Abstract

The construction of sports information is a unity of individual behaviour and collective behaviour that aims to fully respect the right authority of different sports organizations, which is to take measures to implement market mechanisms, and to mobilize the initiative of different sports enterprises conducting the construction of sports information. Geo-Information System (GIS) has been used as an administrative tool or platform to access potential stakeholders in Sports. The purpose of this paper was to determine the factors influencing sports authorities’ decision to adopt GIS as an administrative platform in Sri Lanka. The technological, organizational and environmental (TOE) framework was used as the conceptual parameter which is a widely accepted model for studying IT adoption in organisations. The data collected, through an online questionnaire-based survey that was completed by 32 respondents ‘analysis, Bivariate Correlation and Linear Regression exploratory statistical test were used to analyse the data and the proposed hypotheses. The results showed that the environmental context has a significant impact on the adoption of the Sports Geo-information system. Organization and Environment contexts have moderate positive relationships with GIS adoption. Although the organizational context has a significant moderate relationship with the GIS adoption, it does not have any significant impact on the adoption of GIS by sports authorities. Superiors support, employees’ innovativeness, and IT experience does not impact the adoption of GIS at the sports institutions respectively. This would imply that any support and guideline from superiors of the organizations for employees would be very crucial for an adoption decision. The strategic level of the sports organizations needs to play an important role to support their employees by providing subjects or practicum training on how to exploit the benefit of GIS for doing smoother sports administration. This paper provides the TOE model as a robust format that can predict the adoption of a Geo-information system as an administrative platform.

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