IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v46y2019icp70-82.html
   My bibliography  Save this article

Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA

Author

Listed:
  • Queiroz, Maciel M.
  • Fosso Wamba, Samuel

Abstract

The digitalization phenomenon is leveraging new relationship models through the entire supply chain network. In this outlook, blockchain is a cutting-edge technology that is already transforming and remodeling the relationships between all members of logistics and supply chain systems. Yet, while studies on blockchain have gained a relative pace over the recent years, the literature on this topic does not report sufficient research cases on blockchain adoption behavior at the individual level. The present study, therefore, aims to bridge this gap, notably by helping understand the individual blockchain adoption behavior in the logistics and supply chain field in India and the USA. Drawing on the emerging literature on blockchain, supply chain and network theory, as well as on technology acceptance models (TAMs), we have developed a model based on a slightly-altered version of the classical unified theory of acceptance and use of technology (UTAUT). The model being developed was then estimated using the Partial least squares structural equation modeling (PLS-SEM). As the model was eventually supported, the results obtained revealed the existence of distinct adoption behaviors between India-based and USA-based professionals. In parallel, the findings appear as a useful contribution to and a sign of progress for the literature on IT adoption, SCM, and blockchain.

Suggested Citation

  • Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    • Handle: RePEc:eee:ininma:v:46:y:2019:i:c:p:70-82
    DOI: 10.1016/j.ijinfomgt.2018.11.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401218309447
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2018.11.021?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. Mamonov, Stanislav & Benbunan-Fich, Raquel, 2017. "Exploring factors affecting social e-commerce service adoption: The case of Facebook Gifts," International Journal of Information Management, Elsevier, vol. 37(6), pages 590-600.
    2. Sun, Jonghak & Teng, James T.C., 2017. "The construct of information systems use benefits: Theoretical explication of its underlying dimensions and the development of a measurement scale," International Journal of Information Management, Elsevier, vol. 37(5), pages 400-416.
    3. Wu, Kewen & Zhao, Yuxiang & Zhu, Qinghua & Tan, Xiaojie & Zheng, Hua, 2011. "A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type," International Journal of Information Management, Elsevier, vol. 31(6), pages 572-581.
    4. Hazen, Benjamin T. & Bradley, Randy V. & Bell, John E. & In, Joonhwan & Byrd, Terry A., 2017. "Enterprise architecture: A competence-based approach to achieving agility and firm performance," International Journal of Production Economics, Elsevier, vol. 193(C), pages 566-577.
    5. Ahmad, Syed Zamberi & Khalid, Khalizani, 2017. "The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates," International Journal of Information Management, Elsevier, vol. 37(5), pages 367-379.
    6. 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.
    7. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    8. Riffai, M.M.M.A. & Grant, Kevin & Edgar, David, 2012. "Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman," International Journal of Information Management, Elsevier, vol. 32(3), pages 239-250.
    9. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    10. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(3), pages 1-1, August.
    11. Yadlapalli, Aswini & Rahman, Shams & Gunasekaran, Angappa, 2018. "Socially responsible governance mechanisms for manufacturing firms in apparel supply chains," International Journal of Production Economics, Elsevier, vol. 196(C), pages 135-149.
    12. Zhang, Yun & Weng, Qingxiong & Zhu, Nan, 2018. "The relationships between electronic banking adoption and its antecedents: A meta-analytic study of the role of national culture," International Journal of Information Management, Elsevier, vol. 40(C), pages 76-87.
    13. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    14. Martins, Carolina & Oliveira, Tiago & Popovič, Aleš, 2014. "Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application," International Journal of Information Management, Elsevier, vol. 34(1), pages 1-13.
    15. Mortenson, Michael J. & Vidgen, Richard, 2016. "A computational literature review of the technology acceptance model," International Journal of Information Management, Elsevier, vol. 36(6), pages 1248-1259.
    16. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P., 2017. "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, Elsevier, vol. 37(3), pages 99-110.
    17. Kshetri, Nir, 2017. "Blockchain's roles in strengthening cybersecurity and protecting privacy," Telecommunications Policy, Elsevier, vol. 41(10), pages 1027-1038.
    18. Huang, Tony Cheng-Kui & Liu, Chuang-Chun & Chang, Dong-Cheng, 2012. "An empirical investigation of factors influencing the adoption of data mining tools," International Journal of Information Management, Elsevier, vol. 32(3), pages 257-270.
    19. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    20. Wang, Yi-Shun & Yeh, Ching-Hsuan & Liao, Yi-Wen, 2013. "What drives purchase intention in the context of online content services? The moderating role of ethical self-efficacy for online piracy," International Journal of Information Management, Elsevier, vol. 33(1), pages 199-208.
    21. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    22. Z Irani & Y K Dwivedi & M D Williams, 2009. "Understanding consumer adoption of broadband: an extension of the technology acceptance model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1322-1334, October.
    23. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    24. Tsou, Hung-Tai & Hsu, Sheila Hsuan-Yu, 2015. "Performance effects of technology–organization–environment openness, service co-production, and digital-resource readiness: The case of the IT industry," International Journal of Information Management, Elsevier, vol. 35(1), pages 1-14.
    25. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(2), pages 1-1, May.
    26. Muhammad Shoaib Farooq & Maimoona Salam & Norizan Jaafar & Alain Fayolle & Kartinah Ayupp & Mirjana Radovic-Markovic & Ali Sajid, 2017. "Acceptance and use of lecture capture system (LCS) in executive business studies : extending UTAUT2," Post-Print hal-02312087, HAL.
    27. Lin, Hsiu-Fen, 2011. "An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust," International Journal of Information Management, Elsevier, vol. 31(3), pages 252-260.
    28. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    29. Oliveira, Tiago & Faria, Miguel & Thomas, Manoj Abraham & Popovič, Aleš, 2014. "Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM," International Journal of Information Management, Elsevier, vol. 34(5), pages 689-703.
    30. Shim, Seonyoung & Lee, Byungtae & Kim, Sojung Lucia, 2018. "Rival precedence and open platform adoption: An empirical analysis," International Journal of Information Management, Elsevier, vol. 38(1), pages 217-231.
    31. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    32. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(1), pages 1-1, February.
    33. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    34. Chen, Yan, 2018. "Blockchain tokens and the potential democratization of entrepreneurship and innovation," Business Horizons, Elsevier, vol. 61(4), pages 567-575.
    35. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(4), pages 1-1, November.
    36. Liébana-Cabanillas, Francisco & Marinković, Veljko & Kalinić, Zoran, 2017. "A SEM-neural network approach for predicting antecedents of m-commerce acceptance," International Journal of Information Management, Elsevier, vol. 37(2), pages 14-24.
    37. Kshetri, Nir, 2018. "1 Blockchain’s roles in meeting key supply chain management objectives," International Journal of Information Management, Elsevier, vol. 39(C), pages 80-89.
    38. Fosso Wamba, Samuel & Bhattacharya, Mithu & Trinchera, Laura & Ngai, Eric W.T., 2017. "Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity," International Journal of Information Management, Elsevier, vol. 37(2), pages 1-13.
    39. Wang, Yu-Yin & Wang, Yi-Shun & Lin, Tung-Ching, 2018. "Developing and validating a technology upgrade model," International Journal of Information Management, Elsevier, vol. 38(1), pages 7-26.
    40. Sabi, Humphrey M. & Uzoka, Faith-Michael E. & Langmia, Kehbuma & Njeh, Felix N., 2016. "Conceptualizing a model for adoption of cloud computing in education," International Journal of Information Management, Elsevier, vol. 36(2), pages 183-191.
    41. Moacir Godinho Filho & Gilberto Miller Devós Ganga & Angappa Gunasekaran, 2016. "Lean manufacturing in Brazilian small and medium enterprises: implementation and effect on performance," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7523-7545, December.
    42. Han, Jeong Hugh & Wang, Yingli & Naim, Mohamed, 2017. "Reconceptualization of information technology flexibility for supply chain management: An empirical study," International Journal of Production Economics, Elsevier, vol. 187(C), pages 196-215.
    43. Craig R. Carter & Dale S. Rogers & Thomas Y. Choi, 2015. "Toward the Theory of the Supply Chain," Journal of Supply Chain Management, Institute for Supply Management, vol. 51(2), pages 89-97, April.
    44. Weerakkody, Vishanth & El-Haddadeh, Ramzi & Al-Sobhi, Faris & Shareef, Mahmud Akhter & Dwivedi, Yogesh K., 2013. "Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation," International Journal of Information Management, Elsevier, vol. 33(5), pages 716-725.
    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. Jain, Geetika & Kamble, Sachin S. & Ndubisi, Nelson Oly & Shrivastava, Archana & Belhadi, Amine & Venkatesh, Mani, 2022. "Antecedents of Blockchain-Enabled E-commerce Platforms (BEEP) adoption by customers – A study of second-hand small and medium apparel retailers," Journal of Business Research, Elsevier, vol. 149(C), pages 576-588.
    2. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.
    3. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Rana, Nripendra P. & Kizgin, Hatice & Patil, Pushp, 2019. "Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model," International Journal of Information Management, Elsevier, vol. 44(C), pages 38-52.
    4. Sharma, Sujeet Kumar & Sharma, Manisha, 2019. "Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 65-75.
    5. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    6. Malaquias, Rodrigo F. & Hwang, Yujong, 2019. "Mobile banking use: A comparative study with Brazilian and U.S. participants," International Journal of Information Management, Elsevier, vol. 44(C), pages 132-140.
    7. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Shaw, Norman & Sergueeva, Ksenia, 2019. "The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value," International Journal of Information Management, Elsevier, vol. 45(C), pages 44-55.
    9. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    10. Baillette, Paméla & Barlette, Yves & Leclercq-Vandelannoitte, Aurélie, 2018. "Bring your own device in organizations: Extending the reversed IT adoption logic to security paradoxes for CEOs and end users," International Journal of Information Management, Elsevier, vol. 43(C), pages 76-84.
    11. Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. "Supply chain resilience: Conceptualization and scale development using dynamic capability theory," International Journal of Production Economics, Elsevier, vol. 188(C), pages 185-204.
    12. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    13. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    14. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    15. Qingyu Zhang & Salman Khan & Safeer Ullah Khan & Ikram Ullah Khan, 2023. "Understanding Blockchain Technology Adoption in Operation and Supply Chain Management of Pakistan: Extending UTAUT Model With Technology Readiness, Technology Affinity and Trust," SAGE Open, , vol. 13(4), pages 21582440231, October.
    16. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    17. Mohammad Alghababsheh & David Gallear, 2021. "Socially Sustainable Supply Chain Management and Suppliers’ Social Performance: The Role of Social Capital," Journal of Business Ethics, Springer, vol. 173(4), pages 855-875, November.
    18. Christina W.Y. Wong & Chee Yew Wong & Sakun Boon‐itt, 2018. "How Does Sustainable Development of Supply Chains Make Firms Lean, Green and Profitable? A Resource Orchestration Perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 27(3), pages 375-388, March.
    19. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis, 2022. "SME entrepreneurship and digitalization – the potentialities and moderating role of demographic factors," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    20. Abhishek Behl & Pankaj Dutta & Zongwei Luo & Pratima Sheorey, 2022. "Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach," Annals of Operations Research, Springer, vol. 319(1), pages 761-789, December.

    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:ininma:v:46:y:2019:i:c:p:70-82. 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: https://www.journals.elsevier.com/international-journal-of-information-management .

    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.