MOBİL BANKACILIK UYGULAMALARININ BENİMSENMESİNE YÖNELİK DAVRANIŞSAL NİYETLERİ ETKİLEYEN FAKTÖRLER ÜZERİNE BİR ARAŞTIRMA

Year 2017, Volume: 5 Issue: 3, 25 - 58, 31.12.2017

Kadir Kurt , Aykut Hamit Turan

https://doi.org/10.22139/jobs.343053

Abstract

Amaç: Bu çalışmada, mobil
bankacılık uygulamalarının benimsenme oranının oldukça yüksek seviyelerde
olduğu Türkiye’de, bu olumlu tablonun oluşmasında etkisi olabilecek faktörlerin
tespit edilmesi amaçlanmıştır. Bu doğrultuda, çalışma kapsamında yürütülen
anket çalışması, hali hazırda mobil bankacılık uygulamalarını kullanan
bireylere uygulanmıştır.

Yöntem: Çalışmada nicel araştırma yöntemi tercih edilmiş, oluşturulan
araştırma modelinde yer alan değişkenlere ait ifadeler beşli likert tipi
ölçekler aracılığıyla anket formu şeklinde katılımcıların değerlendirmesine
sunulmuştur. Eksik veya tutarsız anketler değerlendirme dışı bırakıldıktan
sonra nihai olarak 280 anket değerlendirmeye alınmıştır.

Bulgular: Çalışmada, performans beklentisi, kolaylaştırıcı
şartlar, kişisel yenilikçilik ve güven değişkenlerinin bireylerin mobil
bankacılık uygulamalarının benimsenmesine yönelik davranışsal niyetlerini
anlamlı bir şekilde etkilediği ortaya çıkartılmıştır. Çaba beklentisi ve sosyal
etki değişkenlerinin ise niyet üzerinde anlamlı bir etkisi bulunamamıştır.

Sonuç: Kullanıcıların mobil bankacılık uygulamaları ile
bankacılık işlemlerini daha hızlı ve verimli bir şekilde gerçekleştirmeleri,
uygulamaları kullanmak için gerekli bilgi ve imkânlara sahip olmaları, yeni
teknolojileri deneme konusundaki isteklilikleri ve mobil bankacılığa duydukları
güven, mobil bankacılık uygulamalarının benimsenmesini etkileyen en önemli faktörler
olarak ön plana çıkmıştır.

Keywords

Mobil bankacılık kabulü ve kullanımı, Davranışsal niyet temelli teoriler, Anket Çalışması

References

• Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 370-387.
• Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 204-215.
• Ajzen, I. (1991). The Theory of Planned Behavior. Orgnizational Behavior and Human Decision Processes, 179-211.
• Ajzen, I., & J.Madden, T. (1986). Prediction of Goal-Directed Behavior : Attitudes , Intentions , and Perceived Behavioral Control. Journal of Experimental Social Psychology.
• Aktaş, S. (2007). Teknoloji Kabul Modeli ile Muhasebecilerin Bilgi Teknolojisi Kullanımına Yönelik Bir Uygulama. Yüksek Lisans Tezi. Gebze: Gebze Yüksek Teknoloji Enstitüsü, Sosyal Bilimler Enstitüsü.
• Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence & Planning, 30(4), 444-459.
• Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 99-110.
• Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan Examining. Journal of Enterprise Information Management, 29(1), 118-139.
• Alavi, S., & Ahuja, V. (2016). An Empirical Segmentation of Users of Mobile Banking Apps. Journal of Internet Commerce, 15(4), 390-407.
• Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2012). Sosyal Bilimlerde Araştırma Yöntemleri. Sakarya: Sakarya Yayıncılık.
• Bankole, F. O., Bankole, O. O., & Brown, I. (2011). Mobile banking adoption in Nigeria. Electronic Journal on Information Systems in Developing Countries.
• Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 418-430.
• Belousova, V., & Chichkanov, N. (2015). Mobile Banking in Russia:User Intention towards Adoption. Innovation and Economy, 26-39.
• Bhatiasevi, V. (2015). An extended UTAUT model to explain the adoption of mobile banking. Information Development.
• Capgemini Consulting, Technology & EFMA. (2016). World Retail Banking Report 2016.
• Changchun, G., Haider, M. J., & Akram, T. (2017). Investigation of the Effects of Task Technology Fit, Attitude and Trust on Intention to Adopt Mobile Banking: Placing the Mediating Role of Trialability. International Business Research.
• Chaouali, W., Souiden, N., & Ladhari, R. (2017). Explaining adoption of mobile banking with the theory of trying, general self-confidence, and cynicism. Journal of Retailing and Consumer Services, 57-67.
• Chitungo, S., & Munongo, S. (2013). Extending the Technology Acceptance Model to Mobile Banking Adoption in Rural Zimbabwe. Journal of Business Administration and Education, 51-79.
• Crabbe, M., Standing, C., Standing, S., & Karjaluoto, H. (2009). An adoption model for mobile banking in Ghana. International Journal of Mobile Communications, 515-541.
• Çakıcı, S. (2008). Adoption of Mobile Banking Services in Turkey. Yüksek Lisans Tezi. İstanbul: Marmara Üniversitesi, Sosyal Bilimler Enstitüsü.
• Çetin, A. S. (2014). Factors Affecting Customer Satisfaction And Loyalty in Mobile Banking in Turkey. Yüksek Lisans Tezi. İstanbul: Boğaziçi Üniversitesi, Sosyal Bilimler Enstitüsü.
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology : a Comparison of Two Theoretical Models. Management Science, 982-1003.
• Dineshwar, R., & Steven, M. (2013). An Investigation on Mobile Banking Adoption and Usage: A Case Study of Mauritius. Proceedings of 3rd Asia-Pacific Business Research Conference, (s. 1-21). Kuala Lumpur.
• Erdem, H. K. (2011). Kurumsal Kaynak Planlama Sistemlerinin Kullanımında Etkili Olan Faktörlerin Genişletilmiş Teknoloji Kabul Modeli İle İncelenmesi. Doktora Tezi. İstanbul: İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü.
• Erdoğan, Z. (2014). Technology Roadmap for Kuveyt Turk Mobile Banking. Yüksek Lisans Tezi. İstanbul: Doğuş Üniversitesi, Bilim ve Teknoloji Enstitüsü.
• Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 11605-11616.
• Gürbüz, S., & Şahin, F. (2016). Sosyal Bilimlerde Araştırma Yöntemleri. Ankara: Seçkin Yayıncılık.
• Hanafizadeh, P., Behboudi, M., Abedini Koshksaray, A., & Jalilvand Shirkhani Tabar, M. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 62-78.
• Hsiao, C. H., & Yang, C. (2011). The intellectual development of the technology acceptance model: A co-citation analysis. International Journal of Information Management.
• Karahanna, E., & Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of-use. Information & Management, 237-250.
• Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 283-311.
• Koenig‐Lewis, N., Palmer, A., & Moll, A. (2010). Predicting young consumers' take up of mobile banking services. International Journal of Bank Marketing, 410-432.
• Köksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 237-346.
• Laukkanen, T. (2005). Comparing Consumer Value Creation in Internet and Mobile Banking. Proceedings of the International Conference on Mobile Business, (s. 655-658).
• Laukkanen, T., Sinkkonen, S., Kivijärvi, M., & Laukkanen, P. (2007). Innovation resistance among mature consumers. Journal of Consumer Marketing, 419-427.
• Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 873-891.
• Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 222-234.
• Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action. Personality and social psychology Bulletin, 3-9.
• Malaquias, R. F., & Hwang, Y. (2016). An empirical study on trust in mobile banking: A developing country perspective. Computers in Human Behavior, 453-461.
• Mehrad, D., & Mohammadi, S. (2016). Word of Mouth impact on the adoption of mobile banking in Iran. Telematics and Informatics.
• Mohammadi, H. (2015). A study of mobile banking loyalty in Iran. Computers in Human Behavior.
• Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information and Management, 217-230.
• Muñoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing - ESIC, 25-38.
• Nakip, M. (2016). Pazarlama Araştırmaları: Teknikler ve (SPSS Destekli) Uygulamalar, Ankara: Seçkin Yayıncılık. Ankara.
• Oliviera, T., Faria, M., Thomas, A., & Popovic, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 689-703.
• Özdamar, K. (2004). K. Özdamar içinde, Paket Programlar ile İstatistiksel Veri Analiz (s. 97-125).
• Pousttchi, K., & Schurig, M. (2004). Assessment of Today’s Mobile Banking Applications from the View of Customer Requirements. Proceeding of the 37th Hawaii International Conference on System Sciences, (s. 1-10).
• Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing, 328-341.
• Rogers, E. M. (1983). Diffusion of innovations (3rd Edition). Newyork: Macmillian Publishing Co.
• Saeed, K. A. (2011). Understanding the Adoption of Mobile Banking Services : An Empirical Assessment. AMCIS 2011 Proceedings-All Submissions. Paper 5.
• Sekaran, U., & Bougie, R. (2009). Research Methods For Business. Wiley Publications.
• Sulaiman, A., Jaafar, N. I., & Mohezar, S. (2007). An overview of mobile banking adoption among the urban community. International Journal of Mobile Communications.
• Survey, I. I. (2015). The rise of mobile banking and the changing face of payments in the digital age. ING Bank.
• Survey, I. I. (2016). World on the move for mobile banking. ING Bank.
• TBB. (2016). Türkiye Bankalar Birliği. İnternet ve Mobil Bankacılık İstatistikleri.
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 273-315.
• Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science.
• Venkatesh, V., Davis, G. B., Davis, F. D., & Morris, M. G. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 425-478.
• Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and user of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178.
• Verrecchia, M. (2016, Eylül). Mobile Banking Adoption : An exploration of the behavioural intention of consumers in Ireland. İrlanda.
• Vupa, Ö., & Alma, Ö. G. (2008). Doğrusal regresyon Çözümlemesinde Çoklu Bağlantı Probleminin Sapan Değer İçeren Küçük Örneklemlerde İncelenmesi. Selçuk Üniversitesi Fen-Edebiyat Fakültesi Dergisi, 97-107.
• Wang, Y.-S., Wang, Y.-M., Lin, H.-H., & Tang, T.-I. (2003). Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management, 501-519.
• Witeepanich, C., Emklang, N., Matsmak, J., Kanokviriyasanti, P., & Chanvarasuth, P. (2013). Understanding the Adoption of Mobile Banking Services : an Empirical Study. Proceedings of the 4th International Conference on Engineering, Project, and Production Management.
• www.btk.gov.tr. (2017). Bİlgi Teknolojileri ve İletişim Kurumu. İletişim İstatistikleri.
• Yu, C.-S. (2012). Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the UTAUT Model. Journal of Electronic Commerce Research, 104-121.
• Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 527-540.
• Zhou, T. (2012). Examining mobile banking user adoption from the perspectives of trust and flow experience. Information Technology and Management, 27-37.
• Zhou, T. (2012). Understanding users' initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 1518-1525.
• Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 760-767.