Paradigm Model of Factors Affecting of Open Government Data Policy in Iranian Sports Industry

Open government data is a new issue that is on the agenda of international institutions and developed governments and seeks to use the capacity of the people in policy-making. Achieving this requires identifying the status quo, explaining the status quo, and analyzing the gap between the status quo and the status quo. One of the important areas that require the use of open data is the field of Iranian championship sports, which in previous research has been limited to this area, so the present study aimed to design a paradigm model of factors affecting open government data policy in the Iranian sports industry. This research is of qualitative type and is development-applied in terms of purpose and descriptive-survey in terms of nature and form of implementation. The statistical population of the study includes faculty members, policy makers and sports decision makers in the country at the macro level and sampling was done using the snowball method and finally occurred with 15 theoretical saturation interviews. Data collection tools included semi-structured interviews and coding and data theory theory method were used to analyze specialized interviews. Based on the findings, a model of factors affecting open government data policy in the Iranian sports industry was designed. The results indicate that this model has 6 main dimensions including causal conditions (lack of sports development, low participation, poor creativity and policy-making, etc.), intervenors (institutional factors, cultural and social factors, information distribution channels, etc.), Background conditions (environmental factors, legal and legal factors, technical infrastructure