Understanding payment switching behavior to QRIS in Southwest Papua: A push-pull-mooring study

Main Article Content

Nurul Hidayah
Latifah Dian Iriani

Abstract

As the global economy changes, it's important to examine why people in Southwest Papua switch from cash to the Quick Response Code Indonesian Standard (QRIS) system. This region is notoriously behind in infrastructure and human development, so studying this area is crucial to expanding the national economy. This study investigates the variables that influence the switching behavior of users in Southwest Papua toward the Quick Response Code Indonesian Standard (QRIS) digital payment. The study investigates the impact of push factors (e.g., perceived trouble, perceived no record for transactions, and difficulty paying cash in large amounts), pull factors (e.g., perceived convenience, promotional benefits, and time savings), and mooring factors (e.g., habit and switching costs) on the transition from cash to digital payments, utilizing the Push-Pull-Mooring (PPM) framework and transaction cost theory. The research uses a method called structural equation modeling to study how QRIS users behave in three areas of Southwest Papua Province: Sorong City, Sorong Regency, and Raja Ampat, by selecting participants randomly from different groups. The results indicate that the adoption of QRIS is significantly influenced by both push and pull factors, with pull factors playing a more prominent role. Habit also significantly influences switching behavior, while switching costs show a negative but statistically insignificant effect. To expedite the adoption of digital payments in Southwest Papua, these insights provide policymakers and financial institutions with practical advice. They indicate that strategies that emphasize the convenience and advantages of QRIS over cash are more effective in increasing user adoption.

Article Details

How to Cite
Hidayah, N., & Iriani, L. D. (2025). Understanding payment switching behavior to QRIS in Southwest Papua: A push-pull-mooring study. Jurnal Ekonomi &Amp; Studi Pembangunan, 26(1), 11–32. https://doi.org/10.18196/jesp.v26i1.24253
Section
Articles

References

Acheampong, P., Asante Antwi, H., Akai Acheampong Otoo, A., & Boateng Sarpong, P. (2017). Hybridizing an extended technology readiness index with technology acceptance model (TAM) to predict e-payment adoption in Ghana. American Journal of Multidisciplinary Research, 5(2), 172–184. http://onlinejournal.org.uk/index.php/ajmur/index

Antara Papua Barat. (2024, February 6). Perekonomian Papua Barat Daya 2023 tumbuh 1,82 persen. Antara Papua Barat. https://papuabarat.antaranews.com/berita/39105/perekonomian-papua-barat-daya-2023-tumbuh-182-persen

Badan Pusat Statistik Papua Barat. (2023). Distribusi persentase produk domestik regional bruto menurut kabupaten/kota di Provinsi Papua Barat Daya (Persen), 2023. https://papuabarat.bps.go.id/indicator/11/308/1/distribusi-persentase-produk-domestik-regional-bruto-menurut-kabupaten-kota-di-provinsi-papua-barat-daya.html

Bansal, H. S., Taylor, S. F., & James, Y. S. (2005). “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96–115. https://doi.org/10.1177/0092070304267928

Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265–284. https://doi.org/10.1016/j.elerap.2015.07.006

Dolnicar, S. (2021). 5/7-point “Likert scales” aren’t always the best option. Annals of Tourism Research, 91, 103297. https://doi.org/10.1016/j.annals.2021.103297

Fan, L., Zhang, X., Rai, L., & Du, Y. (2021). Mobile payment: The next frontier of payment systems? - An empirical study based on push-pull-mooring framework. Journal of Theoretical and Applied Electronic Commerce Research, 16(2), 179–193. https://doi.org/10.4067/S0718-18762021000200112

Ghozali, I. (2014). Partial least squares: Konsep, teknik dan aplikasi menggunakan program SmartPLS 3.0 untuk penelitian empiris. Universitas Diponegoro.

Gunawan, A., Fatikasari, A. F., & Putri, S. A. (2023). The effect of using cashless (QRIS) on daily payment transactions using the technology acceptance model. Procedia Computer Science, 227, 548–556. https://doi.org/10.1016/j.procs.2023.10.557

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128

Hamzah Muchtar, E., Trianto, B., Maulana, I., Alim, M. N., Marasabessy, R. H., Hidayat, W., Junaedi, E., & Masrizal. (2024). Quick response code Indonesia standard (QRIS) e-payment adoption: Customers’ perspective. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2316044

Hidayah, N., Ridwan, A., Prihandoko, N. D., & Nurhani. (2023). Factors Affecting MSMEs in Using QRIS and Electronic Data Capture (EDC) as a Cashless Payment Method: Evidence from Sorong City, Southwest Papua. International Journal of Business Studies, 7(3), 157–168. https://doi.org/10.32924/ijbs.v7i3.309

Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259–274. https://doi.org/10.1016/s0022-4359(00)00024-5

Kumar, V., & Reinartz, W. (2016). Creating enduring customer value. Journal of Marketing, 80(6), 36–68. https://doi.org/10.1509/jm.15.0414

Lim, K. B., Yeo, S. F., & Tan, C. C. (2020). Understanding users’ switching intention on mobile wallet. Journal of Information System and Technology Management, 5(19), 14–24. https://doi.org/10.35631/jistm.519002

Limayem, M., Hirt, S. G., & Cheung, C. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quarterly, 31(4), 705. https://doi.org/10.2307/25148817

Lin, C. N., & Huang, H. H. (2023). Exploring users’ switching intention and behavior on social networking sites: Linear and nonlinear perspectives. Computer Standards & Interfaces, 83, 103660. https://doi.org/10.1016/j.csi.2022.103660

Lu, H. P., & Wung, Y. S. (2021). Applying transaction cost theory and push-pull-mooring model to investigate mobile payment switching behaviors with well-established traditional financial infrastructure. Journal of Theoretical and Applied Electronic Commerce Research, 16(2), 1–21. https://doi.org/10.4067/S0718-18762021000200102

Mai, X. T., & Nguyen, T. (2024). Switching behaviors in peer-to-peer mobile payment applications: The role of sociability. Journal of Systems and Information Technology, 26(1), 1–30. https://doi.org/10.1108/JSIT-05-2023-0082

Monoarfa, T. A., Sumarwan, U., Suroso, A. I., & Wulandari, R. (2023). Switch or stay? Applying a push–pull–mooring framework to evaluate behavior in e-grocery shopping. Sustainability (Switzerland), 15(7), 6018. https://doi.org/10.3390/su15076018

Mu, H.-L., & Lee, Y.-C. (2022). Will proximity mobile payments substitute traditional payments? Examining factors influencing customers’ switching intention during the COVID-19 pandemic. International Journal of Bank Marketing, 40(5), 1051–1070. https://doi.org/10.1108/IJBM-06-2021-0284

Mulyono, A. (2022, August 5). Menuju era uang rupiah digital. Kementerian Keuangan Republik Indonesia. https://djpb.kemenkeu.go.id/portal/id/berita/lainnya/opini/3950-menuju-era-uang-rupiah-digital.html

Munifatussaidah, A., Zahara, J. N., Resiana, R. S., & Ningsih, L. A. (2024). Driving regional economy: Digital technology adoption’s role for effective distribution of Islamic social finance in Indonesia. Jurnal Ekonomi & Studi Pembangunan, 25(2), 261–275. https://doi.org/10.18196/jesp.v25i2.23838

Nimako, S., Ntim, B. A., & Nimako, S. G. (2013). Construct specification and misspecification within the application of push-pull-mooring theory of switching behaviour. Journal of Business and Management Sciences, 1(5), 83–95. https://doi.org/10.12691/jbms-1-5-2

Puslitbang Aptika dan IKP. (2019). Perkembangan ekonomi digital di Indonesia. https://bpsdm.kominfo.go.id/publikasi_665_3_230

Qosasi, A., Maulina, E., Purnomo, M., Muftiadi, A., Permana, E., & Febrian, F. (2019). The impact of information and communication technology capability on the competitive advantage of small businesses. International Journal of Technology, 10(1), 167–177. https://doi.org/10.14716/ijtech.v10i1.2332

Sahi, A. M., Khalid, H., Abbas, A. F., & Khatib, S. F. A. (2021). The evolving research of customer adoption of digital payment: Learning from content and statistical analysis of the literature. Journal of Open Innovation: Technology, Market, and Complexity, 7(4). https://doi.org/10.3390/joitmc7040230

Sasongko, D. T., Handayani, P. W., & Satria, R. (2021). Analysis of factors affecting continuance use intention of the electronic money application in Indonesia. Procedia Computer Science, 197, 42–50. https://doi.org/10.1016/j.procs.2021.12.116

Sugandha, A. P., & Indarwati, T. A. (2021). Pengaruh Push, Pull, dan Mooring terhadap Switching Intention pada Konsumen Pengguna Wifi di Era Pandemi Covid-19. Jurnal Ilmu Manajemen, 9(4), 1537–1548. https://doi.org/10.26740/jim.v9n4.p1537-1548

Sugiyono. (2009). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.

Sugiyono. (2013). Metode penelitian pendidikan pendekatan kuantitatif, kualitatif, dan R&D. https://doi.org/10.1007/s13398-014-0173-7.2

Sun, Y., Liu, D., Chen, S., Wu, X., Shen, X. L., & Zhang, X. (2017). Understanding users’ switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework. Computers in Human Behavior, 75, 727–738. https://doi.org/10.1016/j.chb.2017.06.014

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022

Wang, R., & Peters, M. (2023). Consumer intention to switch from cash to mobile payment in restaurants during and after pandemic. Journal of Quality Assurance in Hospitality & Tourism, 1–34. https://doi.org/10.1080/1528008X.2023.2201696

Wibowo, T. T. A., & Dermawan, R. (2023). The influence of perceptions of convenience and perception of benefits on interest in use of GoPay e-wallet in Surabaya. Jurnal Ekonomi dan Bisnis Digital, 2(3), 723–734. https://doi.org/10.55927/ministal.v2i3.4769

Wijaya, A. (2023). Gubernur BI dorong Pemda di Papua Barat terapkan elektronifikasi. Antara News. https://www.antaranews.com/berita/3377028/gubernur-bi-dorong-pemda-di-papua-barat-terapkan-elektronifikasi

Wijayanti, R. F., & Kusumawardhani, N. I. (2023). Push, pull, and mooring effects on e-commerce customer switching intention. International Journal of Multidisciplinary Research and Analysis, 6(8). https://doi.org/10.47191/ijmra/v6-i8-55

Wiranatakusuma, D. B., & Latief, N. (2024). Analysis of switching behavior for using digital payment financial technology in Tumenggungan Market Kebumen, Central Java. Journal of Economics Research and Social Sciences, 8(1), 53–69. https://doi.org/10.18196/jerss.v8i1.20228

Wiyata. (2023). Why traditional market buyers going digital: An empirical study on switching behavior. Journal Publicuho, 6(2), 683–692. https://doi.org/10.35817/publicuho.v6i2.203

Xia, H., Gao, Y., & Zhang, J. Z. (2023). Understanding the adoption context of China’s digital currency electronic payment. Financial Innovation, 9(1), 63. https://doi.org/10.1186/s40854-023-00467-5

Ye, D., Liu, F., Cho, D., & Jia, Z. (2022). Investigating switching intention of e-commerce live streaming users. Heliyon, 8(10), e11145. https://doi.org/10.1016/j.heliyon.2022.e11145

Yunita, E., & Mintarto Munandar, J. (2023). The influence of push-pull-mooring effects on e-wallet customer switching in Generation Z in DKI Jakarta. The South East Asian Journal of Management, 17(1), 1–27. https://doi.org/10.21002/seam.v17i1.1177