IDEAS home Printed from https://ideas.repec.org/a/eee/bushor/v62y2019i1p35-45.html
   My bibliography  Save this article

Blockchain technology for enhancing supply chain resilience

Author

Listed:
  • Min, Hokey

Abstract

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.

Suggested Citation

  • Min, Hokey, 2019. "Blockchain technology for enhancing supply chain resilience," Business Horizons, Elsevier, vol. 62(1), pages 35-45.
    • Handle: RePEc:eee:bushor:v:62:y:2019:i:1:p:35-45
    DOI: 10.1016/j.bushor.2018.08.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0007681318301472
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.bushor.2018.08.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Likoebe M. Maruping & Hillol Bala & Viswanath Venkatesh & Susan A. Brown, 2017. "Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 623-637, March.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    4. Mainelli, Michael & Smith, Mike, 2015. "Sharing ledgers for sharing economies: an exploration of mutual distributed ledgers (aka blockchain technology)," Journal of Financial Perspectives, EY Global FS Institute, vol. 3(3), pages 38-58.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:dau:papers:123456789/12445 is not listed on IDEAS
    2. Yu-Jin Choi & Jin-Woo Park, 2020. "Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    3. repec:dau:papers:123456789/13000 is not listed on IDEAS
    4. Jui-Che Tu & Chi-Ling Hu, 2018. "A Study on the Factors Affecting Consumers’ Willingness to Accept Clothing Rentals," Sustainability, MDPI, vol. 10(11), pages 1-30, November.
    5. Do Giang Nguyen & Minh-Tri Ha, 2022. "What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam," SAGE Open, , vol. 12(1), pages 21582440211, January.
    6. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    7. Yun Ji Moon & Woody Kim & Sunny Ham, 2014. "Users' intentions to employ a Point-Of-Sale system," The Service Industries Journal, Taylor & Francis Journals, vol. 34(11), pages 901-921, August.
    8. Kim, Sang-Hoon & Park, Hyun Jung, 2011. "Effects of social influence on consumers' voluntary adoption of innovations prompted by others," Journal of Business Research, Elsevier, vol. 64(11), pages 1190-1194.
    9. Serge Mandiefe Piabuo & Ngwe Elvis Piendiah & Njoh Lawrence Njamnshi & Puatwoe Janice Tieguhong, 2017. "The impact of ICT on the efficiency of HRM in Cameroonian enterprises: Case of the Mobile telephone industry," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 7(1), pages 1-18, December.
    10. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    11. Elbanna, Amany & Newman, Mike, 2022. "The bright side and the dark side of top management support in Digital Transformaion –A hermeneutical reading," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Anne Fortin & Hamid Haffaf & Chantal Viger, 2007. "The Measurement of Success of Activity‐Based Costing and Its Determinants: A Study within Canadian Federal Government Organizations/L'évaluation Du Succès De La Comptabilité Par Activités Et Ses Déter," Accounting Perspectives, John Wiley & Sons, vol. 6(3), pages 231-262, August.
    13. Issa Mohamed Al Dafaei & Zurida Ismail & Mohd Ali Samsudin & Firas Jalal Shakir, 2013. "The Mediating Effect of Self-Efficacy towards the Relationship Between Attitudes And Level of Use Towards Instructional Computer Technology in Oman," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 3(12), pages 2382-2398, December.
    14. Abiodun Ogunyemi & Kevin Johnston, 2017. "Is Server Virtualization Implementation in Business and Public Organizations a Worthwhile Investment?," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 711-736, May.
    15. Nicole D. Sintov & P. Wesley Schultz, 2017. "Adjustable Green Defaults Can Help Make Smart Homes More Sustainable," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    16. Ferry Koster & Mattijs Lambooij, 2018. "Managing Innovations: A Study of the Implementation of Electronic Medical Records in Dutch Hospitals," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-23, February.
    17. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    18. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    19. Pradeep Racherla & Munir Mandviwalla, 2013. "Moving from Access to Use of the Information Infrastructure: A Multilevel Sociotechnical Framework," Information Systems Research, INFORMS, vol. 24(3), pages 709-730, September.
    20. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    21. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    22. Zehua Li & Jiaran Niu & Zhenzhou Li & Yukun Chen & Yang Wang & Bin Jiang, 2022. "The Impact of Individual Differences on the Acceptance of Self-Driving Buses: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 14(18), pages 1-14, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:bushor:v:62:y:2019:i:1:p:35-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/bushor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.