MODELLING THE DECISION TO USE BNI KCP JUWANA BNI CUSTOMERS WITH TECHNOLOGY ACCEPTANCE MODEL
Abstract
Keywords: perceived ease of use, perceived usefulness, attitudes toward using m-banking, decision to use m-banking
References
Ahn, J. (2019). Cognitive antecedents and affective consequences of customers’ self-concept in brand management: A conceptual model. International Journal of Contemporary Hospitality Management, 31(5), 2114–2128. https://doi.org/10.1108/IJCHM-09-2018-0712
Artanti, Y., Hari Prasetyo, F., & Sulistyowati, R. (2019). How Social Media Marketing Influences Online Purchasing Decision: Study of the Viral Marketing and Perceived Ease of Use. 3rd ICEEBA International Conference on Economics, Education, Business and Accounting, 3(11), 988. https://doi.org/10.18502/kss.v3i11.4066
Ashfaq, M., Yun, J., Waheed, A., Khan, M. S., & Farrukh, M. (2019). Customers’ Expectation, Satisfaction, and Repurchase Intention of Used Products Online: Empirical Evidence From China. SAGE Open, 9(2). https://doi.org/10.1177/2158244019846212
Budu, K. W. A., Yinping, M., & Mireku, K. K. (2018). Investigating The Effect of Behavioral Intention on E-learning Systems Usage: Empirical Study on Tertiary Education Institutions in Ghana. Mediterranean Journal of Social Sciences, 9(3), 201–216. https://doi.org/10.2478/mjss-2018-0062
Cho, Y. C., & Sagynov, E. (2015). Exploring Factors That Affect Usefulness ,. International Journal of Management & Information Systems, 19(1), 21–56.
Davis, F.D, Bagozzi, R. P., & Warshaw, P. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. International Journal Management Machine Studies, 35(8), 982–1003.
Davis, Fred D. (1993). User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts. International Journal of Management-Machine Studies, 38(2).
Dixit, R. V., & Prakash, G. (2018). Intentions to Use Social Networking Sites (SNS) Using Technology Acceptance Model (TAM). Paradigm, 22(1), 65–79. https://doi.org/10.1177/0971890718758201
Ghozali, I. (2014). Model Persamaan Struktural: Konsep dan Aplikasi dengan Program AMOS 22.0. Semarang: Badan Penerbit Universitas Diponegoro Semarang.
Hair, J., Black, W. C., Babin, J. B., & Andreson, R. E. (2014). Multivariate Data Analysis. In Neuromarketing in India: Understanding the Indian Consumer (7th ed.). Harlow: Pearson Education Limited. https://doi.org/10.4324/9781351269360
Harhap, R. S. P. (2016). Faktor-Faktor Yang Mempengaruhi Keputusan Nasabah Menabung di Bank Muamalat Cabang Balai Kota Medan. Jurnal Al-Qasd, 9(1), 18–28. https://doi.org/10.9744/jak.9.1.pp.18-28
Jainudin, N. A., Jugah, I., Ali, A. N. A., & Tawie, R. (2017). The acceptance of green technology: A case study in Sabah Development Corridor. AIP Conference Proceedings, 1875(August 2017). https://doi.org/10.1063/1.4998372
Kerem, K. (2003). Adoption of Electronis Banking: Underlying Consumer behaviour and Critical Success Factors. Case of Estonia. PRAXIS Center for Policy Studie, 7(1).
Nugroho, Y. A. (2009). the Effect of Perceived Ease of Use, Perceive of Usefulness, Perceive Risk and Trust Towards Behavior Intention in Transaction By Internet. Business and Entrepreneurial Review, 9(1), 79. https://doi.org/10.25105/ber.v9i1.26
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding students’ behavioral intention to use e-learning. International Forum of Educational Technology & Society (IFETS), 12(1), 8–12. https://doi.org/10.1109/IIAI-AAI.2014.14
Saji, T. G., & Paul, D. (2018). Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model. Metamorphosis: A Journal of Management Research, 17(2), 111–119. https://doi.org/10.1177/0972622518792802
Shroff, R. H., Deneen, C. C., & Ng, E. M. W. (2011). Analysis of the technology acceptance model in examining students’ behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27(4), 600–618. https://doi.org/10.14742/ajet.940
Sugiyono. (2013). Metode Penelitian Pendidikan : Kuantitatif Kualitatif dan R & D. Bandung: Alfabeta.
Surendran, P. (2013). Technology Acceptance Model: A Survey of Literature. International Journal of Business and Social Research, 2(4), 175–178. https://doi.org/10.18533/ijbsr.v2i4.161
Virvilaite, R., Tumasonyte, D., & Sliburyte, L. (2015). The Influence of Word of Mouth Communication on Brand Equity: Receiver Perspectives. Procedia - Social and Behavioral Sciences, 21(3), 641–646. https://doi.org/10.1016/j.sbspro.2015.11.465
Wu, S., Ren, M., Pitafi, A. H., & Islam, T. (2020). Self-Image Congruence, Functional Congruence, and Mobile App Intention to Use. Mobile Information Systems, 8(2). https://doi.org/10.1155/2020/5125238
DOI: http://dx.doi.org/10.29040/jap.v23i2.6906
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