Design and Validation of a Business Development Services Enhancement Model in Industrial Clusters Using a Mixed-Methods Approach

Subject Areas : Business Management

Amir Hajipour ¹ , Hamid Azizmohammadlou ² , naser khani ³ , Bita Yazdani ⁴

1 - Department of Management, Na.C., Islamic Azad University, Najafabad, Iran.
2 - Department of Accounting, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran.
3 - Department of Management, Na.C., Islamic Azad University, Najafabad, Iran.
4 - Department of Management, Na.C., Islamic Azad University, Najafabad, Iran.

Received: 2025-01-25 Accepted : 2025-11-17 Published : 2025-12-20

Keywords: Business development, industrial clusters, fuzzy screening, small and medium-sized industries. ,

Abstract :

This study aimed to identify the dimensions and components affecting business development services (BDS) in industrial clusters and to design a model for their improvement. The research adopted a mixed-methods and developmental approach. In the qualitative phase, data were systematically processed and analyzed using the Grounded Theory method, supported by MAXQDA software. In the quantitative phase, analyses were conducted employing fuzzy screening, structural equation modeling (SEM) with SmartPLS, and preliminary statistical analyses with SPSS. The qualitative sample consisted of 16 experts and consultants from industrial clusters across the country, selected for their extensive experience and in-depth knowledge of the subject. The quantitative population comprised business units located in industrial clusters in Isfahan County, business service center consultants, and relevant supporting institutions. Sampling in both phases was purposive, and data were collected through in-depth interviews, written sources, and online databases. Validity and reliability were ensured through participant feedback and test-retest methods. The findings revealed one core category, six axial categories, and 71 subcategories across causal, contextual, intervening factors, strategies, and outcomes. Quantitative analysis indicated a positive and significant impact of causal, contextual, and intervening factors on the improvement of business development services. The designed model demonstrates that strengthening these factors can enhance the performance of industrial clusters, as well as increase satisfaction, profitability, and the effectiveness of institutional and political-economic structures. These results underscore the importance of simultaneously addressing causal, contextual, and intervening factors in improving the quality of business development services.

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