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Coping or threat? Unraveling the mechanisms enabling user acceptance of blockchain technologies

Author

Listed:
  • Soo Jung Oh

    (Kyungil University)

  • Shufeng (Simon) Xiao

    (Sookmyung Women’s University)

  • Byung Il Park

    (Hankuk University of Foreign Studies)

  • Taewoo Roh

    (Hanyang University)

Abstract

Blockchain technology is rapidly emerging as one of the leading-edge technologies with various advantages that are highly applicable in various sectors. However, such benefits of blockchain also involve security and privacy concerns and could thus hinder the use of technology. Existing studies have made considerable efforts to understand the main aspects of blockchain adoption and acceptance using various theoretical models. However, studies considering users’ privacy and security concerns are considerably more scarce. To fill this important gap, we analyze factors influencing users’ intention to use blockchain regarding privacy and security concerns by bridging two theories, namely protection motivation theory (PMT) and task-technology fit (TTF) theory. Using survey data from 306 blockchain users in China, we employed structural equation modeling to empirically test our hypotheses. Results show that TTF positively impacts users’ invulnerability and self-efficacy, leading to blockchain transparency and increasing users’ intention to use the blockchain. This study provides useful theoretical and practical implications by suggesting that the relationship between TTF and PMT can serve as a theoretical background for adopting blockchain, and TTF can help business managers manage users’ security and privacy concerns.

Suggested Citation

  • Soo Jung Oh & Shufeng (Simon) Xiao & Byung Il Park & Taewoo Roh, 2025. "Coping or threat? Unraveling the mechanisms enabling user acceptance of blockchain technologies," Information Technology and Management, Springer, vol. 26(2), pages 219-233, June.
    • Handle: RePEc:spr:infotm:v:26:y:2025:i:2:d:10.1007_s10799-023-00409-8
    DOI: 10.1007/s10799-023-00409-8
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    References listed on IDEAS

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    1. Sachin Kamble & Angappa Gunasekaran & Himanshu Arha, 2019. "Understanding the Blockchain technology adoption in supply chains-Indian context," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2009-2033, April.
    2. Julien Cloarec, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Post-Print hal-03816601, HAL.
    3. Sunil Venaik & David F Midgley & Timothy M Devinney, 2005. "Dual paths to performance: the impact of global pressures on MNC subsidiary conduct and performance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 36(6), pages 655-675, November.
    4. Cloarec, Julien, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Journal of Business Research, Elsevier, vol. 152(C), pages 144-153.
    5. Christoph Zott & Raphael Amit, 2008. "The fit between product market strategy and business model: implications for firm performance," Strategic Management Journal, Wiley Blackwell, vol. 29(1), pages 1-26, January.
    6. Hamed Taherdoost, 2022. "A Critical Review of Blockchain Acceptance Models—Blockchain Technology Adoption Frameworks and Applications," Post-Print hal-03741851, HAL.
    7. Albayati, Hayder & Kim, Suk Kyoung & Rho, Jae Jeung, 2020. "Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach," Technology in Society, Elsevier, vol. 62(C).
    8. Younghwa Lee & Kai R Larsen, 2009. "Threat or coping appraisal: determinants of SMB executives’ decision to adopt anti-malware software," European Journal of Information Systems, Taylor & Francis Journals, vol. 18(2), pages 177-187, April.
    9. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    10. 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.
    11. Ahl, Amanda & Yarime, Masaru & Tanaka, Kenji & Sagawa, Daishi, 2019. "Review of blockchain-based distributed energy: Implications for institutional development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 200-211.
    12. Ammar AL-Ashmori & Shuib Bin Basri & P. D. D. Dominic & Luiz Fernando Capretz & Amgad Muneer & Abdullateef Oluwagbemiga Balogun & Abdul Rehman Gilal & Rao Faizan Ali, 2022. "Classifications of Sustainable Factors in Blockchain Adoption: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-30, April.
    13. Dong-Hee Shin, 2013. "User experience in social commerce: in friends we trust," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(11), pages 1191-1192, November.
    14. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    15. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    16. Verena M. Wottrich & Eva A. van Reijmersdal & Edith G. Smit, 2019. "App Users Unwittingly in the Spotlight: A Model of Privacy Protection in Mobile Apps," Journal of Consumer Affairs, Wiley Blackwell, vol. 53(3), pages 1056-1083, September.
    17. 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.
    18. Hughes, Laurie & Dwivedi, Yogesh K. & Misra, Santosh K. & Rana, Nripendra P. & Raghavan, Vishnupriya & Akella, Viswanadh, 2019. "Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda," International Journal of Information Management, Elsevier, vol. 49(C), pages 114-129.
    19. 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.
    20. Dong-Hee Shin, 2013. "User experience in social commerce: in friends we trust," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(1), pages 52-67.
    21. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    22. Jian Mou & Dong-Hee Shin & Jason F. Cohen, 2017. "Trust and risk in consumer acceptance of e-services," Electronic Commerce Research, Springer, vol. 17(2), pages 255-288, June.
    23. Yumei Luo & Guiping Wang & Yuwei Li & Qiongwei Ye, 2021. "Examining Protection Motivation and Network Externality Perspective Regarding the Continued Intention to Use M-Health Apps," IJERPH, MDPI, vol. 18(11), pages 1-17, May.
    24. Sachin Kamble & Angappa Gunasekaran & Vikas Kumar & Amine Belhadi & Cyril Foropon, 2021. "A machine learning based approach for predicting blockchain adoption in supply chain," Post-Print hal-03539287, HAL.
    25. DeFranco, Agnes & Morosan, Cristian, 2017. "Coping with the risk of internet connectivity in hotels: Perspectives from American consumers traveling internationally," Tourism Management, Elsevier, vol. 61(C), pages 380-393.
    26. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.
    27. Walsh, Clara & O’Reilly, Philip & Gleasure, Rob & McAvoy, John & O’Leary, Kevin, 2021. "Understanding manager resistance to blockchain systems," European Management Journal, Elsevier, vol. 39(3), pages 353-365.
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