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    Bibliographic reference management: The role of technological appropriation in students
    (Ani Publishing, 2022-01-01)
    Purpose Over the past two decades, bibliographic reference management software has evolved as an example of technical innovation. Students believe reference management software, such as Mendeley, Zotero, Endnote, and Refworks, to be a modern tool and a tremendous help when conducting academic research. Consequently, this study aims to emphasize the significance of bibliographic reference management software. Design/methodology/approach This research was conducted using Bibliometric analysis. For this aim, relevant papers were selected for review, and after screening, 18 papers were finalized. In different years of reviewed published research papers, authors apparently employed varying research procedures. Findings The results suggested that reference management software improves the trustworthiness of student academic research. The perceptions of various pupils vary based on the reference management software they use. Software for managing references promotes writing and critical thinking in academic research. Practical implications The research has significant practical significance as a valuable supplement to the trend of student adoption of reference management software for academic research. The software developers can also get information from this study by evaluating the significance of bibliographic management software, the extent of its quick emergence, and the increasing tendency of students to adopt it for their theses and other research projects. Originality/value The unique contribution of this study to the corpus of knowledge gives it theoretical relevance. As it is an important addition to the literature regarding the selection of student reference management software in academic institutions, it is included here.
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    A Critical Analysis of the Integration of Blockchain and Artificial Intelligence for Supply Chain
    (Springer, 2023-08-01)
    The integration between blockchain and artificial intelligence (AI) has gained a lot of attention in recent years, especially since such integration can improve security, efficiency, and productivity of applications in business environments characterised by volatility, uncertainty, complexity, and ambiguity. In particular, supply chain is one of the areas that have been shown to benefit tremendously from blockchain and AI, by enhancing information and process resilience, enabling faster and more cost-efficient delivery of products, and augmenting products’ traceability, among others. This paper performs a state-of-the-art review of blockchain and AI in the field of supply chains. More specifically, we sought to answer the following three principal questions: Q1—What are the current studies on the integration of blockchain and AI in supply chain?, Q2—What are the current blockchain and AI use cases in supply chain?, and Q3—What are the potential research directions for future studies involving the integration of blockchain and AI? The analysis performed in this paper has identified relevant research studies that have contributed both conceptually and empirically to the expansion and accumulation of intellectual wealth in the supply chain discipline through the integration of blockchain and AI.