Araştırma Makalesi
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TEKNOLOJİ KABUL MODELİ BAĞLAMINDA GİYİLEBİLİR TEKNOLOJİLERE YÖNELİK TUTUMUN SATIN ALMA NİYETİNE ETKİSİ

Yıl 2022, Cilt: 9 Sayı: 1, 81 - 101, 23.03.2022
https://doi.org/10.30798/makuiibf.822680

Öz

Teknolojik gelişmelerin insanların günlük yaşamlarının neredeyse tüm yönleri üzerinde önemli bir etkiye sahip olmasıyla birlikte giyilebilir teknolojik cihazlar daha fazla tercih edilir hale gelmiştir. Giyilebilir ürünler olarak da bilinen giyilebilir teknolojiler, aksesuar olarak takılabilen, giysiye gömülebilen, kullanıcının vücuduna takılabilen ve hatta cilde dövme olarak yapılabilen bir elektronik cihaz kategorisi olarak ifade edilebilir. Akıllı telefonların icadından sonra giyilebilir cihazlar, teknoloji dünyasındaki bir sonraki büyük yeniliktir. Aynı zamanda mobil ağların büyümesi, yüksek hızlı veri aktarımı ve minyatürleştirilmiş mikroişlemciler bu teknolojinin gelişmesini sağlamıştır. İnsanlar giyilebilir cihazlarla hayatlarını önemli decerecede kolaylaştırırken şirketler de giyilebilir cihazların büyük pazar ve iş değerlerinin öneminin farkına varmışlardır. Dolayısıyla bu çalışmada, insanların hayatında çok önemli bir yere sahip olan giyilebilir teknolojiler ele alınmış ve teknoloji kabul modeli bağlamında giyilebilir teknolojilere yönelik tutumun satın alma niyetine etkisini incelemek amaçlanmıştır. Araştırma kapsamında 353 veri çevrimiçi anket tekniği ile elde edilmiştir. Verilere ilk olarak AMOS programıyla Doğrulayıcı Faktör Analizi uygulanmış, daha sonra da Yol Analizi yapılmıştır. Analiz sonuçlarına göre; algılanan fayda ve algılanan parasal değerin giyilebilir teknolojilere yönelik tutum ve satın alma niyeti üzerinde pozitif ve anlamlı bir etkiye sahip olduğu sonucuna ulaşılmıştır.

Kaynakça

  • Afrouz, M. ve Wahl, T. (2019). ‘Watch Out’ for Wearables: Factors that influence the purchase intention of smartwatches in Germany, Jönköpıng University Master Thesis.
  • Ajzen, I. (1991). The Theory Of Planned Behavior. Organizational Behavior And Human Decision Processes, 50(2), 179-211.
  • Chae, J.M. (2009). Consumer Acceptance Model of Smart Clothing According To Innovation, International Journal of Human Ecology, 10(1), 23-33.
  • Chen, C. C. ve Shih, H. S. (2014). A Study of The Acceptance of Wearable Technology For Consumers-An Analytical Network Process Perspective, The International Symposium On The Analytic Hierarchy Process, Washington, D. C. June 29 -July 2, 2014.
  • Choi, J. And Kim, S. (2016). Is The Smartwatch An IT Product Or A Fashion Product? A Study On Factors Affecting The Intention To Use Smartwatches. Computers in Human Behavior(63), 777-786.
  • Cyr, D., Head, M. ve Ivanov, A. (2006). Design Aesthetics Leading To Loyalty In Mobile Commerce. Information And Management, 43, 950-963.
  • Daştan, İ. (2016). Time-Related Changes in the Purchasing Attitudes and Behaviors of Individuals: A Study on Wearable Technologies, Journal of Business Studies Quarterly, 7(3), 61-74.
  • Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, And User Acceptance of Information Technology, MIS Quarterly, September, 13(3), 319-340.
  • Dunne, L. E. (2004). The Design Of Wearable Technology: Addressing The Human-Device Interface Through Functional Apparel Design, Master’s Thesis.
  • Dunne, L. E., Ashdown, S. P. ve Smyth, B. (2005). Expanding Garment Functionality Through Embedded Electronic Technology. Journal of Textile and Apparel Technology and Management, 4, 1-11.
  • Eeuwen, M. V. (2017). Mobile Conversational Commerce: Messenger Chatbots As The Next Interface Between Businesses And Consumers, University Of Twente Student Thesis.
  • Hein, D.W. ve Rauschnabel, P.A. (2016). Augmented Reality Smart Glasses And Knowledge Management: A Conceptual Framework For Enterprise Social Networks, Enterprise Social Networks, pp.83–109, Springer, Fachmedien Wiesbaden.
  • Jeong, S.C., Byun, J.S. ve Jeong, Y.J. (2016).The Effect of User Experience and Perceived Similarity of Smartphone on Acceptance İntention For Smartwatch, ICIC Express Letters, 10(7), 1613–1619.
  • Jung, Y., Kim, S., ve Choi, B. (2016). Consumer Valuation Of Wearables: The Case Of Smartwatches. Computers in Human Behavior, 63, 899-905.
  • Kalantari, M. (2017). Consumers’ Adoption Of Wearable Technologies: Literature Review, Synthesis, And Future Research Agenda, Int. J. Technology Marketing, 12, (3),274-307.
  • Karagöz, Y. (2017). SPSS ve AMOS Uygulamalı Nitel-Nicel-Karma Bilimsel Araştırma Yöntemleri ve Yayın Etiği. 1. Baskı. Ankara: Nobel Yayıncılık.
  • Kartal, M. ve Bardakçı, S. (2018). SPSS ve AMOS Uygulamalı Örneklerle Güvenirlilik ve Geçerlilik Analizi. 1. Baskı. Ankara: Akademisyen Kitabevi.
  • Kim, H.W., Chan, H. C., ve Gupta, S. (2007). Value-Based Adoption Of Mobile İnternet: An Empirical İnvestigation. Decision Support Systems, 43(1), 111-126.
  • Kim, K.J. ve Shin, D.H. (2015) ‘An Acceptance Model For Smart Watches: İmplications For The Adoption of Future Wearable Technology’, Internet Research, 25(4)527–541.
  • Lee, H.M. (2009). A Study on the Acceptance of Wearable Computers based on the Extended Technology Acceptance Model, The Research Journal of the Costume Culture 17(6), 1155-1172.
  • Marangoz, M. ve Aydın, A.E. (2017). Tüketicilerin Giyilebilir Teknoloji Ürünlerini Benimsemesinde Etkili Olan Faktörler: Akıllı Saatler Üzerine Bir Araştırma, Pazarlama Teorisi Ve Uygulamaları Dergisi, 4(1), 1-20.
  • Morris, R. (2015). Wearable Technology: Fit, Fashion, Fun. Whitepaper, Onebeacon Technology Insurance.
  • Park, S., Chung, K. ve Jayaraman, S. (2014). Wearables: Fundamentals, Advancements, And A Roadmap For The Future, Wearable Sensors: Fundamentals, Implementation And Applications, 1–23.
  • Przegalinska, A.(2019). Wearable Technologies in Organizations: Privacy, Efficiency And Autonomy İn Work. London: Palgrave.
  • Punagin, S. ve Arya, A. (2015). Privacy İn The Age of Pervasive Internet And Big Data Analytics–Challenges And Opportunities. International Journal of Modern Education And Computer Science (IJMECS), 7(7), 36-47.
  • Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality: An International Journal, 15(6), 509-538.
  • Rauschnabel, P. A., Brem, A., ve Ivens, B. S. (2015). Who Will Buy Smart Glasses? Empirical Results of Two Pre-Market-Entry Studies On The Role of Personality in Individual Awareness And Intended Adoption Of Google Glass Wearables. Computers in Human Behavior, 49(8), 635-647.
  • Rauschnabel, P. A., ve Ro, Y. (2016). Augmented Reality Smart Glasses: An İnvestigation Of Technology Acceptance Drivers. International Journal of Technology Marketing, 11(2), 123-148.
  • Sultan, N. (2015). Reflective Thoughts On The Potential And Challenges Of Wearable Technology For Healthcare Provision And Medical Education. International Journal Of Information Management, 35(5), 521-526.
  • Tabachnick, B. G. ve Fidell, L. S. (2013). Using Multivariate Statistics. Boston, Pearson.
  • Tavşancıl, E. (2014). Tutumların Ölçülmesi ve SPSS İle Veri Analizi. 5. Baskı. Ankara: Nobel Yayıncılık.
  • Venkatesh, V., ve Davis, F. D. (1996). A Model Of The Antecedents Of Perceived Ease Of Use: Development And Test. Decision Sciences, 27(3), 451-481.
  • Wright, R. ve Keith, L. (2014) ‘Wearable Technology: If The Tech Fits, Wear İt’, Journal Of Electronic Resources İn Medical Libraries, 11(4), 204–216.
  • Wu, L.H., Wu, L.C. ve Chang, S.C. (2016). Exploring Consumers’ Intention To Accept Smartwatch. Computers In Human Behavior, 64, 383-392.
  • Yaşlıoğlu, M. M. (2017). Sosyal Bilimlerde Faktör Analizi ve Geçerlilik: Keşfedici ve Doğrulayıcı Faktör Analizlerinin Kullanılması, İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46,74-85.
  • Yemez, İ. ve Bardakçı, S. (2017). Sosyal Medya Reklamlarının Üniversite Öğrencilerinin Satın Alma Davranışına Etkisinin Yol Analizi İle İncelenmesi: Cumhuriyet Üniversitesi İİBF’de Bir Uygulama, International Peer-Reviewed Journal of Communication and Humanities Research, 15, 135-155.

THE EFFECT OF ATTITUDE TOWARDS WEARABLE TECHNOLOGIES IN THE CONTEXT OF TECHNOLOGY ACCEPTANCE MODEL ON PURCHASE INTENTION

Yıl 2022, Cilt: 9 Sayı: 1, 81 - 101, 23.03.2022
https://doi.org/10.30798/makuiibf.822680

Öz

Wearable technological devices have become more preferred since technological advances having a significant impact on almost all aspects of people's daily lives. Wearable technologies, also known as wearable products, can be defined as a category of electronic devices that can be worn as an accessory, embedded in clothing, worn on the user's body and even tattooed on the skin. After the invention of smartphones, wearable technologies are the next big innovation in the world of technology. At the same time, the growth of mobile networks, high-speed data transfer and microprocessors have enabled the development of this technology. While people make their lives significantly easier with wearable technologies, companies have recognized the importance of wearable devices' huge market and their business values. Therefore, in this study wearable technologies, which have a very important place in people's lives, were discussed and it was aimed to examine the effect of attitude towards wearable technologies on purchase intention in the context of technology acceptance model. Within the scope of the research, 353 data were obtained by online survey technique. Confirmatory Factor Analysis was applied to the data first with the AMOS program, and then Path Analysis was performed. According to the analysis results; It was concluded that perceived usefulness and perceived monetary value have a positive and significant effect on attitude towards wearable technologies and purchase intention.

Kaynakça

  • Afrouz, M. ve Wahl, T. (2019). ‘Watch Out’ for Wearables: Factors that influence the purchase intention of smartwatches in Germany, Jönköpıng University Master Thesis.
  • Ajzen, I. (1991). The Theory Of Planned Behavior. Organizational Behavior And Human Decision Processes, 50(2), 179-211.
  • Chae, J.M. (2009). Consumer Acceptance Model of Smart Clothing According To Innovation, International Journal of Human Ecology, 10(1), 23-33.
  • Chen, C. C. ve Shih, H. S. (2014). A Study of The Acceptance of Wearable Technology For Consumers-An Analytical Network Process Perspective, The International Symposium On The Analytic Hierarchy Process, Washington, D. C. June 29 -July 2, 2014.
  • Choi, J. And Kim, S. (2016). Is The Smartwatch An IT Product Or A Fashion Product? A Study On Factors Affecting The Intention To Use Smartwatches. Computers in Human Behavior(63), 777-786.
  • Cyr, D., Head, M. ve Ivanov, A. (2006). Design Aesthetics Leading To Loyalty In Mobile Commerce. Information And Management, 43, 950-963.
  • Daştan, İ. (2016). Time-Related Changes in the Purchasing Attitudes and Behaviors of Individuals: A Study on Wearable Technologies, Journal of Business Studies Quarterly, 7(3), 61-74.
  • Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, And User Acceptance of Information Technology, MIS Quarterly, September, 13(3), 319-340.
  • Dunne, L. E. (2004). The Design Of Wearable Technology: Addressing The Human-Device Interface Through Functional Apparel Design, Master’s Thesis.
  • Dunne, L. E., Ashdown, S. P. ve Smyth, B. (2005). Expanding Garment Functionality Through Embedded Electronic Technology. Journal of Textile and Apparel Technology and Management, 4, 1-11.
  • Eeuwen, M. V. (2017). Mobile Conversational Commerce: Messenger Chatbots As The Next Interface Between Businesses And Consumers, University Of Twente Student Thesis.
  • Hein, D.W. ve Rauschnabel, P.A. (2016). Augmented Reality Smart Glasses And Knowledge Management: A Conceptual Framework For Enterprise Social Networks, Enterprise Social Networks, pp.83–109, Springer, Fachmedien Wiesbaden.
  • Jeong, S.C., Byun, J.S. ve Jeong, Y.J. (2016).The Effect of User Experience and Perceived Similarity of Smartphone on Acceptance İntention For Smartwatch, ICIC Express Letters, 10(7), 1613–1619.
  • Jung, Y., Kim, S., ve Choi, B. (2016). Consumer Valuation Of Wearables: The Case Of Smartwatches. Computers in Human Behavior, 63, 899-905.
  • Kalantari, M. (2017). Consumers’ Adoption Of Wearable Technologies: Literature Review, Synthesis, And Future Research Agenda, Int. J. Technology Marketing, 12, (3),274-307.
  • Karagöz, Y. (2017). SPSS ve AMOS Uygulamalı Nitel-Nicel-Karma Bilimsel Araştırma Yöntemleri ve Yayın Etiği. 1. Baskı. Ankara: Nobel Yayıncılık.
  • Kartal, M. ve Bardakçı, S. (2018). SPSS ve AMOS Uygulamalı Örneklerle Güvenirlilik ve Geçerlilik Analizi. 1. Baskı. Ankara: Akademisyen Kitabevi.
  • Kim, H.W., Chan, H. C., ve Gupta, S. (2007). Value-Based Adoption Of Mobile İnternet: An Empirical İnvestigation. Decision Support Systems, 43(1), 111-126.
  • Kim, K.J. ve Shin, D.H. (2015) ‘An Acceptance Model For Smart Watches: İmplications For The Adoption of Future Wearable Technology’, Internet Research, 25(4)527–541.
  • Lee, H.M. (2009). A Study on the Acceptance of Wearable Computers based on the Extended Technology Acceptance Model, The Research Journal of the Costume Culture 17(6), 1155-1172.
  • Marangoz, M. ve Aydın, A.E. (2017). Tüketicilerin Giyilebilir Teknoloji Ürünlerini Benimsemesinde Etkili Olan Faktörler: Akıllı Saatler Üzerine Bir Araştırma, Pazarlama Teorisi Ve Uygulamaları Dergisi, 4(1), 1-20.
  • Morris, R. (2015). Wearable Technology: Fit, Fashion, Fun. Whitepaper, Onebeacon Technology Insurance.
  • Park, S., Chung, K. ve Jayaraman, S. (2014). Wearables: Fundamentals, Advancements, And A Roadmap For The Future, Wearable Sensors: Fundamentals, Implementation And Applications, 1–23.
  • Przegalinska, A.(2019). Wearable Technologies in Organizations: Privacy, Efficiency And Autonomy İn Work. London: Palgrave.
  • Punagin, S. ve Arya, A. (2015). Privacy İn The Age of Pervasive Internet And Big Data Analytics–Challenges And Opportunities. International Journal of Modern Education And Computer Science (IJMECS), 7(7), 36-47.
  • Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality: An International Journal, 15(6), 509-538.
  • Rauschnabel, P. A., Brem, A., ve Ivens, B. S. (2015). Who Will Buy Smart Glasses? Empirical Results of Two Pre-Market-Entry Studies On The Role of Personality in Individual Awareness And Intended Adoption Of Google Glass Wearables. Computers in Human Behavior, 49(8), 635-647.
  • Rauschnabel, P. A., ve Ro, Y. (2016). Augmented Reality Smart Glasses: An İnvestigation Of Technology Acceptance Drivers. International Journal of Technology Marketing, 11(2), 123-148.
  • Sultan, N. (2015). Reflective Thoughts On The Potential And Challenges Of Wearable Technology For Healthcare Provision And Medical Education. International Journal Of Information Management, 35(5), 521-526.
  • Tabachnick, B. G. ve Fidell, L. S. (2013). Using Multivariate Statistics. Boston, Pearson.
  • Tavşancıl, E. (2014). Tutumların Ölçülmesi ve SPSS İle Veri Analizi. 5. Baskı. Ankara: Nobel Yayıncılık.
  • Venkatesh, V., ve Davis, F. D. (1996). A Model Of The Antecedents Of Perceived Ease Of Use: Development And Test. Decision Sciences, 27(3), 451-481.
  • Wright, R. ve Keith, L. (2014) ‘Wearable Technology: If The Tech Fits, Wear İt’, Journal Of Electronic Resources İn Medical Libraries, 11(4), 204–216.
  • Wu, L.H., Wu, L.C. ve Chang, S.C. (2016). Exploring Consumers’ Intention To Accept Smartwatch. Computers In Human Behavior, 64, 383-392.
  • Yaşlıoğlu, M. M. (2017). Sosyal Bilimlerde Faktör Analizi ve Geçerlilik: Keşfedici ve Doğrulayıcı Faktör Analizlerinin Kullanılması, İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46,74-85.
  • Yemez, İ. ve Bardakçı, S. (2017). Sosyal Medya Reklamlarının Üniversite Öğrencilerinin Satın Alma Davranışına Etkisinin Yol Analizi İle İncelenmesi: Cumhuriyet Üniversitesi İİBF’de Bir Uygulama, International Peer-Reviewed Journal of Communication and Humanities Research, 15, 135-155.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makaleleri
Yazarlar

Şükran Karaca 0000-0002-0268-1810

Yayımlanma Tarihi 23 Mart 2022
Gönderilme Tarihi 6 Kasım 2020
Yayımlandığı Sayı Yıl 2022 Cilt: 9 Sayı: 1

Kaynak Göster

APA Karaca, Ş. (2022). TEKNOLOJİ KABUL MODELİ BAĞLAMINDA GİYİLEBİLİR TEKNOLOJİLERE YÖNELİK TUTUMUN SATIN ALMA NİYETİNE ETKİSİ. Mehmet Akif Ersoy Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 9(1), 81-101. https://doi.org/10.30798/makuiibf.822680