Bagaimana Peluang Pengguna E-commerce, E-banking dan Internet di Indonesia?

Authors

DOI:

https://doi.org/10.31685/kek.v4i3.755

Keywords:

e-commerce, e-banking, internet, Indonesia, logistic regression

Abstract

The use of information technology can accelerate the Sustainable Development Goals. Research on the use of information technology to reduce poverty, especially in Indonesia, is still very limited. Amid the issue of many conventional retail closings and a decline in people's purchasing power, e-commerce with the help of e-banking can survive in the market. Therefore, research is needed on the opportunity to use these three services from the demand side, namely households as the largest contributor to GDP. In this study using Susenas March 2017 data from BPS and logistic regression methods. The number of samples in this study was 926,218 individuals. The results showed that individuals with working characteristics, young age, owning cell phones, university graduates, using computers, living in Java and urban areas, and having per capita expenditure above the poverty line in urban districts have a greater chance of becoming users of all three services. Although the gap in users of the three services cannot be avoided, policies are needed to provide adequate and equitable infrastructure and increase digital literacy.

Author Biography

  • Muhammad Abrar, Badan Pusat Statistik
    Ekonomi Digital

References

Asosiasi Penyelenggara Jasa Internet Indonesia. (2017). Penetrasi dan Perilaku Pengguna Internet Indonesia. Jakarta: APJII.

Askar, P., Usluel, Y. K., & Mumcu, F. K. (2006). Logistic regression modelling for predicting task-related ICT use in teaching. Educational Technology & Society, 9(2), 141–151.

Astuti, N. C., & Nasution, R. A. (2014). Technology readiness and e-commerce adoption among entrepreneurs of SMEs in Bandung City, Indonesia. Gadjah Mada International Journal of Business, 16(1), 69-88.

Beckers, J., Cardenas, I., & Verhetsel, Ann. (2018). Identifying the geography of online shopping adoption in Belgium. Journal of Retailing and ConsumerService, 45(1), 33-41.

BPS. (2017a). Analisis Hasil Listing Sensus Ekonomi 2016. In BPS. Jakarta: Badan Pusat Statistik.

BPS. (2017b). Statistik Kesejahteraan Rakyat. Jakarta: Badan Pusat Statistik.

BPS. (2019). Statistik E-Commerce 2019. Jakarta: Badan Pusat Statistik.

Clarke, G., Thompson, C., dan Birkin, M. (2015). The emerging geography of e-commerce in British retailing. Reg. Stud, 2(1), 370-390.

Fonseca, J. R. (2014). e-banking culture: A comparison of EU 27 countries and Portuguese case in the EU 27 retail banking context. Journal of Retailing and Consumer Services, 21(5), 708-716.

Garín-Muñoz, T., López, R., Pérez-Amaral, T., Herguera, I., & Valarezo, A. (2019). Models for individual adoption of eCommerce, eBanking and eGovernment in Spain. Telecommunications Policy, 43(1), 100–111.

Hasyyati, A, N. (2017). Demographic and Soscioeconomic Characteristics of E-Commerce Users in Indonesia. ADBI Working Paper 776. Tokyo: Asian Development Bank Institute.

Hilbert, M. (2014). Technological information inequality as an incessantly moving target: the redistribution of information and communication capacities between 1986 and 2010. Journal of the Association for Information Science and Technology, 65(4), 821–835.

Hosmer, D.W dan S.Lemeshow. (2000). Applied Logistic Regression. 2nd Edition. New York: John Willey and Sons.

Kanbur, R., Rhee, C., & Zhuang, J. (2014). Inequality in Asia and the Pacific: trends, drivers, and policy implications. NewYork: Routledge.

Kanbur, R., & Venables, A.J. (2005). Spatial inequality and development. NewYork: Oxford University Press.

Kiiski, M., & Keskitalo, I. (2002). U.S. Patent No. 6,430,421. Washington, DC: U.S. Patent and Trademark Office.

Liao, Z., & Cheung, M. T. (2002). Internet-based e-banking and consumer attitudes: an empirical study. Information & Management, 39(4), 283-295.

Lubis, A. N. (2018). Evaluating The Customer Preference of Online Shopping: Demographic Factors and Online Shop Aplication Issue. Academy of Strategic Management Journal, 17(2) 1-13.

Mariscal, J. (2005). Digital divide in a developing country. Telecommunications policy, 29(5-6), 409-428.

Mossberger, K., Tolbert, J., & Stansbury, M. (2003). Virtual reality: beyond the digital divide. Washington: Georgetown University Press.

Norris, P. (2001). Digital divide: civic engagement, information poverty, and the Internet world wide. NewYork: Cambridge University Press.

Ono, H., & Zavodny, M. (2003). Gender and the Internet. Social Science Quarterly, 84(1), 111-121.

Owens, T. R., & Sarov, M. G. (2010). Determinats of Consumer Attitude Towards E-commerce. Issues in Political Economy, 19(1), 19–50.

Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Journal of Educational Technology & Society, 12(3), 150-162.

Quibria, M. G., Ahmed, S. N., Tschang, T., & Reyes-Macasaquit, M. L. (2003). Digital divide: Determinants and policies with special reference to Asia. Journal of Asian Economics, 13(6), 811-825.

Rao, P., & Holt, D. (2005). Do green supply chains lead to competitiveness and economic performance?. International journal of operations & production management, 25(9), 898-916.

Reddy, N. H., & Srinivas, A. (2015). Impact of Demographic Factors of Indian Consumers on Online Shopping Behaviour. International Journal of Accounting and Business Management, 3(1), 310-317.

Serener, B. (2016). Statistical analysis of internet banking usage with logistic regression. Procedia Computer Science, 102(1), 648–653.

Sujarwoto, S., & Tampubolon, G. (2016). Spatial inequality and the Internet divide in Indonesia 2010–2012. Telecommunications Policy, 40(7), 602–616.

Valarezo, Ã., Pérez-Amaral, T., Garín-Muñoz, T., García, I. H., & López, R. (2018). Drivers and barriers to cross-border e-commerce: Evidence from Spanish individual behavior. Telecommunications Policy, 42(6), 464-473.

Van Dijk, J. A. G. M. (2012). The evolution of the digital divide: The digital divide turns to inequality of skills and usage.Digital enlightenment yearbook, 57-75.

Varian, H. (2002). The demand for bandwidth: Evidence from the INDEX experiment. Washington DC: AEI-Brookings Joint Centre for Regulatory Studies.

Yahya, S. (2019). Faktor-faktor yang Mempengaruhi Individu Untuk Berbelanja Online di Indonesia: Analisis Data Susenas 2017 (UGM).

Yusmita, F., Mat, N.K.N., Muhammad, M.U., Yusoff, Y.M., Azhar, F., dan Behjati, S. 2012. Determinants of Online Purchasing Behavior in Nanggroe Aceh Darussalam. American Journal of Econommics. Special Issue: 153-157.

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Published

2021-07-23

Issue

Vol. 4 No. 3 (2020)

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