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All issues Volume 201 (2024) SHS Web Conf., 201 (2024) 03002 References
Open Access
Issue
SHS Web Conf.
Volume 201, 2024
1st International Conference on Digital Technologies and Sustainability Accounting (ICDSA 2024)
Article Number 03002
Number of page(s) 10
Section Green Accounting in Sustainable Environment
DOI https://doi.org/10.1051/shsconf/202420103002
Published online 08 November 2024
  1. Yu T, Lin Z, Tang Q. Blockchain: The introduction and its application in financial accounting. Journal of Corporate Accounting & Finance. 29(4), 37–47 (2018). https://doi.org/10.1002/jcaf.22365 [CrossRef] [Google Scholar]
  2. Kwilinski A. Implementation of blockchain technology in accounting sphere. Academy of Accounting and Financial Studies Journal. 23, 1–6 (2019). [Google Scholar]
  3. Zhang Y, Pourroostaei Ardakani S, Han W. Smart ledger: The blockchain‐based accounting information recording protocol. Journal of Corporate Accounting & Finance. 32(4), 147–57 (2021). https://doi.org/10.1002/jcaf.22515 [CrossRef] [Google Scholar]
  4. ALSaqa ZH, Hussein AI, Mahmood SM. The impact of blockchain on accounting information systems. Journal of Information Technology Management. 11(3), 62–80 (2019). [Google Scholar]
  5. Liu M, Robin A, Wu K, Xu J. Blockchain’s impact on accounting and auditing: a use case on supply chain traceability. Journal of Emerging Technologies in Accounting. 19(2), 105–19 (2022). https://doi.org/10.2308/JETA-2021-002 [CrossRef] [Google Scholar]
  6. Falwadiya H, Dhingra S. Blockchain technology adoption in government organizations: a systematic literature review. Journal of Global Operations and Strategic Sourcing. 15(3), 473–501 (2022). https://doi.org/10.1108/JGOSS-09-2021-0079 [CrossRef] [Google Scholar]
  7. Fang B, Liu X, Ma C, Zhuo Y. Blockchain technology adoption and accounting information quality. Accounting & Finance. 63(4), 4125–56 (2023). https://doi.org/10.1111/acfi.13088 [CrossRef] [Google Scholar]
  8. Verma S, Sheel A. Blockchain for government organizations: Past, present and future. Journal of Global Operations and Strategic Sourcing. 15(3), 406–30 (2022). https://doi.org/10.1108/JGOSS-08-2021-0063 [CrossRef] [Google Scholar]
  9. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: Toward a unified view. MIS quarterly. 425–78 (2003). https://doi.org/10.2307/30036540 [CrossRef] [Google Scholar]
  10. Singh N, Sinha N. How perceived trust mediates merchant’s intention to use a mobile wallet technology. Journal of retailing and consumer services. 52, 101894 (2020). https://doi.org/10.1016/j.jretconser.2019.101894 [CrossRef] [Google Scholar]
  11. Chan WM, Lee JWC. 5G connected autonomous vehicle acceptance: The mediating effect of trust in the technology acceptance model. Asian Journal of Business Research. 11(1), 40–60 (2021). https://doi.org/10.14707/ajbr.210098 [Google Scholar]
  12. Shrestha AK, Vassileva J, Joshi S, Just J. Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system. PeerJ Computer Science. 7, e502 (2021). https://doi.org/10.7717/peerj-cs.502 [CrossRef] [PubMed] [Google Scholar]
  13. Podsakoff PM, MacKenzie SB. Impact of organizational citizenship behavior on organizational performance: A review and suggestions for future research. Organizational Citizenship Behavior and Contextual Performance. 133–51 (2014). https://doi.org/10.1207/s15327043hup1002_5 [Google Scholar]
  14. Blumberg B, Cooper D, Schindler P. EBOOK: Business research methods: McGraw Hill; 2014. [Google Scholar]
  15. Afifa MMA, Van HV, Van TLH. Blockchain adoption in accounting by an extended UTAUT model: empirical evidence from an emerging economy. Journal of Financial Reporting and Accounting. (2022). [Google Scholar]
  16. Mukherjee S, Baral MM, Lavanya BL, Nagariya R, Singh Patel B, Chittipaka V. Intentions to adopt the blockchain: investigation of the retail supply chain. Management Decision. 61(5), 1320–51 (2023). https://doi.org/10.1108/MD-03-2022-0369 [CrossRef] [Google Scholar]
  17. Ferri L, Spanò R, Ginesti G, Theodosopoulos G. Ascertaining auditors’ intentions to use blockchain technology: evidence from the Big 4 accountancy firms in Italy. Meditari Accountancy Research. 29(5), 1063–87 (2021). https://doi.org/10.1108/MEDAR-03-2020-0829 [CrossRef] [Google Scholar]
  18. Davis FD. User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies. 38(3), 475–87 (1993). https://doi.org/10.1006/imms.1993.1022 [CrossRef] [Google Scholar]
  19. Srivastava S, Mohta A, Shunmugasundaram V. Adoption of digital payment FinTech service by Gen Y and Gen Z users: evidence from India. Digital Policy, Regulation and Governance. 26(1), 95–117 (2024). https://doi.org/10.1108/DPRG-07-2023-0110 [CrossRef] [Google Scholar]
  20. Sofyani H, Darma ES. Effect of architecture and efficiency of mobile banking application on the intention to continue using Islamic bank: does data security matter? Journal of Islamic Marketing. 15(6), 1479–97 (2024). https://doi.org/10.1108/JIMA-07-2023-0220 [CrossRef] [Google Scholar]
  21. Hair JF, Risher JJ, Sarstedt M, Ringle CM. When to use and how to report the results of PLS-SEM. European business review. 31(1), 2–24 (2019). https://doi.org/10.1108/EBR-11-2018-0203 [CrossRef] [Google Scholar]
  22. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research. 18(1), 39–50 (1981). https://doi.org/10.1177/002224378101800104 [CrossRef] [Google Scholar]
  23. Sekaran U. Research methods for business: A skill building approach. John Wiley & Sons; 2016. [Google Scholar]
  24. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science. 43, 115–35 (2015). https://doi.org/10.1007/s11747-014-0403-8 [CrossRef] [Google Scholar]
  25. Chin WW. The partial least squares approach to structural equation modeling. Modern methods for business research/Lawrence Erlbaum Associates. (1998). [Google Scholar]
  26. Sarstedt M, Ringle CM, Cheah J-H, Ting H, Moisescu OI, Radomir L. Structural model robustness checks in PLS-SEM. Tourism Economics. 26(4), 531–54 (2020). https://doi.org/10.1177/1354816618823921 [CrossRef] [Google Scholar]
  27. Patil H, Undale S. Willingness of university students to continue using e-Learning platforms after compelled adoption of technology: Test of an extended UTAUT model. Education and Information Technologies. 28(11), 14943–65 (2023). https://doi.org/10.1007/s10639-023-11778-6 [CrossRef] [Google Scholar]
  28. Chu T-H, Chao C-M, Liu H-H, Chen D-F. Developing an extended theory of UTAUT 2 model to explore factors influencing Taiwanese consumer adoption of intelligent elevators. Sage Open. 12(4), 21582440221142209 (2022). https://doi.org/10.1177/21582440221142209 [CrossRef] [Google Scholar]
  29. Wang D, Ozden M, Tsang YP. The impact of facilitating conditions on electric vehicle adoption intention in China: An integrated unified theory of acceptance and use of technology model. International Journal of Engineering Business Management. 15, 18479790231224715 (2023). https://doi.org/10.1177/18479790231224715 [CrossRef] [Google Scholar]
  30. Yermack D. Corporate governance and blockchains. Review of finance. 21(1), 7–31 (2017). https://doi.org/10.1093/rof/rfw074 [Google Scholar]
  31. Wong L-W, Tan GW-H, Lee V-H, Ooi K-B, Sohal A. Unearthing the determinants of Blockchain adoption in supply chain management. International Journal of Production Research. 58(7), 2100–23 (2020). https://doi.org/10.1080/00207543.2020.1730463 [CrossRef] [Google Scholar]
  32. Afifa MMA, Van HV, Van TLH. Blockchain adoption in accounting by an extended UTAUT model: empirical evidence from an emerging economy. Journal of Financial Reporting and Accounting. 21(1), 5–44 (2022). https://doi.org/10.1108/JFRA-12-2021-0434 [Google Scholar]

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