1- Department of Management, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran. , aliasghar.abdeshahi@gmail.com
2- Head of Administrative and Public Services, Social Security Hospital, Khorramabad, Iran.
2- Head of Administrative and Public Services, Social Security Hospital, Khorramabad, Iran.
Abstract: (217 Views)
Purpose: This study investigated the nonlinear impact of three institutional–developmental indicators of e-government development, human development, and governance effectiveness on Iran’s GDP during the period 2010–2024. The main objective was to determine not only their individual effects but also their optimal combinations for enhancing sustainable economic growth.
Methodology: The research was quantitative and applied, relying on global secondary data. Response Surface Methodology (RSM) was employed to analyze linear, quadratic, and interactive effects among the variables. This approach allowed for the construction of second-order models and the identification of optimal policy points, which conventional linear econometric models often fail to capture.
Findings: The results show that e-government development exerts the strongest and most significant positive influence on GDP growth, highlighting its significant role in economic performance. Governance effectiveness also demonstrates a positive and accelerating relationship, confirming that improvements in institutional quality drive stronger economic expansion. By contrast, human development exerts a positive effect at lower levels but encounters diminishing returns beyond a threshold, indicating a “saturation effect” that may reduce efficiency in resource-constrained contexts.
Originality: For the first time in Iran, this study applies RSM to model nonlinear institutional effects on GDP, offering an innovative framework for data-driven policy analysis.
Recommendations: Policymakers should prioritize strengthening e-government and improving governance effectiveness. Moreover, organizations should design human development strategies with attention to marginal returns to ensure long-term productivity.
Methodology: The research was quantitative and applied, relying on global secondary data. Response Surface Methodology (RSM) was employed to analyze linear, quadratic, and interactive effects among the variables. This approach allowed for the construction of second-order models and the identification of optimal policy points, which conventional linear econometric models often fail to capture.
Findings: The results show that e-government development exerts the strongest and most significant positive influence on GDP growth, highlighting its significant role in economic performance. Governance effectiveness also demonstrates a positive and accelerating relationship, confirming that improvements in institutional quality drive stronger economic expansion. By contrast, human development exerts a positive effect at lower levels but encounters diminishing returns beyond a threshold, indicating a “saturation effect” that may reduce efficiency in resource-constrained contexts.
Originality: For the first time in Iran, this study applies RSM to model nonlinear institutional effects on GDP, offering an innovative framework for data-driven policy analysis.
Recommendations: Policymakers should prioritize strengthening e-government and improving governance effectiveness. Moreover, organizations should design human development strategies with attention to marginal returns to ensure long-term productivity.
Keywords: E-Government, Governance Effectiveness, Human Development, Economic Growth, Response Surface Methodology, Economic Policymaking.
References
1. Abu Alfoul, M. N., Tajaddini, R., Gholipour, H. F., Bashar, O., & Jamaani, F. (2024). The impacts of ICT on economic growth in the MENA countries: Does institutional matter? Politická ekonomie, 72(3), 446-477. [DOI:10.18267/j.polek.1409]
2. Al-Refai, M. (2020). The impact of e-government on economic growth in GCC countries. International Review, 1(1), 18-28. [DOI:10.5937/intrev2001018A]
3. Alkharisi, M. K., & Dahish, H. A. (2025). The application of response surface methodology and machine learning for predicting the compressive strength of recycled aggregate concrete containing polypropylene fibers and supplementary cementitious materials. Sustainability, 17(7), 2913. [DOI:10.3390/su17072913]
4. Al-Masouri, K., Rezaeian, A., Nezafati, N., & Avtar-Khani, A. (2020). Designing and explaining an IT capability-based model to measure organizational intelligence for improving the status of e-government (Case study: A public university in Iran). National Conference on Civil Engineering, Architecture and IT in Urban Life, Mashhad. (In Persian) [https://civilica.com/doc/1134723]
5. Banerjee, P., & Choudhury, S. (2020). Agent-based computational model aided approach to improvise the inequality-adjusted human development index (IHDI) for greater parity in real scenario assessments. [DOI:10.48550/arXiv.2010.03677]
6. Bedane, B. G., Alam, M. R., & Kitenge, E. (2017). Government effectiveness and economic growth. Economics Bulletin, 37(1), 222-227.
7. Bhunia, A., & Dean, J. (2020). Inequality adjusted human development index: A method for the economics of frustration and the computation of its model. ResearchGate. [DOI:10.13140/RG.2.2.22613.65768]
8. Enlyft. (2025). Companies using JMP. Retrieved May 16, 2025. [https://enlyft.com/tech/products/jmp]
9. Fawaz, F., Mnif, A., & Popiashvili, A. (2021). Impact of governance on economic growth in developing countries: A case of HIDC vs. LIDC. Journal of Social and Economic Development, 23(2), 1-15. [DOI:10.1007/s40847-021-00149-x]
10. Gruzina, Y., Firsova, I., & Strielkowski, W. (2021). Dynamics of human capital development in economic development cycles. Economies, 9(2), 67. [DOI:10.3390/economies9020067]
11. Jamaldini M, Hosseinzadeh B, Shojaee A A. (2022). Investigating the effect of web-based management on organizational time management. Management and Development Process (JMDP), 35(3), 197-219. (In Persian) [DOI:10.52547/jmdp.35.3.197]
12. Kaiser, Z. R. M. A. (2024). Smart governance for smart cities and nations. Journal of Economy and Technology, 2(1), 216-234. [DOI:10.1016/j.ject.2024.07.003]
13. Khodabandeh R, Monavarian A, Nargesian A. (2024). A Model for Tax Evasion Prevention in Iran, Based on Preventive Network Governance Approach. Management and Development Process (JMDP). 36(4), 3-33. (In Persian) [DOI:10.61186/jmdp.36.4.3]
14. Kim, D. (2018). A nonlinear economic growth model: A system dynamics perspective. Korean System Dynamics Review, 19(1), 31-56. [DOI:10.32588/ksds.19.1.2]
15. Lopes, L. E. M., Packham, N., & Walther, U. (2023). The effect of governance quality on future economic growth: An analysis and comparison of emerging market and developed economies. SN Business & Economics, 3(6). [DOI:10.1007/s43546-023-00488-3]
16. Mathews, P. G. (2005). Design of experiments with MINITAB. ASQ Quality Press.
17. Mahmoudi, M. (2021). Identifying the main factors of Iran's economic growth using growth accounting framework. European Journal of Business and Management Research, 6(5), 239-245. [DOI:10.24018/ejbmr.2021.6.5.1099]
18. Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response surface methodology: Process and product optimization using designed experiments (4th ed.). Wiley.
19. Nasiri H, Yamani Douzi Sorkhabi M, Zaker-Salehi G, Abolghasemi M. (2022). Analysis of predicted interactions of science and technology stakeholders in upstream laws and documents. Management and Development Process (JMDP), 35(3), 165-195. (In Persian) [DOI:10.52547/jmdp.35.3.165]
20. Piddubna, L., Dybach, I., Krasovskiy, V., Pliekhanov, K., & Mogylevskyi, R. (2024). Analysis of the impact of digital development on a country's economic growth. Economics of Development, 23(2), 38-46. [DOI:10.57111/econ/2.2024.38]
21. Rahman, R. A., Raja, M. A., & Ryan, C. (2020). The impact of human development on economic growth: A panel data approach. SSRN Electronic Journal. [DOI:10.2139/ssrn.3526909]
22. Rahmani, A., Behbahaninia, P. S., Parsaei, M., & Mahmoudkhani, M. (2023). A public sector financial management maturity model for developing countries: The case of Iran. International Review of Administrative Sciences, 90(3), 581-598. [DOI:10.1177/00208523231195707]
23. Rahnaward, F. (2022). Mega-Policies of The Development Plan: A Case Study of Iran. Management and Development Process (JMDP), 35(3), 3-56. (In Persian) [DOI:10.52547/jmdp.35.3.3]
24. Rizkallah, W. W. A. (2020). The relationship between good governance and sustainable human development in Egypt. International Journal of Advanced Engineering and Business Sciences, 1(1), 25-40. [DOI:10.21608/ijaebs.2021.43833.1003]
25. Roxas, B. (2025). E-governance and sustainable human development in Asia: A dynamic institutional path perspective. Journal of Asian Business and Economic Studies, 32(1), 15-27. [DOI:10.1108/JABES-02-2024-0076]
26. Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.
27. Simaei Chafi, H., & Memarzadeh Tehran, G. (2022). Designing a capacity-building model for network governance. Management and Development Process (JMDP), 35(1), 25-52. (In Persian) [DOI:10.52547/jmdp.35.1.25]
28. Sukarno, M., & Nurmandi, A. (2023). E-government development index impact on world governance indicator index in Southeast Asian countries. Journal of Contemporary Governance and Public Policy, 4(1), 97-114. [DOI:10.46507/jcgpp.v4i1.106]
29. Taherpour Kalantari, H., Rahnaward, F., & Hoseini Maram, S. M. T. (2012). Identifying barriers to the implementation of e-government in governmental organizations in Qom province. Management and Development Process (JMDP), 25(4), 87-112. (In Persian) [http://jmdp.ir/article-1-1344-fa.html]
30. Tan, S. Y., & Taeihagh, A. (2020). Smart city governance in developing countries: A systematic literature review. Sustainability, 12(3), 899. [DOI:10.3390/su12030899]
31. United Nations Development Programme (UNDP). (2024). Human development indicators: Iran (Islamic Republic of). Humanitarian Data Exchange. Retrieved May 14, 2025. [https://data.humdata.org/dataset/hdro-data-for-iran-islamic-republic-of]
32. World Bank. (2024a). Worldwide governance indicators: (Islamic Republic of Iran). Data Bank. Retrieved May 14, 2025. [https://databank.worldbank.org/iran/id/d73269b2]
33. World Bank. (2024b). E-Government Development Index (EGDI). Data360. Retrieved May 14, 2025. [https://data360.worldbank.org/en/dataset/UN_EGDI]
34. World Bank. (2024c). GDP (current US$) - Iran (Islamic Republic of). World Bank Open Data. Retrieved May 14, 2025. [https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=IR]
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