Designing an Interpretive Structural Model of Human Resource Productivity with a Focus on Occupational Health and Safety Management Systems in Iraq's Construction Industry

Authors

    Atheer Mahdi Hameed PhD student of Public Administration - Human Resources, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
    Saeid Aghasi * Assistant Professor, Social and Cultural Researches Center, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran. Sae_aghasi@yahoo.com
    Husam Hussein Shyaa Alsalami Assistant Professor, Department of Business Administration, Faculty of Management and Economics, Karbala University, Karbala, Iraq.
    Sayyed Mohammad Reza Davoodi Associate Professor of Social and Cultural Researches Center, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran.

Keywords:

Human resource productivity, occupational safety and health, interpretive structural modeling (ISM), construction industry, risk management, Iraq

Abstract

This study aims to design an interpretive structural model (ISM) of human resource productivity with a specific focus on occupational health and safety management systems in Iraq’s construction industry. This research employs a mixed-methods design with both qualitative and quantitative components. Qualitatively, thematic analysis was applied to data gathered through expert interviews using a snowball sampling approach involving 10 university professors and industry managers. In the quantitative phase, the ISM technique was used to examine the structural relationships among dimensions and to stratify them hierarchically. The structural equation modeling (SEM) approach was applied using SmartPLS software with a sample of 384 civil engineers selected based on Cochran’s formula. The reliability and validity of the measurement model were assessed through composite reliability, AVE, and confirmatory factor analysis, while model fit was evaluated using the Goodness of Fit (GoF) index. The qualitative analysis identified five key dimensions of human resource productivity: creating suitable employment, scientific training and development, effective communication, risk management, and rewards and incentives. ISM analysis stratified these dimensions into three levels, with "creating suitable employment" being the most dependent, and "scientific training and development" the most influential. SEM results confirmed all hypothesized relationships among constructs, with scientific training significantly impacting risk management, communication, and incentive systems. The model demonstrated strong convergent validity (AVE > 0.50) and composite reliability (> 0.70), and the overall model fit (GoF = 0.56) was deemed robust. The study confirms that investments in scientific training and development play a central role in enhancing human resource productivity through effective risk management, communication, and reward mechanisms in construction settings. Furthermore, implementing structured risk management systems and integrating immersive safety training technologies can lead to safer, more innovative, and productive work environments in Iraq’s construction industry.

 

References

Annisa, I., Lumbanraja, P., & Absah, Y. (2023). THE INFLUENCE OF CONFLICT AND OCCUPATIONAL HEALTH AND SAFETY ON WORK PRODUCTIVITY THROUGH MOTIVATION AT PT. KARYA MUDA NASIONAL IN MANDAILING NATAL. International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS), 3(2), 434-444. https://doi.org/10.54443/ijebas.v3i2.757

Calligaris, S., Del Gatto, M., Hassan, F., Ottaviano, G. I., & Schivardi, F. (2016). Italy's productivity conundrum. A study on resource misallocation in Italy. https://economy-finance.ec.europa.eu/publications/italys-productivity-conundrum-study-resource-misallocation-italy_en

Chi, H., Vu, T. V., Nguyen, H. V., & Truong, T. H. (2023). How financial and non-financial rewards moderate the relationships between transformational leadership, job satisfaction, and job performance. Cogent Business & Management, 10(1), 2173850. https://doi.org/10.1080/23311975.2023.2173850

Creemers, S., Peeters, L., Castillo, J. L. Q., Vancauteren, M., & Voordeckers, W. (2023). Family firms and the labor productivity controversy: A distributional analysis of varying labor productivity gaps. Journal of Family Business Strategy, 14(2), 100515. https://doi.org/10.1016/j.jfbs.2022.100515

Daspit, J. J., Madison, K., Barnett, T., & Long, R. G. (2018). The emergence of bifurcation bias from unbalanced families: Examining HR practices in the family firm using circumplex theory. Human Resource Management Review, 28(1), 18-32. https://doi.org/10.1016/j.hrmr.2017.05.003

Génesis, C. A., Stefania, G. C., Karen, P. J., Claudia, G. D., & Yulineth, G. C. (2022). Occupational Safety and Health Management Systems As A Component Of Labor Productivity.

Gomez-Mejia, L. R., Patel, P. C., & Zellweger, T. M. (2018). In the horns of the dilemma: Socioemotional wealth, financial wealth, and acquisitions in family firms. Journal of Management, 44(4), 1369-1397. https://doi.org/10.1177/0149206315614375

Hulu, T. (2021). Pengaruh Manajemen Konflik terhadap Produktivitas Kerja Karyawan pada Kantor Camat Gomo Kabupaten Nias Selatan

Jiménez Ludeña, R. M. (2019). Analisis de la productividad desde la perspectiva humana y su relacion con el rendimiento laboral en las UDR que conforman la Gerencia Macro Regional Norte del SIS,2017 Univ. Nac. Piura]. https://alicia.concytec.gob.pe/vufind/Author/Home?author=Jim%C3%A9nez+Lude%C3%B1a%2C+Rosa+Milagros

Kurniawan, R., Darmawati, T., & Puspita, S. (2024). Influence occupational health safety and work discipline on employee productivity at the energy and mineral resources department of South Sumatra. Journal of Multidisciplinary Academic Business Studies, 1(4), 677-687. https://doi.org/10.35912/jomabs.v1i4.2285

Lari, M. (2024). A longitudinal study on the impact of occupational health and safety practices on employee productivity. Safety Science, 170, 106374. https://doi.org/10.1016/j.ssci.2023.106374

Naveed, & Wang, C. (2022). Innovation and labour productivity growth moderated by structural change: Analysis in a global perspective. Technovation, 102554. https://doi.org/10.1016/j.technovation.2022.102554

Padriansyah, E., & Firmansyah, D. (2021). Effect of Workload and Work Conflict on Employee Productivity at PT. Catur Sentosa Adiprana, Sukabumi Regency. Management Student Journal, 2(2). https://www.scribd.com/document/795462818/5-elpan-padriansyah-manajemen-2021-fix

Pan, W., Xie, T., Wang, Z., & Ma, L. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303-311. https://doi.org/10.1016/j.jbusres.2021.09.061

Rajat, K. S. (2018). Occupational Health in India. Annals of Global Health. https://pmc.ncbi.nlm.nih.gov/articles/PMC6748231/

Rios-Avila, F. (2020). Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition. The Stata Journal, 20(1), 51-94. https://doi.org/10.1177/1536867X20909690

Torrecilla-García, M. d. C., Pardo-Ferreira, J. C., Rubio-Romero, S. J., Calero, C., & NebroMellado, J. J. (2021). Assessment of research, development and innovation in occupational health and safety in Spain. Saf. Sci., 141. https://doi.org/10.1016/j.ssci.2021.105321

Downloads

Published

2024-06-30

Submitted

2024-10-03

Revised

2025-03-10

Accepted

2025-03-21

How to Cite

Hameed , A. M. ., Shyaa Alsalami, H. H., & Davoodi, S. M. R. . (2024). Designing an Interpretive Structural Model of Human Resource Productivity with a Focus on Occupational Health and Safety Management Systems in Iraq’s Construction Industry. Journal of Resource Management and Decision Engineering, 3(2), 49-61. https://journalrmde.com/index.php/jrmde/article/view/55

Similar Articles

1-10 of 48

You may also start an advanced similarity search for this article.