Sports Participants' Intentions to Use Digital Technology for Sports Participation: A Behavioral Reasoning Theory Perspective
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The use of digital technology in sport is an inevitable trend, but the behavioral decision-making process of sport participants using digital technology for sport participation is unclear. This study used behavioral reasoning theory to develop and validate a theoretical model that analyses participants’ behavioral cognitive decision-making by considering both reasons for adoption and against adoption and in doing so, explains sport participants’ behavioral decision-making in using digital technology for sport participation, which is a theoretical extension of existing innovation frameworks in sport management and marketing. The study found that respondents’ reasons against adoption the use of digital technology for sport participation had a greater influence on their attitudes and behavioral intentions, with perceived hedonism and barriers to use being the dominant factors in the reason for adoption and against adoption, respectively, and participants’ values significantly influencing the reasons for adoption and against adoption the use of digital technology for sport participation. This study provides unique insights for developers and related marketing promoters of digital technology applications in sport, and in expanding the impacts associated with the use of digital technology in sport, it is necessary to clarify the reasons for adoption and against adoption, and to consider the values of the participants, so that the combination of digital technology and sport can better meet the actual needs of the participants.
Abstract
The use of digital technology in sport is an inevitable trend, but the behavioral decision-making process of sport participants using digital technology for sport participation is unclear. This study used behavioral reasoning theory to develop and validate a theoretical model that analyses participants’ behavioral cognitive decision-making by considering both reasons for adoption and against adoption and in doing so, explains sport participants’ behavioral decision-making in using digital technology for sport participation, which is a theoretical extension of existing innovation frameworks in sport management and marketing. The study found that respondents’ reasons against adoption the use of digital technology for sport participation had a greater influence on their attitudes and behavioral intentions, with perceived hedonism and barriers to use being the dominant factors in the reason for adoption and against adoption, respectively, and participants’ values significantly influencing the reasons for adoption and against adoption the use of digital technology for sport participation. This study provides unique insights for developers and related marketing promoters of digital technology applications in sport, and in expanding the impacts associated with the use of digital technology in sport, it is necessary to clarify the reasons for adoption and against adoption, and to consider the values of the participants, so that the combination of digital technology and sport can better meet the actual needs of the participants.
참고문헌 (92)
- Ajzen, I., "The theory of planned behavior", Organizational Behavior and Human Decision Processes, 50(2), pp.179~211 (1991)[DOI]
- Ajzen, I., "Nature and hew operation of attitudes", Annual Review of Psychology, 52(1), pp.27~58 (2001)[DOI]
- Akdim, K., "The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps", Journal of Retailing and Consumer Services, 66, pp.102888~ (2022)[DOI]
- Alharbi, S., "Using the technology acceptance model in understanding academics’behavioural intention to use learning management systems", International Journal of Advanced Computer Science and Application, 5(1) (2014)[DOI]
- Amin, K., "Factors affecting private university students’ intention to adopt e-learning system in Bangladesh", Daffodil International University Journal of Business and Economics, 10, pp.10~25 (2017)
- Anayat, S., "Examining the context-specific reasons and adoption of artificial intelligence-based voice assistants : A behavioural reasoning theory approach", International Journal of Consumer Studies, 47(5), pp.1885~1910 (2023)[DOI]
- Ashfaq, M., "You plant a virtual tree, we’ll plant a real tree : Understanding users’ adoption of the Ant Forest mobile gaming application from a behavioral reasoning theory perspective", Journal of Cleaner Production, 310, pp.127394~ (2021)[DOI]
- Bagozzi, R. P., "The self-regulation of attitudes, intentions, and behavior", Social Psychology Quarterly, 55(2), pp.178~ (1992)[DOI]
- Bagozzi, R. P., "On the evaluation of structural equation models", Journal of the Academy of Marketing Science, 16(1), pp.74~94 (1988)[DOI]
- Box-Steffensmeier, J. M., "The future of human behaviour research", Nature Human Behaviour, 6(1), pp.15~24 (2022)[DOI]
- Bruner, G. C., "Explaining consumer acceptance of handheld Internet devices", Journal of Business Research, 58(5), pp.553~558 (2005)[DOI]
- Campbell, T., "Game design principles in everyday fitness applications", Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, pp.249~252 (2008)
- Canhoto, A. I., "Exploring the factors that support adoption and sustained use of health and fitness wearables", Journal of Marketing Management, 33(1-2), pp.32~60 (2017)[DOI]
- Casidy, R., "Investigating the role of religiosity as a deterrent against digital piracy", Marketing Intelligence & Planning, 35(1), pp.62~80 (2017)[DOI]
- Chen, P. -T., "Innovation resistance and strategic implications of enterprise social media websites in Taiwan through knowledge sharing perspective", Technological Forecasting and Social Change, 118, pp.55~69 (2017)[DOI]
- Claudy, M. C., "Consumer resistance to innovation—A behavioral reasoning perspective", Journal of the Academy of Marketing Science, 43(4), pp.528~544 (2015)[DOI]
- Claudy, M. C., "Understanding the attitude-behavior gap for renewable energy systems using behavioral reasoning theory", Journal of Macromarketing, 33(4), pp.273~287 (2013)[DOI]
- Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3), pp.319~340 (1989)[DOI]
- Dhir, A., "Behavioral Reasoning Theory(BRT)perspectives on e-waste recycling and management", Journal of Cleaner Production, 280, pp.124269~ (2021)[DOI]
- Dilmperi, A., "Toward a framework for identifying attitudes and intentions to music acquisition from legal and illegal channels : Attitudes and Intentions to Acquire Music", Psychology & Marketing, 34(4), pp.428~447 (2017)[DOI]
- Eagly, A. H., "The psychology of attitudes" (1993), Harcourt Brace Jovanovich College Publishers
- Fishbein, M., "Belief, attitude, intention, and behavior: An introduction to theory and research" (1975), Addison-Wesley Pub
- Fornell, C., "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, 18(1), pp.39~50 (1981)[DOI]
- Goebert, C., "A new reality : Fan perceptions of augmented reality readiness in sport marketing", Computers in Human Behavior, 106, pp.106231~ (2020)[DOI]
- Gupta, A., "Consumer adoption of m-banking : A behavioral reasoning theory perspective", International Journal of Bank Marketing, 35(4), pp.733~747 (2017)[DOI]
- Gupta, A., "Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory", Journal of Retailing and Consumer Services, 36, pp.1~7 (2017)[DOI]
- Ha, J. -P., "A conceptual framework for the adoption of smartphones in a sports context", International Journal of Sports Marketing and Sponsorship, 16(3), pp.2~19 (2015)[DOI]
- Hair, J., "AMOS Covariance-Based Structural Equation Modeling(CB-SEM) : Guidelines on its application as a marketing research tool", Revista Brasileira de Marketing, 13, pp.44~55 (2014)[DOI]
- Hallmann, K., "eSports – Competitive sports or recreational activity", Sport Management Review, 21(1), pp.14~20 (2018)[DOI]
- Hew, J. -J., "Why do mobile consumers resist mobile commerce applications? A hybrid fsQCA-ANN analysis", Journal of Retailing and Consumer Services, 75, pp.103526~ (2023)[DOI]
- Hew, J. -J., "Mobile social tourism shopping : A dual-stage analysis of a multi-mediation model", Tourism Management, 66, pp.121~139 (2018)[DOI]
- Higgins, J. P., "Smartphone applications for patients’ health and fitness", The American Journal of Medicine, 129(1), pp.11~19 (2016)[DOI]
- Honkanen, P., "Ethical values and motives driving organic food choice", Journal of Consumer Behaviour, 5(5), pp.420~430 (2006)[DOI]
- Hu, L., "Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives", Structural Equation Modeling : A Multidisciplinary Journal, 6(1), pp.1~55 (1999)[DOI]
- Huang, G., "Linking technological functions of fitness mobile apps with continuance usage among Chinese users : Moderating role of exercise self-efficacy", Computers in Human Behavior, 103, pp.151~160 (2020)[DOI]
- Jan, I. U., "What(de)motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective", Journal of Retailing and Consumer Services, 75, pp.103440~ (2023)[DOI]
- Jin, C., "Technology growth in the digital age : Evidence from China", Technological Forecasting and Social Change, 187, pp.122221~ (2023)[DOI]
- Jin, C. -H., "Adoption of e-book among college students : The perspective of an integrated TAM", Computers in Human Behavior, 41, pp.471~477 (2014)[DOI]
- Kamakura, W. A., "Value segmentation : A model for the measurement of values and value systems", Journal of Consumer Research, 18(2), pp.208~218 (1991)[DOI]
- Kasilingam, D. L., "Understanding the attitude and intention to use smartphone chatbots for shopping", Technology in Society, 62, pp.101280~ (2020)[DOI]
- Keiper, M. C., "Artificial intelligence in sport management education: Playing the AI game with ChatGPT", Journal of Hospitality, Leisure, Sport & Tourism Education, 33, pp.100456~ (2023)[DOI]
- Kim, Y., "The effects of consumer innovativeness on sport team applications acceptance and usage", Journal of Sport Management, 31(3), pp.241~255 (2017)[DOI]
- Kleijnen, M., "Celik", Journal of Economic Psychology, 30(3), pp.344~357 (2009)[DOI]
- Ko, Y. J., "Do spectators and competitors accept the use of scoring technology in Taekwondo competitions?", International Journal of Sport Management and Marketing, 9(3, pp.4) (2011), 238~
- Kottasz, R., "Driverless futures: Current non-drivers’willingness to travel in driverless vehicles", Journal of Marketing Management, 37(15-16), pp.1656~1689 (2021)[DOI]
- Kruse, S. D., "Developing cultural competency in higher education : An agenda for practice", Teaching in Higher Education, 23(6), pp.733~750 (2018)[DOI]
- Kumar, S., "Applying the theory of reasoned action to examine consumers’ attitude and willingness to purchase organic foods", International Journal of Consumer Studies, 47(1), pp.118~135 (2023)[DOI]
- Laukkanen, T., "Consumer adoption versus rejection decisions in seemingly similar service innovations : The case of the Internet and mobile banking", Journal of Business Research, 69(7), pp.2432~2439 (2016)[DOI]
- Laukkanen, T., "Communication strategies to overcome functional and psychological resistance to Internet banking", International Journal of Information Management, 29(2), pp.111~118 (2009)[DOI]
- Liao, C. -H., "User acceptance of computer-mediated communication: The SkypeOut case", Expert Systems with Applications, 36(3, Part 1), pp.4595~4603 (2009)[DOI]
- Luo, W., "Influence of sports applications on college students’ exercise behaviors and habits : A thematic analysis", Alexandria Engineering Journal, 60(6), pp.5095~5104 (2021)[DOI]
- Lupton, D., "‘Better understanding about what’s going on’: Young Australians’ use of digital technologies for health and fitness", Sport, Education and Society, 25(1), pp.1~13 (2020)[DOI]
- McLean, G., "Hey Alexa …examine the variables influencing the use of artificial intelligent in-home voice assistants", Computers in Human Behavior, 99, pp.28~37 (2019)[DOI]
- Msaed, C., "Building a comprehensive model to investigate factors behind switching intention of high-technology products", Journal of Product &Brand Management, 26(2), pp.102~119 (2017)[DOI]
- Naraine, M., "Follower segments within and across the social media networks of major professional sport organizations", Sport Marketing Quarterly, 28(4), pp.222~233 (2019)[DOI]
- Nguyen, H. V., "Organic food purchases in an emerging market : The influence of consumers’personal factors and green marketing practices of food stores", International Journal of Environmental Research and Public Health, 16(6), pp.3390~ (2019)[DOI]
- Nguyen, T. T., "Impacts of household norms and trust on organic food purchase behavior under adapted theory of planned behavior", Journal of Agribusiness in Developing and Emerging Economies (2023)[DOI]
- Nunnally, J. C., "Psychometric theory" (1994), McGraw-Hill
- Oye, N. D., "The history of UTAUT model and its impact on ICT acceptance and usage by academicians", Education and Information Technologies, 19(1), pp.251~270 (2014)[DOI]
- Peterson, M., "Consumers’processing of mindful commercial car sharing", Business Strategy and the Environment, 28(3), pp.457~465 (2019)[DOI]
- Pillai, R., "An empirical study on the adoption of m-learning apps among IT", ITeS employees, 2018, pp.15(3), 182~204
- Popkova, E. G., "A theory of digital technology advancement to address the grand challenges of sustainable development", Technology in Society, 68, pp.101831~ (2022)[DOI]
- Ram, S., "Consumer resistance to innovations : The marketing problem and its solutions", Journal of Consumer Marketing, 6(2), pp.5~14 (1989)[DOI]
- Rauniar, R., "Technology Acceptance Model(TAM)and social media usage : An empirical study on Facebook", Journal of Enterprise Information Management, 27(1), pp.6~30 (2014)[DOI]
- Rokeach, M., "The nature of human values" (1973), Free Press
- Ryan, J., "The role of brand reputation in organic food consumption : A behavioral reasoning perspective", Journal of Retailing and Consumer Services, 41, pp.239~247 (2018)[DOI]
- Sadiq, M. A., "The role of food eating values and exploratory behaviour traits in predicting intention to consume organic foods : An extended planned behaviour approach", Journal of Retailing and Consumer Services, 59, pp.102352~ (2021)[DOI]
- Sahu, A. K., "Envisioning the future of behavioral decision-making : A systematic literature review of behavioral reasoning theory", Australasian Marketing Journal, 28(4), pp.145~159 (2020), Scopus[DOI]
- Schwartz, S., "A proposal for measuring value orientations across nations", Questionnaire package of the European Social Survey, pp.259~290 (2003)
- Schwartz, S. H., "Universals in the content and structure of values : Theoretical advances and empirical tests in 20 countries", Advances in Experimental Social Psychology, 25, pp.1~65 (1992)[DOI]
- Seong, B. -H., "Corroborating the effect of positive technology readiness on the intention to use the virtual reality sports game"Screen Golf" : Focusing on the technology readiness and acceptance model", Information Processing & Management, 59(4), pp.102994~ (2022)[DOI]
- Sheth, J. N., "Innovation resistance. The Less Developed Concept(LDC)in diffusion research", Research in Marketing, 4(3), pp.273~282 (1981)
- Sivathanu, B., "Adoption of Internet Of Things(IOT)based wearables for healthcare of older adults – A Behavioural Reasoning Theory(BRT)approach", Journal of Enabling Technologies, 12(4), pp.169~185 (2018)[DOI]
- Sivathanu, B., "Adoption of online subscription beauty boxes : A Behavioural Reasoning Theory(BRT)perspective", Journal of Electronic Commerce in Organizations, 16(4), pp.19~40 (2018)[DOI]
- Songkram, N., "Students’ adoption towards behavioral intention of digital learning platform", Education and Information Technologies, 28(9), pp.11655~11677 (2023)[DOI]
- Stockless, A., "Acceptance of learning management system : The case of secondary school teachers", Education and Information Technologies, 23(3), pp.1101~1121 (2018)[DOI]
- Talwar, S., "Barriers toward purchasing from online travel agencies", International Journal of Hospitality Management, 89, pp.102593~ (2020)[DOI]
- Tewari, A., "Examining the role of receptivity to green communication, altruism and openness to change on young consumers’ intention to purchase green apparel : A multi-analytical approach", Journal of Retailing and Consumer Services, 66, pp.102938~ (2022)[DOI]
- Tewari, A., "A modified UTAUT framework to predict students’intention to adopt online learning : Moderating role of openness to change", The International Journal of Information and Learning Technology, 40(2), pp.130~147 (2023)[DOI]
- Thompson, A., "Exploring the nexus of digital technology and organizational change in non-profit sport organizations", Sport Management Review (2024)[DOI]
- Thong, J. Y. L., "The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance", International Journal of Human-Computer Studies, 64(9), pp.799~810 (2006)[DOI]
- Tjønndal, A., "The impact of COVID-19lockdowns on Norwegian athletes’ training habits and their use of digital technology for training and competition purposes", Sport in Society, 25(7), pp.1373~1387 (2022)[DOI]
- Uhrich, S., "Sport spectator adoption of technological innovations : A behavioral reasoning analysis of fan experience apps", Sport Management Review, 25(2), pp.275~299 (2022)[DOI]
- Verma, V. K., "Values and ascribed responsibility to predict consumers’attitude and concern towards green hotel visit intention", Journal of Business Research, 96, pp.206~216 (2019)[DOI]
- Westaby, J. D., "Behavioral reasoning theory : Identifying new linkages underlying intentions and behavior", Organizational Behavior and Human Decision Processes, 98(2), pp.97~120 (2005)[DOI]
- Westmattelmann, D., "Apart we ride together : The motivations behind users of mixed-reality sports", Journal of Business Research, 134, pp.316~328 (2021)[DOI]
- Wiser, R. H., "Using contingent valuation to explore willingness to pay for renewable energy : A comparison of collective and voluntary payment vehicles", Ecological Economics, 62(3-4), pp.419~432 (2007)[DOI]
- Yadav, J., "Distributed computing to blockchain", pp.405~414 (2023), Elsevier
- Yang, C., "Smart stadium as a laboratory of innovation : Technology, sport, and datafied normalization of the fans", Communication & Sport, 10(2), pp.374~389 (2022)[DOI]
- Zhang, T., "A study of the diffusion of alternative fuel vehicles : An agent-based modeling approach* : Diffusion of alternative fuel vehicles", Journal of Product Innovation Management, 28(2), pp.152~168 (2011)[DOI]
- Zhong, X., "Preventing and detecting insufficient effort survey responding", Advances in Psychological Science, 29(2), pp.225~237 (2021)[DOI]
- Zhou, R., "Difference between leisure and work contexts : The roles of perceived enjoyment and perceived usefulness in predicting mobile video calling use acceptance", Frontiers in Psychology, 8, pp.350~ (2017)[DOI]
