Identification and Ranking of Entrepreneurial Development Indicators with an Industrial Employment Approach for University Graduates Using Meta-Synthesis Approach

Authors

    Mohammad Hassan Naqdi PhD Student, Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran
    Hasan Dehghan Dahnavi * Associate Professor, Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran denavi2000@yahoo.com
    Mohammad Taghi Honari Assistant Professor, Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran
    Mohammadreza Dehghani Ashkezari Assistant Professor, Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran
    Abolfazl Sadeghian Assistant Professor, Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran
https://doi.org/10.61838/kman.jtesm.3.4.3

Keywords:

Entrepreneurial University, University Entrepreneurship, Entrepreneurial Ecosystem, Industrial Graduate Employment

Abstract

The primary objective of this article is to identify and rank the indicators of entrepreneurial development with an industrial employment approach for university graduates using the meta-synthesis approach. The statistical population of this research consists of experienced managers and experts in the field of entrepreneurial development in the industry, as well as entrepreneurship graduates. A purposive sampling method, which is a non-probability sampling method, was employed, and the perspectives of 16 industrial entrepreneurial development experts were utilized. To familiarize and gain insight into the entrepreneurial development model with an industrial employment approach for graduates of Islamic Azad University branches in Yazd province, as well as for better coordination and identification of research variables, interviews were conducted with several experts. This method yielded acceptable and influential results in identifying the components. Qualitative data content analysis was performed using the meta-synthesis method with the help of MAXQDA software to synthesize studies obtained from a systematic review centered around the topic of this research. To screen the identified indicators and select the main indicators, the fuzzy Delphi technique was used. The interpretive structural modeling (ISM) technique was employed to determine the appropriate activities for public companies, rank their importance, and identify relationships between the indicators. From the extracted indicators in related articles, after eliminating synonymous and frequently recurring indicators, and ultimately categorizing and grouping the final indicators, 12 categories and 64 codes were obtained. Furthermore, based on the frequency of codes, the highest repetition was attributed to the highest entropy. The innovation infrastructure in the field of information security had the highest entropy.

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Published

2024-10-09

Submitted

2023-08-03

Revised

2024-08-21

Accepted

2024-09-03

Issue

Section

پژوهشی اصیل

How to Cite

Naqdi, M. H., Dehghan Dahnavi, H., Honari, M. T., Dehghani Ashkezari, M., & Sadeghian, A. (2024). Identification and Ranking of Entrepreneurial Development Indicators with an Industrial Employment Approach for University Graduates Using Meta-Synthesis Approach. Journal of Technology in Entrepreneurship and Strategic Management (JTESM), 3(4), 37-52. https://doi.org/10.61838/kman.jtesm.3.4.3

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