Evaluation of Factors influencing the Shopee PayLater adoption in Indonesia

Leo Agustin

doi:10.52812/msbd.49

Authors

Leo Agustin Nanjing University of Information Science and Technology

DOI:

https://doi.org/10.52812/msbd.49

Keywords:

Shopee PayLater, consumptive behavior, e-commerce, Online Shopping, Grey Relational Analysis

Abstract

Current technological developments are one of the causes of the creation of financial technology (fintech) innovations. One of the fintech innovations that is developing in Indonesia is Shopee PayLater. This study aims to investigate the factors that determine the use of the Shopee PayLater function and its impact on consumption behavior among Indonesian students who use it. The primary data was collected from Indonesian e-commerce users. Later, the Grey Relational Analysis model was used for data analysis and evaluation of the factors. According to the findings, income, behavioral intention, and social influence all had a favorable and significant impact on the use of Shopee PayLater. Additionally, using Shopee PayLater has a good and significant impact on people's purchasing habits.

References

Abifarin, J. K., & Ofodu, J. C. (2022). Modeling and Grey Relational Multi-response Optimization of Chemical Additives and Engine Parameters on Performance Efficiency of Diesel Engine. International Journal of Grey Systems, 2(1), 16-26. https://doi.org/10.52812/ijgs.33

Abifarin, J. K., Obada, D. O., Dauda, E. T. & Oyedeji, E. O. (2021). Taguchi Grey Relational Optimization of the Multi-mechanical Characteristics of Kaolin Reinforced Hydroxyapatite: Effect of Fabrication Parameters. International Journal of Grey Systems, 1(2), 20-32. https://doi.org/10.52812/ijgs.30

Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370-387. https://doi.org/10.1016/j.tele.2015.09.005

Ajuna, L. H. (2020). The Effect of Marketing Mix Towards Decision of Muslim Consumers in Travelug. Jurnal Ilmiah Ekonomi Islam, 6(2), 246-250. https://jurnal.stie-aas.ac.id/index.php/jei/article/view/1082/641

Akram, U., Hui, P., Kaleem Khan, M., Tanveer, Y., Mehmood, K., & Ahmad, W. (2018). How Website Quality Affects Online Impulse Buying: Moderating Effects of Sales Promotion and Credit Card Use. Asia Pacific Journal of Marketing and Logistics, 30(1), 235–256. https://doi.org/10.1108/APJML-04- 2017-0073

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer Adoption of Mobile Banking in Jordan: Examining the Role of Usefulness, Ease of Use, Perceived Risk and Self-efficacy. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/https://doi.org/10.1108/JEIM-04-2015-0035

Al-Dmour, R., Hammdan, F., Al-Dmour, H., Alrowwad, A., & Khwaldeh, S. M. (2017). The Effect of Lifestyle on Online Purchasing Decision for Electronic Services: The Jordanian Flying E-Tickets Case. Asian Social Science, 13(11), 157. https://doi.org/10.5539/ass.v13n11p157

Angela, F., & Angelina. (2021). Grey Relational Evaluation of the Supplier Selection Criteria in the Indonesian Hospitality Industry. International Journal of Grey Systems, 1(2), 42-54. https://doi.org/10.52812/ijgs.19

Boru, V. F., Lerik, M. D. C., & Keraf, M. A. (2021). Self-Control with Online Shopping Consumptive Behavior in Young Women in Oesapa Village. Journal of Health and Behavioral Science, 3(2), 199-208. https://ejurnal.undana.ac.id/CJPS/article/view/3845

Cheng, T. E., Lam, D. Y., & Yeung, A. C. (2006). Adoption of internet banking: an empirical study in Hong Kong. Decision Support Systems, 42(3), 1558-1572. https://doi.org/10.1016/j.dss.2006.01.002

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008

Diba, S., & Xie, N. (2019). Sustainable supplier selection for Satrec Vitalait Milk Company in Senegal using the novel grey relational analysis method. Grey Systems: Theory and Application, 9(3), 262-294.https://doi.org/10.1108/GS-01-2019-0003

Effendi, U. (2016). Consumer Psychology [Psikologi Konsumen]. Jakarta: Rajawali Pers. Hal. 16-17.

Erizal, N. (2021). The Influence Of Tiktok Applications On The Consumption Behavior Of Adolescents In Online Shopping. International Journal of Cultural and Social Science, 2(1), 39-43. http://pcijournal.org/index.php/ijcss

Fahim, A., Addae, B. A., Ofosu-Adarkwa, J., Qingmei, T., & Bhatti, U. A. (2021). Industry 4.0 and Higher Education: An Evaluation of Barriers Affecting Master's in Business Administration Enrolments Using a Grey Incidence Analysis. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3082144

Fahmi, R. Z. (2016). The Influence of Perceived Product Quality, Brand Awareness, Product Features and Price on Purchase Decisions for Xiaomi Mobile Phones in Surabaya [Pengaruh Persepsi Kualitas Produk, Kesadaran Merek, Fitur Produk dan Harga Terhadap Keputusan Pembelian Ponsel Xiaomi di Surabaya]. [skripsi]. Manajemen, Sekolah Tinggi Ilmu Ekonomi Perbanas Surabaya (diakses pada tanggal 9 Maret 2020). http://eprints.perbanas.ac.id/id/eprint/344

Farah, M. F., Hasni, M. J. S., & Abbas, A. K. (2018). Mobile-Banking Adoption: Empirical Evidence From The Banking Sector in Pakistan. International Journal of Bank Marketing, 36 (7), 1386–1413. https://doi.org/10.1108/IJBM-10-2017-0215

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly: Management Information Systems, 27(1), 51-90. https://doi.org/10.2307/30036519

Gharaibeh, M. K., Arshad, M. R. M., & Gharaibh, N. K. (2018). Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: a Qualitative Approach. International Journal of Interactive Mobile Technologies, 12(4), 123–134. https://doi.org/10.3991/ijim.v12i4.8525

Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions. Computers in Human Behavior, 80, 197-206. https://doi.org/10.1016/j.chb.2017.11.010

Indrawati, & Putri, D. A. (2018). Analyzing Factors Influencing Continuance Intention of E-Payment Adoption Using Modified UTAUT 2 Model: (A Case Study of Go-Pay from Indonesia). 2018 6th International Conference on Information and Communication Technology, ICoICT 2018(May): 167–73. https://doi.org/10.1109/ICoICT.2018.8528748

Irfan, M., Ikram, M., Ahmad, M., Wu, H., & Hao, Y. (2021). Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces. Environmental Science and Pollution Research, 28, 59705–59719. https://doi.org/10.1007/s11356-021-14875-6

Javed, S. A., Mahmoudi, A., & Liu, S. (2020). Grey Absolute Decision Analysis (GADA) method for Multiple Criteria Group Decision Making under Uncertainty. International Journal of Fuzzy Systems, 22(4), 1073-1090. https://doi.org/10.1007/s40815-020-00827-8

Javed, S.A., Gunasekaran, A., & Mahmoudi, A. (2022). DGRA: Multi-sourcing and Supplier Classification through Dynamic Grey Relational Analysis method. Computers & Industrial Engineering, 173, 108674. https://doi.org/10.1016/j.cie.2022.108674

Jayani, D. H. (2019). How many Internet users in Indonesia [Berapa Pengguna Internet di Indonesia]. Databoks. https://databoks.katadata.co.id/datapublish/2019/09/09/berapa-pengguna- internet-di-indonesia.

Jeong, J. Y., & Kim, H. C. (2020). Korean mothers' food choice behavioral intent for children: An examination of the interaction effects of food type, household income, and healthism. Food Quality and Preference, 81, 103835. https://doi.org/10.1016/j.foodqual.2019.103835

Joan, L., & Sitinjak, T. (2019). The Influence of Perceived Usefulness and Perceived Ease of Use on Interest in Using Go-Pay Digital Payment Services [Pengaruh Persepsi Kebermanfaatan Dan Persepsi Kemudahan Penggunaan Terhadap Minat Penggunaan Layanan Pembayaran Digital Go-Pay]. Jurnal Manajemen, 8(2), 27–39. https://doi.org/10.29303/jseh.v6i1.35

Jogiyanto, H. M. (2008). Behavioral Information System [Sistem Informasi Keperilakuan] (Edisi Revisi). In Andi Offset, Yogyakarta (Ed I). Penerbit ANDI

Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474. http://dx.doi.org/10.1016/j.chb.2017.01.001.

Krempel, E., & Beyerer, J. (2014). TAM-VS: a technology acceptance model for video surveillance. In Annual Privacy Forum (pp. 86-100). Springer, Cham. https://doi.org/10.1007/978-3-319-06749-0_6

Kumala, I., & Mutia, I. (2020). Utilization of Student Digital Wallet Application [Pemanfaatan Aplikasi Dompet Digital Mahasiswa]. Seminar Nasional Riset Dan Teknologi (SEMNAS RISTEK) 2020, 4(1), 64– 69. https://doi.org/10.30998/semnasristek.v4i1.1118

Kurniawati, W. (2010). Several factors that influence interest in the utilization and use of information technology systems [Beberapa faktor yang mempengaruhi minat pemanfaatan dan penggunaan sistem teknologi informasi]. (Studi Empiris pada Pemerintah Daerah Kabupaten Sragen) (Doctoral dissertation, UNS (Sebelas Maret University)). https://digilib.uns.ac.id/dokumen/detail/14263

Lina, L., & Rosyid, H. F. (1997). Consumptive behavior based on locus of control in adolescent girls. Psychology [Perilaku konsumtif berdasarkan locus of control pada remaja putri. Psikologika]: Jurnal Pemikiran Dan Penelitian Psikologi, 2(4), 5-14. https://journal.uii.ac.id/Psikologika/article/view/8434

Mahmoudi, A., Javed, S. A., Liu, S., & Deng, X. (2020). Distinguishing Coefficient driven Sensitivity Analysis of GRA Model for Intelligent Decisions: Application in Project Management. Technological and Economic Development of Economy, 26(3), 621-641. https://doi.org/10.3846/tede.2020.11890

Mbrokoh, A.S. (2016). Exploring the factors that influence the adoption of internet banking in Ghana. Journal of Internet Banking and Commerce, 21(2), 1-20.

Mentari, A. C., & Bendesa, I. K. G. (2018). Analysis of the factors influencing interest in using electronic money in Denpasar City, Bali Province [Analisis faktor-faktor yang mempengaruhi minat dalam menggunakan uang elektronik di Kota Denpasar, Provinsi Bali]. E-Jurnal EP Unud, 7(4), 646-676. https://garuda.kemdikbud.go.id/documents/detail/1357207

Mesatania, C. P. (2022). Factors Influencing Online Buying Behavior: A Case of Shopee Customers. Management Science and Business Decisions, 2(1), 18–30. https://doi.org/10.52812/msbd.34

Nanggala, A. Y. (2020). Use of Fintech for Payment: Approach to Technology Acceptance Model Modified. Journal of Contemporary Information Technology, Management, and Accounting, 1 - 8. https://doi.org/10.5281/zenodo.5527891

Nugroho, M. S., & Pradana, M. (2021). The Influence Of Product Quality On Purchase Decision Through Consumer Behaviour As Intervening Variable (Case Study Of Indonesian Vape Consumers). eProceedings of Management, 8(6). https://openlibrarypublications.telkomuniversity.ac.id/index.php/management/article/view/17231

Nuriska, A., Asakdiyah, S., dan Setyawan, R. R. (2018). Factors Affecting Behavioral Intention in Using Go Pay with The Modified Unified Theory of Acceptance and Use of Technology 2 Model (UTAUT2). Muhammadiyah International Journal of Economics and Business, 107 - 114. https://journals.ums.ac.id/index.php/mijeb/article/view/9366

Nustini, Y., & Fadhillah, N. (2020). Factors that Influence the Use of e-Banking and the Effect on Consumptivism. Review of Integrative Business and Economics Research, 9(1), 330–345. https://search.proquest.com/docview/2303159464?accountid=17242

Oktafani, D., & Sisilia, K. (2020). Analysis of the Application of the Unified Theory of Acceptance And Use of Technology2 (UTAUT2) Model on the Adoption of the Use of OVO Digital Wallet Dayeuh Kolot Bandung (Case study on Generation Z as OVO users) [Analisis Penerapan Model Unified Theory of Acceptance And Use of Technology2 (UTAUT2) Pada Adopsi Penggunaan Dompet Digital OVO Dayeuh Kolot Bandung (Studi kasus pada Generasi Z sebagai pengguna OVO)]. Jurnal Menara Ekonomi, VI (1), 24–36. https://doi.org/10.31869/me.v6i1.1825

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414. http://dx.doi.org/10.1016/j.chb.2016.03.030

Oyedeji, E. O., Dauda, M., Yaro, S. A., & Abdulwahab, M. (2022). Mechanical Properties Optimization and Modeling of Palm Kernel Shell Ash Reinforced Al-Mg-Si Composite using Grey Relational Analysis. International Journal of Grey Systems, 2(1), 27-37. https://doi.org/10.52812/ijgs.44

Peng, X., Tang, X., Chen, Y., & Zhang, J. H. (2021). Ranking the healthcare resource factors for public satisfaction with health system in China-based on the grey relational analysis models. International Journal of Environmental Research and Public Health, 18(3), 995. https://doi.org/10.3390/ijerph18030995

Pratama, A. B., & Suputra, I. D. G. D. (2019). The Effect of Perceived Benefits, Perceived Ease of Use, and Level of Trust on Interest in Using Electronic Money [Pengaruh Persepsi Manfaat, Persepsi Kemudahan Penggunaan, dan Tingkat Kepercayaan Pada Minat Menggunakan Uang Elektronik]. E-Jurnal Akuntansi, 27, 927. https://doi.org/10.24843/eja.2019.v27.i02.p04

Pulungan, D. R., & Febriaty, H. (2018). The influence of lifestyle and financial literacy on the consumptive behavior of students [Pengaruh gaya hidup dan literasi keuangan terhadap perilaku konsumtif mahasiswa]. Jurnal Riset Sains Manajemen, 2(3), 103-110. http://doi.org/10.5281/zenodo.1410873

Rahma, T. I. F. (2018). Medan City Community Perceptions of the Use of Financial Technology (Fintech) [Persepsi Masyarakat Kota Medan Terhadap Penggunaan Financial Technology (Fintech)]. Jurnal At – Tawassuth. Vol 3 No. 1. Universitas Islam Negeri Sumatera Utara. Hal. 647 – 649. (diakses pada tanggal 2 Februari 2021). http://dx.doi.org/10.30821/ajei.v3i1.1704

Romadloniyah, A. L., & Prayitno, D. H. (2018). The Influence of Perceived Ease of Use, Perceived Usability, Perceived Trust, and Perceived Benefits on Customer Interests in Using E-Money at Bank Bri Lamongan [Pengaruh Persepsi Kemudahan Penggunaan, Persepsi Daya Guna, Persepsi Kepercayaan, Dan Persepsi Manfaat Terhadap Minat Nasabah Dalam Menggunaan E-Money Pada Bank Bri Lamongan]. Jurnal Penelitian Ekonomi dan Akuntansi (JPENSI), 3(2), 699-711. http://jurnalekonomi.unisla.ac.id/index.php/jpensi/article/view/164

Rouibah, K., Lowry, P. B., & Hwang, Y. (2016). The effects of perceived enjoyment and perceived risks on trust formation and intentions to use online payment systems: new perspectives from an Arab country. Electronic Commerce Research and Applications, 19, 33-43. https://doi.org/10.1016/j.elerap.2016.07.001

Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems, 101(4). 165-177. https://doi.org/10.1108/02635570110390071

Setiadi, N. J. (2003). Consumer Behavior: Concepts and Implications for Marketing Business Strategy and Research [Perilaku Konsumen: Konsep dan Implikasi Untuk Strategi dan Penelitian Bisnis Pemasaran]. Prenada Media, Jakarta.

Siahaan, M., & Legowo, N. (2019). The citizens acceptance factors of transportation application online in Batam: an adaptation of the utaut2 model and information system success model. Journal of Theoretical and Applied Information Technology, 97(6), 1666-1676.

Sihombing, N. M. M., Suryanto, N. E., Mahameru, M., Setiawan, M. R., & Elisabeth Marsella, S. S., M. L. (2019). The Impact of Using Online Loans on the Consumptive Lifestyle of Yogyakarta Students. Syntax [Dampak Penggunaan Pinjaman Online Terhadap Gaya Hidup Konsumtif Mahasiswa Yogyakarta]. Sintak, 3, 500–507. https://unisbank.ac.id/ojs/index.php/sintak/article/view/7638

Sohn, S. (2017). A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping. Journal of Retailing and Consumer Services, 38(May), 22–33. https://doi.org/10.1016/j.jretconser.2017.05.002.

Statista. (2019). eCommerce – Indonesia. Statista. https://www.statista.com/outlook/dmo/ecommerce/indonesia

Subagio, H. (2012). The influence of supermarket attributes on hedonic shopping motives, utilitarian shopping motives and consumer loyalty [Pengaruh atribut supermarket terhadap motif belanja hedonik motif belanja utilitarian dan loyalitas konsumen]. Jurnal Manajemen Pemasaran, 6(1), 8-21. http://dx.doi.org/10.9744/pemasaran.6.1.8-21

Sukirno, S. (2016). Macroeconomics: Introductory Theory [Makroekonomi: Teori Pengantar]. Jakarta: PT RajaGrafindo Persada.

Usman, H., & Lizam, M. (2016). Determinants of intention of using mortgage in financing home ownership in Bauchi, Nigeria. International Journal of Housing Markets and Analysis, 9(3), 320-339. https://doi.org/10.1108/IJHMA-07-2015-0033

Uyun, M., & Warsah, I. (2021). Educational Psychology [Psikologi Pendidikan]. Yogyakarta: Deepublish Publisher. ISBN 978-623-02-2451-5

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178. https://doi.org/10.2307/41410412

Widari, D. A. P. N., Azis, I. S. A., & Martadiani, A. A. M. (2022). The Role of Finance Literacy Moderation on the Influence of Lifestyle and Financial Technology on the Consumption Behavior of the Millennial Generation in the City of Denpasar, Bali-Indonesia. Journal of Economics, Finance and Management Studies, 5(9), 2614-2624. https://doi.org/10.47191/jefms/v5-i9-16

Witami, D. A. D., & Suartana, I. W. (2019). The Influence of Perceived Usefulness, Ease of Use and Risk on Student Interest in Using Blockchain Systems [Pengaruh Persepsi Kegunaan, Kemudahan Penggunaan dan Risiko Terhadap Minat Mahasiswa Menggunakan Sistem Blockchain]. E-Jurnal Akuntansi, 28(2), 1346-1376. https://doi.org/10.24843/EJA.2019.v28.i02.p21

Wulandari, D., Soseco, T., Witjaksono, M., Narmaditya, B. S., Utomo, S. H., Wahjoedi, N. A. Y., ... & Priambodo, M. P. (2017). The Relationship Between HouseRent, Income Inequality and Households Consumption. International Journal of Applied Business and Economic Research, 15(19), 235-242.

Yang, C. C., & Chen, B. S. (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, 17(7), 926-941. http://doi.org/10.1108/17410380610688241

Yuneline, M. H. (2022). Implications of Shariah Financial Technology in Increasing Financial Inclusion to Micro, Small, and Medium Enterprises. Islamiyyat, 44(1), 89-99. http://journalarticle.ukm.my/19325/1/56061-184713-1-PB.pdf

.