Design Science Guided Sports Information System Framework Development for Sports Data Analytics
We identify various sports-related challenges pertinent to teams, player selections, and event management. We examine both technical and managerial decisions made during player promotion, and various factors influenced the matches. We conceptualize that the game strategies, player and team selection...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
Association for Information Systems
2020
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| Online Access: | https://aisel.aisnet.org/amcis2020/data_science_analytics_for_decision_support/ http://hdl.handle.net/20.500.11937/79991 |
| _version_ | 1848764138813128704 |
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| author | Nimmagadda, Shastri Mullins, Antony Reiners, Torsten Mani, Neel |
| author_facet | Nimmagadda, Shastri Mullins, Antony Reiners, Torsten Mani, Neel |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We identify various sports-related challenges pertinent to teams, player selections, and event management. We examine both technical and managerial decisions made during player promotion, and various factors influenced the matches. We conceptualize that the game strategies, player and team selections, performance-based sports ecology management entities can blend into an informatics paradigm for which sports data modelling and analytics are required. In addition, reviews of players in social media have significance in weighing the economic value of players. With a motivation to systematize and franchise the branded teams and players to generate revenues, we aim at articulating a logical Sports Information System (SIS), for which various design-science guided artefacts are proposed. The research evaluates game strategies, the promotion of promising players, team-based performance, and economic indicators. Documentation of sports facts and logical storage models are vital to generate metadata and assess how players performed and what factors can motivate future matches. |
| first_indexed | 2025-11-14T11:14:36Z |
| format | Conference Paper |
| id | curtin-20.500.11937-79991 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:14:36Z |
| publishDate | 2020 |
| publisher | Association for Information Systems |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-799912021-01-04T05:19:25Z Design Science Guided Sports Information System Framework Development for Sports Data Analytics Nimmagadda, Shastri Mullins, Antony Reiners, Torsten Mani, Neel We identify various sports-related challenges pertinent to teams, player selections, and event management. We examine both technical and managerial decisions made during player promotion, and various factors influenced the matches. We conceptualize that the game strategies, player and team selections, performance-based sports ecology management entities can blend into an informatics paradigm for which sports data modelling and analytics are required. In addition, reviews of players in social media have significance in weighing the economic value of players. With a motivation to systematize and franchise the branded teams and players to generate revenues, we aim at articulating a logical Sports Information System (SIS), for which various design-science guided artefacts are proposed. The research evaluates game strategies, the promotion of promising players, team-based performance, and economic indicators. Documentation of sports facts and logical storage models are vital to generate metadata and assess how players performed and what factors can motivate future matches. 2020 Conference Paper http://hdl.handle.net/20.500.11937/79991 https://aisel.aisnet.org/amcis2020/data_science_analytics_for_decision_support/ Association for Information Systems unknown |
| spellingShingle | Nimmagadda, Shastri Mullins, Antony Reiners, Torsten Mani, Neel Design Science Guided Sports Information System Framework Development for Sports Data Analytics |
| title | Design Science Guided Sports Information System Framework Development for Sports Data Analytics |
| title_full | Design Science Guided Sports Information System Framework Development for Sports Data Analytics |
| title_fullStr | Design Science Guided Sports Information System Framework Development for Sports Data Analytics |
| title_full_unstemmed | Design Science Guided Sports Information System Framework Development for Sports Data Analytics |
| title_short | Design Science Guided Sports Information System Framework Development for Sports Data Analytics |
| title_sort | design science guided sports information system framework development for sports data analytics |
| url | https://aisel.aisnet.org/amcis2020/data_science_analytics_for_decision_support/ http://hdl.handle.net/20.500.11937/79991 |