Abstract
Job satisfaction is significant multifactor influencing workforce productivity. Job satisfaction is termed as positive emotional circumstances of an employee experience with particular job. Particular analysis is accomplished to examine the effects of job satisfaction towards increasing professional employee’s productivity levels in the construction organizations and to determine factors correlated with productivity decrease among professional construction employees with special reference to various construction industries in Chennai. In this study, 500 respondents selected on various job levels in construction industry are participated. Data was collected using demographic questionnaire and job performance-centric questionnaire as job descriptive index to investigate the job satisfaction level. Further questionnaire investigates effectiveness of the professional employee to increase the company productivity on managing the employee in the study. The job satisfaction level was considered as low, moderate and high, respectively. Also, their productivity was computed as moderate. Furthermore, positive association among between job satisfaction and work productivity indices was considered as significant with t-value as 2.624. The statistical analysis using SPSS software represents that productivity was significantly correlated with dimension of job satisfaction such as work autonomy and fringe benefits.
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References
Pheng LS, Shang G, Foong WK (2016) Enhancing construction productivity through organizational learning in the Singapore construction industry. Int J Constr Proj Manag 8(1):71–89
Thomas AV, Sudhakumar J (2013) Critical analysis of the key factors affecting construction labour productivity–an Indian perspective. Int J Constr Manag 13(4):103–125
Jarkas AM, Horner RMW. (2015) Creating a baseline for labour productivity of reinforced concrete building construction in Kuwait. Constr Manag Econ; 33 (8): pp:625–39.3
Ruddock L, Ruddock S (2011) Evaluation of trends in the UK construction industry using growth and productivity accounts. Constr Manag Econ 29(12):1229–1239
Dyer B, Goodrum PM, Viele K (2012) Effects of omitted variable bias on construction real output and its implications on productivity trends in the United States. J Constr Eng Manag 138(4):558–566
Ruddock L, Ruddock S (2009) Reassessing productivity in the construction sector to reflect hidden innovation and the knowledge economy. Constr Manag Econ 27(9):871–879
Vogl B, Abdel-Wahab M (2015) Measuring the construction industry’s productivity performance: critique of international productivity comparisons at industry level. J Constr Eng Manag 141(4):4014085
Zhao T, Dungan JM (2014) Improved baseline method to calculate lost construction productivity. J Constr Eng Manag 140(2):6013006
Mulinge M, Mueller CW (1998) Employee job satisfaction in developing countries: The case of Kenya. World Dev 26(12):2181–2199
Alazzaz F, Whyte A (2015) Linking employee empowerment with productivity in off-site construction. Eng Constr Archit Manag 22(1):21–37
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Kiruthiga, K., Vijaya Bhaskar Raju, K., Venkatakrishnaiah, R. (2024). Investigate the Correlation Among Work Autonomy and Fringe Benefits Towards Job Satisfaction Among Construction Professional in Chennai. In: Menon, N.V.C., Kolathayar, S., Rodrigues, H., Sreekeshava, K.S. (eds) Recent Advances in Civil Engineering for Sustainable Communities. IACESD 2023. Lecture Notes in Civil Engineering, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-97-0072-1_40
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DOI: https://doi.org/10.1007/978-981-97-0072-1_40
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