Introduction and Objective: The electronic sports industry, as one of the dynamic and growing sectors of sports, requires economic and social models based on industrial structure to support sports managers in making sustainable decisions and predicting athlete performance. This study aimed to design such models.

Methodology: This research was a mixed-methods, exploratory, and sequential study. In the qualitative section, 16 experts in sports management were selected using targeted sampling and theoretical saturation techniques, and interviews were conducted. In the quantitative section, 189 faculty members of physical education departments were selected as the statistical sample and a researcher-made questionnaire was distributed.

Results: The qualitative results showed that the strategic factor of multi-dimensional social network value creation was considered for economic development, and in the outcomes section, visible and invisible expected results were considered from the organizational, institutional, and supporter perspectives. In the quantitative section, the t-value in the relevant path analysis showed that each factor had a significant effect, and all the framework of the economic development model of the electronic sports industry with the application of social networks was confirmed.

Conclusion: Based on the results, economic and social models based on industrial structure in electronic sports can support sports managers in making sustainable decisions and predicting athlete performance. These models should emphasize multi-dimensional social network value creation, visible and invisible expected results from the organizational perspective, and institutional support.