Will the blockchain solve the supply chain resilience challenges? Insights from a systematic literature review

被引:8
作者
Beck, Janina [1 ]
Birkel, Hendrik [1 ]
Spieske, Alexander [1 ]
Gebhardt, Maximilian [1 ]
机构
[1] Friedrich Alexander Univ Erlangen Nuremberg, Chair Supply Chain Management, Lange Gasse 20, D-90403 Nurnberg, Germany
关键词
Blockchain; Distributed ledger; Literature review; Supply chain disruption; Supply chain resilience; Supply chain risk management; RISK-MANAGEMENT; TECHNOLOGY; SUSTAINABILITY; FRAMEWORK; LOGISTICS; TRACEABILITY; DISRUPTIONS; IMPACT;
D O I
10.1016/j.cie.2023.109623
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Frequency and severity of supply chain disruptions are increasing, and new solutions for improving supply chain resilience (SCRES) are demanded. Operations managers and scholars place great hopes on recent technological innovations, particularly blockchain technology. However, the current literature lacks a comprehensive review at the intersection of SCRES and blockchain, making it difficult to understand the relations between both fields holistically. This research gap was addressed by systematically analyzing 72 peer-reviewed papers. More specifically, the link between specific blockchain characteristics, SCRES antecedents, and supply chain risk types was explored. The results reveal that visibility and validation are the most relevant blockchain characteristics for improving SCRES. The SCRES antecedents agility, collaboration, and supply chain (re-)engineering can all benefit from blockchain implementation, whereas the effect on risk management culture is widely unexplored. While there is consensus on blockchain's usability for mitigating security, operational, and supply risks, the effect on demand risks requires further attention. To facilitate the practical implementation of this paper's results, the findings served as a foundation for discussing SCRES opportunities from well-known blockchain applications such as smart contracts and tracking solutions. Moreover, seven future research avenues and managerial implications are presented.
引用
收藏
页数:18
相关论文
共 140 条
  • [11] Understanding Big Data Analytics for Manufacturing Processes: Insights from Literature Review and Multiple Case Studies
    Belhadi, Amine
    Zkik, Karim
    Cherrafi, Anass
    Yusof, Sha'ri M.
    El Fezazi, Said
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 137
  • [12] At the Epicenter of COVID-19-the Tragic Failure of the Global Supply Chain for Medical Supplies
    Bhaskar, Sonu
    Tan, Jeremy
    Bogers, Marcel L. A. M.
    Minssen, Timo
    Badaruddin, Hishamuddin
    Israeli-Korn, Simon
    Chesbrough, Henry
    [J]. FRONTIERS IN PUBLIC HEALTH, 2020, 8
  • [13] Internet of Things - the future of managing supply chain risks
    Birkel, Hendrik Sebastian
    Hartmann, Evi
    [J]. SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2020, 25 (05) : 535 - 548
  • [14] A blockchain use case in food distribution: Do you know where your food has been?
    Bumblauskas, Daniel
    Mann, Arti
    Dugan, Brett
    Rittmer, Jacy
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2020, 52 (52)
  • [15] Intra-industry strategic alliances for managing sustainability-related supplier risks Motivation and outcome
    Canzaniello, Angelo
    Hartmann, Evi
    Fifka, Matthias S.
    [J]. INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2017, 47 (05) : 387 - 409
  • [16] When Blockchain Meets Supply Chain: A Systematic Literature Review on Current Development and Potential Applications
    Chang, Shuchih E.
    Chen, Yichian
    [J]. IEEE ACCESS, 2020, 8 : 62478 - 62494
  • [17] Improving social sustainability and reducing supply chain risks through blockchain implementation: role of outcome and behavioural mechanisms
    Chaudhuri, Atanu
    Bhatia, Manjot Singh
    Kayikci, Yasanur
    Fernandes, Kiran J.
    Fosso-Wamba, Samuel
    [J]. ANNALS OF OPERATIONS RESEARCH, 2023, 327 (01) : 401 - 433
  • [18] A resilience measure for supply chain systems considering the interruption with the cyber-physical systems
    Chen, Liwei
    Dui, Hongyan
    Zhang, Chi
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 199
  • [19] The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era
    Choi, Tsan-Ming
    Wen, Xin
    Sun, Xuting
    Chung, Sai-Ho
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2019, 127 : 178 - 191
  • [20] Christopher M., 2004, International Journal of Logistics Management, V15, P1, DOI [DOI 10.1108/09574090410700275, 10.1108/09574090410700275]