Conference Theme Track - Innovative Research Informing Practice
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Paper Type
Complete
Paper Number
1634
Description
Compared to other popular sports, soccer is quite a fluid sport with high degrees of freedom, which is why evaluating games or single players' performance is more demanding and complex. Even though the availability of different types of soccer data has increased steadily over the last few years, the process of strategic and tactical decision-making is still traditionally done by single specialists. In this context, the potentials of big data analytics (BDA) provide an advantage in automatically assessing and assembling data from various sources and generating insights that exceed the analytical capability of individual human experts. We focus on this potential by developing a design science research-based BDA artifact, which aims at providing strategic decisional support for managers and experts. In several evaluations with different soccer and sports experts, we are able to show advanced usability of the artifact's instantiation over traditional tools provided by large stats providers.
Recommended Citation
Bley, Katja; Rønningen, Martin Holthe; Spagnoletti, Paolo; and Pappas, Ilias, "The Potential of Big Data Analytics for Decision Support in Sports – The Case of Soccer" (2022). AMCIS 2022 Proceedings. 9.
https://aisel.aisnet.org/amcis2022/conf_theme/conf_theme/9
The Potential of Big Data Analytics for Decision Support in Sports – The Case of Soccer
Compared to other popular sports, soccer is quite a fluid sport with high degrees of freedom, which is why evaluating games or single players' performance is more demanding and complex. Even though the availability of different types of soccer data has increased steadily over the last few years, the process of strategic and tactical decision-making is still traditionally done by single specialists. In this context, the potentials of big data analytics (BDA) provide an advantage in automatically assessing and assembling data from various sources and generating insights that exceed the analytical capability of individual human experts. We focus on this potential by developing a design science research-based BDA artifact, which aims at providing strategic decisional support for managers and experts. In several evaluations with different soccer and sports experts, we are able to show advanced usability of the artifact's instantiation over traditional tools provided by large stats providers.
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Res Infor Practice