Motivational profiles of university volunteers in sport events
A segmentation approach
Bibliographic Data
| ID | 17801941 |
|---|---|
| Authors | Salvador Angosto Sánchez (0000-0001-7281-794X), José Miguel Vegara Ferri (Universidad de Murcia, corresponding author), Gonzalo A Bravo (0000-0003-3273-0027, Universidad de Murcia) |
| Year | 2021 |
| Volume | 16 |
| Issue | 50 |
| Publication date | 2021-11-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cultura Ciencia y Deporte (JOURNAL) |
| Journal identifiers | ISSN: 1696-5043 • E-ISSN: 1989-7413 |
| Publisher | UCAM CCD (PUBLISHER) |
| DOI | 10.12800/ccd.v16i50.1575 |
| OpenAlex | W3217681964 |
| Language | EN |
| Citations received | 1 |
| References cited | 11 |
University volunteering is a recurring resource for many sports organizations that contribute altruistically to the success of small-scale sports events and enhance sustainable development in society. This study aimed to evaluate the motivation of sport volunteers in small sport events, identifying the different profiles of volunteers according to their degree of motivation. Participants in this study included 216 university students. The instrument used was an adaptation of the SEVMS scale formed by 22 items divided into four factors (Solidary, Purposive, Commitments/External Traditions, and Spare Time). An exploratory factor analysis (EFA) and a cluster analysis were carried out to identify possible groups of participants according to the motivational factors. Three factors were identified: Solidarity, Purpose, and Commitment/External Traditions. The cluster analysis identified three motivational profiles: "Altruist" with high scores on all three factors; "Career and social seekers" with high scores on solidarity and purpose and very low scores on the factor commitment/external traditions; and the group "Community Supporters" with moderate scores on all items. This study allows us to have a better understanding of the motivational profile of the university student's volunteers according to their characteristics. These findings will help to develop strategies for the promotion and recruitment of volunteers across different university sports programs
Segmentation · Applied Psychology · Computer Science · Nonprofit Sector and Volunteering · Psychology · Sport and Mega-Event Impacts · Youth Development and Social Support · Artificial Intelligence
A Cross-Cultural Examination of Student Volunteering
Multivariate Data Analysis.
Sport Volunteering
Volunteering for Development within the New Ecosystem of International Development
Segmenting volunteers by motivation in the 2012 London Olympic Games
Heterogeneity of sport event volunteer motivations
The legacy costs of delivering the 2012 Olympic and Paralympic Games through regulatory capitalism
The impact of volunteer experience at sport mega‐events on intention to continue volunteering
Understanding and assessing the motivations of volunteers
A continuum of University student volunteer programme models
Sports Volunteering on University-Led Outreach Projects
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |