| نویسندگان | Mahmood Sangari,Mohammad Ali Sahebkaran,Fatemeh Taherinasab |
| نشریه | مطالعات دانش پژوهی |
| شماره صفحات | 189-204 |
| شماره سریال | 5 |
| شماره مجلد | 1 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2026 |
| نوع نشریه | چاپی |
| کشور محل چاپ | ایران |
| کلید واژه ها | Sport Management, Sports Management, scientometric analysis, Thematic Evolution, Keyword Trends, Concept Mapping |
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چکیده مقاله
Purpose: This study provides a scientometric overview of sport management research, with
particular emphasis on the thematic structure and keyword dynamics of the field.
Methodology: A keyword-based approach was used for data collection, employing the terms
“sport management” and “sports management” within the titles or author-indexed keywords of
publications. A total of 5,743 English-language articles were retrieved from the Scopus database.
Following data normalization and preprocessing, the dataset was analyzed using comprehensive
scientometric tools. The study examines the overall scientometric profile of the field, including
temporal trends, citation patterns, and domain distribution, as well as thematic developments
within sport management literature. VOSviewer and the Bibliometrix R package were utilized to
perform keyword analysis, co-occurrence mapping, and thematic clustering.
Findings: The results identify eight primary thematic domains within sport management
research: Organizational Strategy and Technological Integration; Athlete Health and Injury
Management; Athlete Performance and Sport Psychology; Governance, Safety, and Health
Policy; Sustainable Sport Event Management; Social Equity and Inclusion in Sport; Sport Tourism
and Environmental Sustainability; and Participant Motivation and Volunteerism. Several of these
domains demonstrate thematic overlap, reflecting the interdisciplinary nature of the field.
Conclusion: The findings indicate a shift in sport management research from traditional and
foundational themes toward technology-oriented topics, particularly those related to big data
and machine learning.
Value: These findings provide insights for future research while expanding the understanding
of sport management. By offering an evidence-based overview of thematic developments, the
study provides academics, practitioners, and policymakers with a foundation to guide future
developments and strategic decision-making.
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