Lawler ◽  
Kan Shi
Keyword(s):  
Job Satisfaction ◽  
Family Conflict ◽  
Self Efficacy ◽  
Work Family Conflict ◽  
And Gender ◽  
Work Family

Supervisor and mentoring effects on work-family conflict in logistics

2019 ◽  
Vol 49 (6) ◽  
pp. 644-661 ◽  
Author(s):  
Michael J. Maloni ◽  
David M. Gligor ◽  
Robin A. Cheramie ◽  
Elizabeth M. Boyd
Keyword(s):  
Job Satisfaction ◽  
Family Conflict ◽  
Intent To Leave ◽  
Equation Modeling ◽  
Work Family Conflict ◽  
Content Type ◽  
Behavior Based ◽  
And Gender ◽  
Work Family ◽  
And Behavior

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.

Interaction Effects in Cross-Lagged Panel Models: SEM with Latent Interactions Applied to Work-Family Conflict, Job Satisfaction, and Gender

2021 ◽  
pp. 109442812110437
Author(s):  
Ozlem Ozkok ◽  
Manuel J. Vaulont ◽  
Michael J. Zyphur ◽  
Zhen Zhang ◽  
Kristopher J. Preacher ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Family Conflict ◽  
Panel Data Analysis ◽  
Interaction Effects ◽  
Future Research ◽  
Work Family Conflict ◽  
Sources Of Variation ◽  
Latent Interactions ◽  
And Gender ◽  
Work Family

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.

scholarly journals An Empirical Study of Work-Family Field: Identifying Psychographic Predictors of WorkFamily Conflict

2019 ◽  
Vol IV (III) ◽  
pp. 154-164
Author(s):  
Afsheen Masood ◽  
Muhammad Sulman ◽  
Arooj Arshad
Keyword(s):  
Job Satisfaction ◽  
Emotional Intelligence ◽  
Family Conflict ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Work Family Conflict ◽  
Cross Sectional ◽  
Female Lawyers ◽  
Work Family

This study propounds to examine the dynamics of relationship among emotional intelligence, job satisfaction, and self-efficacy and work-family conflict in female lawyers. Correlational Cross-sectional research design was implicated in this research in order to test the hypothesis that emotional intelligence, self-efficacy and job satisfaction are likely to predict work-family conflict in young female lawyers. The sample comprised of n= 200 female lawyers, age ranging between 30-50 years, recruited from the civil and high court of Lahore, Pakistan. SPSS 23.0 was used to execute analyses that revealed that emotional intelligence was somehow having negative relationship with work-family conflict yet positively associated with self-efficacy. Findings of linear regression analysis divulge that emotional intelligence and self-efficacy are significant negative predictors of work-family conflict. Results from the current research provide insight for future researchers in seeking line of further inquiry on psychosocial dynamics of work-family life patterns of female lawyers.

DOES WORK-FAMILY CONFLICT AFFECT THE AUDITOR’S PERFORMANCE?: EXAMINING THE MEDIATING ROLES OF EMOTIONAL EXHAUSTION AND JOB SATISFACTION

2018 ◽  
Vol 20 (1) ◽  
pp. 89 ◽  
Author(s):  
Andi Ina Yustina ◽  
Tifanny Valerina
Keyword(s):  
Job Satisfaction ◽  
Emotional Exhaustion ◽  
Family Conflict ◽  
Healthy Lifestyle ◽  
Mail Survey ◽  
Work Family Conflict ◽  
Performance Examining ◽  
And Performance ◽  
Work Family ◽  
Relationship Of

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.

Spillover and Crossover Effects of Work-Family Conflict among Married and Cohabiting Couples

2018 ◽  
Vol 10 (1) ◽  
pp. 35-60 ◽  
Author(s):  
Deniz Yucel ◽  
Beth A. Latshaw
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Gender Differences ◽  
Relationship Satisfaction ◽  
Family Conflict ◽  
Married Couples ◽  
Work Family Conflict ◽  
Crossover Effects ◽  
Cohabiting Couples ◽  
Work Family

The present study uses Wave 8 of the German Family Panel to test the spillover and crossover effects of work-family conflict on job satisfaction, relationship satisfaction, and mental health for individuals (actor effects) as well as their spouses/partners (partner effects) in dual-earning couples. We further contribute by assessing whether the results vary by gender and union type. Results suggest that among married couples, for job satisfaction, there are no gender differences in actor effects (but gender differences in partner effects), and actor and partner effects remain distinct. For relationship satisfaction, there are no gender differences in actor or partner effects, but both effects remain distinct. For mental health, however, there are gender differences in actor effects (but not in partner effects), and both effects remain distinct. Among cohabitors, there are no differences in actor effects by gender, and adding in partner effects does not significantly improve the models predicting all three outcomes. Some results also suggest differences in relationship dynamics between married and cohabiting couples.

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