SavedAdd your journal

Journals / Sakarya İktisat Dergisi / 2021 / Cilt: 10 - Sayı: 1

EXAMINATION OF CONSUMERS’ INTENTION TO USE TOWARDS SMART MIRROR SYSTEMS WITHIN FRAMEWORK OF TECHNOLOGY ACCEPTANCE MODEL

TÜKETİCİLERİN AKILLI AYNA KULLANMAYA YÖNELİK NİYETLERİNİN TEKNOLOJİ KABUL MODELİ ÇERÇEVESİNDE İNCELENMESİ

Esra AKSOY
Buket BORA SEMİZ
Pages
25–35
Publication Date
2021-04-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Another finding is that the perceived usefulness in the relationship between subjective norms and intention to use is a full mediating effect.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to examine the factors that affect the intention to use smart mirror systems within the framework of technology acceptance model (TAM).
📊
Key Findings & Data:Thus, data was collected between May 28 and June 10, 2020 by adopting via convenience sampling method with a survey through Google forms in social media environments with different demographic characteristics.
💡
Conclusion & Impact:Another finding is that the perceived usefulness in the relationship between subjective norms and intention to use is a full mediating effect.
🔬Design:Survey & Empirical Study
📍Scope:2020 Verileri
⚙️Variables:Teknoloji kabul modeli 2 · akıllı ayna · kullanıma yönelik niyet

Özet

The aim of this study is to examine the factors that affect the intention to use smart mirror systems within the framework of technology acceptance model (TAM). Thus, data was collected between May 28 and June 10, 2020 by adopting via convenience sampling method with a survey through Google forms in social media environments with different demographic characteristics. A total of 430 questionnaires were filled out, and after the unsuitable ones were eliminated, analyzes over 346 questionnaires were carried out using SPSS, SPSS Process and AMOS programs. According to the findings, it was determined that subjective norms, perceived usefulness and perceived ease of use were related to intention to use smart mirrors. In addition, subjective norms and perceived ease of use were found to be related to perceived usefulness. Another finding is that the perceived usefulness in the relationship between subjective norms and intention to use is a full mediating effect.

🔖

Cite This Article

AKSOY, E., SEMİZ, B. B. (2021). EXAMINATION OF CONSUMERS’ INTENTION TO USE TOWARDS SMART MIRROR SYSTEMS WITHIN FRAMEWORK OF TECHNOLOGY ACCEPTANCE MODEL. Sakarya İktisat Dergisi, Cilt: 10 - Sayı: 1, 25–35. https://ajindex.com/articles/841050

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. AJZEN, I. and FISHBEIN, M. (1980). Understanding Attitudes and Predicting Social Behaviour, Prentice-Hall, Englewood Cliffs, NJ. AL-GAHTANI, S.S. and KING, M. (1999).
  2. Attitudes, Satisfaction and Usage: Factors Contributing to Each in The Acceptance of Information Technology. Behaviour & Information Technology, 18(4), 277-297.
  3. BAGOZZI, R.P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8 (4), 243-254.
  4. BAYRAM, N. (2010). Yapısal Eşitlik Modellemesine Giriş Amos Uygulamaları. Ezgi Kitabevi.
  5. DAVIS, F. D., BAGOZZI, R. P. and WARSHAW, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35 (8), 982-1003.
  6. DAVIS, F.D., BAGOZZI, R.P. and WARSHAW, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22 (14), 1111–1132.
  7. DAVIS, F. D. (1993). User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts, International Journal of Man-Machine Studies,38 (3), 475-487.
  8. FIELD, A. (2000). Discovering Statics using SPSS for Windows. London, Thousand Oaks, New Delhi: Sage Pubs. FORNELL, C. and LARCKER, D.F. (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res, 18(1), 39–50.
  9. GELDMACHER, W., GRAB, B. and KOMPALLA, A. (2019). Derivation Of A Modified Technology Acceptance Model For The Application On Self-Driving Cars In A Car-Sharing-Model Based On Qualitative Research. Ecoforum Journal, 8(1). KAYMAK, B. (2016). Mağazacılığın Bugünü: Ralph Lauren’in Akıllı Giyinme Odaları. https://pazarlamasyon.com/magazaciligin-bugunu-ralph-laurenin-akilli-giyinme-odalari/. Access Date: 19.04.2020.
  10. KO, E., KIM, E. Y., and LEE, E. K. (2009). Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology & Marketing, 26(7), 669–687.
  11. LEE, Y., KOZAR, K. A., and LARSEN, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 752-780.
  12. OBEIDY, W. K., ARSHAD, H. and HUANG, J. Y. (2017). An acceptance model for smart glasses based tourism augmented reality. In AIP conference proceedings, 1891 (1), 020080:1-6,
  13. AIP Publishing LLC. RAUSCHNABEL, P. A., and RO, Y. K. (2016). Augmented reality smart glasses: An investigation of technology acceptance drivers. International Journal of