Journals / Business and Economics Research Journal / 2018 / Cilt: 9 - Sayı: 4

Sources and Predictors of Work-Family Conflict: A Multidimensional Study across European Countries and Turkey

Pages
855–870
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The study concludes with suggestions for future research and implicationsbased on findings and limitations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Addressing the lack of cross-national and multidimensional research in therelevant literature, this paper examines the relationships between two sources andvarious predictors of work-family conflict of employees by utilizing a three-year discreetdataset of 23 European countries and Turkey.
📊
Key Findings & Data:Results from fixed-effect modelestimation reveal that average annual hours worked per employee are negativelyrelated to career advancement opportunity and technology adoption whereas businessinternationalization and paid parental leave opportunities cause longer working hours.Inflexible working is negatively associated with all variables except for the insignificantimpact of technology adoption.
💡
Conclusion & Impact:The study concludes with suggestions for future research and implicationsbased on findings and limitations.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Addressing the lack of cross-national and multidimensional research in therelevant literature, this paper examines the relationships between two sources andvarious predictors of work-family conflict of employees by utilizing a three-year discreetdataset of 23 European countries and Turkey. Stress sources of work-family conflict areproxied by number and inflexibility of working hours whereas their predictors arerepresented by career advancement opportunity, business internationalization, paidparental leave scheme, governmental family support, and prevalence of employees’technology use. Additionally, cultural origins of social support are also controlled usingboth value and regional clusters of national cultures. Results from fixed-effect modelestimation reveal that average annual hours worked per employee are negativelyrelated to career advancement opportunity and technology adoption whereas businessinternationalization and paid parental leave opportunities cause longer working hours.Inflexible working is negatively associated with all variables except for the insignificantimpact of technology adoption. The culture was found mattering for work-familyconflict but explaining the variations in working hours and inflexible schedulingdifferently. The study concludes with suggestions for future research and implicationsbased on findings and limitations.

🔖

Cite This Article

DEMİRAL, Ö. (2018). Sources and Predictors of Work-Family Conflict: A Multidimensional Study across European Countries and Turkey. Business and Economics Research Journal, Cilt: 9 - Sayı: 4, 855–870. https://ajindex.com/articles/352170

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (1)

  1. Allen, T. D., Herst D.E., Bruck, C. S., & Sutton M. (2000). Consequences associated with work-to-family conflict: A review and agenda for future research. Journal of Occupational Health Psychology, 5(2), 278-308. Doi:10.1037/1076- 8998.5.2.278 Annink, A. (2017). From social support to capabilities for the work-life balance of independent professionals. Journal of Management & Organization, 23(2), 258-276. Doi:10.1017/jmo.2016.53 Bardoel, E. A. (2015). Work-life management tensions in multinational enterprises (MMEs). The International Journal of Human Resource Management, 27(15), 1681-1709, Doi:10.1080/09585192.2015.1074089 Barnett, R. C., & Hyde, J. S. (2001). Women, men, work and family: An expansionist theory. American Psychologist, 56(10), 781-796. Doi:10.1037/0003-066X.56.10.781 Batt, R., & Valcour, P. M. (2003). Human resources practices as predictors of work‐family outcomes and employee turnover. Industrial Relations: A Journal of Economy and Society, 42(2), 189-220. doi:10.1111/1468-232X.00287 Beutell, N. J., & Wittig-Berman, U. (1999). Predictors of work-family conflict and satisfaction with family, job, career, and life. Psychological Reports, 85(3), 893-903. Doi:10.2466/pr0.1999.85.3.893 Boswell, W. R., & Olson-Buchanan, J. B. (2007). The use of communication technologies after hours: The role of work attitudes and work-life conflict. Journal of Management, 33(4), 592-610. Doi:10.1177/0149206307302552 Brady, B. R., Vodanovich, S. J., & Rotunda, R. (2008). The impact of workaholism on work-family conflict, job satisfaction, and perception of leisure activities. The Psychologist-Manager Journal, 11(2), 241-263. Doi:10.1080/10887150802371781 Carlson, D. S. (1999). Personality and role variables as predictors of three forms of work-family conflict. Journal of Vocational Behavior, 55(2), 236-253. Doi: 10.1006/jvbe.1999.1680 Carlson, D. S., Kacmar, K. M., & Williams, L. J. (2000). Construction and initial validation of a multidimensional measure of work-family conflict. Journal of Vocational Behavior, 56(2), 249-277. Doi:10.1006/jvbe.1999.1713 Chandra, V. (2012). Work-life balance: Eastern and Western perspectives. The International Journal of Human Resource Management, 23(5), 1040-1056, Doi:10.1080/09585192.2012.651339 Clark, S. C. (2000). Work/family border theory: A new theory of work/family balance. Human Relations, 53(6), 747-770. Doi:10.1177/0018726700536001 Clark, S. C. (2001). Work cultures and work/family balance. Journal of Vocational Behavi