In collaboration with Payame Noor University and Scientific Association of Sports Management of Iran

Document Type : Research Paper

Authors

1 Faculty of Physical Education and Sport Sciences, Allameh Tabataba'i Univeristy

2 Faculty of Physical Education and Sport Sciences, Allameh Tabataba’i University

3 Faculty of Physical Education and Sport Sciences , Allameh Tabataba'i University

4 ,Faculty of Management and Accounting, ,Allameh Tabataba'i University

5 Faculty of Physical Education and Sports Sciences, Allameh Tabataba’i University

Abstract

The study aims to identify the drive factors of human resource architecture model for managing volunteers in university sport events. The research uses a mixed exploratory method, in which thematic analysis method in the qualitative phase and structural equation modeling in the quantitative phase were used. The Statistical population in the qualitative part includes experts in the field of human resource management, volunteering and university sports and 19 interviewees were selected as the research sample using snowball sampling method. In the quantitative part, 278 volunteers with experience of volunteering in national and international university sports events were selected as the statistical sample. The research method in the qualitative part included a semi-structured interview, and in the quantitative part, a researcher-made questionnaire, whose face and construct validity was confirmed and its reliability was determined by Cronbach's alpha test. Data analysis was done using Spss and Amos version 24 software. The main components of human resource architecture drivers include volunteer competency, training, encouraging participation, empowerment, leadership, managers competency, implementation and feedback, recognizing participation motivations, job description, Job setting and job ladder that were classified into six main categories of knowledge and information, psychological empowerment, managerial ability, career path, recruitment, retention and support.

Keywords