Presenting a Parsonian Model of Human Resource Productivity in the Timely Completion of School Renovation Projects
Keywords:
Productivity, Human Resources, Parsons' ModelAbstract
Parsons' approach is based on the methodological foundation of voluntarism and the epistemological basis of analytical realism, aiming to balance the two major methodological traditions. Accordingly, the objective of this study is to present a Parsonian model of human resource productivity in the timely completion of school renovation projects. This research utilized a descriptive-analytical method, employing a survey of 15 expert school renovation specialists from Alborz Province. Using the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), factors influencing human resource productivity in the timely completion of school renovation projects were examined based on the Parsonian model, focusing on the city of Karaj. The final weight of each model indicator was calculated using the fuzzy AHP technique. The goal achievement index, with a weight of 0.181, was ranked as the top priority. Furthermore, the option of utilizing modern technologies—applying advanced technologies to enhance performance and productivity—was the highest priority among strategies, with a closeness coefficient (CL) of 0.674. The empowerment and training option, which involves aligning team members' skills and knowledge with project requirements and enhancing their capabilities to increase productivity, ranked second with a CL of 0.661. The resource allocation strategy—efficient and optimal allocation of resources based on project needs and priorities—ranked third, with a CL of 0.545. Based on the findings, goal achievement was identified as one of the most critical factors, while the utilization of modern technologies emerged as the most important strategy among the Parsonian theoretical approaches.
Downloads
References
Doukari, O., Wakefield, J., Martinez, P., & Kassem, M. (2024). An ontology-based tool for safety management in building renovation
projects. Journal of Building Engineering, 84. https://doi.org/10.1016/j.jobe.2024.108609
Göbel, C., & Zwick, T. (2013). Are personnel measures effective in increasing productivity of old workers? Labour Economics, 22, 80-93.
https://doi.org/10.1016/j.labeco.2012.11.005
Goshu, Y. Y., & Kitaw, D. (2017). Performance measurement and its recent challenge: a literature review. International Journal of Business
Performance Management, 18(4), 381-402. https://doi.org/10.1504/IJBPM.2017.087103
Grant, C. (2017). The contribution of education to economic growth. https://www.ids.ac.uk/publications/the-contribution-of-educationto-economic-growth/
Haronian, E., & Sacks, R. (2018). A specialized information schema for production planning and control of road construction. In Work and
eBusiness in Architecture, Engineering and Construction (pp. 257-264). CRC Press.
Ilyas, M., Kadir, K. A., & Adnan, Z. (2017). Relationship between training and employee productivity in organization: a partial least square
(PLS-SEM) approach. Information and Knowledge Management, 7(3), 53-60.
on_A_Partial_Least_Square_PLS-SEM_Approach
Neyestani, B., & Juanzon, J. B. (2016). Developing an appropriate performance measurement framework for total quality management
(TQM) in construction and other industries. IRA-International Journal of Technology & Engineering, 5(2), 32.
https://doi.org/10.21013/jte.v5.n2.p2
Pakravan, A., & Valipour, A. (2017). Risk management and organizational risk management in construction projects. In Fifth International
Congress on Civil Engineering, Architecture, and Urban Development,
Pangemanan, D., Latief, R., Hamzah, S., & Arifuddin, R. (2023). Study on the Application of Sustainable Construction in the Development of
the Likupang Special Economic Zone. International Journal of Engineering, 36(1), 50-59. https://doi.org/10.5829/ije.2023.36.01a.07
Rabbi, A. B. K., Jeelani, Idris. (2024). AI integration in construction safety: Current state, challenges, and future opportunities in text, vision,
and audio based applications. Automation in Construction, 164, 105443. https://doi.org/10.1016/j.autcon.2024.105443
Sal, A., & Raja, M. (2016). The impact of training and development on employees performance and productivity. International Journal of
Management Sciences and Business Research, 5(7). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2849769
Taleshalipour, M., Ghazimoradi, Mostafa, rasekhi sahneh, Alireza. (2024). A review of research on the use of smart contracts in construction
projects, a meta-analysis. Journal of Environmental Science Studies, 9(3), 9020-9007. https://doi.org/10.22034/jess.2023.417376.2139
Utami, E. R., & Barokah, Z. (2024). The determinants of corporate anti-corruption disclosures: evidence from construction companies in the
Asia-Pacific. Corporate Governance, 24(6), 1414-1441. https://doi.org/10.1108/CG-04-2023-0152
Wong, J. M., Chiang, Y. H., & Ng, T. S. (2008). Construction and economic development: the case of Hong Kong. Construction Management
and Economics, 26(8), 815-826. https://ideas.repec.org/a/taf/conmgt/v26y2008i8p815-826.html
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2024 داوود پوریان; رضا ابراری (نویسنده)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.