Total views : 272

Constructing a Model to Examine the Influence of Quality of Work-Life on Work-Life Balance - Discernment of Civil Engineers from Construction Industry in Chennai

Affiliations

  • Department of Civil Engineering, SRM University, SRM Nagar, Kattankulathur, Kancheepuram District, Chennai - 603203, Tamil Nadu, India

Abstract


Objectives: The prime intention of this exploration is to construct a model to examine the impact of Quality of Work-Life (QWL) on the Work-Life Balance (WLB) among the civil engineering professional from the construction industry in Chennai. Methods/Statistical Analysis: This research followed descriptive study design and the sample size is 500. The structured questionnaire was used to collect the Primary data and it was circulated among professional engineers working in selected construction companies in Chennai city. Findings: The outcome of the study explored that there is a high effect of QWL on WLB, which means if the employees satisfies with the QWL, they may be able to balance their personal and professional life in a better way. Applications/Improvements: The outcomes of the research may be useful to conduct depth study or reformulate the policies of the construction companies by the key executives, to improve the QWL and WLB of their employees. The survey was conducted only in Chennai city among the employees working in top five selected companies; hence there is future scope to do similar research as a comparative study among Civil Engineers working in small, medium and large scale construction companies.

Keywords

Construction Industry, Construction Management, Quality of Work-Life, Work-Life Balance.

Full Text:

 |  (PDF views: 220)

References


  • Loosemore M, Dainty A, Lingard H. Human resource management in construction projects, strategic and operational approaches. London and New York: Spon Press, Taylor and Francis Group; 2003.
  • Hackman JR, Oldham GR. Work redesign. Reading. MA: Addison Wesley.1980; 35(1): 73–93.
  • Lawler E. Strategies for improving the quality of work life. American Psychologist. 1982; 37(5):486–93.
  • Sandhya K, Choudary VBN, Kumar PD, Reddy VKK. Individual change management initiatives for better Work-Life Balance. Indian Journal of Science and Technology. 2011; 4(7):848–50.
  • Noon M, Blyton P. The realities of work. Palgrave, Basingstoke. 2007; 29(4):334–59.
  • Lewis L, Gambles G, Rapoport R. The constraints of a Work-Life Balance approach: An international perspective. International Journal of Human Resource Management. 2007; 18(1):360–73.
  • Families and Work Institute National study of the changing workforce, families and work. 2009. Available from: org/downloads/TimesAreChanging.pdf
  • Bardoel B, Moss M, Smyrnios S, Tharenou T. Employee characteristics associated with the provision of work-family policies and programs. International Journal of Manpower. 1999; 20(8):563–76.
  • Pherson M, Reed R. Managing Mayhem: Work-Life Balance in New Zealand. Wellington: Dunmore Publishing; 2007. p. 264.
  • The Third Work-Life Balance employee survey organized by Department of Trade and Industry. United Kingdom. 2016. Available from: https://www.gov.uk/.../07-714x-third-work-life-balance-employee-surve
  • Farah M. Work-Life Balance and job satisfaction among faculty at Iowa State University. Graduate Theses and Dissertations Paper; 2012. p. 141.
  • Obiageli OL, Uzochukwu OC, Ngozi CD. Work-Life Balance and employee performance in selected commercial banks in Lagos state. European Journal of Research and Reflection in Management Sciences. 2015; 3(4):63–77.
  • Esra E, Zeynel Z. The effects of work motivation in Quality of Work-Life and a study on banking sector. 3rd International Symposium on Sustainable Development; Sarajevo. 2012.
  • Kangure FM. Relationship between Work-Life Balance and employee engagement in State Corporations in Kenya. [Doctor of Philosophy (Human Resource Management) thesis]. Jomo Kenyatta University of Agriculture and Technology; 2014. p. 1–204.
  • Grzywacz JG, Carlson DS. Conceptualizing Work-Family Balance: Implications for practice and research. Advances in Developing Human Resources. 2007; 9(4):455–71.
  • Wheaton W, Muthen M, Alwin A, Summers S. Assessing reliability and stability in panel models. Sociological Methodology. 1977; 8(1):84–136.
  • Tabachnick T, Barbara G, Linda S, Fidell F. Using multivariate statistics. Pearson; 2007. p. 120–4.
  • Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis. 5th ed. New Jersey: Prentice-Hall International; 1998.
  • Hair J, Black W, Babin B, Anderson R, Tatham R. Multivariate data analysis. 6th ed. Uppersaddle River: Pearson Prentice Hall; 2006. p. 172–5.
  • Hooper DD, Coughlan J, Mullen M. Structural equation modeling: Guidelines for determining model fit. Electronic Journal of Business Research Methods. 2008; 6(1):53–60.
  • Hu LT, Peter M, Bentler B. Fit indices in covariance structure modeling: Sensitivity to under parameterized model misspecification. Psychological Methods. American Psychological Association. 1998; 3(4):420–4.
  • Bentler PM, Bonett DG. Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin. American Psychological Association. 1980; 88(3):582–8.
  • Kim HS, Jung YM. Self-differentiation, family functioning, life satisfaction and attitudes towards marriage among South Korean University Students. Indian Journal of Science and Technology. 2015; 8(19):1–9.
  • Esetova AM, Pavliuchenko EI, Ismailova CT, Levitsky TY. System restructuring as a factor of increasing management efficiency in construction. Indian Journal of Science and Technology. 2015; 8(10):1–9.
  • Kiruthiga K, Anandh KS, Gunasekaran K. Assessment of influencing factors on improving effectiveness and productivity of construction engineers. International Journal of Applied Engineering Research. 2015; 10(17):13849–54.

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.