DOI: https://doi.org/10.21456/vol12iss1pp26-35

Analisis Faktor yang Mempengaruhi Innovation Resistance dan Intention to Use Terhadap Penerapan Pembayaran Non Tunai

*Rifa Alfianu Softina  -  Universitas Islam Negeri Sunan Ampel Surabaya, Indonesia
Faris Mushlihul Amin  -  Universitas Islam Negeri Sunan Ampel Surabaya, Indonesia
Noor Wahyudi  -  Universitas Islam Negeri Sunan Ampel Surabaya, Indonesia
Open Access Copyright (c) 2022 JSINBIS (Jurnal Sistem Informasi Bisnis)

Citation Format:
Abstract

Pertamina implements the MyPertamina cashless payment system to improve the quality of service to consumers in purchasing Pertamina products. Nevertheless, the MyPertamina application lacks users, as no research has discussed the reason for MyPertamina's low adoption rate; thus, it can be an exciting topic to investigate further. The objective of this research was to gain a better understanding of technological resistance by exploring the factors that contribute to resistance behaviour and intentions to adopt technology for MyPertamina services. The conceptual model was based on social influence, innovation resistance theory, and planned behaviour theory. Data was collected by distributing online questionnaires, and up to 350 data sets were processed using the structural equation model - partial least squares method. The results indicated that traditional and image barriers had a significant positive effect on innovation resistance, and social influence and self-efficacy significantly impacted the intention to use. In comparison, innovation resistance had a negative effect on the intention to use.

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Instrument
CTA Agreement
Subject
Type Research Instrument
  Download (243KB)    Indexing metadata
Keywords: Innovation Resistance; Intention to Use; MyPertamina; Cashless Payment; Self Efficacy; Social Influence

Article Metrics:

Article Info
Section: Research Articles
Language : EN
Recent articles
Peramalan Harga Saham Serentak Menggunakan Model Multivariate Singular Spectrum Analysis Analisis Pengaruh Digital Divide Terhadap User Satisfaction dan Individual Performance pada Pengguna Sistem Informasi Akademik Penerapan Logika ANFIS Sistem Penilaian Kinerja Dosen Pada Tri Dharma dan Perilaku Kerja More recent articles
Most cited articles
Implementasi Metode Promethee Dan Borda Dalam Sistem Pendukung Keputusan Pemilihan Lokasi Pembukaan Cabang Baru Bank Sistem Pemungutan Suara Elektronik Menggunakan Model Poll Site E-Voting Sistem Deteksi Retinopati Diabetik Menggunakan Support Vector Machine Pengukuran Kesadaran Keamanan Informasi Dan Privasi Pada Pengguna Smartphone Android Di Indonesia Pengenalan Wajah dengan Matriks Kookurensi Aras Keabuan dan Jaringan Syaraf Tiruan Probabilistik More cited articles
  1. Abbas, M., Nawaz, M. S., Ahmad, J., & Ashraf, M., 2017. The effect of innovation and consumer related factors on consumer resistance to innovation. Cogent Business & Management, 4, 1–23
  2. Ajzen, I, 1991. The Theory of Planned Behavior. Organizational Behavior And Human Decision Processes
  3. Chemingui, H., & Ben, H., 2013. Resistance, motivations, trust and intention to use mobile financial services. International Journal of Bank Marketing, 31(7)
  4. Chen, H., Tsai, B.K., & Hsieh, C.-M, 2018. The effects of perceived barriers on innovation resistance of hydrogen-electric motorcycles. Sustainability, 10, 1–15
  5. Davis, F.D., 1985. A Technology Acceptance Model For Empirically Testing New End-User Information Systems: Theory and Result
  6. Hamid, R. S., & Anwar, S. M., 2019. Structural Equation Modeling (SEM) Berbasis Varian: Konsep Dasar dan Aplikasi dengan Program SmartPLS 3.2.8 dalam Riset Bisnis. (Abiratno, S. Nurdiyanti, & A. D. Raksanagara, Eds.) (1st ed.). Jakarta: Inkubator Penulis Indonesia
  7. Haryono, S., 2016. Metode SEM Untuk Penelitian Manajemen AMOS LISREL PLS. (H. Mintardja, Ed.1), Bekasi: Intermedia Personalia Utama
  8. Heidenreich, S., & Spieth, P., 2013. Why innovations fail — the case of passive and active innovation resistance. International Journal of Innovation Management, 17(5), 1–42
  9. Hosseini, M.H., Delaviz, M., Derakhshide, H., & Delaviz, M., 2016. Factors affecting consumer resistance to innovation in mobile phone industry. International Journal of Asian Social Science, 6(9), 497–509
  10. Ikhsan, K., & Sunaryo, D., 2020. Technology Acceptance model, social influence and perceived risk in using mobile applications : empirical evidence in online transportation in Indonesia. Jurnal Dinamika Manajemen, 11(85), 127–138
  11. Im, H., Jung, J., Kim, Y., & Shin, D, 2015. Factors affecting resistance and intention to use the smart TV. Journal of Media Business Studies, 11(3), 23–42
  12. Ju, N., & Lee, K.H, 2021. Perceptions and resistance to accept smart clothing : moderating effect of consumer innovativeness. Applied Sciences
  13. Kaligis, W, 2016. Pengaruh perceived risk terhadap customer loyalty melalui switching cost. Jurnal Manajemen dan Pemasaran Jasa, 9(2), 221–238
  14. Kaur, P., Dhir, A., Singh, N., Sahu, G., & Almotairi, M., 2020. An innovation resistance theory perspective on mobile payment solutions. Journal of Retailing and Consumer Services, 55
  15. Kim, H.W., & Kankanhalli, A, 2009. Investigating user resistance to information systems implementation : a status quo bias. MIS Quarterly, 33(3), 567–582
  16. Kim, J., & Seo, J., 2017. User Resistance to Digital Goods: a Case of E-books
  17. Laukkanen, P., Sinkkonen, S., & Laukkanen, T, 2008. Consumer resistance to internet banking : postponers, opponents and rejectors. The International Journal of Bank Marketing, 26(6), 0265–2323
  18. Pertamina, 2018. Perluas Akses Transaksi Pembelian BBM Secara Non Tunai, Pertamina Gandeng Mastercard. Retrieved June 15, 2021
  19. Pertamina., 2020. Digitalisasi SPBU dan Cashless Payment. Retrieved June 10, 2021, from https://pertamina.com/id/digitalisasi-spbu--cashless-payment
  20. PricewaterhouseCoopers., 2019. It’s time for a consumer-centred metric : introducing ‘return on experience.’ Global Consumer Insights Survey
  21. Santoso, S, 2018. Mahir Statistik Multivariat dengan SPSS (1st ed.). Jakarta: Elex Media Komputindo
  22. Serener, B, 2019. Testing the homogeneity of non-adopters of internet banking. Business and Economics Research, 10(3), 699–708
  23. Suminar, A, 2020. Pro-Kontra Kebijakan Nontunai di SPBU. Retrieved June 17, 2021, from https://www.suarasurabaya.net/kelanakota/2020/kebijakan-pembayaran-cashless-di-spbu-tuai-pro-dan-kontra/
  24. Talwar, S., Talwar, M., Kaur, P., & Dhir, A., 2020. Consumers’ resistance to digital innovations : A systematic review and framework development. Australasia Marketing Journal
  25. Tee, H., & Ong, H, 2016. Cashless payment and economic growth. Financial Innovation, 2(4), 0–9
  26. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D, 2003. User Acceptance Of Information Technology: Toward A Unified View. MIS Quarterly, 27(3), 425–478
  27. Yoo, J., Choi, S., Hwang, Y., & Yi, M.Y, 2021. The role of user resistance and social influences on the adoption of smartphone : moderating effect of age. Journal of Organizational and End User Computing, 33(2), 36–58

Last update:

  1. Proceedings of the International Colloquium on Business and Economics (ICBE 2022)

    Dian Fitri, Ira Geraldina, Supardi. Advances in Economics, Business and Management Research, 229 , 2022. doi: 10.2991/978-94-6463-066-4_8

Last update: 2024-11-20 18:49:10

No citation recorded.