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Factors Affecting the Organizational Adoption of Blockchain Technology: Extending the Technology–Organization–Environment (TOE) Framework in the Australian Context

Author

Listed:
  • Saleem Malik

    (School of Engineering, IT and Physical Sciences, Federation University Australia, Mount Helen, VIC 3350, Australia)

  • Mehmood Chadhar

    (School of Engineering, IT and Physical Sciences, Federation University Australia, Mount Helen, VIC 3350, Australia)

  • Savanid Vatanasakdakul

    (Department of Information Systems, Carnegie Mellon University, Doha P.O. Box 24866, Qatar)

  • Madhu Chetty

    (School of Engineering, IT and Physical Sciences, Federation University Australia, Mount Helen, VIC 3350, Australia)

Abstract

Blockchain technology (BCT) has been gaining popularity due to its benefits for almost every industry. However, despite its benefits, the organizational adoption of BCT is rather limited. This lack of uptake motivated us to identify the factors that influence the adoption of BCT from an organizational perspective. In doing this, we reviewed the BCT literature, interviewed BCT experts, and proposed a research model based on the TOE framework. Specifically, we theorized the role of technological (perceived benefits, compatibility, information transparency, and disintermediation), organizational (organization innovativeness, organizational learning capability, and top management support), and environmental (competition intensity, government support, trading partners readiness, and standards uncertainty) factors in the organizational adoption of BCT in Australia. We confirmed the model with a sample of adopters and potential adopter organizations in Australia. The results show a significant role of the proposed factors in the organizational adoption of BCT in Australia. Additionally, we found that the relationship between the influential factors and BCT adoption is moderated by “perceived risks”. The study extends the TOE framework by adding factors that were ignored in previous studies on BCT adoption, such as perceived information transparency, perceived disintermediation, organizational innovativeness, organizational learning capability, and standards uncertainty.

Suggested Citation

  • Saleem Malik & Mehmood Chadhar & Savanid Vatanasakdakul & Madhu Chetty, 2021. "Factors Affecting the Organizational Adoption of Blockchain Technology: Extending the Technology–Organization–Environment (TOE) Framework in the Australian Context," Sustainability, MDPI, vol. 13(16), pages 1-33, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9404-:d:619116
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    1. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2020. "Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(C).
    2. Douglas J. Cumming & Sofia Johan & Anshum Pant, 2019. "Regulation of the Crypto-Economy: Managing Risks, Challenges, and Regulatory Uncertainty," JRFM, MDPI, vol. 12(3), pages 1-14, July.
    3. Viswanath Venkatesh & Hillol Bala, 2012. "Adoption and Impacts of Interorganizational Business Process Standards: Role of Partnering Synergy," Information Systems Research, INFORMS, vol. 23(4), pages 1131-1157, December.
    4. Anjee Gorkhali & Ling Li & Asim Shrestha, 2020. "Blockchain: a literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(3), pages 321-343, July.
    5. Daeheon Choi & Chune Young Chung & Thou Seyha & Jason Young, 2020. "Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks," Sustainability, MDPI, vol. 12(21), pages 1-37, October.
    6. Mikayla Novak, 2019. "Crypto-friendliness: understanding blockchain public policy," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 9(2), pages 165-184, September.
    7. 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.
    8. Nur Ainna Ramli & Hengky Latan & Gilbert V. Nartea, 2018. "Why Should PLS-SEM Be Used Rather Than Regression? Evidence from the Capital Structure Perspective," International Series in Operations Research & Management Science, in: Necmi K. Avkiran & Christian M. Ringle (ed.), Partial Least Squares Structural Equation Modeling, chapter 0, pages 171-209, Springer.
    9. Orji, Ifeyinwa Juliet & Kusi-Sarpong, Simonov & Huang, Shuangfa & Vazquez-Brust, Diego, 2020. "Evaluating the factors that influence blockchain adoption in the freight logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    10. Ye Guo & Chen Liang, 2016. "Blockchain application and outlook in the banking industry," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-12, December.
    11. Kühn, Oliver & Jacob, Axel & Schüller, Michael, 2019. "Blockchain adoption at German logistics service providers," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg Int, volume 27, pages 387-411, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    12. Lai-Wan Wong & Garry Wei-Han Tan & Voon-Hsien Lee & Keng-Boon Ooi & Amrik Sohal, 2020. "Unearthing the determinants of Blockchain adoption in supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2100-2123, April.
    13. Garrard, Robert & Fielke, Simon, 2020. "Blockchain for trustworthy provenances: A case study in the Australian aquaculture industry," Technology in Society, Elsevier, vol. 62(C).
    14. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    15. Shanaev, Savva & Sharma, Satish & Ghimire, Binam & Shuraeva, Arina, 2020. "Taming the blockchain beast? Regulatory implications for the cryptocurrency Market," Research in International Business and Finance, Elsevier, vol. 51(C).
    16. Paul Chwelos & Izak Benbasat & Albert S. Dexter, 2001. "Research Report: Empirical Test of an EDI Adoption Model," Information Systems Research, INFORMS, vol. 12(3), pages 304-321, September.
    17. Min Xu & Xingtong Chen & Gang Kou, 2019. "A systematic review of blockchain," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-14, December.
    18. Alberto La Cava & Mary Kate Naatus, 2020. "Disrupting Business as Usual: Blockchain Startups in the International Remittance Market," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 11(2), pages 47-54, April.
    19. Tseng, Shun-Yao & Wang, Ching-Nan, 2016. "Perceived risk influence on dual-route information adoption processes on travel websites," Journal of Business Research, Elsevier, vol. 69(6), pages 2289-2296.
    20. Blind, Knut & Petersen, Sören S. & Riillo, Cesare A.F., 2017. "The impact of standards and regulation on innovation in uncertain markets," Research Policy, Elsevier, vol. 46(1), pages 249-264.
    21. Thong, J. Y. L. & Yap, C. S., 1995. "CEO characteristics, organizational characteristics and information technology adoption in small businesses," Omega, Elsevier, vol. 23(4), pages 429-442, August.
    22. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    23. Don Gunasekera & Ernesto Valenzuela, 2020. "Adoption of Blockchain Technology in the Australian Grains Trade: An Assessment of Potential Economic Effects," Economic Papers, The Economic Society of Australia, vol. 39(2), pages 152-161, June.
    24. Chunguang Bai & Joseph Sarkis, 2020. "A supply chain transparency and sustainability technology appraisal model for blockchain technology," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2142-2162, April.
    25. Jay Parekh & Azain Jaffer & Urvi Bhanushali & Shekhar Shukla, 0. "Disintermediation in medical tourism through blockchain technology: an analysis using value-focused thinking approach," Information Technology & Tourism, Springer, vol. 0, pages 1-28.
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