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

Association between the Demographic and Organizational Factors Inducing Professional and Non-Professional Life Management


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

   Subscribe/Renew Journal


Main objective of this study is to identify the relationship among the demographic factors and the major factors inducing the work life balance. Data for the study has been gathered from 220 respondents which includes 69 IT employees, 104 school teachers and 47 self-employed married women employees. Collected data are subjected to descriptive statistics like mean and standard deviation, ANOVA and Pearson Correlation. Age, weekly working hours, years of experience, monthly income, family monthly income are the personal factors and work load and responsibilities (WLR), Work Environment (WE), Feelings about Work (FAW), Family Dependents (FD) and Absence from Work (AFW) are the organizational factors considered for the study. The study found that the FD is significantly associated with the age group at 1% level of significance. WE and FD are significantly affiliated with the years of experience at 5% significance level. WLR and WE possesses significant rapport with the weekly working hours at 1% level. WLR, WE, FAW and FD are strongly associated with the monthly income at 1% significant level. WLR, WE and FAW has a significant bond with the monthly family income of the respondents at 1% level of significance. Recommendations such as rise in salary, job sharing and sharing of commitments at non-work domains namely family are provided.

Keywords

Demographic Factors, Work Life Balance, Work Load and Responsibilities, Work Environment, Feelings About Work, Family Dependents, Absence from Work.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Allen, T. D. (2001). Family-supportive work environments: The role of organizational perceptions. Journal of Vocational Behaviour, 58, 414–435.

  • Anandan, K., & Karthikeyan, R. (2016). Influence of demographic factors in work life balance of the nursing professionals. International Journal of Commerce and Management Research, 2(11), 41–43.

  • Baxter, J. (2002). Patterns of Change and Stability in the gender division of household Labour in Australia, 1986–1997. Journal of Sociology, 38(4), 399–424.

  • Beauregard, T. A., & Henry, L. C. (2009). Making the link between work-life balance practices and organizational performance. Human Resource Management Review, 19, 9–22.

  • Bharti, R., & Warrier, U. (2015). Work-life balance: Focus on women at middle management. International Journal of Management Research, 4(3), 58–71.

  • Bhandari, K., & Soni, H. (2015). Impact of gender, age and work experience on satisfaction towards work life balance (With Special Reference to Bank of Baroda, Udaipur). IOSR Journal of Business and Management, 17, 3(II), 48–53.

  • Boles, J. S., Andywood, J., & Johnson, J. (2003). Interrelationships of role conflict, role ambiguity and work-family conflict with different facets of job satisfaction and the moderating effects of gender. Journal of Personal Selling and Management, 23(2), 99–113.

  • Buddhapriya, S. (2009). Work Family challenges and their impact on career decisions: A study of Indian Women Professionals. VIKALPA, 34(1).

  • Campbell, D. J., Campbell, K. M., & Kennard, D. (1994). The effects of family responsibilities on the work commitment and job performance of non-professional women. Journal of Occupational and Organizational Psychology, 67(4), 283–214.

  • Clark, S. C. (2000). Work/family border theory: A new theory of work/family balance. Human Relations, 53(6), 747.

  • Devi, S. V. R., & Kanagalakshmi, L. (2015). Factors influencing work life balance of women employees in information technology companies. IOSR Journal of Business and Management, 17(6), Vesion: II, 1–4.

  • Doble, N., & Supriya, M. V. (2010). Gender differences in the perception of work life balance. Management, 5(4), 331–342.

  • Ensher, A. E., Murphy, E. M., & Sullivan, E. S. (2002). Reel women: Lessons from female TV executives on managing work and real life. The Academy of Management, 16(2), 106–120.

  • Greenhaus, J. H., Collins, K. M., Singh, R., & Parasuraman, S. (1997). Work and family influences on departure from public accounting. Journal of Vocational Behavior, 50, 249–270.

  • Greenhaus, J. H., & Powell, G. N. (2006). When work and family are allies: A theory of work-family enrichment. Academy of Management Review, 31, 72–92.

  • Hakim, C. (2006). Women, Careers and Work-life preferences. British Journal of Guidance and Counseling, 34(3), 279–294.

  • Hardill, I., & Green, A. (2003). Remote working - Altering the spatial contours of work and home in new economy. New Technology, Work and Employment, 18(3), 212–222.

  • Jailaxmi, & Gautam, A. (2017). Work life balance of bank employees as related to age, gender and marital status. International Journal of Management and Business Studies, 7(1), 44–46.

  • Karim, R. M. (2015). Factor influencing work-life balance among the civil servants of Bangladesh with an emphasis on women professionals: A Study at the Ministry of Public Administration. Afro Asian Journal of Social Sciences, 6(1), 1–23.

  • Kumari, K. T., & Devi, V. R. (2013). Work life balance issues of women employees: A study in Bangalore City of Karnataka. Siddhant, 13(3), 171–178.

  • Kundani, N., & Mehta, P. (2015). Identifying the factors affecting work-life balance of employees in banking sector. Paripex-Indian Journal of Research, 4(6), 328–331.

  • Lakshmi, K. S., & Gopinath, S. S. (2013). Work life balance of women employees with reference to teaching faculties. International Monthly Refereed Journal of Research in Management and Technology, II.

  • Lavanya, L., & Thangavel, N. (2014). Work-life balance practices and demographic influence: An empirical approach. IOSR Journal of Business and Management, 16(1), Version: III, 104–111.

  • Mokana, M. K., Pangil, F., & Isa, M. F. M. (2015). Individual, organizational and environmental factors affecting work-life balance. Asian Social Science, 11(25), 111–123.

  • Namayandeh, H., Yaacob, S. N., & Juhari, R. (2010). The Influences of work support and family support on Work Family Conflict (WFC) among married female nurses in Shiraz-Iran. Journal of American Science, 6(12).

  • Oludayo, O. A., Falola, H. O., Obianuju, A., & Demilade, F. (2018). Work-life balance initiative as a predictor of employees’ behavioural outcomes. Academy of Strategic Management Journal, 17(1).

  • Padmasiri, M. K. D., & Mahalekamge, W. G. S. (2016). Impact of demographical factors on work life balance among academic staff of University of Kelaniya, Sri Lanka. Journal of Education and Vocational Research, 7(1), 54–59.

  • Panisoara, G., & Serban, M. (2013). Marital status and Work life balance. Procedia- Social and Behavioural Sciences, 78, 21–25.

  • Petare, P. A. (2013). A study of work life balance of women working in teaching profession at Kolhapur. Online International Interdisciplinary Research Journal, 3(4), 199–204.

  • Prabha, N., & Nirmala, P. (2016). An empirical study of work life balance of married women employees at educational sector in Namakkal District. International Journal of advanced research and Innovative Ideas in Education, 1(1), 205–208.

  • Ramamurthy, P. M., Robert, P. W., & NageswaraRao, C. B. (2017). A study on work life balance and personal satisfaction of women employees in IT sector. International Journal of Advanced Research in IT and Engineering, 3(4), 3336–3340.

  • Roshani, P., & Bagrecha, C. (2017). Impact of challenges faced by women in service sector on work life balance - A study conducted for nurses in Bangalore. International Education and Research Journal, 3(6), 93–97.

  • Saran, S., & Kumar, R. M. (2017). Critical factors influencing work life balance of the engineer-A review. International Journal of Engineering, Research and Technology, 6(11), 234–236.

  • Subramanium. A. G., Overton, B. J., & 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.

  • Thomas, L. T., & Ganster, D. C. (1995). Impact of familysupportive work variables on work-family conflict and strain: A control perspective. Journal of Applied Psychology, 80(1), 6–15.

  • Vijaykiruthika, S. (2016). The demographic factors influence on satisfaction toward work life balance of woman employees in private banking sector in Batticaloa district. Journal for Studies in Management and Planning, 2(10), 147–153.

  • Ungerson, C., & Yeandle, S. (2005). Care workers and work-life balance: The example of domiciliary careworkers. In Hounston DM. Work life Balance in the 21st Century, 246–262.

  • Virick, M., Lily, J. D., & Casper, W. J. (2007). Doing more with less an analysis of work life balance among layoff survivors. Career Development International, 12(5), 463–480.

  • Warrier, U. (2013). A study on work-life balance as a function of demographic variables at an IT company in Bangalore. Journal of Organization and Human Behavior, 2(3), 40–48.

  • Yawalkar, V. V., & Sonawane, A. M. (2017). Impact of demographic variables on work-life balance of police personnel: With reference to Jalgaon police department. International Journal of Science, Engineering and Management, 2(9), 29–32.


Abstract Views: 510

PDF Views: 0




  • Association between the Demographic and Organizational Factors Inducing Professional and Non-Professional Life Management

Abstract Views: 510  |  PDF Views: 0

Authors

Gangan Aranjan Pandu
Pondicherry University Community College, Lawspet, Pondicherry, India
R. Sankar
Pondicherry University Community College, Lawspet, Puducherry, India

Abstract


Main objective of this study is to identify the relationship among the demographic factors and the major factors inducing the work life balance. Data for the study has been gathered from 220 respondents which includes 69 IT employees, 104 school teachers and 47 self-employed married women employees. Collected data are subjected to descriptive statistics like mean and standard deviation, ANOVA and Pearson Correlation. Age, weekly working hours, years of experience, monthly income, family monthly income are the personal factors and work load and responsibilities (WLR), Work Environment (WE), Feelings about Work (FAW), Family Dependents (FD) and Absence from Work (AFW) are the organizational factors considered for the study. The study found that the FD is significantly associated with the age group at 1% level of significance. WE and FD are significantly affiliated with the years of experience at 5% significance level. WLR and WE possesses significant rapport with the weekly working hours at 1% level. WLR, WE, FAW and FD are strongly associated with the monthly income at 1% significant level. WLR, WE and FAW has a significant bond with the monthly family income of the respondents at 1% level of significance. Recommendations such as rise in salary, job sharing and sharing of commitments at non-work domains namely family are provided.

Keywords


Demographic Factors, Work Life Balance, Work Load and Responsibilities, Work Environment, Feelings About Work, Family Dependents, Absence from Work.

References