Identifying and Prioritizing the Factors Affecting the Competitiveness of Start-up Businesses in the Country with a Sports Tourism Approach
Subject Areas : Geography and tourism planning, geography and urban planning, urban planning, architecture, geography and rural planning, political geography
seyed emad hoseini
1
,
maryam naghib hoseini
2
,
farshad emami
3
1 - Department of Sports Management, Faculty of Sports and Health Sciences, Shahid Beheshti University, Tehran, Iran
2 - PHD Student of Sports Management, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
3 - Department of Sports Management, Ayatollah Amoli Branch, Islamic Azad University, Amoly, Iran
Keywords: Competitiveness, Fuzzy hierarchical analysis, Sports tourism, Start-up business.,
Abstract :
The purpose of this research is to investigate the factors affecting the competitiveness of start-up businesses related to sports tourism in the country. The type of research is applied, was done through a mixed method and a survey. The Delphi panel was used to confirm the list of components, as well as experts in the field of sports business to prioritize them. The fuzzy hierarchical analysis method was used to weigh the components and inferential statistics methods were used to analyze the statistical data. The results showed that a total of 5 components and 13 items are considered effective factors. From the point of view of the experts, the component of "optimal technology" with a weight of 0.78754 has the highest degree of importance, followed by the component of "social popularity" with a weight of 0.69094 and "dynamic economy" with a weight of 0.66889. At the end, two components "service quality" and "structural and administrative" are located with weights of 0.63022 and 0.59443, respectively. Also, 13 items were identified, which were: "Internet network and infrastructure", "Tourism market update and competition", "Government incentives and support", "Financing chain", "Administrative licenses", "Marketing requirements", "Compatibility with current needs", "Popularity of social networks and virtual space", "accepting society", "cost savings", "user satisfaction", "unique services" and "avoiding time wastage". Since Kendall's coefficient of agreement was 0.798, the overall fit is also confirmed.