Identifying Factors Influencing the Smartization of Sports Equipment in National Football Stadiums

Document Type : Original Article

Authors

1 Ph.d of Sport Management, University of Tabriz, Tabriz, Iran

2 Associate Professor of Sport Management, University of Tabriz, Tabriz, Iran

3 Professor of Sport Management, University of Tabriz, Tabriz, Iran

Abstract

Purpose: This research aims to identify the factors influencing the smartization of sports equipment in national football stadiums.
Methods: The present study is applied in nature and conducted qualitatively using a descriptive phenomenological approach. The data analysis employed the Colaizzi method. The study population included 23 experts in related fields. Data collection was conducted through semi-structured interviews, and the MAXQDA software version 20 was used for data analysis and categorization. To ensure validity and reliability, criteria such as credibility, transferability, dependability, and confirmability were employed.
Results: The results indicate that smartization of football stadiums can significantly improve fan experience, resource management, and operational efficiency. Modern technologies such as the Internet of Things (IoT), artificial intelligence, and smart management systems contribute to optimizing equipment performance and enhancing stadium security. However, continuous support and maintenance of smart systems, especially in technical areas, data security, and energy management, are crucial. Additionally, high initial costs and the need for long-term investment pose challenges that require careful planning and sufficient resources.
Conclusion: The study concludes that smartization of football stadiums can enhance fan experience, improve efficiency, and reduce costs. However, sustained support and maintenance of smart systems, along with appropriate investment, are essential for optimal system performance. Successfully implementing these processes requires addressing technical challenges, ensuring data security, and managing resources effectively.

Keywords

References

  • Azeroual, O, & Theel, H, (2018). The Effects of Using Business Intelligence Systems on an Excell ence Management and Decision-Making Process by StartUp Companies: A Case Study, International Journal of Management Science and Business Administration,V(4), (3), P.30-40.
  • Alshrafi, S. Al Shobaki, M (2020). The Role of Organizational Leadership in Achieving the Characteristics of Smart Organization, International Journal of Academic Multidisciplinary Research, 4(8), 121-128.
  • Askarian F, Dokhtbagher N, Identify the reasons forthe success or failure of countries in the Olympics. Organizational Behavior Management in Sport Studies, 2015. Vol.2, N6, P: 11-18. [Persion]
  • Al-Qaysi, B. J., & Hussein, H. A. (2019). Technology Management for Supply Chain in Sports Clubs Iraqi and Its Reflection on the Excellence Performance. Int. J Sup. Chain. Mgt Vol, 8(1), 804 .
  • Ahmed, S. A., M. Cruz, D. Go, M. Maliszewska, & I. Osorio-Rodarte (2018). How significant is sub-Saharan Africa’s demographic dividend for its future growth and poverty reduction? Review of Development Economics, Vol 20: 762-793.
  • Ahmed, S. A. & M. Cruz (2018). Making the most of demographic change in Southern Africa, World Bank Policy Research Working Paper No. 7798. Washington, DC: The World Bank.
  • Barro, R. J., & Sala-i-Martin, X. (2004). Economic Growth. Cambridge, Massachusettes: MIT Press
  • Bank, M. (2014). Somatization; The main tool for achieving a wise government, Shahr-e-Ara Technology Journal, 9 (14) .
  • Bloom, D. E & David Canning& Karen Eggleston,(2015), "Human Capital & Ageing," Harvard School of Public Health, Boston, Massachusetts.
  • Bamford, D., Dehe, B. (2016). Service quality at the London 2012 games: A Paralympics athletes survey. International Journal of Quality & Reliability Management, 33(2), 142-59.
  • Bucko, J. (2020). Security of smart banking applications in Slovakia. Journal of theoretical and applied electronic commerce research,12(1), 42-52.
  • Bordieu, P. (2005). "Forms of Capital", In Social Capital: Trust, Democracyand Development, Trans: Afshin Khak Baz & Hassan Puyan, Tehran: Shiraz,Pp133-165.
  • Barbara Woods (2009). Sports Psychology, translated by Fatah A. Mosayebi (2010). Tehran: Bamdadktab Publications.
  • Bloom, D. E., Canning, D., Hu, L., Liu, Y., Mahal, A., & Yip, W. (2010). The contribution of population health and demographic change to economic growth in China and India. Journal of Comparative Economics, 38 (1), 17- 33.
  • Becker, L. A. (2000). Effect size (ES). Retrieved September, 9, 2007.
  • Bjorg, H (2010). New towns development, a new approach in planning for new towns: a case stydy of urban growth of Almere, the Netherlands, The master thesis in Landscape Architecture and Plannng, Netherland: Wageningen University
  • Bolívar, M.P.R. (2018). Smart Cities: Big Cities, Complex Governance? Public Administration and Information Technology 8, DOI 10.1007/978-3-319-03167-5 .
  • N. and Rabinson. L (2009). Bench marking of elite sport systems. Management Decision. Vole. 47 .No. 1. PP. 67 – 84.
  • Colman, A. M. (2015). A dictionary of psychology: Oxford Quick Reference.
  • Carr, K., Smith, K., Weir, P. & Horton, S. (2017). Sport, Physical Activity, and Aging: Are We on the Right Track?" in Sport and Physical Activity across the Springer. pp. 317-346.
  • Chen, Z., Ming, X., Zhou, T., Chang, Y., & Sun, Z. (2020). A hybrid framework integrating rough-fuzzy best-worst method to identify and evaluate user activity-oriented service requirement for smart product service system. Journal of cleaner production, 253, 119954.
  • chad D.Mc Evay ، Mark S ، Timothy D ، M ، Brown. T (2005) Facility age and attendance in major league baseball. Sport Management Review 8.19-41.
  • Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232.
  • Cylus, J., & Al Tayara, L (2021)." Health, an ageing labour force, and the economy: Does health moderate the relationship between population age-structure and economic growth?". Social Science & Medicine, 287, 114353.
  • Chen, N., & Zhong, Z. Z. (2019). Historical memory and brand preference. Available at SSRN, 1-50.
  • Camagni, R., R. Capello (2013). "Regional innovation patterns and the EU regional policy reform: Toward smart innovation policies." Growth and change 44(2): 355-389.
  • Camagni, R., R. Capello (2015). "Rationale and design of EU cohesion policies in a period of crisis." Regional Science Policy & Practice 7(1): 25-47.
  • Chowdhury, S., Haftor, D., & Pashkevich, N. (2018). Smart product-service systems (Smart PSS) in industrial firms: a literature review. Procedia Cirp, 73, 26-31.
  • Daly, R. M., & Bass, S. L. (2006). Lifetime sport and leisure activity participation is associated with greater bone size, quality and strength in older Osteoporosis international, 17(8), 1258-1267.
  • De Bosscher. V De Knop. P. van Battenberg. M (2009) an analysis of homogeneity and heterogeneity of elite sports systems in six nations. International Journal of Sports Marketing & Sponsorship .111-131.
  • Eddie T.c., L., & Bae, J. (2013). Confirmatory factor analysis of the Purchaser Style Inventory for Sport Products (PSISP). Sport Management Review. 17(30), 254-64.
  • Eime, R.M., Charity, M. J., Harvey, J.T. & Payne, W. (2015). Participation in sport and physical activity: associations with socio-economic status and geographical BMC public health, 15(434): 1-12.
  • Hasanzadeh, N. , Moharramzadeh, M. , Naghizadeh-Baghi, A. and Nobakht Sareban, F. (2025). Desining Loyalty Pattern of Formula One Fans in Iran. Research in Sport Management and Marketing, 6(3), 1-11. doi: 10.22098/rsmm.2024.15851.1409
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Research in Sport Management and Marketing
Volume 7, Issue 3
2026
Pages 33-41

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