نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری، گروه تربیت بدنی، دانشکده علوم انسانی، دانشگاه کردستان
2 استاد مدیریت ورزشی، گروه تربیت بدنی و علوم ورزشی دانشکده علوم انسانی و اجتماعی دانشگاه کردستان
3 گروه تربیت بدنی و علوم ورزشی، دانشکده علوم انسانی و اجتماعی، دانشگاه کردستان، سسندج، ایران
4 'گروه تربیت بدنی و علوم ورزشی، دانشکده علوم انسانی و اجتماعی، دانشگاه کردستان، سنندج، ایران
چکیده
هدف: هدف از تحقیق حاضر ارائه مدل عوامل مؤثر بر استفاده از گوشیهای هوشمند در مصرف ورزش است.
روش‌شناسی: پژوهش حاضر با روش تحقیق توصیفی - همبستگی انجام پذیرفت. جامعه آماری پژوهش را دانشجویان دانشگاه کردستان تشکیل میدادند که 400 نفر آنها بر اساس جدول کرجسی و مورگان بهعنوان نمونه آماری انتخاب شدند. ابزار مورد استفاده تحقیق پرسشنامه ادراک نسبت به گوشیهای هوشمند از هوانگ و چوانگ (2015)، عوامل خاص ورزش از هور و همکاران (2012)، عوامل خاص گوشیهای هوشمند از ها و همکاران (2017) بودند که روایی صوری و محتوایی آن به وسیله متخصصان و همسانی درونی آن از طریق آلفای کرونباخ تایید شد. جهت آزمون فرضیات از مدل معادلات ساختاری استفاده گردید.
یافتهها: یافتهها نشان دادند مدل ارائه شده دارای برازش مناسبی است. وهمچنین عوامل ادراک نسبت به گوشیهای هوشمند به ترتیب با ضرایب، سهولت استفاده (85/0)، مفیدی درک شده (71/0)، و لذت درک شده (41/0)، و عوامل مربوط به ورزش، درگیری ورزشی (67/0)، تعهد روانی (32/0)، و درنهایت عوامل مختص به گوشهای هوشمند، وابستگی شخصی(70/0)، چند رسانهای (64/0) و نفوذ اجتماعی (24/0) بیشترین تأثیر را در قصد استفاده از گوشیهای هوشمند برای مصرف ورزش داشتند.
نتیجه‌گیری: از کاربردها و پیامدهای مثبت پژوهش حاضر این است که مدیران ورزشی و توسعهدهندگان نرمافزارهای ورزشی از درک اهداف و انگیزههای کاربران این گوشیها در زمینه ورزش بهرهمند میشوند، در حین حال نیز بازاری برای مصرف برنامهها و کاربردهای تلفنهای هوشمند در زمینه ورزش را پدید میآورد.
کلیدواژه‌ها
عنوان مقاله [English]
Presenting the model of the influencing factors to usage intention of smartphones in sport
نویسندگان [English]
- ABED MAHMOODIN 1
- Saeed Sadeghi Boroujerdi 2
- Vahid Delshab 3
- Sara Gharibi 4
1 university of Kurdistan
2 department of physical Education and sport sciences, faculty of humanity and social sciences, sanandaj, Iran
3 department of physical Education and sport sciences, faculty of humanity and social sciences, sanandaj, Iran
4 physical education. department of humanity social science, university of Kurdistan, sanandaj. iran
چکیده [English]
Objective: the present study aiming to present a model of factors influencing on the use of Smartphones for sport consumption.
Methodology: The research method was the descriptive – correlative type. the statistical population of the study included all of the students in the University of Kurdistan from which 400 were selected by using Krejcie and Morgan’s table. Research method in this study was the descriptive correlative type. In order to measure research variables, Hwang and Chung (2015) questionnaires of Perceptions toward Smartphone, Hur et al (2012) questionnaires of Sport-specific Factors, Ha et al(2017) questionnaires of Smartphone-specific Factors were used. Face and content validity were confirmed by the experts, and the Cronbach’s alpha test used to calculate the reliability. To analyse the research hypothesis structural equation model (SEM) were utilized.
Results: The results indicated that the presented model illustrate proper finesses. Also, among the factors of Perceptions toward Smartphone, Perceived Ease of Use (0.85), Perceived Usefulness (0.71), and Perceived Enjoyment(0.41), and among the Sport-specific Factors, Sport Involvement (0.67), Sport Commitment(0.32), and finally among the Smartphone-specific Factors, Personal Attachment (0.70), Media Multitasking (0.64) and Social Influence (0.24) had the highest influence on the Usage Intention of smartphone for Sport consumption.
Conclusion: Present study has implications for sport managers and sport software’s developers to understand the drivers of smartphone use for sport consumption, while they establish a market for use of software and the usage of smartphones in sport.
کلیدواژه‌ها [English]
- smartphones
- technology
- Usage Intention
- sport consumption
- Ahn, T., Hong, M., & Pedersen, P. M. (2014). Effects of perceived interactivity and web organization on user attitudes. European sport management quarterly, 14(2), 111-128.
- Bardhi, F., Rohm, A. J., & Sultan, F. (2010). Tuning in and tuning out: media multitasking among young consumers. Journal of Consumer Behaviour, 9(4), 316-332.
- Bee, C. C., & Havitz, M. E. (2010). Exploring the relationship between involvement, fan attraction, psychological commitment and behavioural loyalty in a sports spectator context. International Journal of Sports Marketing and Sponsorship, 11(2), 37-54.
- Burst Media (2012),“Sports fans and digital media: a scorecard on preferences and behaviors”,
- Carlson, J., & O'Cass, A. (2012). Optimizing the online channel in professional sport to create trusting and loyal consumers: The role of the professional sports team brand and service quality. Journal of Sport Management, 26(6), 463-478.
- Carmichael, M. (2011, August 2). Stat of the day: 25% of toddlers have used a smartphone [Web log message]. Retrieved from http://adage.com/article/adagestat/25-toddlers-a-smartphone/229082.
- Casper,J.and Andrew,D.P.S.(2008), “Sport commitment differences among tennis players on the basis of participation outlet and skill level”, Journal of Sport Behavior, Vol. 31 No. 3, pp. 201-219.
- Chesney, T. (2006). An acceptance model for useful and fun information systems. Human Technology: An Interdisciplinary Journal on Humans in ICT Environments, 2(2), 225-235.
- Chun, H., Lee, H., & Kim, D. (2012). The integrated model of smartphone adoption: Hedonic and utilitarian value perceptions of smartphones among Korean college students. Cyberpsychology, Behavior, and Social Networking, 15(9), 473-479.
- Chung, J., Jung, H., Koo, J., Kim, Y., & Kim, U. M. (2017, January). A development of power consumption measurement system for Android smartphones. In Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication (p. 95). ACM.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003.
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22(14), 1111-1132.
- Dwyer, B., & Kim, Y. (2011). For love or money: Developing and validating a motivational scale for fantasy football participation. Journal of Sport Management, 25(1), 70-83.
- Filo, K., Funk, D. C., & Hornby, G. (2009). The role of web site content on motive and attitude change for sport events. Journal of Sport Management, 23(1), 21-40.
- Gao, T., Rohm, A. J., Sultan, F., & Huang, S. (2012). Antecedents of consumer attitudes toward mobile marketing: A comparative study of youth markets in the United States and China. Thunderbird International Business Review, 54(2), 211-224.
- Ha, J. P., Ha, J. P., Kang, S. J., Kang, S. J., Kim, Y., & Kim, Y. (2017). Sport fans in a “smart sport”(SS) age: drivers of smartphone use for sport consumption. International Journal of Sports Marketing and Sponsorship, 18(3), 281-297.
- Ha, J. P., Kang, S. J., & Ha, J. (2015). A conceptual framework for the adoption of smartphones in a sports context. International Journal of Sports Marketing and Sponsorship, 16(3), 2-19.
- Hsu, C.-L., & Lin, J. C.-C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & management, 45(1), 65-74
- Hur, Y., Ko, Y. J., & Claussen, C. L. (2012). Determinants of using sports web portals: an empirical examination of the Sport Website Acceptance Model. International Journal of Sports Marketing and Sponsorship, 13(3), 6-25.
- Hur, Y., Ko, Y. J., & Valacich, J. (2007). Motivation and concerns for online sport consumption. Journal of Sport Management, 21(4), 521-539.
- Hur, Y., Ko, Y. J., & Valacich, J. (2011). A structural model of the relationships between sport website quality, e-satisfaction, and e-loyalty. Journal of sport management, 25(5), 458-473.
- Hwang, G., & Chung, K.-s. (2015). What Make Sport Spectators Scan Quick Response Code? Application of Technology Acceptance Model to MLB Attendees. Journal of Physical Education, 2(2), 88-99.
- Kang, S. (2017). Mobile communication and pro sports: motivation and fan loyalty. International Journal of Mobile Communications, 15(6), 604-627.
- Kang, S. J., Ha, J. P., & Hambrick, M. E. (2015). A mixed-method approach to exploring the motives of sport-related mobile applications among college students. Journal of Sport Management, 29(3), 272-290.
- Kunkel, T., Doyle, J. P., & Funk, D. C. (2014). Exploring sport brand development strategies to strengthen consumer involvement with the product–The case of the Australian A-League. Sport Management Review, 17(4), 470-483.
- Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204.
- Maghnati, F., & Ling, K. C. (2013). Exploring the relationship between experiential value and usage attitude towards mobile apps among the smartphone users. International Journal of Business and Management, 8(4), 1.
- Mahony, D. F., Madrigal, R., & Howard, D. A. (2000). Using the psychological commitment to team (PCT) scale to segment sport consumers based on loyalty. Sport Marketing Quarterly, 9(1), 15.
- Park, N., & Lee, H. (2012). Social implications of smartphone use: Korean college students' smartphone use and psychological well-being. Cyberpsychology, Behavior, and Social Networking, 15(9), 491-497.
- Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
- Persaud, A., & Azhar, I. (2012). Innovative mobile marketing via smartphones: Are consumers ready?. Marketing Intelligence & Planning, 30(4), 418-443.
- Rohm, A. J., Gao, T. T., Sultan, F., & Pagani, M. (2012). Brand in the hand: A cross-market investigation of consumer acceptance of mobile marketing. Business Horizons, 55(5), 485-493.
- Rudyk, K. (2014), “10 stats to help you increase sports fan engagement”, available at: www.scribblelive.com/blog/2014/02/19/10-stats-to-help-you-increase-sports-fan-engagement/ (accessed September 5, 2015).
- Seo, W. J., & Green, B. C. (2008). Development of the motivation scale for sport online consumption. Journal of Sport Management, 22(1), 82-109.
- Stevens, S., & Rosenberger, P. J. (2012). The influence of involvement, following sport and fan identification on fan loyalty: an Australian perspective. International Journal of Sports Marketing and Sponsorship, 13(3), 57-71.
- Sun, H., & Zhang, P. (2006). Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach. Journal of the Association for Information Systems, 7(9), 24.
- Taylor, D. G., Voelker, T. A., & Pentina, I. (2011). Mobile application adoption by young adults: A social network perspective.
- Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.
- Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
- You, J. H., Lee, J. H., & Park, C. (2011). Factors influencing adoption and post-adoption of smart phone. In Proceedings of International Conference on Software and Computer Applications (ICSCA 2011).
Yu, C.-C. (2007). Professional sports marketers’ perceptions regarding the use of web advertising. European Sport Management Quarterly, 7(2), 213-226
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