Big Data and Analytics in Sport Management

Abstract

Big data and analytics have become an essential component of organizational operations. The ability to collect and interpret significantly large data sets has provided a wealth of knowledge to guide decision makers in all facets of society. This is no different in sport management where big data has been used on and off the field to guide decision making across the industry. As big data evolves, there are concerns regarding the use of enhanced analytic techniques and their advancement of knowledge and theory. This special issue addresses these concerns by advancing our understanding of the use of big data in sport management research and how it can be used to further scholarship in the sport industry. The six articles in this special issue each play a role in advancing sport analytics theory, producing new knowledge, and developing new inquiries. The implications discussed in these articles provide a foundation for future research on this evolving area within the field of sport management.

Integrating the Big Data in Sports and Resource Interaction Using Artificial Neural Network

“…The reasons for using the data warehouse method are as follows: (1) The data warehouse method already exists in a large number of business databases. It can realize the efficient integration of business data without affecting the original business system.…”

“…He had played a role in advancing the theory of sports analysis, generating new knowledge, and developing new inquiry, respectively. It lays the foundation for future research in this growing field in the field of sports management [1]. Big data, artificial intelligence, data analysis, machine learning, and neural networks are promising prospects in the current industry.…”

“…Although the BP network has the above advantages and is widely used, it also has some disadvantages, namely (1) Due to the constant study speed, the integration speed of the network is very slow and the processing time is very slow. Learning is long.…”

“…The innovations of this study are: (1) This article proposes to improve traditional learning algorithms with a combination of variable learning speed and acceleration. (2) This article uses a system for classifying data collected by sports big data integration systems and provides an effective comparison of network connectivity before and after algorithm upgrades.…”

The transformative impact of big data applications in sport marketing: current and future directions

“…The use of BD has gained popularity in social science (George et al , 2014; Humphreys and Wang, 2018; Lazer and Radford, 2017; Tonidandel et al , 2018) because data have become more readily available and the tools for analysis support improving science and practices. Correspondingly, the current interest in BD research among various domains of sport research has witnessed an increasing reliance on data-driven strategies with the fusion of BD and data analytics knowledge (Burton, 2019; DeSchriver et al , 2021; Gong et al , 2021; Lopez, 2020; Watanabe et al , 2021).…”