Journal of Strategic Human Resource Management

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Predictors and Outcomes of Work-Life Balance among IT Employees and School Teachers in Chennai:A SEM Model Approach


Affiliations
1 Pondicherry University Community College, Lawspet, Pondicherry, India
     

   Subscribe/Renew Journal


In this study, a model has been developed using structural equation modelling by adopting the dependent factors like work-family conflict (WFC), family-work conflict (FWC), work environment (WE), feelings about work (FAW) and independent variables such as work-life balance (WLB), job satisfaction (JS), labor turnover intentions (LTI). The total sample size is 173 samples and it contains 104 IT employees and 69 school teachers in Chennai. It is found out that all the model fit indices and accepts the model. The study also reported that feelings about work highly predicts the work-life balance at 0.45 value and the work-life balance in turn predicts the job satisfaction level at 0.99 and in turn it affects the labor turnover intentions at 0.81 level.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Alam, S. M., Biswas, K., & Hassan, K. (2009). A test of association between working hour and work family conflict: A glimpse on Dhaka’s female white collar professional. International Journal of Business and Management, 4(5), 27–35.

  • Anderson, S. E., Coffey, B. S., & Byerly, R. T. (2002). Formal Organizational initiatives and Informal work practices: Link to Work-Family conflict and Job related outcomes. Journal of Management, 28(6), 787–810.

  • Asiedu-Appiah, F., Aduse-Poku, O., & Acheampong, F. A. (2014). Work-life balance practices and female lecturers: Career progression in Ghana. Asian Journal of Management Research, 4(3), 419–341.

  • Bedian, A. G., Burke, B. G., & Moffett, R. G. (1988). Outcomes of work-family conflict among married male and female professionals. Journal of Management, 14(3), 475–492.

  • Bharathi, S. V. K., Mala, E. P., & Bhattacharya, S. (2015). Work life balance of women employees in the information Technology Industry. Asian Journal of Management Research, 5(3), 323–343.

  • Chaudhry, A. Q. (2012). The relationship between occupational stress and job satisfaction: The case of 14 Pakistani universities. International Education Studies, 5(3), 212–221.

  • Clark, S. C. (2000). Work/family border theory: A new theory of work/family balance. Human Relations, 53, 747–770.

  • Coppens, A. (2007). Something’s got to give! Work/ life balance for busy business people.

  • Cortese, C. G., Colombo, L., & Ghislieri, C. (2010). Determinants of nurses’ Job Satisfaction: The role of work-family conflict, job demand, emotional charge and social support. Journal of Nursing Management, 18, 35–43.

  • Daire, H., Joseph, C., & Michael, R. M. (2008). Structural equation modelling: Guidelines for determining the model fit. Electronic Journal of Business Research Methods, 6(1), 53–60.

  • Frone, M. R., Russel, M., & Lynee Cooper, M. (1992). Antecedents and outcomes of work-family conflict: Testing a model of the work-family interface. Journal of Applied Psychology, 77(1), 65–78.

  • Frone, M. R., Russell, M., & Cooper Lynne, M. (2007). Antecedents and outcomes of work-family conflict: Testing a model of the work-family interface. Journal of Applied Psychology, 77, 1.

  • Greenhaus, J. H., & Beutell, N. J. (1985). Sources of conflict between work and family roles. Academy of Management Review, 10(1), 76–88.

  • Greenhaus, J. H., Collins, K. M., & Shaw, J. D. (2003). The relation between work-family balance and quality of life. Journal of Vocational Behavior, 63, 510–531.

  • Hahn, V. C., Binnewies, C., Sonnentag, S., & Mojza, E. J. (2011). Learning how to recover from job stress: Effects of a recovery training program on recovery, recovery-related self- efficacy, and well-being. Journal of Occupational Health Psychology, 16, 202–216

  • Hair, J. F., Anderson, R. E., & Tantham, R. L. (2006). Mutivariate data analysis (10th ed.). NJ: Prentice Hall. In: Malek AL-Majali & Nik Kamariah Nik Mat (2011). Modelling the antecedents of Internet Banking Service Adoption (IBSA) in Jordon: A Structural Equation Modelling (SEM) approach. Journal of Internet Banking and Commerce, 16(1), 8–13.

  • Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice- Hall. In: Marcin Pont and Lisa McQuilken (2002). Testing the fit of the BANKSERV model to BANKPERV data. ANZMAG Conference Proceedings, 865.

  • Hakanen, J. J., Bakker, A. B., & Schaufeli, W. B. (2006). Burnout and work engagement among teachers. Journal of School Psychology, 43, 495–513.

  • Hann, V. C., Binnewies, C., & Haun, S. (2011). The role of partners for employees’ recovery during weekend. Journal of Vocational Behavior, 80, 288–298.

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

  • Klein, K. J., Dansereau, F., & Hall, R. J. (1994). Levels issues in theory development, data collection, and analysis. Academy of Management Review, 19, 195–229.

  • Lambert, S. L. (2000). Added benefits: The link between work-life benefits and organizational citizenship behavior. Academy of Management Journal, 43(5), 801–815.

  • Leiter, M. P., & Maslach, C. (2004). Areas of work life: A structured approach to organizational predictors of job burnout. In P. Perrewe’ & D. C. Ganster (Eds.), Research in Occupational Stress and Well-being: Vol.3. Emotional and Physiological Processes and positive intervention strategies (pp. 91–134). Bingley: Emerald Group Publishing Limited.

  • Marcinkus, W. C., Whelan-Berry, K. S., & Gordon, J. R. (1985). The relationship of social support to the workfamily balance and work outcomes of midlife women. Gender in Management: An International Journal.

  • Mulaik, S. A., James, L. R., Van Alstine, J., Bennet, N., Lind, S., & Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105(3), 430–445.

  • Pavithra, S., & Barani, G. (2012). A study on quality of work life of lawyers in Coimbatore district. Indian Streams Research Journal, 2(8), 1264.

  • Peters, M. C. W., Montgomery, A. J., Bakker, A. B., & Schaufeli, W. B. (2005). Balancing work and home demands are related to burnout. International Journal of Stress Management, 12(1), 43–61.

  • Raisinghani, M., & Goswami, R. (2014). Model of work life balance explaining relationship constructs. International Journal of Application (or) Innovation in Engineering and Management, 3(2).

  • Reddy, N. K., Vranda, M. N., Ahmed, A., Nirmala, B. P., & Siddaramu, B. (2010). Work-life balance among married women employees. Indian Journal of Psychological Medicine, 32, 112–118.

  • Renganathan, R., Balachandran, S., & Govindarajan, K. (2012). Customer perception towards banking sector: Structural equation modelling approach. African Journal of Business Management, 6(46), 11426–11436.

  • Subramanium, G. A., Overton, B. J., and Maniam, C. B. (2015). Flexible working arrangements, work life balance and women in Malaysia. International Journal of Social Science and Humanity, 5(1), 34–38.

  • Ungerson, C., & Yeandle, S. (2005). Care workers and work-life balance: The example of domiciliary careworkers. In D. M. Hounston (Ed.), Work- life balance in the 21st century (pp. 246–262). Basingstoke: Palgrave MacMillan.

  • Yadav, R. K., & Dabhade, N. (2014). Work life balance and job satisfaction among the working women of banking and educational sector: A comparative study. International Letters of Social and Humanistic Sciences, 21, 181–201.


Abstract Views: 236

PDF Views: 0




  • Predictors and Outcomes of Work-Life Balance among IT Employees and School Teachers in Chennai:A SEM Model Approach

Abstract Views: 236  |  PDF Views: 0

Authors

A. Pandu
Pondicherry University Community College, Lawspet, Pondicherry, India

Abstract


In this study, a model has been developed using structural equation modelling by adopting the dependent factors like work-family conflict (WFC), family-work conflict (FWC), work environment (WE), feelings about work (FAW) and independent variables such as work-life balance (WLB), job satisfaction (JS), labor turnover intentions (LTI). The total sample size is 173 samples and it contains 104 IT employees and 69 school teachers in Chennai. It is found out that all the model fit indices and accepts the model. The study also reported that feelings about work highly predicts the work-life balance at 0.45 value and the work-life balance in turn predicts the job satisfaction level at 0.99 and in turn it affects the labor turnover intentions at 0.81 level.

References