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| Title | Topic-Based Classification And Identification Of Global Trends For Blockchain Technology In Agriculture Food Supply Chain Management |
|---|---|
| ID_Doc | 57533 |
| Authors | Saad N.H.M.; Peng W.W.; Anwar M.F.; Kun Z. |
| Year | 2025 |
| Published | Lecture Notes in Civil Engineering, 557 LNCE |
| DOI | http://dx.doi.org/10.1007/978-981-97-8348-9_18 |
| Abstract | Blockchain technologies are well recognised in the field of digital transformation for their significant role in the management of agriculture supply chains. This study utilises newspaper and magazine articles from the ProQuest database of recent newspapers and the global news stream. These databases are regarded as providing comprehensive news coverage regarding the issue of block technology in the agriculture supply chain. The dataset is focused on the news from 1 January 2005 to 16 October 2021, where 6,894 relevant documents were collected for analysis. The data was then analysed using Latent Dirichlet Allocation topic modelling using Python software. Furthermore, we categorised these topics into 20 distinct themes. Blockchain technology has the potential to make significant contributions towards achieving ecologically sustainable development goals (SDGs) from several perspectives. These include facilitating the establishment of sustainable supply chains, enhancing energy efficiency, and fostering the construction of secure and dependable smart cities. The significance of mass media is reflected, among other things, by the fact that their coverage of specific issues is frequently viewed as a reflection of the issues discussed by society. The paper provides a comprehensive, unbiased trend of blockchain in the agriculture food supply chain management landscape related to the issues and technical, social, and managerial aspects of research that are particularly useful for the community of researchers in the field. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. |
| Author Keywords | Agriculture; Blockchain; Food Supply Chain; Topic Modeling |
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