Browsing by Author "Rejeb, Abderahman"

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    Exploring food supply chain trends in the COVID-19 era: a bibliometric review
    (MDPI, 2022-09-29) Rejeb, Abderahman; Rejeb, Karim; Appolloni, Andrea; Iranmanesh, Mohammad; Treiblmaier, Horst; Jagtap, Sandeep
    Recently, the food supply chain (FSC) has been severely disrupted due to the COVID-19 pandemic, putting the vital flow of food products from farmers and producers to the ultimate consumers at risk. Furthermore, due to the pandemic, several food organizations have been prompted to rethink their strategies for the future. Although the literature on FSC research in the COVID-19 era is increasing, no attempt has been made to summarize this stream of research using bibliometric techniques. This paper fills this knowledge gap and looks at the current scholarly discourse around the FSC and COVID-19. Applying bibliometric techniques, 287 journal articles were extracted from Scopus and analyzed to determine the temporal evolution of FSC research, the most productive journals, researchers, countries, and the most relevant keywords and publications. To construct a keyword co-occurrence network and categorize the relevant literature, we used the computer program VOSviewer. The findings demonstrate the rapid expansion of FSC research during the COVID-19 pandemic. In addition, the top authors, publications, and nations for scientific output were also determined. Keyword co-occurrence network and detailed qualitative analysis both illustrate that FSC research revolves around six main themes: the impact of COVID-19 on the FSC and agriculture, FSC resilience, food waste and insecurity, fisheries and aquaculture, blockchain technology, and governance and innovation. This study represents the first effort to map worldwide FSC research in the COVID-19 era and draw on a comprehensive collection of journal articles and bibliometric approaches. It offers academics, practitioners, and decision-makers a snapshot of the state of the art in the FSC field and points to where further research is needed.
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    Unleashing the power of Internet of Things and blockchain: a comprehensive analysis and future directions
    (Elsevier, 2023-07-08) Rejeb, Abderahman; Rejeb, Karim; Appolloni, Andrea; Jagtap, Sandeep; Iranmanesh, Mohammad; Alghamdi, Salem; Alhasawi, Yaser; Kayikci, Yasanur
    As the fusion of the Internet of Things (IoT) and blockchain technology advances, it is increasingly shaping diverse fields. The potential of this convergence to fortify security, enhance privacy, and streamline operations has ignited considerable academic interest, resulting in an impressive body of literature. However, there is a noticeable scarcity of studies employing Latent Dirichlet Allocation (LDA) to dissect and categorize this field. This review paper endeavours to bridge this gap by meticulously analysing a dataset of 4455 journal articles drawn solely from the Scopus database, cantered around IoT and blockchain applications. Utilizing LDA, we have extracted 14 distinct topics from the collection, offering a broad view of the research themes in this interdisciplinary domain. Our exploration underscores an upswing in research pertaining to IoT and blockchain, emphasizing the rising prominence of this technological amalgamation. Among the most recurrent themes are IoT and blockchain integration in supply chain management and blockchain in healthcare data management and security, indicating the significant potential of this convergence to transform supply chains and secure healthcare data. Meanwhile, the less frequently discussed topics include access control and management in blockchain-based IoT systems and energy efficiency in wireless sensor networks using blockchain and IoT. To the best of our knowledge, this paper is the first to apply LDA in the context of IoT and blockchain research, providing unique perspectives on the existing literature. Moreover, our findings pave the way for proposed future research directions, stimulating further investigation into the less explored aspects and sustaining the growth of this dynamic field.