Blockchain affordances and trust pathways to purchase intention and loyalty in e-commerce: Evidence from Vietnam
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DOIhttp://dx.doi.org/10.21511/im.22(2).2026.17
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Article InfoVolume 22 2026, Issue #2, pp. 242-259
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Type of the article: Research Article
Abstract
Trust remains an important issue in consumer adoption of e-commerce, particularly in contexts characterized by information asymmetry and perceived online transaction risk. This study examines how perceived blockchain-enabled affordances, including transparency, security, decentralization, and control, are associated with consumer trust and how trust relates to purchase intention and loyalty, while testing the moderating role of blockchain literacy. Data were collected through a purposive online survey of Vietnamese e-commerce users between March and June 2025. The questionnaire was administered using Google Forms and distributed through e-commerce-related groups, blockchain-related communities, university networks, and social media platforms. After screening incomplete and low-quality responses, 427 valid questionnaires from respondents with prior experience of blockchain-enabled applications were retained for analysis using PLS-SEM. The results show that transparency (β = 0.29, p < 0.001) and security (β = 0.25, p < 0.001) are positively associated with consumer trust, followed by decentralization (β = 0.17, p = 0.001) and perceived control (β = 0.14, p = 0.011). Moderation tests indicate that blockchain literacy strengthens the effects of transparency (β = 0.11, p = 0.005) and security (β = 0.09, p = 0.024) on trust. The model explains meaningful variance in trust (R² = 0.61), purchase intention (R² = 0.57), and loyalty (R² = 0.53). These findings suggest that blockchain may contribute to consumer trust in e-commerce when transparency and security are made visible, understandable, and relevant to consumers through platform design and communication.
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JEL Classification (Paper profile tab)M31, L86, O33, C83
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References42
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Tables8
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Figures4
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- Figure 1. Research model and hypotheses
- Figure 2. Structural model results
- Figure 3A. Simple slope of the moderating effect of blockchain literacy on the relationship between perceived transparency and consumer trust
- Figure 3B. Simple slope of the moderating effect of blockchain literacy on the relationship between perceived security and consumer trust
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- Table 1. Measurement scales, sources, and item counts
- Table 2. Respondent profile (n = 427)
- Table 3. Reliability and convergent validity of constructs
- Table 4. Fornell-Larcker discriminant validity matrix (√AVE on diagonal)
- Table 5. Path coefficients and hypothesis testing results
- Table 6. Mediation analysis results (bootstrapping, n = 427)
- Table 7. Moderation analysis results (bootstrapping, n = 427)
- Table A1. Summary of constructs and theoretical links
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- Bricci, L., Fragata, A., & Antunes, J. (2015). The Effects of Trust, Commitment and Satisfaction on Customer Loyalty in the Distribution Sector. Journal of Business Economics and Management, 4.
- Casino, F., Dasaklis, T. K., & Patsakis, C. (2019). A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics and Informatics, 36, 55-81.
- Duan, Y., & Zhu, Q. (2025). Blockchain empowerment: enhancing consumer trust and outreach through supply chain transparency. International Journal of Production Research, 63(14), 5358-5382.
- Ferreira da Silva, C., & Moro, S. (2021). Blockchain technology as an enabler of consumer trust: A text mining literature analysis. Telematics and Informatics, 60, 101593.
- Gefen, D., Karahanna, E., & Straub, D. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27, 51-90.
- Girimurugan, B., Venkatesan, T., P, A., Gogada, S., Fufa, G., & Peswani, M. (2024). Blockchain for E-Commerce: Revolutionizing Security and Trust. In Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning (pp. 333-360).
- Guntara, R., Nurfirmansyah, M., & Ferdiansyah. (2023). Blockchain Implementation in E-Commerce to Improve The Security Online Transactions. Journal of Scientific Research, Education, and Technology (JSRET), 2, 328-338.
- Hair, J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.
- Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183-191.
- Hajli, N., Sims, J., Zadeh, A. H., & Richard, M.-O. (2017). A social commerce investigation of the role of trust in a social networking site on purchase intentions. Journal of Business Research, 71, 133-141.
- Henseler, J., Ringle, C., & Sarstedt, M. (2015). Testing Measurement Invariance of Composites Using Partial Least Squares. International Marketing Review, 33.
- Hina, M., Islam, N., & Luo, X. (2025). Towards sustainable consumption decision-making: Examining the interplay of blockchain transparency and information-seeking in reducing product uncertainty. Decision Support Systems, 189, 114370.
- Hoffman, D., Novak, T., & Peralta, M. (1999). Building Consumer Trust Online. Communications of the ACM, 42, 80-85.
- Jiang, J., Elmaghraby, W., & Moon, K. (2023). An Empirical Study of Blockchain-Driven Transparency in a Consumer Marketplace. SSRN Electronic Journal.
- Judijanto, L., Mardianto, D., & Said, S. (2025). The Effect of Trust, Transparency, and Security on the Success of Blockchain-Based Decentralized Crowdfunding. West Science Journal Economic and Entrepreneurship, 3, 125-136.
- Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564.
- Kim, H.-W., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust? Electronic Commerce Research and Applications, 11(3), 241-252.
- Kshetri, N. (2018). 1 Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80-89.
- Luukela-Tandon, A., Dhir, A., Talwar, S., Kaur, P., & Mäntymäki, M. (2021). Dark consequences of social media-induced fear of missing out (FoMO): Social media stalking, comparisons, and fatigue. Technological Forecasting and Social Change, 171, 120931.
- Ma, D., Ma, P., & Hu, J. (2024). The Impact of Blockchain Technology Adoption on an E-Commerce Closed-Loop Supply Chain Considering Consumer Trust. Sustainability, 16(4), 1535.
- McKnight, D., Choudhury, V., & Kacmar, C. (2002). Developing and Validating Trust Measures for e-Commerce: An Integrative Typology. Information Systems Research, 13, 334-359.
- Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. The MIT Press.
- Morgan, R., & Hunt, S. (1994). The Commitment-Trust Theory of Relationship Marketing. The Journal of Marketing, 58, 20-38.
- Norbu, T., Park, J. Y., Wong, K. W., & Cui, H. (2024). Factors Affecting Trust and Acceptance for Blockchain Adoption in Digital Payment Systems: A Systematic Review. Future Internet, 16(3), 106.
- Norbu, T., Park, J. Y., Wong, K. W., & Cui, H. (2025). Understanding Consumer Acceptance for Blockchain-Based Digital Payment Systems in Bhutan. Future Internet, 17(4), 134.
- Oliver, R. L. (1999). Whence Consumer Loyalty? Journal of Marketing, 63, 33-44.
- Ovezik, C., Karakostas, D., & Kiayias, A. (2025). SoK: A Stratified Approach to Blockchain Decentralization. Financial Cryptography and Data Security. Cham.
- Pasaribu, F., Sari, W., Bulan, T., & Astuty, W. (2022). The effect of e-commerce service quality on customer satisfaction, trust and loyalty. International Journal of Data and Network Science, 6, 1077-1084.
- Pavlou, P. A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101-134.
- Podsakoff, P., MacKenzie, S., Lee, J.-Y., & Podsakoff, N. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88, 879-903.
- Roopnarain, M., & Mwapwele, S. D. (2025). Factors influencing the adoption and usage of blockchain in e-commerce: A systematic literature review. African Journal of Science, Technology, Innovation and Development, 17(2), 238-251.
- Sattar, M., & Sattar, B. (2012). Customer Satisfaction Affects the Customer Loyalty: Evidence from Telecommunication Sector in Pakistan. African Journal of Business Management, 4, 252-259.
- Singh, C., Dash, M. K., Sahu, R., & Kumar, A. (2024). Investigating the acceptance intentions of online shopping assistants in E-commerce interactions: Mediating role of trust and effects of consumer demographics. Heliyon, 10(3), e25031.
- Spence, M. (1973). Job Market Signaling. The Quarterly Journal of Economics, 87(3), 355-374.
- Tandon, A., Kaur, P., Mäntymäki, M., & Dhir, A. (2021). Blockchain applications in management: A bibliometric analysis and literature review. Technological Forecasting and Social Change, 166, 120649.
- Toufaily, E., & Zalan, T. (2024). In blockchain we trust? Demystifying the “trust” mechanism in blockchain ecosystems. Technological Forecasting and Social Change, 206, 123574.
- Truong, N., Lee, G. M., Sun, K., Guitton, F., & Guo, Y. (2021). A blockchain-based trust system for decentralised applications: When trustless needs trust. Future Generation Computer Systems, 124, 68-79.
- Van Dijk, J. A. G. M., & Deursen, A. J. A. M. (2014). The digital divide shifts to differences in usage. New Media & Society, 16, 507-526.
- Wang, R., Tsai, W.-T., He, J., Liu, C., & Deng, E. (2018). A Distributed Digital Asset-Trading Platform Based on Permissioned Blockchains. Smart Blockchain. Cham.
- Wathieu, L., Brenner, L., Carmon, Z., Chattopadhyay, A., Wertenbroch, K., Drolet, A., Gourville, J., Muthukrishnan, A. V., Novemsky, N., Ratner, R. K., & Wu, G. (2002). Consumer Control and Empowerment: A Primer. Marketing Letters, 13(3), 297-305.
- Zeithaml, V., Berry, L., & Parasuraman, A. (1996). The Behavioral Consequences of Service Quality. Journal of Marketing, 60.
- Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017). An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends. 2017 IEEE International Congress on Big Data (BigData Congress).


