FROM COMPLEXITY TO CLARITY: A DEMATEL ANALYSIS OF CRITICAL BLOCKCHAIN TECHNOLOGY ADOPTION FACTORS
DOI:
https://doi.org/10.15282/jgi.7.1.2024.10374Keywords:
Blockchain, Supply chain, DEMATEL, Critical analysis, Adoption factorsAbstract
This exploration is initiated with resolute authentic intention of unravelling complex and intricate topics surrounding the adoption of blockchain technology in supply chain management. Thus, through the operation of DEMATEL (Decision Making Trial and Evaluation Laboratory) analysis, a methodological approach known for capturing and evaluating complex relationships is rather crucial as it could transition the complexity inherent in these factors to a state of clarity. It delves into three influences of technological factors namely, scalability, interoperability, and security that serve as decisive influence on blockchain adoption. The study explores the influence of those technological factors and the dynamic of collective impact on decision-making process in blockchain adoption within the supply chain context. The findings produced from this study hold strong implications for practitioners, policymakers, and researchers seeking to enhance the strategic adoption of blockchain technology in supply chain ecosystems.
References
Alfred Taudes, U.-P., & Tian, F. (2018). An Information System for Food Safety Monitoring in Supply Chains Based on HACCP, Blockchain and Internet of Things. Institute for Production Management (Taudes).
Babich, V., & Hilary, G. (2019). Distributed Ledgers and Operations: What Operations Management Researchers Should Know about Blockchain Technology. Manufacturing and Service Operations Management, 22(2), 223-240.
Batubara, F. R., Ubacht, J., & Janssen, M. (2018). Challenges of blockchain technology adoption for e-government: A systematic literature review. Association for Computing Machinery. 76, 1-9.
Bealt, J., Fernández Barrera, J. C., & Mansouri, S. A. (2016). Collaborative relationships between logistics service providers and humanitarian organizations during disaster relief operations. Journal of Humanitarian Logistics and Supply Chain Management, 6(2), 118–144.
Behnke, K., & Janssen, M. F. W. H. A. (2020). Boundary conditions for traceability in food supply chains using blockchain technology. International Journal of Information Management, 52, 101969.
Bryman, A. (2016). Social research methods. Oxford University Press.
Buchmann, N., Hellmann, T., & Stephan, A. (2018). The Legal Nature of Smart Contracts. In M. Swan (Ed.), Blockchain: Blueprint for a New Economy (pp. 123-136). O'Reilly Media.
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2019). Blockchain-based traceability in Agri-Food Supply Chain Management: A practical implementation. 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany).
Chang, S. E., & Chen, Y. (2020). When blockchain meets supply chain: A systematic literature review on current development and potential applications. IEEE Access, 8, 62478–62494.
Chang, S.-I., & Chen, H.-L. (2015). The application of the DEMATEL method in exploring the critical factors affecting the adoption of cloud computing. Journal of Business Research, 68(9), 1946-1953
Clohessy, T., & Acton, T. (2019). Investigating the influence of organizational factors on blockchain adoption: An innovation theory perspective. Industrial Management and Data Systems, 119(7), 1457–1491.
Galal, H. S., & Youssef, A. M. (2018). Verifiable Sealed-Bid Auction on the Ethereum Blockchain. IACR Cryptol ePrint Arch, 704, 1-14.
Gökalp, E., Gökalp, M. O., & Çoban, S. (2022). Blockchain-Based Supply Chain Management: Understanding the Determinants of Adoption in the Context of Organizations. Information Systems Management, 39(2), 100–121.
Hileman, G., & Rauchs, M. (2017). Global blockchain benchmarking study. Cambridge Centre for Alternative Finance.
Iansiti, M., & Lakhani, K. R. (2017). The truth about blockchain. Harvard Business Review, 95(1), 118-127.
Ivanov, D., & Dolgui, A. (2019). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 30(10-12), 896-909.
Kamble, S. S., Gunasekaran, A., & Sharma, R. (2020). Modeling the blockchain enabled traceability in agriculture supply chain. International Journal of Information Management, 52, 101967.
Kearns, G. S., & Sabherwal, R. (2006). Strategic alignment between business and information technology: A knowledge-based view of behaviors, outcome, and consequences. Journal of Management Information Systems, 23(3), 129–162.
Kleijnen, M., Lee, N., & Wetzels, M. (2009). An exploration of consumer resistance to innovation and its antecedents. Journal of Economic Psychology, 30(3), 344–357.
Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, 107831.
Kraft, D. (2016). Difficulty control for blockchain-based consensus systems. Peer-to-Peer Networking and Applications, 9(2), 397–413.
Kritchanchai, D., Hoeur, S., & Engelseth, P. (2018). Develop a strategy for improving healthcare logistics performance. Supply Chain Forum: An International Forum, 19(1), 55–69.
Lacity, M. C., Yan, A., & Willcocks, L. P. (2020). A new approach to automating services. MIT Sloan Management Review, 61(3), 49–58.
Lee, J., Kao, H. A., & Yang, S. (2017). Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP, 61, 546-551
Leimeister, J. M., Knebel, U., & Krcmar, H. (2007). RFID as enabler for the boundless real-time organisation: empirical insights from Germany. International Journal of Networking and Virtual Organisations, 4(1), 45-64.
Liu, C., & Xiao, Y. (2021). The adoption of blockchain technology in supply chain management: a research review. International Journal of Information Management, 57, 102312
Mainelli, M., & Smith, M. (2015). Sharing ledgers for sharing economies: an exploration of mutual distributed ledgers (aka blockchain technology). Journal of Financial Perspectives, 3(3), 38-58.
Martin, S. L., Javalgi, R. (Raj) G., & Ciravegna, L. (2020). Marketing capabilities and international new venture performance: The mediation role of marketing communication and the moderation effect of technological turbulence. Journal of Business Research, 107, 25–37.
Swan, M. (2015). Blockchain: Blueprint for a new economy. O'Reilly Media, Inc.
Mendling, J., Weber, I., van der Aalst, W., Brocke, J. vom, Cabanillas, C., Daniel, F., Debois, S., di Ciccio, C., Dumas, M., Dustdar, S., Gal, A., García-Bañuelos, L., Governatori, G., Hull, R., la Rosa, M., Leopold, H., Leymann, F., Recker, J., Reichert, M., & Zhu, L. (2018). Blockchains for business process management - Challenges and opportunities. ACM Transactions on Management Information Systems, 9(1), 1-16.
Meng, W., Li, W., Tug, S., & Tan, J. (2020). Towards blockchain-enabled single character frequency-based exclusive signature matching in IoT-assisted smart cities. Journal of Parallel and Distributed Computing, 144, 268–277.
Moezkarimi, Z., Abdollahei, F., & Arabsorkhi, A. (2019). Proposing a Framework for Evaluating the Blockchain Platform. IEEE, 5, 152-160.
Mougayar, W. (2016). The Business Blockchain: Promise, Practice, and Application of the Next Internet Technology. John Wiley & Sons.
Mumford, E. (2006). Effective information systems management: Organizational and human considerations. Information Systems Management, 23(3), 7-22.
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf
O’Dwyer, R. (2019). Cache society: transactional records, electronic money, and cultural resistance. Journal of Cultural Economy, 12(2), 133-153.
Ølnes, S., Ubacht, J., & Janssen, M. (2017). Blockchain in government: Benefits and implications of distributed ledger technology for information sharing. Government Information Quarterly, 34(3), 355–364.
Orlikowski, W. J., & Iacono, C. S. (2001). Research Commentary: Desperately Seeking the "IT" in IT Research—A Call to Theorizing the IT Artifact. Information Systems Research, 12(2), 121-134.
Öztürk, C., & Yildizbaşi, A. (2020). Barriers to implementation of blockchain into supply chain management using an integrated multi-criteria decision-making method: a numerical example. Soft Computing, 24(19), 14771–14789.
Pawczuk, L., Holdowsky, J., Masssey, R., & Hansen, B. (2020). Deloitte’s 2020 Global Blockchain Survey: From promise to reality. Deloitte Insights. 1-44.
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.
Sumrit, D., & Anuntavoranich, P. (2013). Using DEMATEL Method to Analyze the Causal Relations on Technological Innovation Capability Evaluation Factors in Thai Technology-Based Firms. International Transaction Journal of Engineering, 4 (2), 81-103. http://TuEngr.com/V04/081-103.pdfhttp://TuEngr.com
Tapscott Don & Tapscott Alex (2016). Blockchain revolution: how the technology behind Bitcoin is changing money, business, and the world. Penguin
Tapscott, D., & Tapscott, A. (2016). The impact of the blockchain goes beyond financial services. Harvard business review, 10(7), 2-5.
Tasca, P., Tessone, C. J., & Cherubini, A. (2018). Blueprint for a financially inclusive and self-sustainable system. Frontiers in Blockchain, 1, 4.
Trakintas, D., & Fleisch, E. (2019). Blockchain in the Internet of Things: Architectures and implementation. Internet of Things, 8, 100118.
Wang, H., Xu, L. D., & Xu, E. (2021). Blockchain-based Internet of Things and its applications in supply chain management. Journal of Industrial Information Integration, 22, 100171.
Wang, Y. M., Chin, K. S., & Poon, G. K. K. (2016). Applying the decision-making trial and evaluation laboratory to assess experts’ risk attitudes toward construction projects. Journal of Construction Engineering and Management, 142(1), 04015045.
Wang, Y., & Kogan, A. (2018). Designing confidentiality-preserving Blockchain-based transaction processing systems. International Journal of Accounting Information Systems, 30, 1–18.
Wang, Y., Chen, C. H., & Zghari-Sales, A. (2021). Designing a blockchain enabled supply chain. International Journal of Production Research, 59(5), 1450–1475.
Wu, H. Y., Wu, C. Y., & Li, Y. C. (2019). The impact of blockchain on supply chain relationships: A modular theory perspective. Journal of Business Research, 98, 365- 380.
Wu, W. W., & Lee, Y. T. (2007). Developing global managers' competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
Xia, Q., Sifah, E. B., Smahi, A., Amofa, S., & Zhang, X. (2017). BBDS: Blockchain-based data sharing for electronic medical records in cloud environments. Information, 8(2), 44.
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).
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), e0163477.
Zhang, X., & Lee, M. K. (2018). Understanding the enablers and inhibitors of supply chain collaboration: An interpretive study of the Chinese automobile industry. International Journal of Production Economics, 197, 44-56.
Zhang, X., Yang, J., & Liu, H. (2019). Blockchain technology in supply chain management: A review of applications, potentials, and challenges. IEEE Transactions on Engineering Management, 66(4), 935-948
Zyskind, G., Nathan, O., & Pentland, A. S. (2015). Decentralizing privacy: Using blockchain to protect personal data. IEEE Security and Privacy Workshops, SPW 2015, 180–184.
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