Attitudes and behaviours of Canadian National Team coaches regarding the use of technology in their coaching practice

Authors

  • Ramandeep Jaswal University of Calgary, Canada
  • Pro Stergiou Canadian Sport Institute, Canada
  • Larry Katz University of Calgary, Canada

Keywords:

Technology, Coaching, Adoption, Implementation, High-Performance sport

Abstract

Previous literature has proposed that successful adoption measures involve positive attitudes regarding using technology, high levels of technological self-efficacy beliefs, low levels of perceived complexity, and high levels of perceived relative advantage. The purpose of this study is to investigate these antecedents of technology adoption among national team Canadian coaches. Twenty-five current and retired Summer and Winter Canadian national team coaches participated in this investigation. They completed four questionnaires: a general information form, the Affinity for Technology Interaction Scale (ATI), the Computer Self-Efficacy Measure (CSEM), and the Perceived Relative Advantage and Perceived Complexity Scales (PRA/PCo). Canadian national team coaches who responded were found to have a moderate affinity for technology when engaging with technology in their coaching practice. They also reported to have very high self-efficacy when it comes to using technology. They were shown to have a moderately high conviction in their ability to use technology. Coaches also viewed technology as giving them a high relative advantage over not using technology. Finally, they generally viewed technology as not very complex to operate. Most Canadian national team coaches who responded showed favourable views regarding using technology, had belief in their ability, and seemed capable of overcoming challenges in using technology. Future investigations should also identify elite coaches who do not use innovations and focus on sport specific challenges in adopting or implementing technology, as well as identifying barriers coaches face when acquiring or using new technology.

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References

Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision sciences, 28(3), 557-582. https://doi.org/10.1111/j.1540-5915.1997.tb01322.x

Ahmadi, A., Rowlands, D., & James, D. A. (2009). Towards a wearable device for skill assessment and skill acquisition of a tennis player during the first serve. Sports Technology, 2(3–4), 129–136. https://doi.org/10.1080/19346182.2009.9648510

Attig, C., Wessel, D., & Franke, T. (2017). Assessing Personality Differences in Human-Technology Interaction: An Overview of Key Self-report Scales to Predict Successful Interaction BT - HCI International 2017 – Posters’ Extended Abstracts. In C. Stephanidis (Ed.) (pp. 19–29). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-58750-9_3

Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of social and clinical psychology, 4(3), 359-373.

Bandura, A., Adams, N. E., & Beyer, J. (1977). Cognitive processes mediating behavioral change. Journal of personality and social psychology, 35(3), 125. https://doi.org/10.1037//0022-3514.35.3.125

Barling J. , Beattie R. (1983) Self-efficacy beliefs and sales performance. Journal of Organizational Behavior Management, 5, 41–51. https://doi.org/10.1300/j075v05n01_05

Beaudry, A., & Pinsonneault, A. (2005). Understanding user responses to information technology: A coping model of user adaptation. MIS Quarterly, 29(3). https://doi.org/10.2307/25148693

Betz, N. E., & Hackett, G. (1987). Concept of agency in educational and career development. Journal of counseling Psychology, 34(3), 299. https://doi.org/10.1037/0022-0167.34.3.299

Brown I. , Inouye D. K. (1978) Learned helplessness through modeling: The role of perceived similarity in competence. Journal of Personality and Social Psychology. 36, 900–908. https://doi.org/10.1037//0022-3514.36.8.900

Burkett, B. (2010). Technology in Paralympic sport: performance enhancement or essential for performance? British Journal of Sports Medicine, 44(3), 215 LP – 220. https://doi.org/10.1136/bjsm.2009.067249

Chen, S., Westman, M., & Eden, D. (2009). Impact of enhanced resources on anticipatory stress and adjustment to new information technology: A field-experimental test of conservation of resources theory. Journal of Occupational Health Psychology. Chen, Shoshi: Faculty of Management, Tel Aviv University, Tel Aviv, Israel, 69978, shos@post.tau.ac.il: Educational Publishing Foundation. https://doi.org/10.1037/a0015282

Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688

Collins J. (1982) Self-efficacy and ability in achievement behavior. Paper presented at the annual meeting of the American Educational Research Association, New York.

Czaja, S. J., & Sharit, J. (1993). Age differences in the performance of computer-based work. Psychology and Aging. US: American Psychological Association. https://doi.org/10.1037/0882-7974.8.1.59

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Duggal, M. (n.d.). Hawk Eye Technology.

Ellapen, T. J., & Paul, Y. (2016). Innovative Sport Technology Through Cross-Disciplinary Research: Future of Sport Science. South African Journal for Research in Sport, Physical Education and Recreation, 38(383), 219–228.

Ellen, P. S., Bearden, W. O., & Sharma, S. (1991). Resistance to technological innovations: An examination of the role of self-efficacy and performance satisfaction. Journal of the Academy of Marketing Science, 19(4), 297–307. https://doi.org/10.1007/BF02726504

Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: A multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55(2), 163–176. https://doi.org/10.1016/s0148-2963(00)00152-1

Franke, T., Attig, C., & Wessel, D. (2018). A Personal Resource for Technology Interaction: Development and Validation of the Affinity for Technology Interaction (ATI) Scale. International Journal of Human–Computer Interaction, 1–12. https://doi.org/10.1080/10447318.2018.1456150

Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: systematic review and recommendations. The Milbank Quarterly, 82(4), 581–629. https://doi.org/10.1111/j.0887-378x.2004.00325.x

Guskiewicz, K. M. (2008). Sports Medicine and Athletic Training in the 21st Century: Bridging the Gap Between Research and Clinical Practice. Quest, 60(1), 121–130. https://doi.org/10.1080/00336297.2008.10483572

Hartzel, K. (2003). How self-efficacy and gender issues affect software adoption and use. Communications of the ACM, 46(9), 167–171. https://doi.org/10.1145/903893.903933

Hawk, S. R. (1989). Locus of control and computer attitude: The effect of user involvement. Computers in Human Behavior, 5(3), 199–206. https://doi.org/10.1016/0747-5632(89)90014-9

Hill, T., Smith, N. D., & Mann, M. F. (1986). Communicating innovations: Convincing computer phobics to adopt innovative technologies. ACR North American Advances.

Holt, Nicholas L., Pankow, Kurtis., Camire, Martin., Cote, Jean., Frasier-Thomas, Jessica., Macdonald, Dany., Strachan, Leisha., Tamminen, K. (2017). Holt 2017 J Sports Sci[1].pdf. Journal of Sport Sciences. https://doi.org/10.1080/02640414.2017.1357830

Katz, L., Parker, J., Tyreman, H. & Levy, R. (2008). Virtual reality in Sport. In A. Baca & Dabnichi, P. (eds.), Computers in sport, 3-41. Southampton: WIT. https://doi.org/10.2495/978-1-84564-064-4/01

Katz , L. , Vincent, J., Stergiou, P. And Sheehan, D. (2009) Coaching and innovation: Factors in adoption of new technologies. Petro Canada Sport Leadership Conference, November 2-4, Vancouver B.C.

Kortum, P., & Oswald, F. L. (2018). The impact of personality on the subjective assessment of usability. International Journal of Human–Computer Interaction, 34(2), 177-186. https://doi.org/10.1080/10447318.2017.1336317

Leslie, L. L., Mcclure, G. T., & Oaxaca, R. L. (1998). Women and minorities in science and engineering: A life sequence analysis. The Journal of Higher Education, 69(3), 239–276. https://doi.org/10.1080/00221546.1998.11775134

Liebermann, D. G., Katz, L., Hughes, M. D., Bartlett, R. M., Mcclements, J., & Franks, I. M. (2002). Advances in the application of information technology to sport performance. Journal of Sports Sciences, 20(10), 755–769. https://doi.org/10.1080/026404102320675611

Locke E. A. , Latham G. P. (1984) Goal setting: A motivational technique that works. Englewood Cliffs, NJ: Prentice-Hall.

Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126–163. https://doi.org/10.1287/isre.9.2.126

Mckinney Jr, E. H., & Yoos, C. J. (2019). Information as a difference: toward a subjective theory of information. European Journal of Information Systems, 1-15. https://doi.org/10.1080/0960085x.2019.1581441

Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192

Omoregie, P. O. (N.D.). The Impact of Technology on Sport Performance.

Parthasarathy, A., Wong, N. H., Weiss, A. N., Tian, S., Ali, S. E., Cavanaugh, N. T., ... & Johnson, L. K. (2019). SELfies and CELLfies: Whole Genome Sequencing and Annotation of Five Antibiotic Resistant Bacteria Isolated from the Surfaces of Smartphones, An Inquiry Based Laboratory Exercise in a Genomics Undergraduate Course at the Rochester Institute of Technology. Journal of genomics, 7, 26. https://doi.org/10.7150/jgen.31911

Premkumar, G., Ramamurthy, K., & Crum, M. (1997). Determinants of EDI adoption in the transportation industry. European Journal of Information Systems, 6(2), 107-121. https://doi.org/10.1057/palgrave.ejis.3000260

Rahman, A., Akhtar, P., Hamdani, S. U., Atif, N., Nazir, H., Uddin, I., ... & Zafar, S. (2019). Using technology to scale-up training and supervision of community health workers in the psychosocial management of perinatal depression: a non-inferiority, randomized controlled trial. Global Mental Health, 6. https://doi.org/10.1017/gmh.2019.7

Ringuet-Riot, C., Carter, S., & James, D. A. (2014). Programmed Innovation in Team Sport Using Needs Driven Innovation. Procedia Engineering, 72, 817–822. https://doi.org/10.1016/j.proeng.2014.06.139

Rogers, E. M. (2003). Diffusion of Innovations, 5th Edition. Free Press. Retrieved from https://books.google.ca/books?id=9U1K5LjUOwEC

Rogers, E. M. (1995). Diffusion of innovations. Macmillian Publishing Co. https://doi.org/citeulike-article-id:126680

Saxena, A., & Granot, A. (2011). Use of an Anti-gravity Treadmill in the Rehabilitation of the Operated Achilles Tendon: A Pilot Study. The Journal of Foot and Ankle Surgery, 50(5), 558–561. https://doi.org/10.1053/j.jfas.2011.04.045

Schunk, D. H. (1981). Modeling and attributional effects on children's achievement: A self-efficacy analysis. Journal of educational psychology, 73(1), 93. https://doi.org/10.1037//0022-0663.73.1.93

Stephanidis, C. (2019). New Perspectives into Human–Computer Interaction. User Interfaces for All-Concepts, Methods and Tools, 3-20.

Stumpf, S. A., Brief, A. P., & Hartman, K. (1987). Self-efficacy expectations and coping with career-related events. Journal of Vocational Behavior, 31(1), 91-108. https://doi.org/10.1016/0001-8791(87)90037-6

Tanner, R., & Gore, C. (2012). Physiological tests for elite athletes 2nd edition. Human Kinetics.

Tyre, M. J., & Orlikowski, W. J. (1996). The episodic process of learning by using. International Journal of Technology Management, 11(7–8), 790–798.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Webster, J., & Martocchio, J. J. (1992). Microcomputer playfulness: Development of a measure with workplace implications. MIS Quarterly, 201–226. https://doi.org/10.2307/249576

Wood, R., & Bandura, A. (1989). Social Cognitive Theory of Organizational Management. Academy of Management Review, 14(3), 361-384.

Zheng, Y., Wang, J., Doll, W., Deng, X., & Williams, M. (2018). The impact of organisational support, technical support, and self-efficacy on faculty perceived benefits of using learning management system. Behaviour & Information Technology, 37(4), 311-319. https://doi.org/10.1080/0144929x.2018.1436590

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Published

2019-12-23

How to Cite

Jaswal, R., Stergiou, P., & Katz, L. (2019). Attitudes and behaviours of Canadian National Team coaches regarding the use of technology in their coaching practice. Journal of Human Sport and Exercise, 14(5proc), S2445-S2454. Retrieved from https://www.jhse.ua.es/article/view/2019-v14-n5-proc-attitudes-behaviours-canadian-national-team-coa