Using TOE Framework to Explore Determinants Affecting Blockchain Adoption at Vietnamese Logistics Enterprises
Keywords:
Blockchain, logistics, technology adoption, TOE, digitalization.Abstract
Blockchain technology has the significant ability to revolutionizese economic sectors, and the logistics industry is no exception. In Vietnam, there is a growing interest in blockchain technology among logistics enterprises. Therefore, the main focus of this study is to better understand the influence of technology-organization-environment contexts (TOE model) on the behavior of applying blockchain technology in Vietnamese logistics enterprises. To gather data for the study, a survey was conducted with 508 individuals from logistics companies in Vietnam. The results of the study indicated that top-management support plays a crucial role in enhancing the adoption of blockchain technology among logistics enterprises in Vietnam. Several recommendations for businesses to increase the adoption of blockchain technology have been proposed in this study with the aim of improving work efficiency. The study has reinforced previous studies and developed a model for applying blockchain technology in logistics enterprises in Vietnam. The authors hope that their findings will contribute to logistics management and provide valuable information for future research in this field.
Classification number
Economics
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Published
2023-06-30
References
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Chan, F. T. S. & Chong, A. Y. L. (2013). Determinants of mobile supply chain management system diffusion: A structural equation analysis of manufacturing firms. International Journal of Production Research, 51(4): 1196-1213.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems, 13(3). https://doi.org/10.2307/249008
Dowelani, M., Okoro, C. & Olaleye, A. (2022). Factors influencing blockchain adoption in the South African clearing and settlement industry. South African Journal of Economic and Management Sciences, 25(1): 1-11. https://doi.org/10.4102/sajems.v25i1
Gausdal, A., Czachorowski, K. & Solesvik, M. (2018). Applying blockchain technology: evidence from Norwegian companies. Sustainability, 10(6). https://doi.org/10.3390/su10061985
Grover, V. (1993). An empirically derived model for the adoption of customer-based inter-organizational systems. Decision Sciences, 24(3): 603-640.
Haber, S. & Stornetta, W. S. (2007). How to time-stamp a digital document. In Advances in Cryptology-CRYPT0′ 90. Berlin, Heidelberg: Springer Berlin Heidelberg.
Hameed, M. & Counsell, S. (2012). Assessing the influence of environmental and CEO characteristics for adoption of information technology in organizations. Journal of Technology Management & Innovation, 7(1): 64-84.
Hewa, T. et al. (2020). The role of blockchain in 6G: Challenges, opportunities and research directions. In 2020 2nd 6G Wireless Summit (6G SUMMIT). IEEE.
Iansiti, M., & Lakhani, K. R. (2017, January 1). The truth about blockchain. Harvard Business Review. https://hbr.org/2017/01/the-truth-about-blockchain
Jagtap, S., Bader, F., Garcia-Garcia, G., Trollman, H., Fadiji, T. & Salonitis, K. (2020). Food logistics 4.0:
Opportunities and challenges. Logistics, 5(1). https://doi.org/10.3390/logistics5010002
Kuan, K. K. Y. & Chau, P. Y. K. (2001). A perception-based model for EDI adoption in small businesses using a technology-organization-environment framework. Information & Management, 38(8): 507-521. DOI:10.1016/S0378-7206(01)00073-8
Lai, Y., Sun, H. & Ren, J. (2018). Understanding the determinants of big data analytics (BDA) adoption in logistics and supply chain management: an empirical investigation”. The International Journal of Logistics Management, 29(3). DOI:10.1108/IJLM-06-2017-0153
Lohmer, J., Bugert, N. & Lasch, R. (2020). Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: an agent-based simulation study. International Journal of Production Economics, Vol. 228. DOI:10.1016/j.ijpe.2020.107882
Lummus, R. R., Krumwiede, D. W. & Vokurka, R. J. (2001). The relationship of logistics to supply chain management: developing a common industry definition. Industrial Management & Data Systems, 101(8): 426-432. DOI:10.1108/02635570110406730
Meijer, D. B. (20 April 2017). Consequences of the implementation of blockchain technology.
https://repository.tudelft.nl/islandora/object/uuid:da0b8d80-d19e-4149-Bfbd-64b0ca79042a
Mirchandani, D. A. & Motwani, J. (2001). Understanding small business electronic commerce adoption: an
empirical analysis. Computer Information Systems, 41(3): 70-73.
Mishra, A. N., Konana, P. & Barua, A. (2007). Antecedents and consequences of internet use in procurement: an empirical investigation of U.S. manufacturing firms. Information Systems Research, 18(1): 103-120. DOI:10.1287/isre.1070.0115
Moore, S. (17 October 2019). Top trends from Gartner hype cycle for digital government technology. https://www.gartner.com/smarterwithgartner/top-trends-from-gartner-hype-cycle-for-digital-government-technology-2019 Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://www.ussc.gov/sites/default/files/ pdf/training/annual-national-training-seminar/2018/Emerging_Tech_Bitcoin_Crypto.pdf
Oliveira, T., Thomas, M. & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5): 497-510. DOI:10.1016/j.im.2014.03.006
Stylianou, A. C., Robbins, S. S. & Jackson, P. (2003). Perceptions and attitudes about e-commerce development in China: An exploratory study. Journal of Global Information Management, 11(2): 31-47. DOI:10.4018/jgim.2003040102
Swanson, T. (6 April 2015). Consensus-as-a-service: A brief report on the emergence of permissioned, distributed ledger systems. http://www.ofnumbers.com/wp-content/uploads/2015/04/Permissioned-distributed-ledgers.pdf
Tornatzky, L. G. & Fleischer, M. (1990). Processes of technological innovation. New York, NY: Free Press. Vaghani, A., Sood, K. & Yu, S. (2022). Security and QoS issues in blockchain enabled next -generation smart logistic networks: A tutorial. Blockchain: Research and Applications, 3(3): 100082. https://doi.org/10.1016/j.bcra.2022.100082
Vietnamese Government. (2017). Decision No.200/QD-TTg dated 14 February 2017 On approval of action plan regarding increase of competition capacity and development of logistics service in Vietnam until 2025.
