Browsing by Author "Khan M"

Now showing 1 - 3 of 3
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    Corporate Social Responsibility in Vietnam: Systematic review of research and future directions.
    (Emerald, 2/08/2021) Nguyen M; Khan M; Bensemann J
    While research on corporate social responsibility (CSR) is reaching new territories, the extent to which such literature manifests itself in developing countries is yet to be fully understood. To that end, this study investigates the understanding, evolution, and practice of CSR in Vietnam. A systematic review of the current literature in the recent past (2000-2020) has been embraced in this research. By analysing a total of 143 articles, we demonstrate that there has been visible growth in published articles related to CSR in Vietnam over the last 21 years. We demonstrate that CSR research in Vietnam has significantly grown in the recent past. Our results highlight the in-depth distribution of publications by year, journal, industry, nature, and focus of CSR research in the country. This study is not only the first to provide an enhanced overview of the current state of CSR knowledge in the country but also sets out directions within the CSR research agenda related to Vietnam and potentially other emerging and developing countries.
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    The unseen in the glass ceilings: examining women’s career advancement in higher education institutions through a multi-level institutional lens
    (Taylor and Francis Group, 2024-04-25) Khan M; Sulaiman R; Nazir O; Khan S; Awan S
    As women’s presence in higher education grows, their limited representation in academic leadership roles remains a critical concern. This study investigates the complex institutional barriers hindering women’s advancement into leadership positions. Drawing on in-depth interviews with 37 women in academia, our analysis reveals multifaceted challenges rooted in institutional, organisational, and individual factors. Institutionally, cultural and societal norms, including those influenced by religious traditions, profoundly influence gender dynamics within specific contexts. Organizational factors, such as a predominantly male workforce and entrenched practices, pose significant obstacles to women’s career progression in academic institutions. At a personal level, we introduce the concept of internalisation of subjugation, which captures women academics’ tendency to adopt more masculine practices, echoing observations from traditional leadership models. This research offers valuable insights into the nuanced barriers constraining women’s path to academic leadership. A comprehensive understanding of these challenges is essential for developing targeted strategies and policies to promote gender equality and inclusivity in higher education institutions.
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    Transcriptomic in silico analysis of bovine Escherichia coli mastitis highlights its immune-related expressed genes as an effective biomarker.
    (Elsevier B.V., 2021-12) Farmanullah F; Liang X; Khan FA; Salim M; Rehman ZU; Khan M; Talpur HS; Schreurs NM; Gouda M; Khan SU; Shujun Z
    BACKGROUND: Mastitis is one of the major diseases causing economic loss to the dairy industry by reducing the quantity and quality of milk. Thus, the objective of this scientific study was to find new biomarkers based on genes for the early prediction before its severity. METHODS: In the present study, advanced bioinformatics including hierarchical clustering, enrichment analysis, active site prediction, epigenetic analysis, functional domain identification, and protein docking were used to analyze the important genes that could be utilized as biomarkers and therapeutic targets for mastitis. RESULTS: Four differentially expressed genes (DEGs) were identified in different regions of the mammary gland (teat cistern, gland cistern, lobuloalveolar, and Furstenberg's rosette) that resulted in 453, 597, 577, and 636 DEG, respectively. Also, 101 overlapped genes were found by comparing 27 different expressed genes. These genes were associated with eight immune response pathways including NOD-like receptor signaling pathway (IL8, IL18, IL1B, PYDC1) and chemokine signaling pathway (PTK2, IL8, NCF1, CCR1, HCK). Meanwhile, 241 protein-protein interaction networks were developed among overlapped genes. Fifty-seven regulatory events were found between miRNAs, expressed genes, and the transcription factors (TFs) through micro-RNA and transcription factors (miRNA-DEG-TF) regulatory network. The 3D structure docking model of the expressed genes proteins identified their active sites and the binding ligands that could help in choosing the appropriate feed or treatment for affected animals. CONCLUSIONS: The novelty of the distinguished DEG and their pathways in this study is that they can precisely improve the detection biomarkers and treatments techniques of cows' Escherichia coli mastitis disease due to their high affinity with the target site of the mammary gland before appearing the symptoms.