Indonesian Demand for Online Shopping: Revisited

Syarifudin Yahya; Prof. Catur Sugiyanto, M.A. Ph.D

doi:10.22146/jieb.55358

Indonesian Demand for Online Shopping: Revisited

https://doi.org/10.22146/jieb.55358

Syarifudin Yahya⁽¹⁾, Prof. Catur Sugiyanto, M.A. Ph.D^(2*)

(1) BPS Staf, Jl Dr Sutomo nà 5-8, Pasar Baru, Kec. Sawah Besar, Kota Jakarta Pusat, DKI, 10710, Indonesia (MEP UGM alumni, BPS 3)
(2) Faculty of Economics and Business, Universitas Gadjah Mada, Indonesia
(*) Corresponding Author

Abstract

Introduction/Main Objectives: This study aims to analyze the factors that influence online shopping. Data are aggregated at the national, island, and regional levels. The regions are categorized based on their level of demand for online shopping. Background Problems: The rapid development of information and communications technology contributes to the transformation of the digital economy. By using 281,185 internet users from the National Households Survey (Survei Sosial Ekonomi-Susenas) 2017 data, we found that the percentage of online shopping in Indonesia is 7.59%. Online shopping is concentrated on the island of Java, especially in the Greater Jakarta area (Jakarta, Bogor, Depok, Tangerang, and Bekasi). Novelty: This study analyzes online shopping from the point of view of economic development studies, especially related to the development of information technology and the digital economy. Research Methods: We used a binary logistic regression analysis to assess the effect of demographic, socio-economic, and spatial factors on an individual’s decision to shop online. Finding/Results: The results indicate that individuals who have a greater tendency to shop online are those who have a high income, are women, can access the internet using mobile phones, they are the spouses of the heads of households, are 25 to30 years old, live in urban areas, have graduated from college (especially with a diploma), and work in the tertiary sector. The higher that the share of online shopping is in an area, the more intense the influence of individual characteristics will be on the tendency to shop online, according to the demographic and socio-economic factors, while the spatial factors will fade away. Conclusion: Income, gender, internet access, and the shopper’s position in the household are factors that significantly influence individuals to shop online.

Keywords

online shopping, internet access, female consumer, urban consumer

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References

APJII. (2017). Penetrasi dan perilaku pengguna internet Indonesia. Retrieved August 26, 2018, from Penetrasi dan perilaku pengguna internet Indonesia website: https://www.apjii.or.id/content/read/39/342/Hasil-Survei-Penetrasi-dan-Perilaku-Pengguna-Internet-Indonesia-2017

Badan Pusat Statistik. (2015). Klasifikasi Baku Lapangan Usaha Indonesia 2015. Jakarta: Badan Pusat Statistik.

Badan Pusat Statistik. (2017a). Hasil Pendaftaran Usaha/Perusahaan Sensus Ekonomi 2016 Indonesia. Jakarta: BPS-Statistics Indonesia.

Badan Pusat Statistik. (2017b). Pedoman Pengawasan Survei Komuter Bandung Raya dan Gerbangkertosusila 2017. Jakarta: Badan Pusat Statistik.

Badan Pusat Statistik. (2017c). Statistik Kesejahteraan Rakyat 2017. Jakarta: Badan Pusat Statistik/BPS-Statistics Indonesia.

Badan Pusat Statistik. (2018). Statistik Indonesia 2018. Jakarta: Badan Pusat Statistik.

Beckers, J., Cárdenas, I., & Verhetsel, A. (2018). Identifying the geography of online shopping adoption in Belgium. Journal of Retailing and Consumer Services, 45, 33-41. https://doi.org/10.1016/j.jretconser.2018.08.006

Bellman, S., Lohse, G. L., & Johnson, E. J. (1999). Predictors of online buying behavior. Communications of the ACM, 42 (12), 32-38. https://doi.org/10.1145/322796.322805

Bigne, E., Ruiz, C., & Sanz, S. (2005). The impact of internet user shopping patterns and demographics on consumer mobile buying behaviour. Journal of Electronic Commerce Research, 6 (3), 193. https://doi.org/10.1016/0025-326x(74)90172-6

Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2006). Consumer behavior, 10th edn, Thomson South-Western, Boston. Cochran, WG (1977). Sampling techniques. New York: John Wiley & Sons. Comer and TA Wikle (2008), Worldwide diffusion of the cellular telephone, (1995-2005). The Professional Geographer, 60(2), 252-269.

Chiu, Y. B., Lin, C. P., & Tang, L. L. (2005). Gender differs: assessing a model of online purchase intentions in e‐tail service. International journal of service industry management. https://doi.org/10.1108/09564230510625741

Clarke, G., Thompson, C., & Birkin, M. (2015). The emerging geography of e-commerce in British retailing. Regional Studies, Regional Science, 2 (1), 371-391. https://doi.org/10.1080/21681376.2015.1054420

Das, K. (2018). The digital archipelago: How online commerce is driving Indonesia's economic development. McKinsey. Retrieved from www.mckinsey.com/featured-insights/asia-pacific/the-digital-archipelago-how-online-

Donthu, N., & Garcia, A. (1999). The internet shopper. Journal of advertising research, 39(3), 52-52.

Farag, S., & Weltevreden, J. v. Rietbergen, T., Dijst, M. & v. Oort, F.(2006). E-shopping in the Netherlands: does geography matter? Environment and Planning B: Planning and Design, 33, 59-74. https://doi.org/10.1068/b31083

Hasslinger, A., Hodzic, S., Opazo, C., Kallström, L., & Ekelund, C. (2007). Consumer Behaviour in Online Shopping, Arbectsgemeinschaft Online-Forschung e.

Hasyyati, A. N. (2017). Demographic and socioeconomic characteristics of e-commerce users in Indonesia (No. 776). ADBI Working Paper.

Hood, N., Urquhart, R., Newing, A., & Heppenstall, A. (2020). Sociodemographic and spatial disaggregation of e-commerce channel use in the grocery market in Great Britain. Journal of Retailing and Consumer Services, 55, 102076. https://doi.org/10.1016/j.jretconser.2020.102076

Hudalah, D., Zulfahmi, F., & Firman, T. (2013). Regional governance in decentralizing Indonesia: Learning from the success of urban-rural cooperation in metropolitan Yogyakarta. In Cleavage, connection and conflict in rural, urban and contemporary Asia (pp. 65-82). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5482-9_5

Kementerian Perencanaan Pembangunan Nasional/Badan Perencanaan Pembangunan Nasional. (2015). Lampiran Peraturan Presiden Nomor 2 Tahun 2015 Tentang Rencana Pembangunan Jangka Menengah Nasional 2015-2019. Jakarta: Kementerian Perencanaan Pembangunan Nasional/Badan Perencanaan Pembangunan Nasional.

Kotler, P., & Armstrong, G. (2007). Principles of Marketing 12th Edition: Pearson Prentice Hall. Upper saddle river New Jersey.

Li, H., Kuo, C., & Rusell, M. G. (2006). The impact of perceived channel utilities, shopping orientations, and demographics on the consumer’s online buying behavior. Journal of Computer-Mediated Communication, 5 (2), 1–20. https://doi.org/10.1111/j.1083-6101.1999.tb00336.x

Lohse, G., Bellman, S., & Johnson, E. J. (2000). Consumer buying behavior on the Internet: Findings from panel data. Journal of interactive Marketing, 14 (1), 15-29. https://doi.org/10.1002/(SICI)1520-6653(200024)14:1<15::AID-DIR2>3.0.CO;2-C

Lubis, A. N. (2018). Evaluating the customer preferences of online shopping: Demographic factors and online shop application issue. Academy of Strategic Management Journal, 17 (2), 1–13.

Luthfihadi, M., & Dewanto, W. (2013). Technology acceptance of e-commerce in Indonesia. International Journal of Engineering Innovation and Management, 3, 9–18. https://doi.org/10.1109/TCSI.2012.2215794

Mahmood, M. A., Bagchi, K., & Ford, T. C. (2004). On-line shopping behavior: Cross-country empirical research. International Journal of Electronic Commerce, 9(1), 9-30. https://doi.org/10.1080/10864415.2004.11044321

Monsuwé, T. P., Dellaert, B. G., & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International journal of service industry management. https://doi.org/10.1108/09564230410523358

Organisation for Economic Co-operation and Development. (2011). OECD guide to measuring the information society 2011. OECD.

Owens, T. R., & Sarov, M. G. (2010). Determinants of consumer attitudes towards e-commerce. Issues in Political Economy, 19, 29-50.

Punj, G. (2015). The relationship between consumer characteristics and willingness to pay for general online content: Implications for content providers considering subscription-based business models. Marketing Letters, 26(2), 175-186. https://doi.org/10.1007/s11002-013-9273-y

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. https://doi.org/10.24924/ijabm/2015.04/v3.iss1/310.317

Rezai, G., Mohamed, Z., Shamsudin, M. N., & Zahran, M. Z. (2013). Effect of consumer demographic factors on purchasing herbal products online in Malaysia. International Journal of Economics and Management Engineering, 7(8), 2380-2386.

Richa, D. (2012). Impact of demographic factors of consumers on online shopping behaviour: A study of consumers in India. International journal of engineering and management sciences, 3(1), 43-52. https://doi.org/10.24924/ijabm/2015.04/v3.iss1/310.317

Sin, L., & Tse, A. (2002). Profiling internet shoppers in Hong Kong: demographic, psychographic, attitudinal and experiential factors. Journal of International Consumer Marketing, 15(1), 7-29. https://doi.org/10.1300/J046v15n01

Smith, A. D., & Rupp, W. T. (2003). Strategic online customer decision making: leveraging the transformational power of the Internet. Online information review. https://doi.org/10.1108/14684520310510055

Swinyard, W. R., & Smith, S. M. (2003). Why people (don't) shop online: A lifestyle study of the internet consumer. Psychology & marketing, 20(7), 567-597. https://doi.org/10.1002/mar.10087

Tsao, W. C., Hsieh, M. T., & Lin, T. M. (2016). Intensifying online loyalty! The power of website quality and the perceived value of consumer/seller relationship. Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-07-2015-0293

Valarezo, Á., 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. https://doi.org/10.1016/j.telpol.2018.03.006

Wang, C. L., Zhang, Y., Ye, L. R., & Nguyen, D. D. (2005). Subscription to fee-based online services: What makes consumer pay for online content?. Journal of Electronic Commerce Research, 6(4), 304.

Yang, B., & Lester, D. (2005). Gender differences in e-commerce. Applied Economics, 37(18), 2077-2089. https://doi.org/10.1080/00036840500293292

Yusmita, F. (2012). Nik Kamariah Nik Mat, Mulyagus Usman Muhammad, Yuhainis Mohd Yusoff, Fitrisal azhar, Saeed Behjati (2012). Determinants of Online Purchasing Behavior in Nanggroe Aceh Darussalam. American Journal of Economics June, 153-157.https://doi.org/10.5923/j.economics.20120001.34

Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model-A critical survey of consumer factors in online shopping. Journal of Electronic commerce research, 8(1). https://doi.org/10.1086/209376.

DOI: https://doi.org/10.22146/jieb.55358

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