HOW DOES DIGITAL TWIN–BLOCKCHAIN INTEGRATION ENHANCE TRACEABILITY TRUST? A PHYSICAL–DIGITAL–TRUST TRIPLE MAPPING MODEL
Keywords:
Traceability trust, Digital twin, Blockchain, Affordance theory, Signaling theory, Supply chain transparencyAbstract
Agricultural traceability increasingly combines digital twins with distributed ledgers, yet the two technologies are often treated as if co-deployment were enough to create trust. This paper challenges that assumption. It treats traceability trust as the result of three linked translations: physical events into a digital representation (representational fidelity), that representation into a tamper-evident record (evidential integrity), and the record into evidence that stakeholders can inspect and understand (verification confidence). Using affordance theory, signaling theory and the trust literature, the paper explains why these translations operate sequentially, why a weak translation can produce false assurance, and why consumers, firms and regulators attach different weights to the three qualities. Nine propositions and a focused research agenda follow from the argument. The contribution is a configurational account that connects traceability design to the judgments stakeholders make about provenance.References
[1] Akerlof G A. The market for “lemons”: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 1970, 84(3): 488-500.
[2] Moe T. Perspectives on traceability in food manufacture. Trends in Food Science & Technology, 1998, 9(5): 211-214.
[3] Olsen P, Borit M. How to define traceability. Trends in Food Science & Technology, 2013, 29(2): 142-150.
[4] Grieves M. Digital twin: Manufacturing excellence through virtual factory replication. White paper, 2014.
[5] Tao F, Zhang H, Liu A, et al. Digital twin in industry: State-of-the-art. IEEE Transactions on Industrial Informatics, 2019, 15(4): 2405-2415.
[6] Nakamoto S. Bitcoin: A peer-to-peer electronic cash system. 2008. https://bitcoin.org/bitcoin.pdf.
[7] Iansiti M, Lakhani K R. The truth about blockchain. Harvard Business Review, 2017, 95(1): 118-127.
[8] Tian F. An agri-food supply chain traceability system for China based on RFID and blockchain technology. In: Proceedings of the 13th International Conference on Service Systems and Service Management. IEEE, 2016: 1-6.
[9] Feng H, Wang X, Duan Y, et al. Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges. Journal of Cleaner Production, 2020, 260: 121031.
[10] Zhao G, Liu S, Lopez C, et al. Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Computers in Industry, 2019, 109: 83-99.
[11] Kritzinger W, Karner M, Traar G, et al. Digital twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine, 2018, 51(11): 1016-1022.
[12] Jones D, Snider C, Nassehi A, et al. Characterising the digital twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 2020, 29: 36-52.
[13] Kshetri N. 1 Blockchain's roles in meeting key supply chain management objectives. International Journal of Information Management, 2018, 39: 80-89.
[14] Saberi S, Kouhizadeh M, Sarkis J, et al. Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 2019, 57(7): 2117-2135.
[15] Caldarelli G. Understanding the blockchain oracle problem: A call for action. Information, 2020, 11(11): 509.
[16] Mayer R C, Davis J H, Schoorman F D. An integrative model of organizational trust. Academy of Management Review, 1995, 20(3): 709-734.
[17] McKnight D H, Cummings L L, Chervany N L. Initial trust formation in new organizational relationships. Academy of Management Review, 1998, 23(3): 473-490.
[18] Gibson J J. The ecological approach to visual perception. Houghton Mifflin, 1979.
[19] Hutchby I. Technologies, texts and affordances. Sociology, 2001, 35(2): 441-456.
[20] Majchrzak A, Markus M L. Technology affordances and constraints in management information systems (MIS). In: Kessler E H, ed. Encyclopedia of management theory. SAGE, 2013: 832-836.
[21] Spence M. Job market signaling. Quarterly Journal of Economics, 1973, 87(3): 355-374.
[22] Connelly B L, Certo S T, Ireland R D, et al. Signaling theory: A review and assessment. Journal of Management, 2011, 37(1): 39-67.
[23] McKnight D H, Carter M, Thatcher J B, et al. Trust in a specific technology: An investigation of its components and measures. ACM Transactions on Management Information Systems, 2011, 2(2): 12.
[24] Bosona T, Gebresenbet G. Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control, 2013, 33(1): 32-48.
[25] Gefen D, Karahanna E, Straub D W. Trust and TAM in online shopping: An integrated model. MIS Quarterly, 2003, 27(1): 51-90.
[26] Hoff K A, Bashir M. Trust in automation: Integrating empirical evidence on factors that influence trust. Human Factors, 2015, 57(3): 407-434.
[27] Egels-Zandén N, Hulthén K, Wulff G. Trade-offs in supply chain transparency: The case of Nudie Jeans Co. Journal of Cleaner Production, 2015, 107: 95-104.
[28] Montecchi M, Plangger K, West D C. Supply chain transparency: Theoretical perspectives for future research. International Journal of Logistics Management, 2021, 32(4): 1422-1443.
[29] Lu Y, Liu C, Wang K I K, et al. Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues. Robotics and Computer-Integrated Manufacturing, 2020, 61: 101837.
[30] Kamath R. Food traceability on blockchain: Walmart's pork and mango pilots with IBM. Journal of the British Blockchain Association, 2018, 1(1): 1-12.
[31] Galvez J F, Mejuto J C, Simal-Gandara J. Future challenges on the use of blockchain for food traceability analysis. TrAC Trends in Analytical Chemistry, 2018, 107: 222-232.
[32] Rejeb A, Keogh J G, Treiblmaier H. Leveraging the internet of things and blockchain technology in supply chain management. Future Internet, 2019, 11(7): 161.
[33] Azzi R, Chamoun R K, Sokhn M. The power of a blockchain-based supply chain. Computers & Industrial Engineering, 2019, 135: 582-592.
[34] Queiroz M M, Telles R, Bonilla S H. Blockchain and supply chain management integration: A systematic review of the literature. Supply Chain Management, 2020, 25(2): 241-254.
[35] Zucker L G. Production of trust: Institutional sources of economic structure, 1840–1920. Research in Organizational Behavior, 1986, 8: 53-111.
[36] Bachmann R, Inkpen A C. Understanding institutional-based trust building processes in inter-organizational relationships. Organization Studies, 2011, 32(2): 281-301.
[37] Kamilaris A, Fonts A, Prenafeta-Boldú F X. The rise of blockchain technology in agriculture and food supply chains. Trends in Food Science & Technology, 2019, 91: 640-652.
[38] Astill J, Dara R A, Campbell M, et al. Transparency in food supply chains: A review of enabling technology solutions. Trends in Food Science & Technology, 2019, 91: 240-247.
[39] Pearson S, May D, Leontidis G, et al. Are distributed ledger technologies the panacea for food traceability? Global Food Security, 2019, 20: 145-149.
[40] Treiblmaier H. The impact of the blockchain on the supply chain: A theory-based research framework and a call for action. Supply Chain Management, 2018, 23(6): 545-559.
[41] Wamba S F, Queiroz M M. Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities. International Journal of Information Management, 2020, 52: 102064.
[42] Williamson O E. The economic institutions of capitalism. Free Press, 1985.