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Nazemi Bidgoli, Alireza, Mohamadi Turkmani, Ehsan, Irani, Hamid Reza. (1402). Investigating the Effect of Social Influence and Gender on the Willingness to use IOT Technology in Sports: From Consumer Perspective. سامانه مدیریت نشریات علمی, 4(4), 28-41. doi: 10.22098/rsmm.2023.12612.1217
Alireza Nazemi Bidgoli; Ehsan Mohamadi Turkmani; Hamid Reza Irani. "Investigating the Effect of Social Influence and Gender on the Willingness to use IOT Technology in Sports: From Consumer Perspective". سامانه مدیریت نشریات علمی, 4, 4, 1402, 28-41. doi: 10.22098/rsmm.2023.12612.1217
Nazemi Bidgoli, Alireza, Mohamadi Turkmani, Ehsan, Irani, Hamid Reza. (1402). 'Investigating the Effect of Social Influence and Gender on the Willingness to use IOT Technology in Sports: From Consumer Perspective', سامانه مدیریت نشریات علمی, 4(4), pp. 28-41. doi: 10.22098/rsmm.2023.12612.1217
Nazemi Bidgoli, Alireza, Mohamadi Turkmani, Ehsan, Irani, Hamid Reza. Investigating the Effect of Social Influence and Gender on the Willingness to use IOT Technology in Sports: From Consumer Perspective. سامانه مدیریت نشریات علمی, 1402; 4(4): 28-41. doi: 10.22098/rsmm.2023.12612.1217

Investigating the Effect of Social Influence and Gender on the Willingness to use IOT Technology in Sports: From Consumer Perspective

Research in Sport Management and Marketing
مقاله 3، دوره 4، شماره 4، آذر 2023، صفحه 28-41    اصل مقاله (425.3 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22098/rsmm.2023.12612.1217
نویسندگان
Alireza Nazemi Bidgoli1؛ Ehsan Mohamadi Turkmani2؛ Hamid Reza Irani* 3
1Department of Sport Management, Master student of Sport Sciences and Health, University of Tehran
2Department of Sport Management, Faculty of Sport Sciences, University of Tehran, Iran
3College of Farabi, University of Tehran, Iran
چکیده
This research was conducted with the aim of investigating the effect of social influence and gender on the willingness to use IOT technology in sports from consumer perspective. The current research was applied and correlational. The statistical population of the research was the insured athletes at least for 1 year. Data analysis was done using structural equations through SmartPLS3 software. The results of the research showed that the attitude variable has a significant effect on the willingness to use IOT technology in sports. The positive and direct effect of the social influence variable on the willingness to use was confirmed; But the relationship of social influence on attitude did not have the appropriate level of significance. Perceived ease of use has a significant effect on the variable of attitude and perceived usefulness, and the effect of perceived ease of use on perceived usefulness was greater. Also, perceived usefulness has a significant effect on the variable of willingness to use and attitude, which has a greater effect on attitude. The effect of gender as a moderating variable on social influence, attitude and willingness to use IOT technology in sports did not have an acceptable level of significance. By introducing marketing 5.0 and based on the results, it is suggested that, in line with the desire to use IOT technology in sports, the perceived usefulness should increase the perceived ease of use in order to improve the attitude towards the use of this technology and ultimately increase the desire to use it.
کلیدواژه‌ها
Internet of Things؛ sports wear؛ Sport؛ Technology acceptance model
مراجع
  • Aksoy, N. C., Alan, A. K., Kabadayi, E. T., & Aksoy, A. (2020). Individuals' intention to use sports wearables: the moderating role of technophobia. International Journal of Sports Marketing and Sponsorship, 21(2), 225-245. https://doi.org/10.1108/IJSMS-08-2019-0083
  • Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International. https://doi.org/10.1108/NBRI-01-2014-0005
  • Athena, G., & Maryam, P. R. Investigating factors affecting the acceptance of smart healthcare devices using the hybrid technology acceptance model. http://jhbmi.ir/article-1-447-fa.html
  • Baier, D., & Stüber, E. (2010). Acceptance of recommendations to buy in online retailing. Journal of Retailing and Consumer Services, 17(3), 173-180. https://doi.org/10.1016/j.jretconser.2010.03.005
  • Becker, B. (1986). Influence again: an examination of reviews and studies of gender dif ferences in social influence. The psychology of gender: Advances through meta-analysis (pp. 178-209). In: Baltimore: Johns Hopkins University Press https://www.jstor.org/stable/3174607.
  • Chang, P. V.-C. (2004). The validity of an extended technology acceptance model (TAM) for predicting intranet/portal usage. https://doi.org/10.17615/3hwc-m174
  • Crawford, M., Chaffin, R., & Fitton, L. (1995). Cognition in social context. Learning and individual differences, 7(4), 341-362. https://doi.org/10.1016/1041-6080(95)90006-3
  • Dalle, J. (2010). The relationship between PU and PEOU towards the behavior intention in new student placement (nsp) system of senior high school in Banjarmasin, South Kalimantan, Indonesia. http://idr.uin-antasari.ac.id/id/eprint/6638
  • 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. https://doi.org/10.1287/mnsc.35.8.982
  • Eagly, A. H., & Carli, L. L. (1981). Sex of researchers and sex-typed communications as determinants of sex differences in influenceability: a meta-analysis of social influence studies. Psychological Bulletin, 90(1), 1. https://psycnet.apa.org/doi/10.1037/0033-2909.90.1.1
  • Furqani, M. A., Dehghani Soltani, M., Farsizadeh, H., & Baghani, A. (2017). The effect of technology adoption on the willingness to use SMS advertising among sports equipment consumers (a case study of Tehran). Sports management studies 9(45 ), 213-230 https://doi.org/10.22089/smrj.2017.3834.1749
  • Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS quarterly, 389-400. https://www.jstor.org/stable/249720
  • Gholamian, Ramadanzadeh, sure, Mahmoudi, Ahmad, honey, & Bahadur. (2022). Providing a model of key success factors in the process of sports businesses. Strategic Management Studies Quarterly. https://doi.org/10.22034/smsj.2022.159240
  • Hamza, A., & Shah, A. (2014). Gender and mobile payment system adoption among students of tertiary institutions in Nigeria. International Journal of Computer and Information Technology, 3(1), 13-20. http://www.ijcit.com/archives/volume3/issue1/Paper030103.pdf
  • Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management science, 40(4), 440-465. https://doi.org/10.1287/mnsc.40.4.440
  • Holbrook, A. L., Berent, M. K., Krosnick, J. A., Visser, P. S., & Boninger, D. S. (2005). Attitude importance and the accumulation of attitude-relevant knowledge in memory. Journal of personality and social psychology, 88(5), 749. https://psycnet.apa.org/doi/10.1037/0022-3514.88.5.749
  • Hoon Ang, S., Sim Cheng, P., Lim, E. A., & Kuan Tambyah, S. (2001). Spot the difference: consumer responses towards counterfeits. Journal of consumer Marketing, 18(3), 219-235. https://doi.org/10.1108/07363760110392967
  • Insight, C. (2016). Wearables momentum continues. Online verfügbar unter: http://www.ccsinsight. com/press/company-news/2516-wearables-momentum-continues.
  • Kehrizsangi, G., butterfly, t., Rahimi, & when. (2017). Investigating factors affecting the adoption of new information technologies in the General Administration of Sports and Youth of Isfahan province based on the TAM model. Journal of sports management, 9(1), 129-144. https://doi.org/10.22059/jsm.2017.62134
  • Kim, K. J., & Shin, D.-H. (2015). An acceptance model for smart watches: Implications for the adoption of future wearable technology. Internet Research. https://doi.org/10.1108/IntR-05-2014-0126
  • Kim, T. , Lee, J. H., & Law, R. (2008). An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model. Tourism management, 29(3), 500-513. https://doi.org/10.1016/j.tourman.2007.05.016
  • Ledger, D. (2014). A look at the uncertain future of smart wearable devices, and five industry developments that will be necessary for meaningful mass market adoption and sustained engagement. Inside wearables-part, 2. http://endeavourpartners.net/assets/Endeavour-Partners-Inside-Wearables-Part-2-July-2014.pdf
  • Lee, J., Kim, D., Ryoo, H.-Y., & Shin, B.-S. (2016). Sustainable wearables: Wearable technology for enhancing the quality of human life. Sustainability, 8(5), 466. https://doi.org/10.3390/su8050466
  • Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006
  • Lin, H.-F. (2007). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6(4), 433-442. https://doi.org/10.1016/j.elerap.2007.02.002
  • Mitrasinovic, S., Camacho, E., Trivedi, N., Logan, , Campbell, C., Zilinyi, R., Lieber, B., Bruce, E., Taylor, B., & Martineau, D. (2015). Clinical and surgical applications of smart glasses. Technology and Health Care, 23(4), 381-401. 10.3233/THC-150910
  • Mollahosseini, A., & Foroozanfar, M. H. (2019). Development and localization of technology acceptance model (TAM) in small and medium-sized enterprises (SMEs). Quarterly journal of Industrial Technology Development, 16(34), 39-48. http://jtd.iranjournals.ir/article_33399_en.html
  • Moore, S. (2016). Gartner survey shows wearable devices need to be more useful. In: Gartner. Available online at: https://www.gartner.com/en/newsroom/press….
  • nia, h., farimani, m., gharebaba, m., & naser. (2022). Effective structures on the willingness to accept the Internet of Things by sample farmers in Tehran province. Extension science and agricultural education, 17(2), 235-249. https://www.iaeej.ir/&url=http:/www.iaeej.ir/article_148798.html?lang=fa
  • Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of consumer Marketing, 22(5), 247-256. https://doi.org/10.1108/07363760510611671
  • Ramkissoon, H., & Nunkoo, R. (2012). More than just biological sex differences: Examining the structural relationship between gender identity and information search behavior. Journal of Hospitality & Tourism Research, 36(2), 191-215. https://doi.org/10.1177/1096348010388662
  • Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of bank marketing, 28(5), 328-341. https://doi.org/10.1108/02652321011064872
  • Roberts, P., & Henderson, R. (2000). Information technology acceptance in a sample of government employees: a test of the technology acceptance model. Interacting with Computers, 12(5), 427-443. https://doi.org/10.1016/S0953-5438(98)00068-X
  • Salloum, S. A. S. (2018). Investigating students' acceptance of e-learning system in higher educational environments in the UAE: Applying the extended technology acceptance model (TAM) The British University in Dubai]. http://bspace.buid.ac.ae/handle/1234/1150
  • Shekari, Atefeh, Mousavi, Najmuddin, S., Alia, G. C., & Khaliq, A. (2020). Explaining the model of attitude towards advertising in sports goods through Instagram using the technology acceptance model. business management, 45(12), 203-225. https://bmj.ctb.iau.ir/article_673302.html
  • Shin, D.-H. (2007). User acceptance of mobile Internet: Implication for convergence technologies. Interacting with computers, 19(4), 472-483. https://doi.org/10.1016/j.intcom.2007.04.001
  • Shin, S., & Lee, W.-j. (2014). The effects of technology readiness and technology acceptance on NFC mobile payment services in Korea. Journal of Applied Business Research (JABR), 30(6), 1615-1626. https://doi.org/10.19030/jabr.v30i6.8873
  • Straub, D., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information & management, 33(1), 1-11. https://doi.org/10.1016/S0378-7206(97)00026-8
  • Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020). Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon, 6(11), e05410. https://doi.org/10.1016/j.heliyon.2020.e05410
  • Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International journal of human-computer studies, 64(2), 53-78. https://org/10.1016/j.ijhcs.2005.04.013
  • Tan, G. W.-H., Ooi, K.-B., Chong, S.-C., & Hew, T.-S. (2014). NFC mobile credit card: the next frontier of mobile payment? Telematics and Informatics, 31(2), 292-307. https://doi.org/10.1016/j.tele.2013.06.002
  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
  • 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. https://doi.org/10.1287/isre.11.4.342.11872
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  • Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS quarterly, 115-139. https://doi.org/10.2307/3250981
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. https://doi.org/10.2307/30036540
  • Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services. Journal of consumer marketing, 27(3), 262-270. https://doi.org/10.1108/07363761011038338
  • Sohrabi, Z., Hasanzadeh, N., & Rahimi, A. (2021). Sport’s Function Analysis in Iran's Development. Research in Sport Management and Marketing, 2(3), 1-11. doi: 10.22098/rsmm.2021.1321
  • Zardoshtian, S., & Yousefjan, B. (2023). The effect of extended technology acceptance model on the use of online education during the corona (a case study of physical education students). Research on Educational Sport, 10(29), 127-154. https://doi.org/10.22089/res.2022.11997.2215
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