Abstract
This paper aims to analyze how new technologies are applied in the sport field with specific focus on soccer sport and the related training process. Recently, different areas in the sport sector have been deeply changed thanks to technology, mainly information technology (IT) and internet, with relevant social and economic effects. Starting from the different sub-organizational areas identified in the literature (sport management, sport medicine, athletes’ performance improvement, disability and social integration, sporting event management process), this paper focuses on the soccer sport, evidencing the main effects derived from the technology in terms of the cohabitation of human side and technical part in this specific team sport. This phenomenon is still under searched, so this theoretical study, conducted through a deep review of the literature, aims to propose a more clear picture of the social, economic and technical implications of technology in the soccer area, also identifying new research perspectives.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Spagnoletti, P., Za, S., North-Samardzic, A.: Fostering informal learning at the workplace through digital platforms and information infrastructures. In: Proceedings of 24th Australasian Conference on Information Systems, ACIS2013, Melbourne, pp. 1–11 (2013)
Za, S., Spagnoletti, P., North-Samardzic, A.: Organisational learning as an emerging process: The generative role of digital tools in informal learning practices. Br. J. Educ. Technol. 45(6), 1023–1035 (2014)
Overby, E.: Process virtualization theory and the impact of information technology. Academy of Management Best Conference Paper 2005 OCIS:G1 (2005)
Ricciardi, F., De Marco, M.: The challenge of service oriented performances for chief information officers. In: Snene, M. (ed.) IESS 2012. LNBIP, vol. 103, pp. 258–270. Springer, Heidelberg (2012)
Imperatori, B., De Marco, M.: E-work and labor processes transformation. In: Bondarouk, T., Ruel, H., Guiderdoni-Jourdain, K., Oiry, E. (eds.) Handbook of Research on E-Transformation and Human Resources Management Technologies: Organizational Outcomes and Challenges, pp. 34–54. Information Science Reference, Hershey (2009)
Dobbs, K.: Too much Learning.com. Training 37(2), 10–12 (2000)
Mullin, B.J., Hardy, S., Sutton, W.A.: Sport Marketing. Human Kinetics, Champaign (1993)
Chu, D.: Dimensions of Sports Studies. Wiley, New York (1982)
Zeigler, E.F.: Ethics and Morality in Sports and Physical Education– An Experimental Approach. Stripe, Chicago (1984)
Goldstein, J.H.: Sports, Games, and Play: Social and Psychological Viewpoints. Hillsdale Lawrence Erlbaum, NJ (1989)
Brooks, C.M.: Sports Marketing: Competitive Business Strategies for Sports. Prentice Hall, Englewood Cliffs (1994)
Palm, J.: Sport for all: Approaches from Utopia to Reality. Hofmann, Schorndorf (1991)
Read, L., Bingham, J.: Preface UK sport. In: Levermore, R., Beacom, A. (eds.) Sport and International Development London, pp. 26–54. Palgrave Macmillan, London (2009)
Loland, S.: Technology in sport: three ideal-typical views and their implications. Eur. J. Sport Sci. 2(1), 1–11 (2002)
Liebermann, D.G., Katz, L., Hughes, M.D., Bartlett, R.M., McClements, J., Franks, I.M.: Advances in the application of information technology to sport performance. J. Sports Sci. 20(10), 755–769 (2002)
Varriale, L., Tafuri, D.: Technological trends in the sport field: which application areas and challenges? In: Nóvoa, H., Drăgoicea, M. (eds.) IESS 2015. LNBIP, vol. 201, pp. 204–214. Springer, Heidelberg (2015)
Rintala, J.: Sport and technology: human questions in a world of machines. J. Sport Soc. Issues 19(1), 62–75 (1995)
Gelberg, J.N.: Technology and sport: the case of the ITF, spaghetti strings, and composite rackets. In: Proceedings and Newsletter-North American Society for Sport History, pp. 77-87 (1996)
Marcus, B.H., Owen, N., Forsyth, L., Cavill, N.A., Fridinger, F.: Physical activity interventions using mass media, print media, and information technology. Am. J. Prev. Med. 15, 362–378 (1998)
Wilson, B.: Believe the hype? the impact of the internet on sport-related subcultures. Tribal Play Subcultural J. Sport 4, 135–152 (2008)
Gallardo-Guerrero, L., García-Tascón, M., Burillo-Naranjo, P.: New sports management software: a needs analysis by a panel of Spanish experts. Int. J. Inf. Manage. 28(4), 235–245 (2008)
Coutts, A.J., Duffield, R.: Validity and reliability of GPS devices for measuring movement demands of team sports. J. Sci. Med. Sport 13(1), 133–135 (2010)
Gundlapalli, A.V.: Hospital electronic medical record–based public health surveil-lance system deployed during the 2002 Winter Olympic Games. Am. J. Infect. Control 35(3), 163–171 (2007)
Uszkoreit, H., Xu, F., Aslan, I., Steffen, J.: COMPASS 2008: an intelligent multilin-gual and multimodal mobile information service system for beijing olympic games. In: Proceedings of KI2006 Demo Collection, Germany (2006)
Toohey, K.: The Sydney olympics: striving for legacies-overcoming short-term disappointments and long-term deficiencies. Int. J. Hist. Sport 25(14), 1953–1971 (2008)
Bovy, P.: Olympic Games Transport Transfer of Knowledge. HITE/Ol.transp/Bovy-version XYZ. 1 22.4.2008, HITE-ATHENS, IOC Transport Advisor (2008)
Halbwirth, S., Toohey, K.: The olympic games and knowledge management: a case study of the sydney organising committee of the olympic games. Eur. Sport Manag. Q. 1(2), 91–111 (2001)
Beis, D.A., Loucopoulos, P., Pyrgiotis, Y., Zografos, K.G.: PLATO helps athens win gold olympic games knowledge modeling for organizational change and resource management. Informs 36(1), 26–42 (2006)
Lane, A.: Relationships between perceptions of performance expectations and mood among distance runners: the moderating effect of depressed mood. J. Sci. Med. Sport 4(1), 116–128 (2001)
Burkett, B.: Technology in Paralympic sport: performance enhancement or essential for performance? Br. J. Sports Med. 44(3), 215–220 (2010)
Burkett, B.: Paralympic sports medicine—current evidence in winter sport: considerations in the development of equipment standards for Paralympics athletes. Clin. J. Sport Med. 22(1), 46–50 (2012)
Burkett, B., McNamee, M., Potthast, W.: Shifting boundaries in sports technology and disability: equal rights or unfair advantage in the case of Oscar Pistorius? Disabil. Soc. 26(5), 643–654 (2011)
Cronin, J., Sleivert, G.: Challenges in understanding the influence of maximal power training on improving athletic performance. Sports Med. 35(3), 213–234 (2004). (Auckland, NZ)
Haake, S.J.: The impact of technology on sporting performance in Olympic sports. J. Sports Sci. 27(13), 1421–1431 (2009)
Dwyer, D.B., Gabbett, T.J.: Global positioning system data analysis: velocity ranges and a new definition of sprinting for field sport athletes. J. Strength Conditioning Res. 26(3), 818–824 (2012)
Bettoli, B.: Data processing: working procedures made easier: sport information technology and team work. Magglingen 54(11), 18–19 (1997)
Ross, C.M.: Computer technology and its impact on recreation and sport programs. In: Annual Conference of the Midwest AAHPERD, Fort Wayne (1998)
Szymanski, S.: Convergence and soccer: testing for convergence. Harvard Int. Rev. 36(1), 41–55 (2014)
Los Arcos, A., Yanci, J., Mendiguchia, J., Salinero, J.J., Brughelli, M., Castagna, C.: Short-term training effects of vertically and horizontally oriented exercises on neuromuscular performance in professional soccer players. Int. J. Sports Physiol. Perform 9(3), 480–488 (2014)
Duch, J., Waitzman, J.S., Amaral, L.A.N.: Quantifying the performance of individual players in a team activity. PloSone 5(6), e10937 (2010)
Narizuka, T., Yamamoto, K., Yamazaki, Y.: Statistical properties of position-dependent ball-passing networks in football games (2013). arXiv:1311.0641
Gyarmati, L., Kwak, H., Rodriguez, P.: Searching for a unique style in soccer. In: Proceedings KDD Workshop on Large-Scale Sports Analytics (2014)
Lucey, P., Oliver, D., Carr, P., Roth, J., Matthews, I.: Assessing team strategy using spatiotemporal data. In: Proceedings 19th ACM SIGKDD, pp. 1366–1374. ACM (2013)
Gudmundsson, J., Wolle, T.: Football analysis using spatio-temporal tools. In: International Conference on Advances in Geographic Information Systems. ACM (2012)
Mutschler, C.: Online data–mining of interactive trajectories in real time location systems. Friedrich-Alexander-University of Erlangen-Nuremberg (2010)
Gyarmati, L., Anguera, X.: Automatic Extraction of the Passing Strategies of Soccer Teams. arXiv preprint (2015) arXiv:1508.02171
Mallo, J., Mena, E., Nevado, F., Paredes, V.: Physical demands of top-class soccer friendly matches in relation to a playing position using global positioning system technology. J. Hum. Kinet. 47(1), 179–188 (2015)
Carling, C., Bloomfield, J., Nelsen, L., Reilly, T.: The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 38, 839–862 (2008)
Witte, T.H., Wilson, A.M.: Accuracy of non-differential GPS for the determination of speed over ground. J. Biomech. 37, 1891–1898 (2004)
MacLeod, H., Morris, J., Nevill, A., Sunderland, C.: The validity of a non-differential global positioning system for assessing player movement patterns in field hockey. J. Sports Sci. 27, 121–128 (2009)
Randers, M.B., Rostgaard, T., Krustrup, P.: Physical match performance and yo-yo IR2 test results of successful and unsuccessful football teams in the Danish premier league. J. Sports Sci. Med. 6(10), 16, 345–352 (2007)
Harley, J.A., Lovell, R.J., Barnes, C.A., Portus, M.D., Weston, M.: The interchangeability of global positioning system and semiautomated video-based performance data during soccer match play. J. Strength Cond. Res. 25, 2334–2336 (2011)
Quatton, A., Wang, S., Morency, L.P.: Hidden conditional random fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(10), 1848–1852 (2007)
Yedidia, J.S., Freeman, W.T., Weiss, Y.: Generalized belief propagation. In: Advances in Neural Information Processing Systems, pp. 689–695 (2001)
Wang, Y., Cao, Y., Wang, M., Liu, G.: Multi-mode semantic cues based on hidden conditional random field in soccer video. Int. J. Multimedia Ubiquitous Eng. 10(10), 47–56 (2015)
Liwei, M.D., Chan, M.J.: Soccer video highlights the fusion of HCRF and AAM detection. J. Comput. Res. Dev. 1, 225–236 (2014)
Xiping, D., Jiafeng, L., Jianhua, W., Dragon, T.: A semantic level collaborative text image recognition method. J. Harbin Inst. Technol. 3, 49–53 (2014)
Minghao, Y., Jianhua, T., Hao, L.: Nest forest at multi-channel man-machine dialogue system for natural interaction. Comput. Sci. 10, 18–35 (2014)
Lian, W.: And realize multimode teaching video semantic analysis. Nanjing University of Science and Technology (2014)
Tian, T.: Study on construction of spatial knowledge obviously multi modal based on information fusion. Huazhong Normal University (2014)
Yucheng, H., Junqing, Y., Xianqiang, H., Yunfeng, H.: Tao: user preference mining pipe in the engine of the soccer video search. China J. Image Graph. 4, 622–629 (2014)
Junqing, Y., Qiang, Z., Zengkai, W., Yunfeng, H.: Using the playback scene and emotion encouragement detection in soccer video highlights. Chin. J. Comput. 6, 1268–1280 (2014)
Yanjiao, Z.: Regional map of target detection of video abstract Gauss. Hebei Normal University (2014)
Yafei, L.: Study on detection of pedestrian tracking and abnormal motion video surveillance. China Jiliang University (2014)
Chenhan, S.: Methods and annotation of video structure extraction. Comput. Knowl. Technol. 26, 6178–6180 (2014)
Arbat, S., Sinha, S.K., Shikha, B.K.: Event-detection-in-broadcast-soccer-video-by-detecting-replays. Int. J. Sci. Technol. Res. 3(5), 282–285 (2014)
Bojanova, I.: IT enhances football at world cup 2014. IT Prof. 4, 12–17 (2014)
Gondo, S., Tarukawa, K., Inoue, T., Okada, K.I.: Soccer tactics analysis supporting system displaying the player’s actions in virtual space. In: Proceedings of the 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) pp. 581–586. IEEE (2014)
Bayat, F., Moin, M.S., Bayat, F.: Goal detection in soccer video: role-based events detection approach. Int. J. Electr. Comput. Eng. (IJECE) 4(6), 979–988 (2014)
Rodrigues, J., Cardoso, P.J., Vilas, T., Silva, B., Rodrigues, P., Belguinha, A., Gomes, C.: A computer vision based web application for tracking soccer players. In: Stephanidis, C., Antona, M. (eds.) UAHCI 2014, Part I. LNCS, vol. 8513, pp. 450–462. Springer, Heidelberg (2014)
Salimi, F.: Conceptualizing ERP application for soccer industry. Asian J. Bus. Manage. 2(4), 358–366 (2014)
Wright, T.: Pakistan Defends Its Soccer Industry, Wall Street Journal, 26 April 2010
Atkin, D., Chaudhry, A., Chaudry, S., Khandelwal, A.K., Verhoogen, E.A.: Organizational barriers to technology adoption: evidence from soccer-ball producers in Pakistan. IZA Discussion Papers, No. 9222, pp. 1–87 (2015)
Di Salvo, V., Modonutti, M.: Integration of different technology systems for the development of football training. J. Sports Sci. Med. 11(3), 205–212 (2009)
Van Gool, D., Van Gerven, D., Boutmans, J.: The physiological load imposed on soccer players during real match-play. In: Reilly, T., Lees, A., Davis, K., Murphy, W.J. (eds.) Science and football, vol. I, pp. 51–59. E. & F.N. Spon, London (1988)
Carling, C., Bloomfield, J., Nelsen, L., et al.: The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 38(10), 839–862 (2008)
Castellano, J., Alvarez-Pastor, D., Bradley, P.S.: Evaluation of research using computerised tracking systems (Amisco® and Prozone®) to analyse physical performance in Elite soccer: a systematic review. Sports Med. 44(5), 701–712 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Varriale, L., Tafuri, D. (2016). Technology for Soccer Sport: The Human Side in the Technical Part. In: Borangiu, T., Dragoicea, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2016. Lecture Notes in Business Information Processing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-32689-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-32689-4_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32688-7
Online ISBN: 978-3-319-32689-4
eBook Packages: Computer ScienceComputer Science (R0)