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Compilation and validation of the national production prosperity model based on the use of a mixed approach | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 19، دوره 15، شماره 10، دی 2024، صفحه 225-234 اصل مقاله (432.41 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.31565.4667 | ||
| نویسندگان | ||
| Mohammad Nasirian1؛ Hasan Dehghan Dehnavi* 1؛ Abolfazl Sadeghian1؛ Seyed Hasan HatamiNasab2 | ||
| 1Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran | ||
| 2Department of Business Management, Yazd Branch, Islamic Azad University, Yazd, Iran | ||
| تاریخ دریافت: 31 خرداد 1402، تاریخ بازنگری: 26 مرداد 1402، تاریخ پذیرش: 13 شهریور 1402 | ||
| چکیده | ||
| This research was conducted with the aim of formulating and explaining a model for national production prosperity based on an integrated approach. The research was both practically oriented and a combination of exploratory nature, employing a mixed-method sequential approach (qualitative-quantitative) to investigate the research topic. Initially, through exploratory interviews with experts and their coding using three coding techniques (open, axial, and selective), the factors and components influencing the formation of the production prosperity pattern were identified. Subsequently, based on the identified factors and components, a research questionnaire was developed. After confirming its validity and reliability, the questionnaire was utilized to gather quantitative data for testing and validating the research model. Research participants in the qualitative phase included university experts familiar with the research subject, selected through snowball sampling, while in the quantitative phase, senior managers, supervisors, production managers, and sales managers of selected active companies in Yazd province were included, utilizing convenience sampling. Given the mixed nature of the current research, data analysis methods in the qualitative section involved using coding techniques (open, axial, and selective) with the aid of MAXQDA software. In the quantitative section, data collected through the questionnaire were analyzed using SMARTPLS and SPSS software at a 95% confidence level. The research findings indicated that six factors (dimensions) and 18 associated components play a role in shaping the production prosperity pattern. These dimensions encompass economic production indicators (3 components), social production indicators (3 components), technological production indicators (3 components), environmental production indicators (3 components), political production indicators (3 components), and cultural production indicators (3 components). After forming the research model in the qualitative phase, the model underwent testing and validation in the quantitative phase. The results indicated its validity, considering the significant values obtained (with a significance level below 0.05). The research model's paths were found to be significant at the mentioned confidence level, indicating that all proposed paths in the suggested model are confirmed. Moreover, model fit indices, including NFI, SRMR, and RMS THETA, also suggested the adequacy of the research model fit. | ||
| کلیدواژهها | ||
| National production prosperity؛ Integrated approach؛ Structural equations؛ MAXQDA؛ SMART PLS | ||
| مراجع | ||
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[1] D. Audretsch, X. Guo, A. Hepfer, H. Menendez, and X. Xiao, Ownership, productivity and firm survival in China, Econ. Politica Indust. 43 (2016), no. 1, 67–83. [2] M. Carriquiry and A. Elobeid, Analyzing the Impact of Chinese Wheat Support Policies on U.S. and Global Wheat Production, Trade and Prices, Dermot Hayes: Iowa State University, 2016. [3] A. Esmaili Khoshmardan, A. Baghjeri, and R. Akbari Afrozi, The role of important economic components in achieving a resistance economy, Fifth Conf. Iran. Islamic Model Progress, the basic model of progress, 2015. [4] N. Fallahzadeh, S. Fallahzadeh, and F. Fallah, Cultivation of support for domestic productions, Nat. Conf. Cultural. Reform. Econ. Behav. Iran today, Abarkoh, Islamic Azad University, Abarkoh Branch, 2013. [5] M. Feshari, The Effective Factors on Survival Duration of Economic Expansion in Selected Countries of Islamic Cooperation Organization (Survival Analysis Approach), Econ. Model. 35 (2016), no. 10, 97–120. [6] M.J. Khalilian Ashkzari, Challenges, strategies and requirements of production boom in the Islamic Republic of Iran, Marafet Islamic Economy Quart. 2 (2018), no. 1. [7] H. Mohammadi, M. Mohammadi, and M. Tirgari Seraji., Investigating factors affecting on per capita GDP growth in different groups of countries with emphasis on governance indicators., Journal of Econ. Model. Res. 8 (2017), [8] M. Perez-Perez, A.M. Serrano Bedia, M. Concepcion Lopez-Fernandez, and G. Garc´ıa Piqueres, Research opportunities [9] A. Rahnama and . Jabbari, the importance of national production and support for Iranian goods with emphasis on the statements of the Supreme Leader (Madh Zaleh Al-Aali), Golestan Police Sci. Quart. 33 (2017), no. 9, 115–134. [10] M.N. Rashvand, review of strategies to strengthen the production of domestic goods in line with resistance economy, Res. J. Agricul. Natural Resour. (2015), no. 19, 88–76. [11] M. Samii Nesab, The theoretical requirements of governance mechanisms in Iran’s economy to promote national production, First Nat. Conf. Relationship Between Human. Prod. Industry, Research Institute of Humanities and Cultural Studies, Tehran, 2017. [12] M.J. Shafiei and Z. Zeraatpisheh, Investigating the role of information technology and entrepreneurship in national production, Pion. Prog. Cong. (2013), no. 4. | ||
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