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FACTORS AFFECTING THE ADOPTION OF MOBILE SHOPPING APPLICATIONS IN THE CONTEXT OF EXTENDED TECHNOLOGY ACCEPTANCE MODEL

Year 2020, Volume: 22 Issue: 1, 599 - 627, 30.06.2020

Abstract

Mobile shopping applications offered in the context of mobile shopping activities are used intensively by consumers. In this respect, determining the factors that affect consumers’ decision to use these applications will enable businesses to develop these applications in line with the needs of consumers’. Accordingly, in this study, it is aimed to examine the factors affecting the adoption of mobile shopping applications by consumers. Within the scope of the study, an extended Technology Acceptance Model (TAM) is obtained by adding perceived enjoyment, innovativeness, trust and satisfaction variables to the Technology Acceptance Model and the resulting model is evaluated. Data were collected by using convenience sampling method and conducting face to face surveys method. The data obtained were analyzed by using exploratory factor analysis, reliability analysis, confirmatory factor analysis and structural equation modeling. As a result of the research, it was found that satisfaction variable is positively affected by perceived usefulness, innovativeness and trust variables; in addition, perceived usefulness, satisfaction, innovativeness and trust variables positively influences the behavioral intention variable.

References

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GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER

Year 2020, Volume: 22 Issue: 1, 599 - 627, 30.06.2020

Abstract

Mobil pazarlama faaliyetleri kapsamında sunulan mobil alışveriş uygulamaları, tüketiciler tarafından yoğun olarak kullanılmaktadır. Bu bakımdan, tüketicilerin mobil alışveriş uygulamalarını kullanma kararı vermelerini etkileyen faktörlerin belirlenmesi, işletmelerin söz konusu uygulamaları tüketicilerin ihtiyaçlarına uygun olarak geliştirebilmelerine imkan sağlayacaktır. Bu doğrultuda, bu çalışmada, tüketicilerin mobil alışveriş uygulamalarını benimsemelerini etkileyen faktörlerin incelenmesi amaçlanmaktadır. Çalışma kapsamında, Teknoloji Kabul Modeli (TKM)’ne algılanan eğlence, yenilikçilik, güven ve tatmin değişkenleri eklenerek genişletilmiş bir Teknoloji Kabul Modeli elde edilmekte ve oluşan model değerlendirilmektedir. Çalışmada, kolayda örnekleme ve yüz yüze anket yöntemleri ile veri toplanmıştır. Elde edilen veriler; keşfedici faktör analizi, güvenilirlik analizi, doğrulayıcı faktör analizi ve yapısal eşitlik modellemesi kullanılarak analiz edilmiştir. Araştırma sonucunda, tatmin değişkeninin algılanan fayda, yenilikçilik ve güven değişkenleri tarafından pozitif şekilde etkilendiği; ayrıca algılanan fayda, tatmin, yenilikçilik ve güven değişkenlerinin davranışsal niyet değişkenini pozitif olarak etkilediği tespit edilmiştir.

References

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  • Agrebi, S. ve Jallais, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of Retailing and Consumer Services, 22, 16-23.
  • Aldas-Manzano, J., Ruiz-Mafe, C. ve Sanz-Blas, S. (2009). Exploring individual personality factors as drivers of m-shopping acceptance. Industrial Management & Data Systems, 109 (6), 739-757.
  • Al-Gahtani, S. S. ve King, M. (1999). Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology. Behaviour & Information Technology, 18 (4), 277-297.
  • Anderson, R. E. ve Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework. Psychology & Marketing, 20 (2), 123-138.
  • Arslan, İ. K. ve Arslan, P. (2012). Mobil Pazarlama-Solomo. İstanbul: Papatya Yayıncılık.
  • Barutçu, S. (2008). "Mobil Pazarlama", Güncel Pazarlama Yaklaşımlarından Seçmeler. der. İ. Varinli ve K. Çatı, Ankara: Detay Yayıncılık.
  • Barutçu, S. ve Öztürk Göl, M. (2009). Mobil Reklamlar ve Mobil Reklam Araçlarına Yönelik Tutumlar. KMU İİBF Dergisi,11 (17), 24-41.
  • Bauer, H. H., Barnes, S. J., Reichardt, T. ve Neumann, M. M. (2005). Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study. Journal of Electronic Commerce Research,6 (3), 181-192.
  • Bayram, N. (2015). Sosyal Bilimlerde SPSS ile Veri Analizi. Bursa: Ezgi Kitabevi.
  • Bellman, S., Potter, R. F., Treleaven-Hassard, S., Robinson, J. A. ve Varan, D. (2011). The effectiveness of branded mobile phone apps. Journal of Interactive Marketing,25 (4), 191-200.
  • Bozkurt, F. ve Ergen, A. (2012). Pazarlama iletişiminde yeni bir mobil pazarlama aracı: 2 boyutlu barkodlar. Pazarlama ve Pazarlama Araştırmaları Dergisi, 5 (9), 43-64.
  • BTK. (2018). "Türkiye Elektronik Haberleşme Sektörü Pazar Verileri Raporu 2018 Yılı 4.Çeyrek".https://www.btk.gov.tr/uploads/pages/pazar-verileri/2018-q4.pdf (Erişim tarihi: 22 Ağustos 2019).
  • Büyüköztürk, Ş. (2016). Sosyal Bilimler İçin Veri Analizi El Kitabı. Ankara: Pegem Akademi.
  • Chen, Y.-Y. (2012). Why do consumers go internet shopping again? Understanding the antecedents of repurchase intention. Journal of Organizational Computing and Electronic Commerce, 22 (1), 38-63.
  • Chen, L. Y. (2013). Antecedents of customer satisfaction and purchase intention with mobile shopping system use. International Journal of Services and Operations Management, 15 (3), 259-274.
  • Chen, L., Gillenson, M. L. ve Sherrell, D. L. (2002). Enticing online consumers: An extended technology acceptance perspective. Information & Management, 39 (8), 705-719.
  • Chen, Y.-M., Hsu, T.-H. ve Lu, Y.-J. (2018). Impact of flow on mobile shopping intention. Journal of Retailing and Consumer Services, 41, 281-287.
  • Chiu, C.-M., Lin, H.-Y., Sun, S.-Y. ve Hsu, M.-H. (2009). Understanding customers' loyalty intentions towards online shopping: An integration of Technology Acceptance Model and Fairness Theory. Behavior & Information Technology, 28 (4), 347-360.
  • Chiu, C.-M., Chang, C.-C., Cheng, H.-L. ve Fang, Y.-H. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33 (4), 761-784.
  • Chong, A. Y.-L. (2013). A Two-Staged SEM-Neural Network Approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40 (4), 1240-1247.
  • Davis, F. D. (1986). A Technology Acceptance Model for empirically testing new end-user informationsSystems: Theory and results, (Yayımlanmış Doktora Tezi). Massachusetts Institute of Technology, Massachusetts.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-340.
  • Davis, F. D. ve Venkatesh, V. (1996). A critical assessment of potential measurement biases in the Technology Acceptance Model: Three experiments. International Journal of Human-Computer Studies,45 (1), 19-45.
  • Davis, F. D., Bagozzi, R. P. ve Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35 (8), 982-1003.
  • Davis, F. D., Bagozzi, R. P. ve Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22 (14), 1111-1132.
  • Dickinger, A., Haghirian, P., Murphy, J. ve Scharl, A. (2004). An investigation and conceptual model of SMS marketing. Proceedings of the 37th Hawaii International Conference on System Sciences, (1-10). Hawai.
  • Fishbein, M. ve Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, Massachusetts: Addison-Wesley Publishing Company.
  • Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28 (6), 725-737.
  • Gefen, D., Karahanna, E. ve Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27 (1), 51-90.
  • Groß, M. (2015). Exploring the acceptance of technology for mobile shopping: An empirical investigation among smartphone users. The Traditional Review of Retail, Distribution and Consumer Research, 25 (3), 215-235.
  • Groß, M. (2018). Heterogeneity in consumers’ mobile shopping acceptance: A Finite Mixture Partial Least Squares Modelling Approach for exploring and characterising different shopper segments. Journal of Retailing and Consumer Services, 40, 8-18.
  • GSMA. (2019). "The Mobile Economy", https://www.gsmaintelligence.com/research/?file=b9a6e6202ee1d5f787cfebb95d3639c5&download (Erişim tarihi: 22 Ağustos 2019).
  • Gümüşsoy, Ç. A. ve Yeterel, A. C. (2016). Fırsat sitelerinden tekrar satın alma kararını etkileyen faktörlerin araştırılması. Bilişim Teknolojileri Dergisi,9 (3), 275-284.
  • Ha, S. ve Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a Technology Acceptance Model. Journal of Business Research,62 (5), 565-571.
  • Hair, J. F., Black, W. C., Babin, B. J. ve Anderson, R. E. (2010). Multivariate Data Analysis. Harlow, England: Pearson Education Limited.
  • Hopkins, J. ve Turner, J. (2012). Go Mobile: Location-Based Marketing, Apps, Mobile Optimized Ad Campaigns, 2D Codes and Other Mobile Strategies to Grow Your Business. Hoboken, New Jersey: John Wiley&Sons Inc.
  • Im, J. Y. ve Hancer, M. (2014). Shaping travelers' attitude toward travel mobile applications. Journal of Hospitality and Tourism Technology, 5 (2), 177-193.
  • Islam, M. R., Islam, M. R. ve Mazumder, T. A. (2010). Mobile application and its global impact. International Journal of Engineering & Technology, 10 (6), 72-78.
  • Kamarulzaman, Y. (2007). Adoption of travel e-shopping in the UK. International Journal of Retail & Distribution Management, 35(9), 703-719.
  • Kim, J. ve Forsythe, S. (2008). Adoption of virtual try-on technology for online apparel shopping. Journal of Interactive Marketing, 22 (2), 45-59.
  • Kim, C., Mirusmonov, M. ve Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26 (3), 310-322.
  • Kim, S. ve Baek, T. H. (2018). Examining the antecedents and consequences of mobile app engagement. Telematics and Informatics, 35 (1), 148-158.
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There are 84 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Selen Seyhun 0000-0002-3181-5451

Günay Kurtuldu 0000-0003-2964-3010

Publication Date June 30, 2020
Published in Issue Year 2020 Volume: 22 Issue: 1

Cite

APA Seyhun, S., & Kurtuldu, G. (2020). GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER. Trakya Üniversitesi Sosyal Bilimler Dergisi, 22(1), 599-627.
AMA Seyhun S, Kurtuldu G. GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER. Trakya Üniversitesi Sosyal Bilimler Dergisi. June 2020;22(1):599-627.
Chicago Seyhun, Selen, and Günay Kurtuldu. “GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER”. Trakya Üniversitesi Sosyal Bilimler Dergisi 22, no. 1 (June 2020): 599-627.
EndNote Seyhun S, Kurtuldu G (June 1, 2020) GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER. Trakya Üniversitesi Sosyal Bilimler Dergisi 22 1 599–627.
IEEE S. Seyhun and G. Kurtuldu, “GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER”, Trakya Üniversitesi Sosyal Bilimler Dergisi, vol. 22, no. 1, pp. 599–627, 2020.
ISNAD Seyhun, Selen - Kurtuldu, Günay. “GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER”. Trakya Üniversitesi Sosyal Bilimler Dergisi 22/1 (June 2020), 599-627.
JAMA Seyhun S, Kurtuldu G. GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER. Trakya Üniversitesi Sosyal Bilimler Dergisi. 2020;22:599–627.
MLA Seyhun, Selen and Günay Kurtuldu. “GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER”. Trakya Üniversitesi Sosyal Bilimler Dergisi, vol. 22, no. 1, 2020, pp. 599-27.
Vancouver Seyhun S, Kurtuldu G. GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER. Trakya Üniversitesi Sosyal Bilimler Dergisi. 2020;22(1):599-627.
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