Document Type : Research Paper
Authors
1 PhD student in Sports Management, Faculty of Management and Accounting, Farabi Faculty, University of Tehran, Qom, Iran
2 Associate Professor of Sport Management, Faculty of Management and Accounting, University of Tehran, Qom, Iran
3 Associate Professor of Sports Management, University of Tehran, Tehran, Iran
4 Assistant Professor of Sports Management, Faculty of Management and Accounting, University of Tehran, Qom, Iran.
Abstract
The purpose of this research is to design the gross national happiness model based on sports events through virtual pages. The research method is qualitative and with a thematic approach. The statistical population included two sections of human resources (professors) and information sources related to the research topic. The human sample included sports management professors specializing in sports events, media and also in the field of happiness. The criteria for selecting these people was to have research experience in these fields (at least two published studies). The sources of information included the comments of the followers of the personal pages of Iranian national athletes. Athletes who had a history of participating in world arenas (World Cup, Olympics and Asian Games) and were able to bring honors to Iran. The number of professors participating in the research was 15 (the criteria for completing the interviews was theoretical saturation) and the number of analyzed pages on Instagram was 22. Sampling was done in a targeted manner in the human resources and information resources department. The results of the coding showed that there are three main codes related to sports (sports performance, competition results and legionaries of athletes), related to behavior (observance of morals and behavior with fans) and symbols and appearances (religious elements, anthem and flag of Iran, movements Symbolism and covering of players) is one of the main components effective in creating gross national happiness based on sports events through virtual pages.
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