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Genişletilmiş UTAUT2 perspektifi - mobil bankacılık kullanım niyeti ve davranışının belirleyicileri

Year 2021, , 207 - 227, 08.01.2021
https://doi.org/10.25287/ohuiibf.734288

Abstract

Tüketicilerin teknolojiyi kullanma niyeti ve kullanma davranışlarının belirleyicilerinin neler olduğunun ortaya konulması ile ilgili farklı teorik modeller bulunmaktadır. Birleştirilmiş teknoloji kabul ve kullanma teorisi-2 (BTKKT-2) modeli tüketiciyi merkeze alan bir model arayışında, davranış niyeti ve teknoloji kullanımı değişkenlerindeki varyansı, açıklamaktadır. Bu araştırma; Türkiye bağlamında bireylerin mobil bankacılık kullanma niyetlerinin ve kullanma davranışlarının belirleyicilerini ve etkilerini ortaya koymayı amaçlar. Araştırmanın verileri, 2018 yılı Nisan-Haziran ayları içerisinde 18 yaş ve üzerinde bulunan 684 katılımcıdan elde edilmiştir. Araştırma sonucunda mobil bankacılık kullanma davranış niyetini; güven, performans beklentisi, sosyal etki, kolaylaştırıcı şartlar, fiyat değeri ve alışkanlıkların etkilediği, alışkanlıklar ve güvenin hem kullanma davranışını hem de davranış niyetinde etkisinin olduğu saptanmıştır. Ayrıca, güven ile yaşın, hedonik motivasyon ile yaşın davranış niyeti, alışkanlıklar ile yaşın ise kullanma davranışında moderatör etkisi belirlenmiştir. Mobil bankacılığı kullanma davranış niyeti ile kullanma davranışı arasında ise anlamlı bir ilişki bulunmamıştır.

References

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  • Alalwan, AA., Dwivedi, YK. and Rana, NP. (2017). “Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust”, International Journal of Information Management, Vol. 37, No. 3, pp.99-110.
  • Alalwan, AA., Dwivedi, YK., Rana, NP. And Williams, MD. (2016). “Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy”, Journal of Enterprise Information Management, Vol. 29, No. 1, pp.118-139.
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  • Alnawas, I. and Aburub, F. (2016). “The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions”, Journal of Retailing and Consumer Services, No.31, pp.313-322.
  • Baptista G. and Oliveira, T. (2017). “Why so serious? Gamification impact in the acceptance of mobile banking services”, Internet Research, Vol.27, No. 1, pp.118 – 139.
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An extended UTAUT2 perspective - determinants of mobile banking use intention and use behavior

Year 2021, , 207 - 227, 08.01.2021
https://doi.org/10.25287/ohuiibf.734288

Abstract

There are different theoretical models regarding the determinants of consumers’ intention to use technology and their use behavior. The Unified theory of acceptance and use of technology-2 (UTAUT-2) model explains the variance in behavioral intention and technology use variables in pursuit of a consumer-centric model. This research study aims to figure out the determinants and impacts of individuals’ intention to use mobile banking and their use behaviors within the context of Turkey. The data of the study was obtained from 684 participants aged 18 years or older in April-June 2018 via an online survey method. Findings of the research study reveal that the behavioral intention of using mobile banking is influenced by trust, social influence, price value, facilitating conditions, performance expectancy, and habit; whereas habit and trust affect both use behavior and behavioral intention. Furthermore, moderator impacts of trust and age as well as hedonic motivation and age on behavioral intention, whereas moderator impacts of habits and age on use behavior are determined. No significant relationship is found between the behavioral intention of using mobile banking and the use behavior.

References

  • Ajzen, I. (1991). “The theory of planned behavior”. Organizational Behavior and Human Decision Processes, Vol. 50, No. 2, pp.179-211.
  • Ajzen, I. and Fishbein, M. (2005). “The influence of attitudes on behavior”, in Albarracín, D., Johnson, B.T. and Zanna M. P. (Eds.), The Handbook of Attitudes, Mahwah, Erlbaum NJ, pp.173-221.
  • Akturan, U. and Tezcan, N. (2012). “Mobile banking adoption of the youth market: Perceptions and intentions”, Marketing Intelligence & Planning, Vol. 30, No.4, pp.444-459
  • Alalwan, AA., Dwivedi, YK. and Rana, NP. (2017). “Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust”, International Journal of Information Management, Vol. 37, No. 3, pp.99-110.
  • Alalwan, AA., Dwivedi, YK., Rana, NP. And Williams, MD. (2016). “Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy”, Journal of Enterprise Information Management, Vol. 29, No. 1, pp.118-139.
  • Alalwan, AA., Dwivedi, YK., Rana, NP., Lal, B. and Williams, MD. (2015). “Consumer adoption of Internet banking in Jordan: examining the role of hedonic motivation, habit, self-efficacy and trust”, Journal of Financial Services Marketing, Vol.20, No.2, pp.145-157.
  • Albashrawi, MA. (2017). Understanding Mobile Banking Usage Behavior: a Multi Model Perspective, University of Massachusetts Lowell, ProQuest Dissertations Publishing, 10614303.
  • Alnawas, I. and Aburub, F. (2016). “The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions”, Journal of Retailing and Consumer Services, No.31, pp.313-322.
  • Baptista G. and Oliveira, T. (2017). “Why so serious? Gamification impact in the acceptance of mobile banking services”, Internet Research, Vol.27, No. 1, pp.118 – 139.
  • Baptista, G. and Oliveira, T. (2015). “Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators”, Computers in Human Behavior, Vol. 50, pp.418-430.
  • Bhatiasevi, V. (2015). “An extended UTAUT model to explain the adoption of mobile banking”, Information Development, Vol.32, No. 4, pp.799-814.
  • Byrne, B.M. (2010). Structural Equation Modeling With AMOS: Basic Concepts, Applications, And Programming (2nd ed.), Taylor & Francis Group, New York London.
  • Chiu, CM., Hsu, MH. and Wang, ET. (2006). “Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories”, Decision support systems, Vol.42, No.3, pp.1872-1888.
  • Chung, N. and Kwon, SJ. (2009). “Effect of trust level on mobile banking satisfaction: a multi-group analysis of information system success instruments”, Behaviour & Information Technology, Vol. 28, No.6, pp.549-562.
  • Criteo, (2015). “State of mobile commerce. Cross-device shopping starts and ends on mobil, Q3”, available at: http://www.criteo.com/media/3099/criteo-state-of-mobile-commerce-q3-2015-es.pdf. (accessed 20 July 2018)
  • Crosby, LA., Evans, KR. and Cowles, D. (1990). “Relationship quality in services selling: an interpersonal influence perspective”, The Journal of Marketing, Vol. 54, No.3, pp.68-81.
  • Davis, FD. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, Vol. 13, No.3, pp.319-340.
  • Delone, W. and Mclean, ER. (2003). “The delone and mclean model of ınformation systems success: a ten-year update”, Journal of Management Information Systems, Vol.19, No.4, pp.9-30.
  • DeVellis, R. F. (2014). Ölçek Geliştirme, T. Totan, (çev.), Nobel Yayıncılık, Ankara.
  • Dineshwar, R. and Steven, M. (2013). “An investigation on mobile banking adoption and usage: a case study of Mauritius”, In Proceedings of 3rd Asia-Pacific Business Research Conference, February, pp. 25-39.
  • Dwivedi, YK., Rana, NP., Chen, H. and Williams, MD. (2011). A meta-analysis of the unified theory of acceptance and use of technology (UTAUT). In IFIP International Working Conference on Governance and Sustainability in Information Systems-Managing the Transfer and Diffusion of it Springer, Berlin, Heidelberg, September, pp. 155-170.
  • Fukuyama, F. (1995). Trust: The Social Virtues and The Creation of Prosperity (Free Press Paperbacks, Free Press, New York, pp.84-87.
  • Gefen, D., Karahanna, E. and Straub, DW. (2003). “Trust and TAM in online shopping: an integrated model”, MIS Quarterly, Vol.27, No.1, pp.51-90.
  • Gerrard, P., Barton Cunningham, J. and Devlin, JF. (2006). “Why consumers are not using internet banking: a qualitative study”, Journal of Services Marketing, Vol.20, No.3, pp.160-168.
  • Gu, J. C., Lee, S C. and Suh, YH. (2009). “Determinants of behavioral intention to mobile banking”, Expert Systems with Applications, Vol.36, No.9, pp.11605-11616.
  • Gürses, F. (2016). “Türkiye’de Yerel Yönetimlerde Yöneticiler ve Vatandaşlar Perspektifinden e-Devlet’in Benimsenmesi: Bursa Büyükşehir Belediyesi Örneği”, Doktora Tezi, Uludağ Üniversitesi Sosyal Bilimler Enstitüsü.
  • Hall, D. and Mansfield, R. (1975). “Relationships of age and seniority with career variables of engineers and scientists”, Journal of Applied Psychology, Vol. 60, No.3, pp.201-210.
  • Hanafizadeh, P., Behboudi, M., Koshksaray, AA. and Tabar, MJS. (2014). “Mobile-banking adoption by Iranian bank clients”, Telematics and Informatics, Vol.31, No.1, pp.31-56.
  • Hasher, L. and Zacks, RT. (1979). “Automatic and effortful processes in memory”, Journal of Experimental Psychology: General, Vol.108, No.3, pp.356-388.
  • Hu, LT. and Bentler, PM. (1999). “Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives”, Structural Equation Modeling: a Multidisciplinary Journal, Vol.6, No.1, pp.1-55.
  • Jaruwachirathanakul, B. and Fink, D. (2005). “Internet banking adoption strategies for a developing country: the case of Thailand”, Internet research, 15(3), 295-311.
  • Jennings, JM. and Jacoby, LL. (1993). “Automatic versus intentional uses of memory: aging, attention, and control”, Psychology and Aging, Vol.8, No.2, pp.283-293.
  • Kesari, B. and Atulkar, S. (2016). “Satisfaction of mall shoppers: A study on perceived utilitarian and hedonic shopping values”, Journal of Retailing and Consumer Services, No.31, pp.22-31.
  • Kim, G., Shin, B. and Lee, HG. (2009). “Understanding dynamics between initial trust and usage intentions of mobile banking”, Information Systems Journal, Vol. 19, No.3, pp.283-311.
  • Kline, RB. (2011). Principles and Practice of Structural Equation Modeling (4th edt.), Guilford Publications, Inc, New York.
  • Koenig-Lewis, N., Palmer, A. and Moll, A. (2010). “Predicting young consumers’ take up of mobile banking services”, International Journal of Bank Marketing, Vol.28, No.5, pp.410-432.
  • Köksal, MH. (2016). “The intentions of lebanese consumers to adopt mobile banking”, International Journal of Bank Marketing, Vol.34, No.3, pp.327-346.
  • Kurt, K. and Turan, AH. (2017). “Mobil bankacılık uygulamalarının benimsenmesine yönelik davranışsal niyetleri etkileyen faktörler üzerine bir araştırma”, İşletme Bilimi Dergisi, Vol.5, No.3, pp.25-58.
  • Lee, T. and Jun, J. (2005). “Contextual perceived usefulness? Toward an understanding of mobile commerce acceptance”, in Mobile Business, ICMB, International Conference on IEEE, July, pp. 255-261.
  • Limayem, M., Hirt, SG. and Cheung, CM. (2007). “How habit limits the predictive power of intention: The case of information systems continuance”, MIS Quarterly, Vol.31, No.4, pp.705-737.
  • Lin, F., Fofanah, SS. and Liang, D. (2011). “Assessing citizen adoption of e-Government initiatives in Gambia: a validation of the technology acceptance model in information systems success”, Government Information Quarterly, Vol.28, No.2, pp.271-279.
  • Luarn, P. and Lin, HH. (2005). “Toward an understanding of the behavioral intention to use mobile banking”, Computers in Human Behavior, Vol.21, No.6, pp.873-891.
  • Luo, X., Li, H., Zhang, J. and Shim, JP. (2010). “Examining multi-dimensional trust and multifaceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services”, Decision Support Systems, Vol. 49, No.2, pp.222-234.
  • Lustig, C., Konkel, A. and Jacoby, LL. (2004). “Which route to recovery?”, Psychological Science, Vol.15, No. 11, pp.729-735.
  • Malaquias, RF. and Hwang, Y. (2016). “An empirical study on trust in mobile banking: a developing country perspective”, Computers in Human Behavior, Vol.54, pp.453-461.
  • Martins, C., Oliveira, T. and Popovič, A. (2014). “Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application”, International Journal of Information Management, Vol.34, No.1, pp.1-13.
  • Morris, MG., Venkatesh, V. and Ackerman, PL. (2005). “Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior”, IEEE Transactions on Engineering Management, Vol.52, No. 1, pp.69-84
  • Muñoz-Leiva, F., Climent-Climent, S. and 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, Vol.21, No.1, pp.25-38.
  • Negahban, A. and Chung, CH. (2014). “Discovering determinants of users perception of mobile device functionality fit”, Computers in Human Behavior, Vol.35, pp.75-84.
  • Özecan, M. (2018). “Factors Affectıng Mobile Banking Usage Intention, User Satisfaction and Word-of-Mouth Intention”, Yayınlanmamış Doktora Tezi, İstanbul Bilgi Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
  • Plude, DJ. And Hoyer, WJ. (1985). “Attention and performance: identifying and localizing age deficits”, in Charnessi N. (Ed.), Aging and Human Performance Wiley, London, pp. 47-99.
  • Posner, RA. (1996). Aging and Old Age, University of Chicago Press, Chicago.
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There are 71 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Hatice Elanur Kaplan 0000-0002-4722-3434

Esen Gürbüz 0000-0001-5156-1439

Publication Date January 8, 2021
Submission Date May 8, 2020
Acceptance Date October 6, 2020
Published in Issue Year 2021

Cite

APA Kaplan, H. E., & Gürbüz, E. (2021). An extended UTAUT2 perspective - determinants of mobile banking use intention and use behavior. Ömer Halisdemir Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 14(1), 207-227. https://doi.org/10.25287/ohuiibf.734288
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