IDEAS home Printed from https://ideas.repec.org/a/bit/bsrysr/v13y2022i1p19-34n9.html
   My bibliography  Save this article

Big Data in Sports: A Bibliometric and Topic Study

Author

Listed:
  • Šuštaršič Ana
  • Videmšek Mateja
  • Karpljuk Damir

    (Faculty of Sport, University of Ljubljana, Slovenia)

  • Miloloža Ivan

    (Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Croatia)

  • Meško Maja

    (University of Maribor, Faculty of Organizational Sciences, Slovenia)

Abstract

Background: The development of the sports industry was impacted by the era of Big Data due to the rapid growth of information technology. Unfortunately, that has become an increasingly challenging Issue.

Suggested Citation

  • Šuštaršič Ana & Videmšek Mateja & Karpljuk Damir & Miloloža Ivan & Meško Maja, 2022. "Big Data in Sports: A Bibliometric and Topic Study," Business Systems Research, Sciendo, vol. 13(1), pages 19-34, June.
    • Handle: RePEc:bit:bsrysr:v:13:y:2022:i:1:p:19-34:n:9
    DOI: 10.2478/bsrj-2022-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/bsrj-2022-0002
    Download Restriction: no
    File URL: https://libkey.io/10.2478/bsrj-2022-0002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lynn Phan & Weijun Yu & Jessica M. Keralis & Krishay Mukhija & Pallavi Dwivedi & Kimberly D. Brunisholz & Mehran Javanmardi & Tolga Tasdizen & Quynh C. Nguyen, 2020. "Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States," IJERPH, MDPI, vol. 17(10), pages 1-10, May.
    2. Thorsten Emig & Jussi Peltonen, 2020. "Human running performance from real-world big data," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    3. Jianxin Li & Ke Deng & Xin Huang & Jiajie Xu, 2019. "Analysis and Applications of Location-Aware Big Complex Network Data," Complexity, Hindawi, vol. 2019, pages 1-2, July.
    4. 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.
    5. Sung-Un Park & Hyunkyun Ahn & Dong-Kyu Kim & Wi-Young So, 2020. "Big Data Analysis of Sports and Physical Activities among Korean Adolescents," IJERPH, MDPI, vol. 17(15), pages 1-11, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Braznev Sarkar & Malay Bhattacharyya, 2021. "Spectral Algorithms for Streaming Graph Analysis: A Survey," Annals of Data Science, Springer, vol. 8(4), pages 667-681, December.
    2. Uwaise Ibna Islam & Enamul Haque & Dheyaaldin Alsalman & Muhammad Nazrul Islam & Mohammad Ali Moni & Iqbal H. Sarker, 2023. "A Machine Learning Model for Predicting Individual Substance Abuse with Associated Risk-Factors," Annals of Data Science, Springer, vol. 10(6), pages 1607-1634, December.
    3. Xiaohe Yue & Anne Antonietti & Mitra Alirezaei & Tolga Tasdizen & Dapeng Li & Leah Nguyen & Heran Mane & Abby Sun & Ming Hu & Ross T. Whitaker & Quynh C. Nguyen, 2022. "Using Convolutional Neural Networks to Derive Neighborhood Built Environments from Google Street View Images and Examine Their Associations with Health Outcomes," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    4. Song Wei & Kuili Wang & Xiangliang Li, 2022. "Design and implementation of college sports training system based on artificial intelligence," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 971-977, December.
    5. 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.
    6. Zbigniew Waśkiewicz, 2023. "Unveiling The Pathway To Success: Leadership In Sport And Management - Exploring Future Directions In Research," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 17(1), pages 212-218.
    7. Mabliny Thuany & Sara Pereira & Lee Hill & Jean Carlos Santos & Thomas Rosemann & Beat Knechtle & Thayse Natacha Gomes, 2021. "Where Are the Best European Road Runners and What Are the Country Variables Related to It?," Sustainability, MDPI, vol. 13(14), pages 1-9, July.
    8. Kengo Ishihara & Naho Inamura & Asuka Tani & Daisuke Shima & Ai Kuramochi & Tsutomu Nonaka & Hiroshi Oneda & Yasuyuki Nakamura, 2021. "Contribution of Solid Food to Achieve Individual Nutritional Requirement during a Continuous 438 km Mountain Ultramarathon in Female Athlete," IJERPH, MDPI, vol. 18(10), pages 1-16, May.
    9. Beiderbeck, Daniel & Evans, Nicolas & Frevel, Nicolas & Schmidt, Sascha L., 2023. "The impact of technology on the future of football – A global Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    10. Poojan Thakkar & Manan Shah, 2021. "An Assessment of Football Through the Lens of Data Science," Annals of Data Science, Springer, vol. 8(4), pages 823-836, December.
    11. Jean-Renaud Pycke & Véronique Billat, 2022. "Marathon Performance Depends on Pacing Oscillations between Non Symmetric Extreme Values," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
    12. A. Ramesh Babu & Niraj Upadhayaya, 2023. "A Framework for Collaborative Computing on Top of Mobile Cloud Computing to Exploit Idle Resources," Annals of Data Science, Springer, vol. 10(6), pages 1635-1651, December.

    More about this item

    Keywords

    Big Data; sport; bibliometric study; topic study; health care management; services; decision making;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bit:bsrysr:v:13:y:2022:i:1:p:19-34:n:9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.