Analyse the applicability of blockchain technology in melaleuca oil supply chain in Hue
Vol. 132 No. 5C (2023), Original Article
Vol. 132 No. 5C (2023)

Analyse the applicability of blockchain technology in melaleuca oil supply chain in Hue

Original Article
https://doi.org/10.26459/hueunijed.v132i5C.7110
Published 2023-11-28
Tran Thai Hoa
University of Economics, Hue University, 99 Ho Dac Di St., Hue, Vietnam
Duong Dac Quang Hao
University of Economics, Hue University, 99 Ho Dac Di St., Hue, Vietnam
Truong Tan Quan
University of Economics, Hue University, 99 Ho Dac Di St., Hue, Vietnam
PDF (Vietnamese)

Keywords

blockchain technology
supply chain
melaleuca oil
Hue Công nghệ blockchain
chuỗi cung ứng
dầu tràm
Huế

Abstract

On the basis of referenced studies on blockchain technology and the applicability of blockchain in supply chain management of agricultural products, the study analyzes the applicability of blockchain technology in melaleuca oil supply chain in Hue. The study applies both qualitative and quantitative research methods. The results of the qualitative research step help outline a new research framework with 6 groups of aspects to be assessed. Next, the study surveys 215 units/individuals involved in the melaleuca oil supply chain, the sample is selected by simple random method. The obtained results show that the groups of aspects related to readiness (REA), compatibility (COM), cooperatability (COO) and legal environment (LEG) are trickiest obstacles to the applicability of blockchain technology. In addition, the difference test shows that each group of units/individuals in the supply chain has different levels of readiness for the application of new technology.

https://doi.org/10.26459/hueunijed.v132i5C.7110
PDF (Vietnamese)

References

  1. Agwu, A. E., Ekwueme, J. N., & Anyanwu, A. C. (2008), Adoption of improved agricultural technologies disseminated via radio farmer programme by farmers in Enugu State, Nigeria, African Journal of Biotechnology, 7(9).
  2. Ajzen, I. (1991), The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50(2), 179–211.
  3. Ali, J. (2012), Factors affecting the adoption of information and communication technologies (ICTs) for farming decisions, Journal of Agricultural & Food Information, 13(1), 78–96.
  4. Alvarez, J., & Nuthall, P. (2006), Adoption of computer based information systems: The case of dairy farmers in Canterbury, NZ, and Florida, Uruguay, Computers and Electronics in Agriculture, 50(1), 48–60.
  5. Anderson, J. C., & Gerbing, D. W. (1988), Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, 103(3), 411.
  6. Arbuckle, J. L. (2006), 17.0 user’s guide, Crawfordville, FL. Amos Development Corporation.
  7. Banafa, A. (2017), IoT and blockchain convergence: Benefits and challenges, IEEE Internet of Things, 9(2017).
  8. Beck, R., Becker, C., Lindman, J., & Rossi, M. (2017), Opportunities and risks of blockchain technologies (Dagstuhl Seminar 17132), Dagstuhl Reports, 7(3).
  9. Davis, F. D. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 319–340.
  10. Depietro, R., Wiarda, E., & Fleischer, M. (1990), The context for change: Organization, technology and environment, The Processes of Technological Innovation, 199(0), 151–175.
  11. Fabrigar, L. R., & Wegener, D. T. (2011), Exploratory factor analysis, Oxford University Press.
  12. Fishbein, M., & Ajzen, I. (1977), Belief, attitude, intention, and behavior: An introduction to theory and research.
  13. Foroglou, G., & Tsilidou, A. -L. (2015), Further applications of the blockchain, 12th Student Conference on Managerial Science and Technology, 9.
  14. Friedman, N., & Ormiston, J. (2022), Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains, Technological Forecasting and Social Change, 175, 121403.
  15. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998), Multivariate data analysis, Upper Saddle River, NJ: Prentice Hall.
  16. Dương Đắc Quang Hảo (2021), Mối liên hệ giữa nhu cầu truy xuất nguồn gốc và quyết định mua thực phẩm sạch của người tiêu dùng trên địa bàn thành phố Huế, Tạp Chí Khoa Học Quản Lý và Kinh Tế, Trường Đại Học Kinh Tế, Đại Học Huế, 20.
  17. Duong Dac Quang Hao, Tran Thai Hoa, & Nguyen Huu Dung (2020), Factors affecting customers’acceptance of the adoption of blockchain technology at Dong A Commercial Joint Stock Bank, Hue Branch, Hue University Journal of Science: Economics and Development, 129(5A), 5–16.
  18. Johansen, S. K. (2018), A comprehensive literature review on the Blockchain as a technological enabler for innovation, Dept. of Information Systems, Mannheim University, Germany, 1–29.
  19. Khan, S., Kaushik, M. K., Kumar, R. & Khan, W. (2022), Investigating the barriers of blockchain technology integrated food supply chain: A BWM approach, Benchmarking: An International Journal.
  20. Khuất Thanh Sơn, Nguyễn Trường Thắng, Trần Hùng, & Nguyễn Hà Thanh (2018), Công nghệ Blockchain trong vấn đề đảm bảo tính toàn vẹn và minh bạch của dữ liệu.
  21. Koteska, B., Karafiloski, E. & Mishev, A. (2017), Blockchain implementation quality challenges: A literature, SQAMIA 2017: 6th Workshop of Software Quality, Analysis, Monitoring, Improvement, and Applications, 1938, 8–8.
  22. Kristiansen, P., Hong, H. H., Tuan, N. T. & An, N. T. T. (2014), Value Chain Analysis of the Cajuput Oil Industry in Thua Thien Hue Province, Vietnam.
  23. Kshetri, N. (2017), Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommunications Policy, 41(10), 1027–1038.
  24. Phạm Thị Ngọc Lan, & Ngô Thị Tuyết Mai (2012), Khảo sát ô nhiễm vi sinh vật trong một số thực phẩm trên địa bàn thành phố Huế năm 2010–2011, Hue University Journal of Science: Natural Science, 73(4).
  25. Lee, J.-H. & Pilkington, M. (2017), How the blockchain revolution will reshape the consumer electronics industry [future directions], IEEE Consumer Electronics Magazine, 6(3), 19–23.
  26. Lin, W.-H., Giachello, C. N. & Baines, R. A. (2017), Seizure control through genetic and pharmacological manipulation of Pumilio in Drosophila: A key component of neuronal homeostasis, Disease Models & Mechanisms, 10(2), 141–150.
  27. Lindman, J., Tuunainen, V. K. & Rossi, M. (2017), Opportunities and risks of Blockchain Technologies–a research agenda.
  28. Nunnally, J. C. (1978), Psychometric Theory 2nd ed., Mcgraw hill book company.
  29. Peterson, R. A. (1994), A meta-analysis of Cronbach’s coefficient alpha, Journal of Consumer Research, 21(2), 381–391.
  30. Phạm Anh Đào (2021), Phân tích hoạt động truy xuất nguồn gốc trong chuỗi cung ứng nông sản xuất khẩu của Việt Nam sang EU.
  31. Pretty, J. N., Morison, J. I. & Hine, R. E. (2003), Reducing food poverty by increasing agricultural sustainability in developing countries, Agriculture, Ecosystems & Environment, 95(1), 217–234.
  32. Shrier, D., Wu, W. & Pentland, A. (2016), Blockchain & infrastructure (identity, data security), Massachusetts Institute of Technology-Connection Science, 1(3), 1–19.
  33. Slater, S. F. (1995), Issues in conducting marketing strategy research, Journal of Strategic Marketing, 3(4), 257–270.
  34. Swan, M. (2015), Blockchain: Blueprint for a new economy, O’Reilly Media, Inc.
  35. Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003), User acceptance of information technology: Toward a unified view, MIS Quarterly, 425–478.
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2023 Array