Barriers to blockchain implementation in supply chain finance – based on perspectives of grey transaction behaviour
DOI: https://doi.org/10.3846/jbem.2025.24903Abstract
The purpose of this study is to identify grey transaction behaviours that function as barriers to blockchain implementation in supply chain finance, explore which obstructions arise from these grey transaction behaviours and subsequently hinder blockchain implementation, and further measure the influence levels of the corresponding implementation barriers. The Delphi method and DANP are the main analysis methods used in this study. According to the analysis, three grey transaction behaviours that function as implementation barriers are identified, namely, kickbacks, internal and external accounting, and informal transaction relationships with banks. In addition, seven obstructions arise from these three barriers, and these obstructions can be adopted to explain why the three barriers hinder blockchain implementation. Finally, although internal and external accounting represents the main barrier, informal transaction relationships with banks may function as a critical underlying barrier that enhances the other two barriers. This study contributes in that it fills the gap of existing studies related to the intersection of supply chain finance and blockchain and provides a new perspective enabling practitioners to rethink how blockchain can be successfully implemented in the context of supply chain finance.
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blockchain, implementation barriers, supply chain finance, Delphi method, grey transaction behaviour, DANPHow to Cite
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Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
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References
Akkermans, H. A., Bogerd, P., Yücesan, E., & Van Wassenhove, L. N. (2003). The impact of ERP on supply chain management: Exploratory findings from a European Delphi study. European Journal of Operational Research, 146(2), 284–301. https://doi.org/10.1016/S0377-2217(02)00550-7
Aune, R. T., Krellenstein, A., O’Hara, M., & Slama, O. (2018). Footprints on a blockchain: Trading and information leakage in distributed ledgers. The Journal of Trading, 13(4), 49–57. https://doi.org/10.3905/jot.2017.12.3.005
Aussprung, L. (1998). Fraud and abuse: Federal civil health care litigation and settlement. Journal of Legal Medicine, 19(1), 1–62. https://doi.org/10.1080/01947649809511052
Bindi, T. (2017, May 23). Alibaba and AusPost team up to tackle food fraud with blockchain. https://www.zdnet.com/article/alibaba-and-auspost-team-up-to-tackle-food-fraud-with-blockchain/
Black, R. A. (2019). Accounting and the auditing function in economic history: Transaction costs, trust, and economic progress. Journal of Markets & Morality, 22(1), 41–65. https://www.marketsandmorality.com/index.php/mandm/article/download/1388/1138
Bouzon, M., Govindan, K., Rodriguez, C. M. T., & Campos, L. M. (2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, Conservation and Recycling, 108, 182–197. https://doi.org/10.1016/j.resconrec.2015.05.021
Burritt, R. L., Hahn, T., & Schaltegger, S. (2002). Towards a comprehensive framework for environmental management accounting – Links between business actors and environmental management accounting tools. Australian Accounting Review, 12(27), 39–50. https://doi.org/10.1111/j.1835-2561.2002.tb00202.x
Carnovale, S., Rogers, D. S., & Yeniyurt, S. (2019). Broadening the perspective of supply chain finance: The performance impacts of network power and cohesion. Journal of Purchasing and Supply Management, 25(2), 134–145. https://doi.org/10.1016/j.pursup.2018.07.007
Chen, J., Cai, T., He, W., Chen, L., Zhao, G., Zou, W., & Guo, L. (2020). A blockchain-driven supply chain finance application for auto retail industry. Entropy, 22(1), Article 95. https://doi.org/10.3390/e22010095
Chen, X., & Cheng, X. (2024). How does the digital economy affect corporate business credit supply?. Journal of Business Economics and Management, 25(4), 685–708. https://doi.org/10.3846/jbem.2024.22027
Chen, Y. J. (2011). Structured methodology for supplier selection and evaluation in a supply chain. Information Sciences, 181(9), 1651–1670. https://doi.org/10.1016/j.ins.2010.07.026
Chen, F. H., Hsu, T. S., & Tzeng, G. H. (2011). A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP. International Journal of Hospitality Management, 30(4), 908–932. https://doi.org/10.1016/j.ijhm.2011.02.001
Chod, J., Trichakis, N., Tsoukalas, G., Aspegren, H., & Weber, M. (2020). On the financing benefits of supply chain transparency and blockchain adoption. Management Science, 66(10), 4378–4396. https://doi.org/10.1287/mnsc.2019.3434
Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458–467. https://doi.org/10.1287/mnsc.9.3.458
Demica, S. S. (2007). The growing role of supply chain finance in a changing world. Demica Report Series.
Dong, L., Qiu, Y., & Xu, F. (2023). Blockchain-enabled deep-tier supply chain finance. Manufacturing & Service Operations Management, 25(6), 2021–2037. https://doi.org/10.1287/msom.2022.1123
Du, M., Chen, Q., Xiao, J., Yang, H., & Ma, X. (2020). Supply chain finance innovation using blockchain. IEEE Transactions on Engineering Management, 67(4), 1045–1058. https://doi.org/10.1109/TEM.2020.2971858
Dyckman, B. (2009). Integrating supply chain finance into the payables process. Journal of Payments Strategy & Systems, 3(4), 311–319. https://doi.org/10.69554/VDLX4343
Fellenz, M. R., Augustenborg, C., Brady, M., & Greene, J. (2009). Requirements for an evolving model of supply chain finance: A technology and service providers perspective. Communications of the IBIMA, 10(29), 227–235.
Gelsomino, L. M., de Boer, R., Steeman, M., & Perego, A. (2019). An optimisation strategy for concurrent Supply Chain Finance schemes. Journal of Purchasing and Supply Management, 25(2), 185–196. https://doi.org/10.1016/j.pursup.2018.07.004
Gao, W., & Chen, P. K. (2021, December). Analysis of barriers to implement blockchain in supply chain finance. In Proceedings of the 2021 3rd International Conference on E-Business and E-commerce Engineering (pp. 46–52). Association for Computing Machinery. https://doi.org/10.1145/3510249.3510258
Gelsomino, L. M., Sardesai, S., Pirttilä, M., & Henke, M. (2023). Addressing the relation between transparency and supply chain finance schemes. International Journal of Production Research, 61(17), 5806–5821. https://doi.org/10.1080/00207543.2022.2115575
Gomm, M. L. (2010). Supply chain finance: Applying finance theory to supply chain management to enhance finance in supply chains. International Journal of Logistics: Research and Applications, 13(2), 133–142. https://doi.org/10.1080/13675560903555167
Hammi, M. T., Hammi, B., Bellot, P., & Serhrouchni, A. (2018). Bubbles of trust: A decentralized blockchain-based authentication system for IoT. Computers & Security, 78, 126–142. https://doi.org/10.1016/j.cose.2018.06.004
Hansen, D. R., & Mowen, M. M. (2007). Managerial Accounting. South-Western.
Hofmann, E. (2005). Supply chain finance: Some conceptual insights. In Beiträge Zu Beschaffung Und Logistik (pp. 203–214). Springer. https://doi.org/10.1007/978-3-658-03815-1
Hofmann, E., Strewe, U. M., & Bosia, N. (2017). Supply chain finance and blockchain technology: The case of reverse securitisation. Springer. https://doi.org/10.1007/978-3-319-62371-9
Jackson, B. (2017). Canada’s first commercial blockchain service could become the ‘Interac’ for digital transactions. IT World Canada News, 1–5.
Kaur, J., Kumar, S., Narkhede, B. E., Dabić, M., Rathore, A. P. S., & Joshi, R. (2024). Barriers to blockchain adoption for supply chain finance: The case of Indian SMEs. Electronic Commerce Research, 24(1), 303–340. https://doi.org/10.1007/s10660-022-09566-4
Kotobi, K., & Bilen, S. G. (2018). Secure blockchains for dynamic spectrum access: A decentralized database in moving cognitive radio networks enhances security and user access. IEEE Vehicular Technology Magazine, 13(1), 32–39. https://doi.org/10.1109/MVT.2017.2740458
Kucukaltan, B., Kamasak, R., Yalcinkaya, B., & Irani, Z. (2024). Investigating the themes in supply chain finance: The emergence of blockchain as a disruptive technology. International Journal of Production Research, 62(22), 8173–8192. https://doi.org/10.1080/00207543.2022.2118886
Lee Kuo Chuen, D. (2015). Handbook of digital currency. Elsevier.
Li, G. (2023). Application of blockchain in supply chain finance. Information Systems and Economics, 4(10), 13–19. https://doi.org/10.23977/infse.2023.041003
Li, J., Wang, Y., Li, Y., & Li, Q. L. (2019, November). A simple survey for supply chain finance risk management with applications of blockchain. In International conference of celebrating Professor Jinhua Cao’s 80th birthday (pp. 116–133). Springer, Singapore. https://doi.org/10.1007/978-981-15-0864-6_5
Li, Y. (2021, March). Optimization strategy of supply chain financial platform based on blockchain. In The international conference on cyber security intelligence and analytics (pp. 125–130). Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_17
Ma, J. H., Ahn, Y. H., & Choi, S. B. (2018). The impact of the buyer participation in CSR activities on a supply chain. Journal of Distribution Science, 16(3), 23–32. https://doi.org/10.15722/jds.16.3.201803.23
MacCarthy, B. L., & Atthirawong, W. (2003). Factors affecting location decisions in international operations – a Delphi study. International Journal of Operations & Production Management, 23(7), 794–818. https://doi.org/10.1108/01443570310481568
Minaam, D. S. A. (2018). Smart kitchen: Automated cooker technique using IoT. International Journal of Electronics and Information Engineering, 9(1), 1–10.
Mohamed, N., & Al-Jaroodi, J. (2019, January). Applying blockchain in industry 4.0 applications. In 2019 IEEE 9th annual computing and communication workshop and conference (CCWC) (pp. 0852–0858). IEEE. https://doi.org/10.1109/CCWC.2019.8666558
Monrat, A. A., Schelén, O., & Andersson, K. (2019). A survey of blockchain from the perspectives of applications, challenges, and opportunities. IEEE Access, 7, 117134–117151. https://doi.org/10.1109/ACCESS.2019.2936094
Moorehead, C. (2019). Need to negotiate: The strategic ambiguity of dealing with kidnappers. TLS. Times Literary Supplement, (6063), 12–13.
More, D., & Basu, P. (2013). Challenges of supply chain finance: A detailed study and a hierarchical model based on the experiences of an Indian firm. Business Process Management Journal, 19(4), 624–647. https://doi.org/10.1108/BPMJ-09-2012-0093
Mouzos, J. (1999). International traffic in small arms: an Australian perspective. Trends & Issues in Crime & Criminal Justice, (104), 1–6. https://read-me.org/s/International-small-Australia.pdf
Murphet, J. (2020). block/supply/chain. Australian Humanities Review, (66), 181–187. https://australianhumanitiesreview.org/wp-content/uploads/2020/05/AHR66_12_Murphet.pdf
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. (Decentralized Business Review 21260). https://static.upbitcare.com/931b8bfc-f0e0-4588-be6e-b98a27991df1.pdf
Nguyen, G. T., & Kim, K. (2018). A survey about consensus algorithms used in blockchain. Journal of Information Processing Systems, 14(1), 101–128. https://volunteerscience.com/media/research_teams/Luke’s%20Sandbox/consent_forms/revised_proposal.2.pdf
Nomura Research Institute. (2015). Survey on blockchain technologies and related services (Technical Report).
Oh, K., Yoo, H., & Jeong, E. (2023). Research trends in digital transformation in supply chain based on bibliometric and network analysis. Journal of Business Economics and Management, 24(6), 1042–1058. https://doi.org/10.3846/jbem.2023.20649
Riikkinen, M., Saarijärvi, H., Sarlin, P., & Lähteenmäki, I. (2018). Using artificial intelligence to create value in insurance. International Journal of Bank Marketing, 36(6), 1145–1168. https://doi.org/10.1108/IJBM-01-2017-0015
Saaty, T. L. (2004, August). The analytic network process: Dependence and feedback in decision making (Part 1): Theory and validation examples, SESSION 4B: Theory and development of the analytic hierarchy process/analytic network process. In The 17th International Conference on Multiple Criteria Decision Making (pp. 6–11).
Sang, B. (2021). Application of genetic algorithm and BP neural network in supply chain finance under information sharing. Journal of Computational and Applied Mathematics, 384, Article 113170. https://doi.org/10.1016/j.cam.2020.113170
Sargent, C. S., & Breese, J. L. (2024). Blockchain barriers in supply chain: A literature review. Journal of Computer Information Systems, 64(1), 124–135. https://doi.org/10.1080/08874417.2023.2175338
Schmidt, R., Lyytinen, K., Keil, M., & Cule, P. (2001). Identifying software project risks: An international Delphi study. Journal of Management Information Systems, 17(4), 5–36. https://doi.org/10.1080/07421222.2001.11045662
Seuring, S., & Müller, M. (2008). Core issues in sustainable supply chain management – a Delphi study. Business Strategy and the Environment, 17(8), 455–466. https://doi.org/10.1002/bse.607
Shieh, J. I., Wu, H. H., & Huang, K. K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277–282. https://doi.org/10.1016/j.knosys.2010.01.013
Tseng, M. L. (2009). Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila. Environmental Monitoring and Assessment, 156(1), 181–197. https://doi.org/10.1007/s10661-008-0477-1
Tufa, A. G., & Teshu, M. M. (2015). The Impact of customer relationship marketing on customer satisfaction; A case study on selected commercial banks in Ethiopia. ZENITH International Journal of Business Economics & Management Research, 5(6), 215–228.
Tzeng, G. H., Chiang, C. H., & Li, C. W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32(4), 1028–1044. https://doi.org/10.1016/j.eswa.2006.02.004
Wang, S., Xiao, P., Chai, H., Tu, X., Sun, Q., Cai, H., & Wang, F. Y. (2021, July). Research on construction of supply chain financial platform based on blockchain technology. In 2021 IEEE 1st international conference on digital twins and parallel intelligence (DTPI) (pp. 42–45). IEEE. https://doi.org/10.1109/DTPI52967.2021.9540119
Withers, B., & Ebrahimpour, M. (2018). The effects of codes of ethics on the supply chain: A comparison of LEs and SMEs. Journal of Business and Economic Studies, 19(1), Article 3766. https://jbes.scholasticahq.com/article/3766.pdf
Wu, T., & Liang, X. (2017, August). Exploration and practice of inter-bank application based on blockchain. In 2017 12th international conference on computer science and education (ICCSE) (pp. 219–224). IEEE. https://doi.org/10.1109/ICCSE.2017.8085492
Wuttke, D. A., Blome, C., Heese, H. S., & Protopappa-Sieke, M. (2016). Supply chain finance: Optimal introduction and adoption decisions. International Journal of Production Economics, 178, 72–81. https://doi.org/10.1016/j.ijpe.2016.05.003
Xiao, P., Salleh, M. I., Zaidan, B. B., & Xuelan, Y. (2023). Research on risk assessment of blockchain-driven supply chain finance: A systematic review. Computers & Industrial Engineering, 176, Article 108990. https://doi.org/10.1016/j.cie.2023.108990
Xie, P., Chen, Q., Qu, P., Fan, J., & Tang, Z. (2020). Research on financial platform of railway freight supply chain based on blockchain. Smart and Resilient Transport, 2(2), 69–84. https://doi.org/10.1108/SRT-09-2020-0007
Xu, X., Chen, X., Jia, F., Brown, S., Gong, Y., & Xu, Y. (2018). Supply chain finance: A systematic literature review and bibliometric analysis. International Journal of Production Economics, 204, 160–173. https://doi.org/10.1016/j.ijpe.2018.08.003
Yan, H. S., & Kim, H. H. (2021). Opportunities and risks faced by the combination of blockchain and supply chain finance. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(13), 6154–6161.
Yang, Y. P. O., Shieh, H. M., Leu, J. D., & Tzeng, G. H. (2008). A novel hybrid MCDM model combined with DEMATEL and ANP with applications. International Journal of Operations Research, 5(3), 160–168. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=0c35c3655b8af88cba020d0a35ba727ea12b9a24
Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology? – A systematic review. PloS ONE, 11(10), Article e0163477. https://doi.org/10.1371/journal.pone.0163477
Zhang, T., Zhang, C. Y., & Pei, Q. (2019). Misconception of providing supply chain finance: Its stabilising role. International Journal of Production Economics, 213, 175–184. https://doi.org/10.1016/j.ijpe.2019.03.008
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017, June). An overview of blockchain technology: Architecture, consensus, and future trends. In 2017 IEEE International Congress on Big Data (BigData congress) (pp. 557–564). IEEE. https://doi.org/10.1109/BigDataCongress.2017.85
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