Faktor-Faktor yang Mempengaruhi Sikap dan Intensi Pengurus Koperasi Untuk Menggunakan Platform Layanan Keuangan Digital di Kota Bandung
DOI:
https://doi.org/10.32832/jm-uika.v10i2.2572Keywords:
Persepsi Kegunaan, Persepsi Kemudahan, Pengetahuan, Kepercayaan, Persepsi Risiko, Sikap, Intensi, Partial Least Square (PLS), Koperasi, DigitalAbstract
This study aims to analyze the factors that influence the attitudes and intentions of Indonesian cooperatives, especially in the city of Bandung in using digital financial service platform. The test conducted in this study is to examine the relationship between Perceived Usefulness, Perceived Ease of Use, Knowledge, Trust and Perceived Risk on Attitudes and Intentions, which are tested partially and simultaneously. The method of analysis of this research uses quantitative and qualitative approaches in the form of descriptive - verification. Hypothesis testing uses Partial Least Square (PLS) analysis with a sample of 100 respondents from 70 cooperatives conducting savings and loan activities in the city of Bandung. The results of the analysis of research data indicate that Knowledge and Trust have a significant positive effect on Attitude and Intention. Perception of Use only has a significant positive effect on attitude. While Perception of Ease and Risk does not have a significant positive effect on Attitude and Intention. The results indicate that Knowledge and Trust have a significant positive effect on Attitude and Intention. Perceived Usefulness only has a significant positive effect on Attitude. While Perceived Ease of Use and Risk does not have a significant positive effect on both Attitude and Intention. Simultaneously all variables X explain 77.9% of Attitude and 86.5% of Intention.
References
Abrahao, R., Moriguchi, S. N., & Andrade, D. F. (2016). Intention of Adoption of Mobile Payment: An Analysis in The Light of The Unified Theory of Acceptance and Use of Technology (UTAUT). RAI Revista de Administração e Inovação 13, 221-230.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, vol. 50, no. 2, 179-211.
Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs: Prentice-Hall.
Ammar, Anwar., & Elsadig Musa Ahmed (2015). “Factors influencing Sudanese microfinance intention to adopt mobile banking”
Bicena, Huseyin., & Saide Sadikoglub (2016). “Determination of the opinions of students on Tourism impact using Mobile Applications”
Boonsiritomachai, Waranpong., Krittipat Pitchayadejanant (2017). “Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept”
Capgemini. (2018). Cloud Native Comes of Age in Banking. Capgemini. Retrieved from Capgemini Website.
Dahnil, M. I. (2014). Factors Influencing SMEs Adoption of Social Media Marketing. Procedia - Social and Behavioral Sciences, 148, 119–126.
Davis, F. D., Bagozzi, R., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, vol. 35, no. 8, 982–1003.
Dinev, T., & Hu, Q. (2007). The Centrality of Awareness in the Formation of User Behavioral Intention toward Protective Information Technologies. Journal of The Association for Information Systems, Volume 8, Issue 7, Article 2, 386-408.
Engel, J.F,. Miniard, PW & Blackwell, RD (2005) Consumer Behavior 10th edition, South-Western College Publisher.
Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA:Addison- Wesley.
Ganesan, S. (1994). “Determinants of long-term orientation in buyer-seller relationships,” Journal of Marketing, 58, pp. 1-19.
Ghani, Mazuri Abd., et al. (2017). “Adoption of Internet Banking: Extending the Role of Technology Acceptance Model (TAM) with E-Customer Service and Customer Satisfaction”.
Kotler, Philip & Keller, Kevin (2012). Marketing Management, 14th ed, Prentice Hall, Pearson Education, Upper Saddle River, New Jersey.
Leimer, B. (2014). So what is FinTech? National Digital Research Centre.
Leiva, F. M., Climent, S. C., & Cabanillas, F. L. (2016). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing 21 (1), 25-38.
Lewicka, D. (2011). Creating Innovative Attitudes in an Organisation – Comparative Analysis of Tools Applied in IBM Poland and ZPAS Group. Journal of Asia Pacific Business Innovation & Technology Management, Vol. 1, No. 1, 1-12.
Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 27(4), 657-678.
Maharidho, Tito Wahyu., Andi Tri Haryono & Eko Hadi Wahyono (2018). “Pengaruh Technology Acceptance Model (TAM) Terhadap Corporate Credibility dan Behavioral Intention Pada Aplikasi Streaming Musik Spotify”
Makanyeza, C. (2017). Determinants of Consumers’ Intention to Adopt Mobile Banking Services in Zimbabwe. International Journal of Bank Marketing, Vol 35 (6), 997-1017.
McKinsey Global Institute. (2016). Digital Finance For All: Powering Inclusive Growth In Emerging Economies. McKinsey Global Institute.
Munoz-Leiva, F., S. Climent-Climent, & F. Liébana-Cabanillas (2016). “Determinants of intention to use the mobile banking apps: An extension of the classic TAM model”.
Peansupap, V., & Walker, D. (2005). Exploratory factors influencing information and communication technology diffusion and adoption within Australian construction organizations: A micro analysis. Construction Innovation, 5(3), 135-157.
Peter, J.P & Olson, J.C. (2009). Consumer Behavior and Marketing Strategy 2. 9rd Edition.
Phuaa, Peng Lin., Su Luan Wongb & Rosini Abub (2012). “Factors influencing the behavioural intention to use the internet as a teaching-learning tool in home economics”
Pitchayadejanant, K., & Waranpong, B. (2017). Determinant affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept. Kasetsart Journal of Social sciences.
Prasetyo, Dwi Yuli., Kusrini, Andi Sunyoto (2012). “Analisis Penerapan Sistem Report Center dengan Metode Technology Acceptance Model Pada Koperasi Di Yogyakarta”
Razak, Abdul. (2013), “Faktor-Faktor yang Mempengaruhi Behavioral Intention Nasabah untuk Menggunakan Layanan Mobile Banking Di Sulawesi Selatan”.
Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). New York: Free Press.
Rogers, E. M., & Beal, G. M. (1960). The Adoption of Two Farm Practices In a Central Iowa Community. Department of Economics and Sociology.
Talukder, M., & Quazi, A. (2011). The impact of social influence on individuals’ adoption of innovation. Journal of Organizational Computing and Electronic Commerce, 21(2), 111-135.
Tatik Suryati (2013). Perilaku Konsumen Di Era Internet, Graha Ilmu, Jogjakarta
Taylor, S. and Todd, P.A. (1995). “Understanding information technology usage: a test of competing models”, Information Systems Research, Vol. 6, No. 2, pp 144-176.
Venkatesh, V., & Davis, F. (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., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, vol. 27, no. 3, 425-478.
Wamai, John., & John M. Kandiri (2015). “Determinants of Mobile Banking Adoption by Customers of Microfinance Institutions in Nairobi County in Kenya”.
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