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A Multidisciplinary Perspective on Publicly Available Sports Data in the Era of Big Data: A Scoping Review of the Literature on Major League Baseball

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  • Jyh-How Huang
  • Yu-Chia Hsu

Abstract

Sports big data has been an emerging research area in recent years. The purpose of this study was to ascertain the most frequent research topics, application areas, data sources, and data usage characteristics in the existing literature, in order to understand the development of data-driven baseball research and the multidisciplinary participation in the big data era. A scoping review was conducted, focusing on the diversity of using publicly available major league baseball data. Next, the co-occurrence analysis in bibliometrics was used to present a knowledge map of the reviewed literature. Finally, we propose a comprehensive baseball data research domain framework to visualize the ecosystem of publicly available sports data applications mapped to the four application domains in the big data maturity model. After searching and screening process from the Web of Science, Science Direct, and SPORTDiscus database, 48 relevant papers with clearly indicated data sources and data fields used were finally selected and full reviewed for advanced analysis. The most relevant research hotspots for sports data are sequentially economics and finance, sports injury, and sports performance evaluation. Subjects studied ranged from pitchers, position players, catchers, umpires, batters, free agents, and attendees. The most popular data sources are PITCHf/x, the Lahman Baseball Database, and baseball-reference.com. This review can serve as a valuable starting point for researchers to plan research strategies, to discover opportunities for cross-disciplinary research innovations, and to categorize their work in the context of the state of research.

Suggested Citation

  • Jyh-How Huang & Yu-Chia Hsu, 2021. "A Multidisciplinary Perspective on Publicly Available Sports Data in the Era of Big Data: A Scoping Review of the Literature on Major League Baseball," SAGE Open, , vol. 11(4), pages 21582440211, November.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:4:p:21582440211061566
    DOI: 10.1177/21582440211061566
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    References listed on IDEAS

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    1. Jyhhow Huang & Hwai-Jung Hsu, 2020. "Approximating strike zone size and shape for baseball umpires under different conditions," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 20(2), pages 133-149, March.
    2. Chih-Cheng Chen & Yung-Tan Lee & Chung-Ming Tsai, 2014. "Professional Baseball Team Starting Pitcher Selection Using AHP and TOPSIS Methods," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(2), pages 545-563, August.
    3. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2018. "The effect of multidisciplinary collaborations on research diversification," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 423-433, July.
    4. Bodvarsson, Őrn B. & Papps, Kerry L. & Sessions, John G., 2014. "Cross-assignment discrimination in pay: A test case of major league baseball," Labour Economics, Elsevier, vol. 28(C), pages 84-95.
    5. Ana Viseu, 2015. "Integration of social science into research is crucial," Nature, Nature, vol. 525(7569), pages 291-291, September.
    6. Jim Downey & Joseph McGarrity, 2019. "Pressure and the ability to randomize decision-making: The case of the pickoff play in Major League Baseball," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(3), pages 261-274, September.
    7. Mills, Brian M. & Salaga, Steven, 2018. "A natural experiment for efficient markets: Information quality and influential agents," Journal of Financial Markets, Elsevier, vol. 40(C), pages 23-39.
    8. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    9. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    10. Deshpande Sameer K. & Wyner Abraham, 2017. "A hierarchical Bayesian model of pitch framing," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(3), pages 95-112, September.
    11. Lewis, Herbert F. & Mallikarjun, Sreekanth & Sexton, Thomas R., 2013. "Unoriented two-stage DEA: The case of the oscillating intermediate products," European Journal of Operational Research, Elsevier, vol. 229(2), pages 529-539.
    12. DepkenII, Craig A., 2000. "Wage disparity and team productivity: evidence from major league baseball," Economics Letters, Elsevier, vol. 67(1), pages 87-92, April.
    13. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    14. Fan, Qingliang & Wang, Ting, 2018. "Game day effect on stock market: Evidence from four major sports leagues in US," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 9-18.
    15. Garcia, Stephen M. & Arora, Poonam & Reese, Zachary A. & Shain, Michael J., 2020. "Free agency and organizational rankings: A social comparison perspective on signaling theory," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    16. Devansh Patel & Dhwanil Shah & Manan Shah, 2020. "The Intertwine of Brain and Body: A Quantitative Analysis on How Big Data Influences the System of Sports," Annals of Data Science, Springer, vol. 7(1), pages 1-16, March.
    17. César Soto-Valero & Mabel González-Castellanos & Irvin Pérez-Morales, 2017. "A predictive model for analysing the starting pitchers’ performance using time series classification methods," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(4), pages 492-509, July.
    18. Baumer Benjamin S. & Jensen Shane T. & Matthews Gregory J., 2015. "openWAR: An open source system for evaluating overall player performance in major league baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(2), pages 69-84, June.
    19. Lawrence M. Kahn, 2000. "The Sports Business as a Labor Market Laboratory," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 75-94, Summer.
    20. Bradbury, John Charles, 2017. "Monopsony and competition: The impact of rival leagues on player salaries during the early days of baseball," Explorations in Economic History, Elsevier, vol. 65(C), pages 55-67.
    21. Vock David Michael & Vock Laura Frances Boehm, 2018. "Estimating the effect of plate discipline using a causal inference framework: an application of the G-computation algorithm," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 14(2), pages 37-56, June.
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