Sporda Giyilebilir Teknolojilerin Birleştirilmiş Teknoloji Kabul ve Kullanım Teorisi 2’ye (Utaut-2) Göre Davranışsal Niyetlerin İncelenmesi: Nabız Monitörü Örneği

Teknolojinin her alanda gösterdiği gelişim, spor ekipmanları konusunda da önemli mal ve hizmet çeşitliliğini doğurmaktadır. Bunlardan biri olan nabız monitörleri aktif spor yapan bireylerin egzersiz kalitesini etkilemektedir. Bu ise, söz konusu mal ve hizmetlere dair geliştirilen davranışsal niyetlere etki etmektedir. Nabız monitörleri spor yapan bireylerin antrenmanın yeri, antrenman süresi, antrenman mesafesi, kalori tüketimi gibi birçok aktivite göstergesini yakalamasına imkân veren cihazlardır. Birleştirilmiş teknoloji kabul ve kullanım teorisi 2 üzerinden yapılan bu araştırma ile nabız monitörlerinin spora dair katkıları ve kullanıcıların davranışsal niyetleri incelenmiştir. Tarama araştırmalarının veri toplama metodu olan anket aracılığıyla yürütülen çalışma sonucunda katılımcıların cinsiyet, yaş, eğitim durumu ve spor alışkanlıklarına göre oluşturulan değişkenlerin davranışsal beklenti temelindeki niyetleri araştırılmıştır. Bu niyetler performans beklentisi, çaba beklentisi, sosyal etki, kolaylaştırıcı koşullar, ücret değeri ve hedonik motivasyon olarak belirlenmiştir. Araştırmanın sonucunda kullanıcı deneyimine işaret eden kolaylaştırıcı koşulların önemli bir değişken olduğu bulgulanırken hedonik motivasyon ve ücret değerinin de davranışsal beklenti niyetinin önemli yordayıcıları olduğu gözlemlenmiştir.

Investigation of Behavioral Intentions According to Unified Technology Acceptance and Use Theory 2 (Utaut-2) of Wearable Technologies in Sports: Example of the Heart Monitor

The modern world encourages individuals to be conscious of sports routines for a healthy life, by means of popularized approaches to sports and health. Health and sports industries, which are affected by developing technology, reshape accordingly the wearable technologies. The heart rate monitors used in those industries adapt for the different parts of the body and can measure by taking heart rate inputs from different parts of the body through wearable technologies such as skin patches, body bands, smart shoes or smart clothes. These devices can also monitor the consuming calories and performance tracking over the measured heart rate and time. This generates a numerical output of intentional reactions during body activity. Various factors which are affecting the use of heart rate monitors originate from the Technology Acceptance Theories. Approaches and attitudes of individuals affect their purchasing and usage levels towards these products. It has become possible to mention an increasing market share due to the widespread use of the wearable technologies. The industry, which is associated with sports and activity, falls within the scope of sports marketing. And wearable technologies in sports marketing have been in the Turkish market for the last 10 years. An increasing number of users experience over the heart rate monitors and their behavioral intentions about the product are shaped in the next process. The athletes which are the target audience, within the framework of sports marketing and the behavioural intentions of these individuals create one of the important determinants of marketing. The question that needs to be answered is which behavioural intention variable has an impact on a sectoral basis. It is aimed to contribute to the sports marketing literature in Turkey regarding the wearable technologies in sports marketing by the answer to the question is replied in the light of the findings in this study. In the literature review, especially in Turkish literature, it has been done that a limited number of researches on wearable technologies carried out in sports marketing. A study named Using Smartwatches for Fitness and Health Monitoring: The UTAUT2 Combined With Threat Appraisal As Moderators, which is among the studies on this subject, was carried out on individuals who are users or nonusers the heart rate monitors. The screening question was determined as 'Have you heard of smartwatches before?'. Individuals who answered "No" were not included in the survey. However, the participants consisted of individuals who use heart rate monitors and do sports in our study. Contrary to the research conducted in Malaysia, this research was conducted on the basis of behavioral intent regarding the users of the heart rate monitor and did not include the subheadings of perceived vulnerability and perceived severity in the survey questions. Although the study conducted in Malaysia focused on both sports and health fields, it was aimed to measure the behavioral intentions of individuals who only do sports and use heart rate monitors in this study. The perceived vulnerability and perceived severity which are the survey questions of the Malaysian study under the sub-headings about health issues. Thus, these sub-headings were not included in this survey questions because health issues were not included in this research. The survey research, which is one of the quantitative research methods, was used in the study. Informations collected from the respondents by the survey. The survey was conducted through the SurveyMonkey which is online survey platform in order to reach people easier, considering the pandemic conditions. After determinated the questions of the scale, communicated with a gym to find the participants for the study. After the survey was conducted to the trainers and members of the gym, other gym trainers and members were reached through the snowball sampling technique, which is one of the non-probability sampling techniques. The key point in the snowball sampling technique is that the participants have social bonds. Thus, the number of samples increases thanks to the participants interacting with their social environment.

___

  • Agar, J. (2020). What is technology? Annals of Science , 377-382.
  • Ajzen, I. (1991). The Theory of Planned Behavior . Organizational Behavior and Human Decision Processes, 179-211.
  • Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 314-324.
  • Asilkan, Ö., Albayrak, Y., & Oral, O. (2014). Yüksek Teknoloji Çok Fonksiyonlu Ürünlere Karşı Tüketici Tutumlarının İncelenmesi. Bilgi Ekonomisi ve Yönetimi Dergisi, 61-72.
  • Beh, P., Ganesan, Y., Iranmanesh, M., & Foroughi, B. (2021). Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators. Behaviour & Information Technology , 282-299.
  • Bilgi Teknolojileri İletişim Kurumu. (2020, 11 25). Giyilebilir Teknolojiler. Retrieved from www.btk.gov.tr: https://www.btk.gov.tr/uploads/pages/arastirma-raporlari/giyilebilir-teknolojiler-arastirma-raporu.pdf
  • Bloss, R. (2015). Wearable sensors bring new benefits to continuous medical monitoring, real time physical activity assessment, baby monitoring and industrial applications. Sensor Review, 141-145.
  • Brown, S. A., & Venkatesh, V. (2005). Model Of Adoptıon Of Technology In Households: A Baselıne Model Test And Extensıon Incorporatıng Household Lıfe Cycle. MIS Quarterly , 399-426.
  • Cabrilo, S., & Dahms , S. (2018). How strategic knowledge management drives intellectual capital to superior innovation and market performance. Journal of Knowledge Management, 621-648.
  • Cambridge Dictionary. (n.d.). technology. Retrieved 12 30, 2021, from dictionary.cambridge.org: https://dictionary.cambridge.org/tr/s%C3%B6zl%C3%BCk/ingilizce/technology
  • Cao, Y., DiPietro, R., & Kock, G. (2015). Customer Satisfaction and Behavioral Intentions: The Case of Aruba-- Small Island Nation. Hospitality Review.
  • Catherine, N., Geofrey, K. M., Moya, M. B., & Aballo , G. (2017). Effort Expectancy, Performance Expectancy, Social Influence and Facilitating Conditions as Predictors of Behavioural Intentions to use ATMS with Fingerprint Authentication in Ugandan Banks. Global Journal of Computer Science and Technology.
  • Chan, F. K., Thong, J. Y., Venkatesh, V., Brown, S. A., Hu, P. J., & Tam, K. Y. (2010). Modeling citizen satisfaction with mandatory adoption of an E-Government technology. Journal of the Association for Information Systems, 519-549.
  • Chang, A. (2012). Utaut and Utaut 2: A Revıew and Agenda For Future Research. Journal The WINNERS, 106-114.
  • Chau, A., Stephens, G., & and Jamieson, R. (2004). Biometrics Acceptance - Perceptions of Use of Biometrics. ACIS.
  • Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use And User Acceptance of Information Technology. MIS Quarterly, 319-340.
  • Davis, F., Bagozzi, R., & Warshaw, P. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 982-1003.
  • Deng, S., Liu, Y., & Qi, Y. (2011). An Empirical Study on Determinants of Web Based Question-Answer Services Adoption. Online Information Review.
  • Fishbein, M., & Ajzen, I. (1981). On construct validity: A critique of Miniard and Cohen's paper. Journal of Experimental Social Psychology, 340-350.
  • Fornell, C., & Larcker, D. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 39-50.
  • Fotiadis, T. (2018). Strategic Marketing for High Technology Products An Integrated Approach. Oxon: Routledge.
  • Gao, Y., Li, H., & Luo, Y. (2015). An empirical study of wearable technology acceptance in healthcare. Industrial Management & Data Systems, 1704-1723.
  • Grunenwald, J., & Vernon, T. (1988). Pricing Decision Making For High Technology Products and Services. Journal of Business and Industrial Marketing.
  • Gürbüz, S., & Şahin, F. (2018). Sosyal Bilimlerde Araştırma Yöntemleri. Ankara: Seçkin Akademik ve Mesleki Yayınlar.
  • Ham, M., Jeger, M., & Ivković, A. F. (2015). The role of subjective norms in forming the intention to purchase green food. Economic Research-Ekonomska Istraživanja , 738-748.
  • Hashai, N., & Zander, I. (2018). The Evolution of Vertical Boundaries in New High Technology Ventures. Strategic Entrepreneurship Journal, 1-47.
  • Hayward, J. (n.d.). Wearable Technology Forecasts 2021-2031. Retrieved 12 30, 2021, from https://www.idtechex.com/: https://www.idtechex.com/en/research-report/wearable-technology-forecasts-2021-2031/839
  • Kerimova, N. K., & Aliyeva, M. A. (2016). Teknoloji Sözünün Etimolojisine Genel Bakış. TURAN-SAM Uluslararası Bilimsel Hakemli Dergisi, 196-200.
  • Neslin, S. A., & Shankar, V. (2009). Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions. Journal of Interactive Marketing, 70-81.
  • Rangan, V., & Bartus, K. (1995). New product commercializa-tion: Common mistakes. In V. Rangan, B. Shapiro, & R. Moriarty, Business marketing strategy (pp. 63-75). Chicago: Irwin.
  • Ratten, V. (2020). Sport technology: A commentary. The Journal of High Technology Management Research.
  • Rexroad, R. A. (1983). High Technology Marketing Management. New York: Ronald Press.
  • Savić, Z., Ranđelović, N., Stojanov, N., Stanković, V., & Šiljak, V. (2018). The Sports Industry and Achıevıng Top Sports Results. Facts Universitatis Series Physical Education and Sport, 513-522.
  • Shanklin, W., & Ryans, J. (1984). Organizing for high-tech marketing. Harvard Business Review, 164-71.
  • Sierra, J. J., & Taute, H. A. (2019). Brand tribalism in technology and sport: determinants and outcomes. Journal of Brand Management, 209-225.
  • Venkatesh, V., Brown, S. A., Maruping, L., & Bala, H. (2008). Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation. MIS Quarterly, 483-502.
  • Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 425-478.
  • Venkatesh, V., Ramesh, V., & Massey, A. P. (2003). Understanding usability in mobile commerce. Communications of the ACM, 53-56.
  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending The Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 157-178.