Journals / Bilişim Teknolojileri Dergisi / 2020 / Cilt: 13 - Sayı: 4

A Technology Acceptance Based Approach To Digital Banking Use

Dijital Bankacılık Kullanımına Teknoloji Kabulü Temelli Bir Yaklaşım

Pages
401–410
Publication Date
2020-10-30
DOI
—
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AI Summary & Key Takeaways

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

The contribution of this study is to determine the factors affecting the spread of technology.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The use of technological tools, machines, software and developing facilities among the masses has increased in the present conditions where technology has developed and spread much faster than previous centuries.
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Key Findings & Data:There ise a noteworthy increase in the number of people using digital banking in Turkey.
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Conclusion & Impact:The contribution of this study is to determine the factors affecting the spread of technology.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Finance in information systems · technology acceptance model · digital banking

Abstract

The use of technological tools, machines, software and developing facilities among the masses has increased in the present conditions where technology has developed and spread much faster than previous centuries. Digital banking is also considered as one of these technological tools. There ise a noteworthy increase in the number of people using digital banking in Turkey. Knowing the factors affecting this increase can speed up the process. In this study, the effect of personal innovation on digital banking use was investigated through Technology Acceptance Model and the predicted effects were tested using Structural Equation Modeling with data collected from 302 people who actively use digital banking. Individuals' level of personal innovation has an indirect effect on digital banking usage, perceived ease of use, perceived usefulness and intention to use, respectively. Demographic variables such as age, educational level and income level also had a managing effect on these effects. Gender has a differentiating effect on all variables. The contribution of this study is to determine the factors affecting the spread of technology.

Özet

Teknolojinin önceki yüzyıllara göre çok daha hızlı geliştiği ve yayıldığı günümüz şartlarında, teknolojik araçların, makinelerin, yazılımların ve gelişen imkânların kitleler arasında kullanımı da artış göstermiştir. Dijital bankacılık da bu teknolojik araçlardan birisi olarak kabul edilmektedir. Türkiye’de dijital bankacılık kullanan kişi sayısında son yıllarda kayda değer bir artış gerçekleşmiştir. Bu artışı etkileyen faktörlerin bilinmesi süreci hızlandırabilir. Çalışmada bireysel yenilikçiliğin dijital bankacılık kullanımına etkisi, Teknoloji Kabul Modeli üzerinden araştırılmış ve öngörülen etkiler, dijital bankacılığı aktif olarak kullanan toplam 302 kişiden toplanan verilerle, Yapısal Eşitlik Modellemesi kullanılarak test edilmiştir. Kişilerin bireysel yenilikçilik düzeyinin dijital bankacılık kullanımlarına sırasıyla algılanan kullanım kolaylığı, algılanan kullanışlılık-kullanma niyeti üzerinden dolaylı bir etkisinin olduğu görülmüştür. Yaş, eğitim durumu ve gelir durumu gibi demografik değişkenlerin de bu etkiler üzerinde yönetici etkisi olduğu saptanmıştır. Cinsiyet ise tüm değişkenler üzerinde farklılaştırıcı bir etkiye sahiptir. Bu çalışmanın katkısı, teknolojinin yayılmasında etki eden faktörlerin belirlenmesi olmuştur.

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Cite This Article

ESEN, F. S. (2020). A Technology Acceptance Based Approach To Digital Banking Use. Bilişim Teknolojileri Dergisi, Cilt: 13 - Sayı: 4, 401–410. https://ajindex.com/articles/251713

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References (14)

  1. Internet: Türkiye Bankalar Birliği-Bankalarımız, Aralık 2018 Raporu, https://www.tbb.org.tr/Content/Upload/istatistikiraporlar /ekler/1151/Bankalarimiz_2018.pdf, 10.08.2019. Internet: Türkiye Bankalar Birliği Dijital, İnternet ve Mobil Bankacılık İstatistikleri Aralık 2018 Raporu, https://www.tbb.org.tr/ Content/Upload/istatistikiraporlar/ekler/1108/Dijital-Internet-Mobil_ Bankacilik_Istatistikleri-Aralik_2018.pdf, 10.08.2019.
  2. I. Ajzen, From intentions to actions: A theory of planned behavior Action control, Springer, ABD, 1985.
  3. F. D. Davis, A technology acceptance model for empirically testing new end-user information systems: Theory and results, Doktora Tezi, Massachusetts Institute of Technology, 1986.
  4. F. D. Davis, V. Venkatesh, “A critical assessment of potential measurement biases in the technology acceptance model: Three experiments.”, International Journal of Human Computer Studies, 45(1), 19–45, 1996.
  5. E. B. Diop, S. Zhao, T. Van Duy, “An extension of the technology acceptance model for understanding travelers’ adoption of variable message signs”, PLOS one, 14(4), 112-126, 2019.
  6. V. Venkatesh, H. Bala, "Technology Acceptance Model 3 and a Research Agenda on Interventions", Decision Sciences, 39(2), 273–315, 2008.
  7. V. Venkatesh, F. D. Davis, "A theoretical extension of the technology acceptance model: Four longitudinal field studies", Management Science, 46(2), 186–204, 2000.
  8. Jr. L. Robinson, G. W. Marshall, M. B. Stamps, “Sales force use of technology: antecedents to technology acceptance”, Journal of Business Research, 58(12), 1623-1631, 2005.
  9. R. Agarwal, J. Prasad, “A conceptual and operational definition of personal innovativeness in the domain of information technology”. Information systems research, 9(2), 204-219, 1998.
  10. F. D. Davis, R. P. Bagozzi ve P. R. Warshaw, “User acceptance of computer technology: A comparison of two theoretical models”, Management science, 35(8), 982- 1002, 1989.
  11. I. Ajzen, M. Fishbein, Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ, ABD, 1980.
  12. J. Lu, J. E. Yao, C. S. Yu, “Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology” The Journal of Strategic Information Systems, 14(3), 245-268, 2005.
  13. R. Walczuch, J. Lemmink, S. Streukens, “The effect of service employees’ technology readiness on technology acceptance”, Information & Management, 44(2), 206-215, 2007.
  14. O. Nov, C. Ye, “Personality and technology acceptance: Personal inn