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.