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Gurmani Chadha

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Review Aug 2026

From profit to people: mapping the rise of social sustainability in supply chains through a scientometric analysis

This study aims to conduct a comprehensive scientometric review of social sustainability in supply chains, analyzing 970 articles published between 2002 and 2024 from Web of Science (WoS). The research addresses the critical gap in understanding social sustainability aspects compared to environmental dimensions in supply chain literature. The study uses CiteSpace software to create structure-based visualizations and networks, analyzing prominent authors, documents, keywords, journals, countries and institutions in the field. The methodology involves systematic review and bibliometric analysis of the literature to identify key themes and patterns in social sustainability based supply chain research The analysis reveals that research is predominantly concentrated in tier-1 and high-GDP nations. Key industries focusing on social sustainability include agriculture, food and beverage, transportation and logistics, manufacturing, fashion and retail sectors. These sectors primarily address issues such as labor regulations, fair wages and local community involvement and diversity. The study identifies major motor themes through co-citation and cluster analysis. The study is limited to articles indexed in WoS, potentially excluding relevant research from other databases. Future research directions should focus on advancing social supply chain management, integrating emerging technologies such as Blockchain, sensors and digital transformation, improving risk management, implementing fuzzy logic decision-making and enhancing transparency. The findings provide organizations with insights into implementing social sustainability practices across supply chains. The study offers guidance for industry practitioners on addressing social challenges and integrating sustainable practices into their operations, particularly in areas of labor rights, community engagement and technological integration. The research highlights the importance of addressing social sustainability in global supply chains and its impact on local communities, labor conditions and societal well-being. It emphasizes the need for greater attention to social aspects of sustainability, particularly in developing nations and lower-tier supply chain partners. To the best of the authors’ knowledge, this study presents the first large-scale scientometric analysis of social sustainability in supply chains, offering a comprehensive overview of the field’s evolution from 2002 to 2024. It provides valuable insights for policymakers, firms, society and academia while establishing a roadmap for future research and practical implementation of social sustainability in supply chains.

Monica Singhania, Gurmani Chadha · 0 citations
Review Aug 2026

Decoding Adaptation Finance Research Dynamics: A Comprehensive Tri‐Methodological Review and Research Agenda

With time, adaptation finance (AF) has become an essential instrument for achieving the objective of capacity building and safeguarding vulnerable nations from the damaging effects of climate change. While global dialogue has focused on mitigation strategies, growing recognition of the irreversibility of certain climate impacts has intensified attention on how societies can be financially equipped to adapt to a changing climate. In this context, the AF domain is experiencing increased interest from both practitioners and academics; however, there is a lack of comprehensive studies mapping this area of knowledge. The present research addresses this gap by utilizing three methodological approaches to map the intellectual and social framework of the AF field. A scientometric analysis was conducted using CiteSpace software to create networks of authors, countries, keywords, and institutions involved in AF publications, highlighting the predominance of contributions from developed nations, with limited research participation from developing countries. Second, cluster analysis was performed using Python, employing TF‐IDF matrix and K‐means clustering yielding seven distinct clusters: Climate Adaptation Funding and Policy, Private Sector Engagement, Economic Impacts, Global Initiatives and Policies, Adaptation Coordination and Implementation, Risk Management, and Local Community‐Based Initiatives. Third, content analysis of 62 recent studies, combined with scientometric and clustering techniques, was conducted to identify promising future research directions. Implications for various stakeholders are discussed.

Gurmani Chadha · 0 citations

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