Blockchain technology for enhancing Check for updates supply chain resilience

被引:449
作者
Min, Hokey [1 ]
机构
[1] Bowling Green State Univ, Coll Business Adm, Bowling Green, OH 43403 USA
基金
美国国家科学基金会;
关键词
Blockchain technology; Supply chain risk management; Cryptocurrency; Blockchain; architecture; Supply chain resilience; ACCEPTANCE MODEL;
D O I
10.1016/j.bushor.2018.08.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
With the soaring value of bitcoin and frenzy over cryptocurrency, the blockchain technology that sparked the bitcoin revolution has received heightened attention from both practitioners and academics. Blockchain technology often causes controversies surrounding its application potential and business ramifications. The blockchain is a peer-to-peer network of information technology that keeps records of digital asset transactions using distributed ledgers that are free from control by intermediaries such as banks and governments. Thus, it can mitigate risks associated with intermediaries' interventions, including hacking, compromised privacy, vulnerability to political turmoil, costly compliance with government rules and regulation, instability of financial institutions, and contractual disputes. This article unlocks the mystique of blockchain technology and discusses ways to leverage blockchain technology to enhance supply chain resilience in times of increased risks and uncertainty. (C) 2018 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:35 / 45
页数:11
相关论文
共 37 条
  • [21] IBM, 2017, BEN BLOCKCH SUPPL CH
  • [22] Icertis, 2017, SMART CONTR ARE TRAN
  • [23] Langley C. J., 2018, 2018 22 ANN 3 PARTY
  • [24] Trusting records: is Blockchain technology the answer?
    Lemieux, Victoria Louise
    [J]. RECORDS MANAGEMENT JOURNAL, 2016, 26 (02) : 110 - 139
  • [25] Mainelli M., 2015, Journal of Financial Perspectives, V3
  • [26] Going Beyond Intention: Integrating Behavioral Expectation Into the Unified Theory of Acceptance and Use of Technology
    Maruping, Likoebe M.
    Bala, Hillol
    Venkatesh, Viswanath
    Brown, Susan A.
    [J]. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2017, 68 (03) : 623 - 637
  • [27] Maruti Techlab, 2017, WHAT IS BLOCKCH UND
  • [28] Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior
    Mathieson, Kieran
    [J]. INFORMATION SYSTEMS RESEARCH, 1991, 2 (03) : 173 - 191
  • [29] Min H., 2016, Global Business Analytics Models: Concepts and Applications in Predictive, Healthcare, Supply Chain, and Finance Analytics
  • [30] Oliveira T., 2011, Electron. J. Inf. Syst. Eval., V14, P110, DOI DOI 10.1017/CBO9781107415324.004