Abstract
ABSTRACT Large-scale data has become pervasive and is used in different formats, for different purposes, and in different sectors. However, the adoption and utilization of big data is both complex and context sensitive. This study aims to empirically inform our understanding of the driving and constraining factors that are unique to professional team sports in the adoption and utilization of big data. Semi-structured interviews were conducted with practitioners in professional sports teams, who work directly with big data, from the four major leagues in North America. The findings outline five drivers and six constraints that impact the adoption and utilization of big data. The five capabilities are strategic, informational, transactional, transformational, and infrastructural capabilities, and the six constraining factors are top-management support, talent management, organizational learning culture, data integrity, data security, and window dressing. Conceptually, the work extends the Technology-Organization-Environment framework specific to professional sport. Practical implications as well as suggestions for future research are provided.
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