DETERMINANTS OF BLOCKCHAIN ADOPTION INTENTION AMONG TECHNOPRENEURIAL SMEs IN INDONESIA
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Blockchain semakin diakui sebagai pendorong utama transformasi digital dan sumber keunggulan kompetitif bagi pelaku usaha modern. Namun, tingkat adopsi Blockchain di Indonesia masih rendah akibat keterbatasan literasi digital, infrastruktur yang belum memadai dan kurangnya dukungan ekosistem teknologi. Meskipun demikian, teknologi ini memiliki potensi besar dalam meningkatkan efisiensi, transparansi, dan perlindungan data, yang sangat menguntungkan bagi para pelaku usaha berbasis teknologi. Tujuan dari penelitian adalah mengkaji pengaruh ekspektasi kinerja, ekspektasi usaha, pengaruh sosial, dan kondisi pendukung terhadap niat UMKM technopreneur di Jakarta mengadopsi teknologi blockchain. Pendekatan kuantitatif digunakan dengan melibatkan 98 responden yang dipilih secara purposive. Data dikumpulkan melalui survei daring terstruktur dan dianalisis menggunakan PLS-SEM. Hasil penelitian menunjukkan bahwa keempat konstruk yang diuji berpengaruh positif dan signifikan terhadap niat adopsi blockchain. Temuan ini memperkuat relevansi model UTAUT dalam konteks UMKM technopreneur di negara berkembang, sekaligus memberikan implikasi praktis bagi pembuat kebijakan dan penyedia teknologi dalam membangun ekosistem digital yang inklusif untuk memperkuat kinerja operasional dan daya saing UMKM di Indonesia.
Blockchain has increasingly been recognized as a key driver of digital transformation and a source of competitive advantage for modern businesses. However, the adoption rate of blockchain in Indonesia remains relatively low due to limited digital literacy, inadequate infrastructure, and insufficient technological ecosystem support. Despite these challenges, blockchain technology holds great potential to enhance efficiency, transparency, and data security that offering significant benefits for technology-based enterprises. This study aims to examine the influence of performance expectancy, effort expectancy, social influence, and facilitating conditions on the intention among technopreneurial MSMEs in Jakarta to adopt blockchain. A quantitative approach was employed, involving 98 purposively selected respondents. Data were collected through a structured online survey and analyzed using PLS-SEM. The findings reveal that all four constructs have a positive and significant effect on the behavioral intention to adopt blockchain technology. These results reinforce the applicability of the UTAUT model in the context of technopreneurial MSMEs in developing countries. Furthermore, the study provides practical implications for policymakers and technology providers to foster an inclusive digital ecosystem that supports innovation and adoption for enhancing the operational performance and competitiveness of Indonesian MSMEs in the digital era.
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Agi, M. A. N., & Jha, A. K. (2022). Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption. International Journal of Production Economics, 247, 1–15. https://doi.org/10.1016/j.ijpe.2022.108458
Arifin, J., & Soelaiman, L. (2024). Faktor-faktor penentu intensi mahasiswa teknik informatika dalam technopreneurship. Jurnal Manajerial Dan Kewirausahaan, 06(03), 803–810. https://doi.org/10.24912/jmk.v6i3.31613
Chen, C. H. (2023). Extending the technology acceptance model: A new perspective on the adoption of blockchain technology. Human Behavior and Emerging Technologies, 2023, 1–14. https://doi.org/10.1155/2023/4835896
Clohessy, T., Treiblmaier, H., Acton, T., & Rogers, N. (2020). Antecedents of blockchain adoption: An integrative framework. Strategic Change, 29(5), 501–515. https://doi.org/10.1002/jsc.2360
Gruzd, A., Saiphoo, A., & Mai, P. (2024). The lure of decentralized social media: Extending the UTAUT model for understanding users’ adoption of blockchain-based social media. PLoS ONE, 19(8). https://doi.org/10.1371/journal.pone.0308458
Hair, J. F., Hult, G. T., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R. Springer.
Iranmanesh, M., Maroufkhani, P., Asadi, S., Ghobakhloo, M., Dwivedi, Y. K., & Tseng, M. L. (2023). Effects of supply chain transparency, alignment, adaptability, and agility on blockchain adoption in supply chain among SMEs. Computers and Industrial Engineering, 176, 1–12. https://doi.org/10.1016/j.cie.2022.108931
Iriyadi, Meiryani, Avilla, T., Purnomo, A., & Salim, G. (2023). Blockchain utilization in actions to empower digitalization of accounting information systems for small and medium-sized entities in Indonesia. Journal of Theoretical and Applied Information Technology, 17(101), 7033–7044. https://www.researchgate.net/publication/374056790
Kabir, M. R., Islam, M. A., Marniati, & Herawati. (2021). Application of blockchain for supply chain financing: Explaining the drivers using SEM. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 1–30. https://doi.org/10.3390/joitmc7030167
Latif, M. I., & Zakaria, Z. (2020). Factors determine the behavioural intention in adopting the blockchain technology by Malaysian Public Sector officers. Journal of Advanced Research in Business and Management Studies, 20(1), 34–43. https://doi.org/10.37934/arbms.20.1.3443
Li, C., Zhang, Y., & Xu, Y. (2022). Factors influencing the adoption of blockchain in the construction industry: A hybrid approach using PLS-SEM and fsQCA. Buildings, 12(9). https://doi.org/10.3390/buildings12091349
Masa’deh, R., Warrad, L. H., Jahmani, K., Almajali, D., Majali, S. A. L., & Al-Radaideh, A. T. (2024). Antecedents of adoption blockchain: Empirical study in Jordanian firms. International Journal of Data and Network Science, 8(4), 2601–2614. https://doi.org/10.5267/j.ijdns.2024.4.017
Nazim, N. F., Razis, N. M., & Hatta, M. F. M. (2021). Behavioural intention to adopt blockchain technology among bankers in islamic financial system: perspectives in Malaysia. Revista Romana de Informatica Si Automatica, 31(1), 11–28. https://doi.org/10.33436/v31i1y202101
Onyekwere, E., Ogwueleka, F. N., & Irhebhude, M. E. (2023). Adoption and sustainability of bitcoin and the blockchain technology in Nigeria. International Journal of Information Technology (Singapore), 15(5), 2793–2804. https://doi.org/10.1007/s41870-023-01336-1
Pham, C. T., & Thi Nguyet, T. T. (2023). Determinants of blockchain adoption in news media platforms: A perspective from the Vietnamese press industry. Heliyon, 9(1). https://doi.org/10.1016/j.heliyon.2022.e12747
Ruangkanjanases, A., Qhal, E. M. A., Alfawaz, K. M., & Hariguna, T. (2023). Examining the antecedents of blockchain usage intention: An integrated research framework. Sustainability (Switzerland), 15(4). https://doi.org/10.3390/su15043500
Shrestha, A. K., & Vassileva, J. (2019). User acceptance of usable blockchain-based research data sharing system: An extended TAM-based study. First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 203–208. https://doi.org/10.1109/TPS-ISA48467.2019.00033.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425.
Vijh, G., Sharma, R., & Agrawal, S. (2023). Blockchain-Enabled intelligent solution using structured equation modelling based on the UTAUT framework. SN Computer Science, 4(6), 1–9. https://doi.org/10.1007/s42979-023-02150-z
Wamba, S. Fosso., Queiroz, M. M., & Trinchera, L. (2020). Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation. International Journal of Production Economics, 229, 1–15. https://doi.org/10.1016/j.ijpe.2020.107791
Wong, L. W., Tan, G. W. H., Lee, V. H., Ooi, K. B., & Sohal, A. (2020). Unearthing the determinants of Blockchain adoption in supply chain management. International Journal of Production Research, 58(7), 2100–2123. https://doi.org/10.1080/00207543.2020.1730463
Woo, C., & Yoo, J. (2023). Exploring the determinants of blockchain acceptance for research data management. Journal of Computer Information Systems, 63(1), 216–227. https://doi.org/10.1080/08874417.2022.2049019
Zhang, Q., Khan, S., Khan, S. U., & Khan, I. U. (2023). Understanding blockchain technology adoption in operation and supply chain management of Pakistan: Extending UTAUT model with technology readiness, technology affinity and trust. SAGE Open, 13(4), 1–17. https://doi.org/10.1177/21582440231199320