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Haghparast, Mehran, Soltan Hosseini, Mohamad, Nasr Esfahani, Davood. (1403). A Financial Management Maturity Model in Sports Organizations: A Novel Approach Using Artificial Intelligence. , (), -. doi: 10.22103/jnssm.2024.24171.1335
Mehran Haghparast; Mohamad Soltan Hosseini; Davood Nasr Esfahani. "A Financial Management Maturity Model in Sports Organizations: A Novel Approach Using Artificial Intelligence". , , , 1403, -. doi: 10.22103/jnssm.2024.24171.1335
Haghparast, Mehran, Soltan Hosseini, Mohamad, Nasr Esfahani, Davood. (1403). 'A Financial Management Maturity Model in Sports Organizations: A Novel Approach Using Artificial Intelligence', , (), pp. -. doi: 10.22103/jnssm.2024.24171.1335
Haghparast, Mehran, Soltan Hosseini, Mohamad, Nasr Esfahani, Davood. A Financial Management Maturity Model in Sports Organizations: A Novel Approach Using Artificial Intelligence. , 1403; (): -. doi: 10.22103/jnssm.2024.24171.1335

A Financial Management Maturity Model in Sports Organizations: A Novel Approach Using Artificial Intelligence

Journal of New Studies in Sport Management
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 11 آذر 1403
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22103/jnssm.2024.24171.1335
نویسندگان
Mehran Haghparast1؛ Mohamad Soltan Hosseini* 2؛ Davood Nasr Esfahani3
1Ph.D Candidate in Sports Management, Faculty of Sports Sciences, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.
2Faculty of Sports Sciences, Isfahan University, Isfahan, Iran
3PhD in Sport Management, Lecturer of Faculty of Physical Education and Sport Sciences, Isfahan Branch, Islamic Azad University, Isfahan, Iran.
چکیده
This paper deals with the development of a financial management maturity model for sports organizations based on artificial intelligence. We jointly consider enhancing financial transparency, oversight and control, risk management, and using advanced technologies in sports organizations. The proposed scheme relies on a constructivist grounded theory approach. The research process involved data collection through in-depth interviews with five AI language models, ChatGPT, Claude, Google Gemini, Mistral, and LLaMA. In addition, these models were utilized as an alternative to traditional experts. Finally, extensive simulations were conducted to validate that 209 initial codes were identified, which were then refined to 44 codes and eventually consolidated into 11 key themes. These themes include financial transparency, oversight and control, budget planning, risk management, and the use of advanced technologies. Numerical results show the efficiency that these themes are interlinked in a chain-like manner and contribute to enhancing the financial efficiency of sports organizations.
کلیدواژه‌ها
Financial Management؛ Financial Transparency؛ Sports Organizations؛ Artificial Intelligence؛ Big Language Model
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تعداد مشاهده مقاله: 97


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