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

Selen Seyhun , Günay Kurtuldu

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.

Keywords

Mobile Shopping Applications, Extended Technology Acceptance Model, Technology Acceptance Model, Adoption, Satisfaction

GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİ BAĞLAMINDA MOBİL ALIŞVERİŞ UYGULAMALARININ BENİMSENMESİNİ ETKİLEYEN FAKTÖRLER

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.

Keywords

Mobil Alışveriş Uygulamaları, Genişletilmiş Teknoloji Kabul Modeli, Teknoloji Kabul Modeli, Benimseme, Tatmin

References

• Agarwal, R. ve Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9 (2), 204-215.
• 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.
• Klein, M. (2014). Mobil pazarlama - Sınıflandırma önerisi ve pazarlama karması üzerine etkileri. Journal of Management, Marketing and Logistics, 1 (3), 276-285.
• Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling. New York: The Guilford Press.
• Koçak Alan, A., Tümer Kabadayı, E. ve Topaloğlu, A. K. (2018). Tüketicileri mobil alışverişe yönlendiren faktörlerin incelenmesi. Doğuş Üniversitesi Dergisi, 19 (2), 75-94.
• Kubaş, A., Yılmaz, R., Güt, A. ve Baloğlu, S. (2016). Tekirdağ İlinde bulunan tüketicilerin internet üzerinden satınalma yaklaşımlarının analizi. Social Sciences Research Journal, 5 (4), 12-29.
• Kurtuldu, G. (2016). Uluslararası marka ittifaklarında tüketicilerin algıladığı uyum ile tüketicilerin algıladığı etnosentrik eğilimlerinin ve değerlerinin satın alma niyeti ile etkileşimi, (Yayımlanmış Doktora Tezi). İstanbul Üniversitesi, İstanbul.
• Kushawa, G. S. ve Agrawal, S. R. (2016). The impact of mobile marketing initiatives on customers’ attitudes and behavioural outcomes. Journal of Research in Interactive Marketing, 10 (3), 150-176.
• Leong, L.-Y., Ooi, K.-B., Chong, A. Y.-L. ve Lin, B. (2013). Modeling the stimulators of the behavioral intention to use mobile entertainment: Does gender really matter?. Computers in Human Behavior, 29 (5), 2109-2121.
• Leong, L.-Y., Hew, T.-S., Tan, G. W.-H. ve Ooi, K.-B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A Neural Networks Approach. Expert Systems with Applications,40 (14), 5604-5620.
• Liao, C.-H., Tsou, C.-W. ve Huang, M.-F. (2007). Factors influencing the usage of 3G mobile services in Taiwan. Online Information Review, 31 (6), 759-774.
• Lin, C.-Y., Fang, K. ve Tu, C.-C. (2010). Predicting consumer repurchase intentions to shop online. Journal of Computers, 5 (10), 1527-1533.
• Lu, H.-P. ve Su, P. Y.-J. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19(4), 442-458.
• Madan, K. ve Yadav, R. (2018). Understanding and predicting antecedents of mobile shopping adoption: A developing country perspective. Asia Pacific Journal of Marketing and Logistics, 30 (1), 139-162.
• McWherter, J. ve Gowell, S. (2012). Professional Mobile Application Development. Indianapolis, Indiana: John Wiley&Sons Inc.
• MMA. (2009). "MMA Updates Definition of Mobile Marketing", https://www.mmaglobal.com/news/mma-updates-definition-mobile-marketing (Erişim tarihi: 08 Aralık 2018).
• Moon, J.-W. ve Kim, Y.-G. (2001). Extending the TAM for a world wide web context. Information & Management, 38 (4), 217-230.
• Natarajan, T., Balasubramanian, S. A. ve Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services, 37, 8-22.
• Natarajan, T., Balasubramanian, S. A. ve Kasilingam, D. L. (2018). The moderating role of device type and age of users on the intention to use mobile shopping applications. Technology in Society, 53, 79-90.
• Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decision. Journal of Marketing Research, 17 (4), 460-469.
• Phonthanukitithaworn, C., Sellitto, C. ve Fong, M. W. (2016). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8 (1), 37-54.
• Rogers, E. M. (2003). Diffusion of Innovations. New York: The Free Press.
• Scherer, R. F., Luther, D. C., Wiebe, F.A. ve Adams, J.S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Reports, 62 (3), 763-770.
• Shang, D. ve Wu, W. (2017). Understanding mobile shopping consumers' continuance intention. Industrial Management & Data Systems, 117 (1), 213-227.
• Smutkupt, P., Krairit, D. ve Esichaikul, V. (2010). Mobile marketing: Implications for marketing strategies. International Journal of Mobile Marketing,5 (2), 126-139.
• Tao, Y.-H., Cheng, C.-J. ve Sun, S.-Y. (2009). What influences college students to continue using business simulation games? The Taiwan experience. Computers & Education, 53 (3), 929-939.
• Tan, G. W.-H., Ooi, K.-B., Chong, S.-C. ve Hew, T.-S. (2014). NFC mobile credit card: The next frontier of mobile payment?. Telematics and Informatics,31 (2), 292-307.
• Tavşancıl, E. (2014). Tutumların ölçülmesi ve SPSS ile veri analizi. Ankara: Nobel Yayın Dağıtım.
• Varnali, K. ve Toker, A. (2010). Mobile marketing research: The-state-of-the-art. International Journal of Information Management, 30 (2), 144-151.
• 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.
• Venkatesh, V. ve 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. ve Davis, F. D. (2003). User acceptance of information technology. MIS Quarterly, 27 (3), 425-478.
• Venkatesh, V. ve Bala, H. (2008). Technology Acceptance Model 3 and research agenda on interventions. Decision Sciences, 39 (2), 273-315.
• Wei, T. T., Marthandan, G., Chong, A. Y.-L., Ooi, K.-B. ve Arumugam, S. (2009). What drives Malaysian m-commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3), 370-388.
• Wen, C., Prybutok, V. R. ve Xu, C. (2011). An integrated model for customer online repurchase intention. Journal of Computer Information Systems, 52(1), 14-23.
• Wong, C. H., Lee, H. S., Lim, Y. H., Chua, B. H. ve Tan, G. W. H. (2012). Predicting the consumers' intention to adopt mobile shopping: An emerging market perspective. International Journal of Network and Mobile Technologies, 3 (3), 24-39.
• Wong, C.-H., Tan, G. W.-H., Ooi, K.-B. ve Lin, B. (2015). Mobile shopping: The next frontier of the shopping industry? An emerging market perspective. International Journal of Mobile Communications, 13 (1), 92-112.
• Wu, J.-H. ve Wang, S.-C. (2005). What drives mobile commerce? An empirical evaluation of the Revised Technology Acceptance Model. Information & Management, 42 (5), 719-729.
• Wu, C. S., Cheng, F. F., Yen, D. C. ve Huang, Y. W. (2011). User acceptance of wireless technology in organizations: A comparison of alternative models. Computer Standards & Interfaces, 33, 50-58.
• Yang, H. C. (2013). Bon appétit for apps: Young American Consumers' acceptance of mobile applications. Journal of Computer Information Systems, 53 (3), 85-96.
• Yaprakli, T. S., Kacer, Z. ve Unalan, M. (2018). Factors influencing the usage of mobile shopping applications and the impact of these factors on satisfaction and intention to use. PressAcademia Procedia (PAP),7, 306-310.
• Yıldız, O. (2018). Mobil aplikasyonlar yoluyla alışverişin tüketiciler tarafından benimsenmesini etkileyen unsurların belirlenmesi: İstanbul’da bir saha çalışması, (Yayımlanmış Doktora Tezi). Gebze Teknik Üniversitesi, Gebze.
• Yılmaz, C. ve Tümtürk, A. (2015). İnternet üzerinden alışveriş niyetini etkileyen faktörlerin Genişletilmiş Teknoloji Kabul Modeli kullanarak incelenmesi ve bir model önerisi. Yönetim ve Ekonomi, 22 (2), 355-384.