How Do Job Happiness Factors Affect Building Construction Workers in Bangladesh?: The Moderating Role of Monitoring System

Mohitul Ameen Ahmed Mustafi, Abid Aziz, Mohasina Ankhi, Sonjoy Maitra, Farooq Hossan, Md. Monowar Uddin Talukdar, Mir Mohammad Azad

Abstract

This study aims to investigate the factors that influence job happiness among building construction workers in Bangladesh. The research used a quantitative research design and collected data from 290 construction workers through a structured questionnaire. The collected data were analyzed using descriptive statistics and structural equation modeling. The study used both primary and secondary data sources. In this study, we used a structured questionnaire, with 1 indicating strongly disagree and 5 indicating strongly agree. A purposive sampling technique was used to collect data from Bangladesh construction sector. The research findings revealed several factors that contribute to the job happiness of construction workers. These factors include inspiration, personal traits, and working condition. This study also revealed that moderating factors such as the monitoring factor system can improve job happiness in this sector. Overall, the study suggests that employers in the construction industry should focus on providing inspiration, personal traits, and working conditions to their workers. By addressing these factors, construction companies can improve the job happiness of their workers, which can lead to increased productivity.

 

Keywords: human relations, inspiration, job happiness, monitoring, personal traits, working condition, construction worker, Bangladesh.

 

https://doi.org/10.55463/issn.1674-2974.50.5.17


Full Text:

PDF


References


CHOU JS, & WANG YY. The relationship between human relations and job happiness among construction workers in Taiwan. International Journal of Environmental Research and Public Health, 2019, 16(22): 4353.

LIM JW, YEW MC, YEW MK, & TEO TS. Impact of working conditions on job happiness of Malaysian construction workers. Journal of Construction in Developing Countries, 2018, 23(1): 29-45.

SINGH AK, & PRAKASH A. Impact of working conditions on job happiness of Indian construction workers. Journal of Engineering, Design and Technology, 2019, 17(5): 1107

NI G, ZHU Y, ZHANG Z, QIAO Y, et al. Influencing mechanism of job happiness on safety behavior of new generation of construction workers based on Chinese context: The mediating roles of work engagement and safety knowledge sharing. International Journal of Environmental Research and Public Health, 2020, 17(22): 8361.

BAKAR NAA, BAKAR AAA, OSMAN WN, & ABDULLAH R. Moderating effect of monitoring on the relationship between job happiness and turnover intention among construction workers. Journal of Engineering, Design and Technology, 2019, 17(3): 641-652.

CHOI SJ, & KIM JH. The moderating effect of monitoring on the relationship between job stress and job happiness in Korean construction workers. Sustainability, 2021, 13(2): 725.

STAJKOVIC AD, & LUTHANS F. Self-efficacy and work-related performance: A meta-analysis. Psychological Bulletin, 1998, 124(2): 240-261.

BRACKETT MA, & MAYER JD. Convergent, discriminant, and incremental validity of competing measures of emotional intelligence. Personality and Social Psychology Bulletin, 2003, 29(9): 1147-1158.

JUDGE TA, & BONO JE. Relationship of core self-evaluations traits--self-esteem, generalized self-efficacy, locus of control, and emotional stability--with job happiness and job performance: A meta-analysis. Journal of Applied Psychology, 2001, 86(1): 80-92.

BARRICK MR, & MOUNT MK. The big five personality dimensions and job performance: A meta-analysis. Personnel Psychology, 1991, 44(1): 1-26.

GAZIOGLU S, & TANSEL A. Job happiness in Britain: individual and job-related factors. Applied Economics, 2006, 38(10): 1163-1171.

ELLICKSON MC, & LOGSDON K. Determinants of job happiness of municipal government employees. State and Local Government Review, 2001, 33(3): 173-184.

AHRARI S, ROSLAN S, ZAREMOHZZABIEH Z, MOHD RASDI R, & ABU SAMAH A. Relationship between teacher empowerment and job happiness: A Meta-Analytic path analysis. Cogent Education, 2021, 8(1): 1898737.

MULLINS, JL. Management and organizational behavior, seventh edition, Prentice Hall, 2005.

BOWEN P, CATTELL K, DISTILLER G, and EDWARDS PJ. Job happiness of South African quantity surveyors: an empirical study. Construction Management and Economics, 2008, 26: 765-780.

HANUM, A L, HU Q, WEI W, ZHOU H, & MA F. Professional identity, job satisfaction, and intention to stay among clinical nurses during the prolonged COVID-19 pandemic: A mediation analysis. Japan Journal of Nursing Science, 2022, 20(2), e12515, https://doi.org/10.1111/jjns.12515

RAFIQ M, SHAHZAD F, FARRUKH M, & KHAN I. The psychological mechanism linking life satisfaction and turnover intention among healthcare workers during the COVID-19 Pandemic. Work, 2022, 71(3): 505-514.

ZHOU L, WINGWON B, & CHOTIVANICH P. The influence of Employees Engagement and Organizational Culture as a Mediator of Transformational Leadership on Employee Performance of Government University in Fujian Sheng, People’s Republic of China. Journal of Business Administration. The Association of Private Higher Education Institutions of Thailand, 2023, 12(1): 45-62.

NI G, LI H, JIN T, HU H, & ZHANG Z. Analysis of factors influencing the job happiness of new generation of construction workers in China: A study based on DEMATEL and ISM. Buildings, 2022, 12(5): 609.

ZHANG H, SONG M, & HE H. Solution to the “innovation speed dilemma”: A cross-national study of the roles of transformational leadership. Journal of Engineering Management, 2021, 35(6): 10-23.

KIM W, HAN SJ, & PARK J. Is the role of work engagement essential to employee performance or “nice to have”? Sustainability, 2019, 11:1050

SEKARAN U, and BOUGIE R. Research Methods for Business: A Skill Building Approach. London, UK: John Wiley & Sons Ltd, 2010

BLUMBERG B, COOPER DR, and SCHINDLER PS. Business Research Methods (11th ed.). New York, NY, USA: McGraw Hill, 2011.

HAIR JF, BLACK WC, BABIN BJ. & ANDERSON RE. Multivariate Data Analysis. Pearson, NJ: Pearson Education Inc., 2010

SARSTEDT M, RINGLE CM, & HAIR JF. Treating unobserved heterogeneity in PLS-SEM: A multi-method approach. In: LATAN, H., & NOONAN, R. (Eds.) Partial Least Squares Path Modeling. Springer, Cham, 2017: 197-217. https://doi.org/10.1007/978-3-319-64069-3_9

FORNELL C. and LARCKER DF. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 1981: 382-388.

CHIN WW. How to write up and report PLS analyses. In: VINZI, V.E, CHIN, W.W, HENSELER, J, WANG, H. (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields. Springer, Berlin, 2010: 655-690.

AKTER S, D’AMBRA J, & RAY P. An evaluation of PLS based complex models: the roles of power analysis, predictive relevance and GoF index. Proceedings of the 17th Americas Conference on Information Systems, 2011, 2: 151

HAIR JF, SARSTEDT M, PIEPER TM, & RINGLE CM. The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long Range Planning, 2012, 45(5-6): 320-340.

HAIR JF, ANDERSON RE, TATHAM RL, & BLACK WC. Multivariate Data Analysis (5th Edition). Upper Saddle River, New Jersey, USA: Prentice Hall, 1998

KOCK N. Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 2015, 11(4): 1-10.

HU LT, & BENTLER PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 1999, 6(1): 1-55.

GEISSER S. A Predictive Approach to the Random Effects Model. Biometrika, 1974, 61(1): 101-107.

STONE M. Cross-Validatory Choice and Assessment of Statistical Predictions. Journal of the Royal Statistical Society, 1974, 36(2): 111-147.

HULLAND J. Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 1999, 20(2): 195-204.

COHEN J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale: Erlbaum, 1988

CHIN WW, PETERSON RA, & BROWN SP. Structural equation modeling in marketing: Some practical reminders. Journal of Marketing Theory and Practice, 2008, 16(4): 287-298.

HAIR JF, HULT GTM, RINGLE CM, SARSTEDT M, & THIELE KO. Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 2017, 45: 616-632.


Refbacks

  • There are currently no refbacks.