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


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


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


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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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.

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.

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.

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.

Barling J. , Beattie R. (1983) Self-efficacy beliefs and sales performance. Journal of Organizational Behavior Management, 5, 41–51.

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

Betz, N. E., & Hackett, G. (1987). Concept of agency in educational and career development. Journal of counseling Psychology, 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.

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

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, Educational Publishing Foundation.

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

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.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.

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.

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.

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.

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.

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.

Hartzel, K. (2003). How self-efficacy and gender issues affect software adoption and use. Communications of the ACM, 46(9), 167–171.

Hawk, S. R. (1989). Locus of control and computer attitude: The effect of user involvement. Computers in Human Behavior, 5(3), 199–206.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Premkumar, G., Ramamurthy, K., & Crum, M. (1997). Determinants of EDI adoption in the transportation industry. European Journal of Information Systems, 6(2), 107-121.

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.

Ringuet-Riot, C., Carter, S., & James, D. A. (2014). Programmed Innovation in Team Sport Using Needs Driven Innovation. Procedia Engineering, 72, 817–822.

Rogers, E. M. (2003). Diffusion of Innovations, 5th Edition. Free Press. Retrieved from

Rogers, E. M. (1995). Diffusion of innovations. Macmillian Publishing Co.

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.

Schunk, D. H. (1981). Modeling and attributional effects on children's achievement: A self-efficacy analysis. Journal of educational psychology, 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.

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.

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

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.


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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