A Research on Behavioral Intentions and Uses of Consumer to Adopt of Wearable Technologies

Year 2020, Volume: 4 Issue: 1, 14 - 35, 30.06.2020

Seyran Belge Hanifi Murat Mutlu

Abstract

Tüketicilerin Giyilebilir Teknolojileri Benimsenmesine Yönelik Davranışsal Niyet Ve Kullanımları Üzerine Bir Araştırma

Abstract

Bu
çalışma, tüketicilerin giyilebilir teknolojileri benimsemesine yönelik
davranışsal niyetleri ve kullanımları üzerinde etkili faktörleri bütüncül bir
teorik model çerçevesinde ampirik olarak analiz etmeyi amaçlamaktadır.
Araştırmanın kavramsal modeli Birleştirilmiş Teknoloji Kullanım Ve Kabul
Teorisi 2 (UTAUT2) modeline dayanmaktadır. Ayrıca kavramsal modele UTAUT2
orijinal modelindeki değişkenlere ek olarak benlikte uyum, yenilikçilik
eğilimi, gizlilik riski ve güven değişkenleri ilave edildi. Araştırma verileri
anket yöntemi kullanılarak toplanıldı. Örnekleme yöntemi olarak kolayda
örnekleme yöntemi kullanıldı ve 302 anahtar yanıtlayıcıdan veriler elde edildi.
Araştırma hipotezlerini test etmek için bir dizi hiyerarşik regresyon analizi
yapıldı. Giyilebilir teknolojilerin benimsenme niyeti üzerinde performans
beklentisi, sosyal etki, yenilikçilik eğilimi, gizlilik riski ve güven
değişkenlerinin etkili olduğu görülmektedir. Bu değişkenler içerisinde en güçlü
etkiye sahip değişken gizlilik riski değişkeni olarak tespit edildi

Keywords

Birleştirilmiş Teknoloji Kullanım ve Kabul Teorisi 2 (UTAUT2), Teknoloji Benimseme

References

• Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370-387.Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50 (2), 179-211.Alaiad, A., & Zhou, L. (2014). The determinants of home healthcare robots adoption: An empirical investigation. International journal of medical informatics, 83(11), 825-840.Arenas Gaitán, J., Peral Peral, B., & Ramón Jerónimo, M. (2015). Elderly and internet banking: An application of UTAUT2. Journal of Internet Banking and Commerce, 20 (1), 1-23.Armutlu, C., & Üner, M. M. (2009). Benlik İmajı Uyumu, Tüketici Tatmini Ve Marka Sadakati İlişkisi Üzerine Görgül Bir Araştırma. Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 11(3), 1-26.Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory, NJ: Prentice Hall.Baptista, G., and Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430.Celik, H. (2016). Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework. Asia Pacific Journal of Marketing and Logistics, 28(2), 278-307.Chang, C. C. (2013). Library mobile applications in university libraries. Library Hi Tech, 31(3), 478-492.Chuang, Y.F. (2011). Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions. Telecommunications Policy, Vol. 35 No. 2, pp. 128-140.Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22(14), 1111-1132.Davis, F.D. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and result. Ph.D. dissertation, Sloan School of Management, Massachusetts Institute of Technology.De Sena Abrahao, R., Moriguchi, S. N., and Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT). RAI Revista de Administração e Inovação, 13(3), 221-230.Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70-88.Fishbein, M. and Ajzen I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, MA: Addision-Wesley.Flynt J. (2019). “How Big is the Wearables Industry? Interesting Statistics and Trends.” available at: https://3dinsider.com/wearables-statistics/Gao, Y., Li, H., and Luo, Y. (2015). An empirical study of wearable technology acceptance in healthcare. Industrial Management and Data Systems, 115(9), 1704-1723.Hew, J. J., Lee, V. H., Ooi, K. B., & Wei, J. (2015). What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data Systems, 115(7), 1269-1291.Khalilzadeh, J. A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, s. 460-474.Kim, K. J., & Shin, D. H. (2015). An acceptance model for smart watches: implications for the adoption of future wearable technology. Internet Research, 25(4), 527-541.Kim, S. S., & Malhotra, N. K. (2005). Predicting system usage from intention and past use: scale issues in the predictors. Decision Sciences, 36(1), 187-196.Koo, H. and Fallon, K. (2017), "Preferences in tracking dimensions for wearable technology", International Journal of Clothing Science and Technology, Vol. 29 No. 2, pp. 180-199. https://doi.org/10.1108/IJCST-03-2016-0021Kurt, G. (2013). Duygusal Süreçler Bağlamında Tüketici Davranışları: Genç Tüketicilerin Teknolojik Ürün Kullanımı Üzerine Bir Araştırma. Doktora Tezi, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü. İzmir.Martins, C., Oliveira, T., and Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.Mutlu, H. M., Çeviker, A., & Çirkin, Z. (2011). Tüketici etnosentrizmi ve yabancı ürün satın alma niyeti: Türkiye ve Suriye üzerine karşılaştırmalı analiz. Sosyoekonomi, 14(1), 51-73.Mutlu, M. H., & Der, A. (2017). Unified theory of acceptance and use of technology: the adoption of mobile messaging application. Megatrend revija, 14(1), 169-186.Nikou, S. and Bouwman, H. (2014). Ubiquitous use of mobile social network services. Telematics and Informatics, Vol. 31 No. 3, pp. 422-433.Oechslein, O., Fleischmann, M., & Hess, T. (2014, January). An application of UTAUT2 on social recommender systems: Incorporating social information for performance expectancy. In 2014 47th Hawaii international conference on system sciences (pp. 3297-3306). IEEE.Öznur Özkan Tektaş, Ö. & Uğur B. (2018). Benlik Uyumu Ve Fonksiyonel Uyumun Tüketici-Marka Bağı Üzerindeki Etkisi: Cep Telefonu Kullanıcıları Üzerine Bir Çalışma. Pazarlama ve Pazarlama Araştırmaları Dergisi, Sayı: 22, Temmuz 2018, 249-272Rogers, E.M. (1962). Diffusion of Innovations, NY: Free Press.Statista (2016). “Facts and statistics on wearable technology”, available at: www.statista.com/topics/1556/wearable-technology/Šumak, B., & Šorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre-and post-adopters. Computers in Human Behavior, 64, 602-620.Taylor, S., and Todd, P. (1995a). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19, 561-570.Taylor, S., and Todd, P.A. (1995b). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176Tehrani, K., & Michael, A. (2014). Wearable technology and wearable devices: Everything you need to know. Wearable Devices Magazine, 26.Teo, A. C., Tan, G. W. H., Ooi, K. B., Hew, T. S., and Yew, K. T. (2015). The effects of convenience and speed in m-payment. Industrial Management and Data Systems, 115(2), 311-331.Thompson, R. L., Higgins, C. A., and Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 125-143.Tosuntas, Ş. B., Karadag, E., and Orhan, S. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology. Computers and Education, 81, 169-178.Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.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.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, 36(1), 157-178.Williams, M. D., Rana, N. P., and Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management, 28(3), 443-488.Wong, C. H., Wei-Han Tan, G., Loke, S. P., and Ooi, K. B. (2014). Mobile TV: a new form of entertainment? Industrial Management and Data Systems, 114(7), 1050-1067.Wong, K. T., Russo, S., and McDowall, J. (2013). Understanding early childhood student teachers' acceptance and use of interactive whiteboard. Campus-Wide Information Systems, 30(1), 4-16.Wu, L. H., Wu, L. C., & Chang, S. C. (2016). Exploring consumers’ intention to accept smartwatch. Computers in Human Behavior, 64, 383-392.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.Yousafzai, S. Y., Pallister, J. G., & Foxall, G. R. (2003). A proposed model of e-trust for electronic banking. Technovation, 23(11), 847-860.Yuen, Y. Y., Yeow, P. H., & Lim, N. (2015). Internet banking acceptance in the United States and Malaysia: a cross-cultural examination. Marketing Intelligence & Planning, 33(3), 292-308.Zhou, T., Lu, Y., and Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767.Zuiderwijk, A., Janssen, M., and Dwivedi, Y. K. (2015). Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly, 32(4), 429-440.