International Journal of Human Movement and Sports Sciences Vol. 14(3), pp. 737 - 746
DOI: 10.13189/saj.2026.140317
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Sports Management Evaluation Model as a Reflection of Regional Identity and Excellence

Ngadiman ^1,*, Akbar Kusuma Abadi ², Fajar Adi Nugroho ³, Yusuf Hidayat ^4
1 Department of Physical Education, Faculty of Health Sciences, Universitas Jenderal Soedirman, Indonesia
² Department of Sports Education, Faculty of Sports Science, Universitas Negeri Semarang, Indonesia
³ Department of Sports Science, Faculty of Science and Technology, Universitas Nahdlatul Ulama Purwokerto, Indonesia
⁴ Faculty of Sport and Health Education, Universitas Pendidikan Indonesia, Indonesia

ABSTRACT

This study aims to evaluate the regional sports management system by emphasizing the relationship between managerial effectiveness and the development of regional sports identity, defined as a distinctive set of characteristics reflecting a region's capacity to develop, manage, and sustain its sports system rooted in local potential, cultural values, and institutional strength. An evaluative approach was applied to six primary dimensions: (1) Athlete–Coach Development and Performance, (2) Referee Quality, (3) Organization and Human Resources, (4) Facilities and Event Management, (5) Partnerships and Funding, and (6) Information Systems. The analysis included descriptive analysis, factor analysis, multiple linear regression, and cluster analysis. The KMO value of 0.686 and Bartlett's Test (p = 0.000) confirmed data suitability. PCA produced two main factors explaining 66.90% of the total variance. Regression analysis yielded an R² of 0.987 (p < 0.001). It should be noted that this exceptionally high R² value is attributable to the composite nature of the dependent variable (Total Z-Score), which is an aggregation of the same six dimensions serving as predictors; thus, the near-perfect fit reflects a mathematical relationship rather than a purely empirical prediction. The Performance and Technical Management factor showed the strongest effect (β = 0.859), followed by Resource Support and Supporting Systems (β = 0.499). K-Means cluster analysis generated three clusters: high-performing (n = 7), moderate (n = 11) with strengths in partnerships and information systems, and low-performing (n = 12), showing weaknesses across all variables. These findings affirm that higher scores reflect not only management effectiveness but also regional sports identity formed through the integration of athlete development, institutional capacity, and sustainable supporting systems.

KEYWORDS
Evaluation Model, Sports Management, Regional Identity

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Ngadiman , Akbar Kusuma Abadi , Fajar Adi Nugroho , Yusuf Hidayat , "Sports Management Evaluation Model as a Reflection of Regional Identity and Excellence," International Journal of Human Movement and Sports Sciences, Vol. 14, No. 3, pp. 737 - 746, 2026. DOI: 10.13189/saj.2026.140317.

(b). APA Format:
Ngadiman , Akbar Kusuma Abadi , Fajar Adi Nugroho , Yusuf Hidayat (2026). Sports Management Evaluation Model as a Reflection of Regional Identity and Excellence. International Journal of Human Movement and Sports Sciences, 14(3), 737 - 746. DOI: 10.13189/saj.2026.140317.