Review on the Development and Evolution of Foreign Sports Competitive Intelligence
Volume 7, Issue 5, October 2018, Pages: 216-222
Received: Aug. 21, 2018;
Accepted: Sep. 4, 2018;
Published: Oct. 13, 2018
Views 680 Downloads 37
Yue Wen, Department of Physical Education, Beihang University, Beijing, China
Follow on us
Using the research methods of historical analysis, expert interview, mathematical statistics and so on, the present research has, based on the review of sports competitive intelligence development in foreign countries, divided into in three evolution stages according to the features in development, namely, pioneer stage, traditional sport intelligence stage, and modern sport intelligence stage. By analyzing the achievements in each stage, it has proposed the developmental trends in future sport competitive intelligence. Along with the rapid development of modern information technology like the Internet, cloud computing, big data, the development of sport competitive intelligence exhibits the trends of diversified service objects, hi-tech methods and means, multidimensional research paradigm, etc. The prospect of sport competitive intelligence can be summarized as the following: continued development of technology will bring more high- tech data acquisition software and equipment to the field; new multivariate statistical model will make sports competitive intelligence work more forward- looking and predictive.
Foreign, Sports Competitive Intelligence, Evolution, Review
To cite this article
Review on the Development and Evolution of Foreign Sports Competitive Intelligence, Social Sciences.
Vol. 7, No. 5,
2018, pp. 216-222.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Sports information theory and practice research group. Theory and practice of sports information work [M]. Beijing: People’s Physical Culture Publishing House, 1988: 4.
Ma, T. Academic and work trends of the eighth international sports information conference [J]. Sports Science, 1986, 6 (2): 76-78.
Liu, C. Study on the sports competitive intelligence and its influence athletics sports core competence [D]. Shanghai: Shanghai University of Sports, 2010.
Fearing Boff. Several theoretical problems of information assurance in sports field [J]. Journal of Wuhan Sports University, 1988, 4(3): 5-7.
Nye Bono. Problems and prospects of sports informatization [J]. Sports Science and Technology Information, 1995, 15(2): 1-2.
Hughes, M. D. &Evans, S. Establishing normative profiles in performance analysis [J]. International Journal of Performance Analysis in Sport, 2001, 1(1): 1-26.
Bergeron, P. &Hiller C. A. Competitive intelligence [J]. Annual Review of Information Science and Technology, 2002, 36(1): 353-390.
Morran, C. HBO Seeks Streaming Video Help From Major League Baseball [J/OL]. [2014-12-09].http://consumerist.com/2014/12/09/hbo-seeks-streaming-video-help-from-majorleague-baseball.
Oliver, D. Basketball on paper [M]. USA: Potomac Books Press, 2004: 29-31.
Hollinger, J. Pro basketball forecast/prospectus [M]. USA: Potomac Books Press, 2005: 26-28.
Lewis, M. Moneyball: The art of winning an unfair game [M]. New York: W. W. Norton & Company, 2013: 45-46.
Tami, M. Real-time objects tracking and motion capture in sports events [P]. US Patent App: 11/909, 080, 20065.
Reilly, T. Assessment of sports performance with particular reference to field games [J]. European Journal of Sport Science, 2001, (1): 12.
Liao, Q. Data intelligence analysis behind “Crazy Lin” [J]. Competitive Intelligence, 2012, (1): 1.