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<p>Cost–benefit analysis (CBA) plays a critical role in guiding cloud computing adoption and investment decisions, yet the research landscape surrounding this topic remains fragmented across technical and interdisciplinary domains. This study presents a comprehensive bibliometric analysis of scientific publications on cost–benefit analysis in cloud computing over the period 2010–2024. Data were retrieved from the Scopus database using a structured search strategy and analyzed using the Bibliometrix package in R and VOSviewer for performance evaluation and science mapping. A total of 970 publications were included following screening and duplicate removal. The results reveal sustained growth in scientific production, particularly after the mid-2010s, reflecting the increasing strategic importance of economic evaluation in cloud environments. Journal articles constitute the largest share of publications, although conference papers also represent a substantial proportion, indicating a technologically dynamic research domain. The United States and China emerge as the leading contributors in terms of productivity and citation impact, while several other countries demonstrate growing participation and collaboration. Source analysis shows that research is predominantly published in engineering- and technology-oriented journals, highlighting the technical orientation of cost modeling and optimization studies. Keyword co-occurrence analysis identifies core thematic clusters centered on cost modeling, optimization, resource allocation, scheduling algorithms, and performance evaluation. Emerging themes include edge computing, serverless computing, energy efficiency, security, and sustainability, suggesting that the conceptualization of costs and benefits is expanding beyond traditional financial metrics. Overall, the findings demonstrate that CBA in cloud computing has evolved into a structured and expanding research field with increasing methodological diversity and interdisciplinary relevance. The study provides a consolidated overview of its intellectual structure and identifies directions for future research, particularly in standardizing evaluation frameworks and integrating empirical validation into economic modeling approaches.</p>

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A bibliometric study of cost benefit analysis in cloud computing research

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月22日

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  • Abdikarim Abdi Abdulle,
  • Abdukadir Dahir Jimale,
  • Mohamed Abdirahman Addow,
  • Abdulaziz Yasin Nageye

摘要

Cost–benefit analysis (CBA) plays a critical role in guiding cloud computing adoption and investment decisions, yet the research landscape surrounding this topic remains fragmented across technical and interdisciplinary domains. This study presents a comprehensive bibliometric analysis of scientific publications on cost–benefit analysis in cloud computing over the period 2010–2024. Data were retrieved from the Scopus database using a structured search strategy and analyzed using the Bibliometrix package in R and VOSviewer for performance evaluation and science mapping. A total of 970 publications were included following screening and duplicate removal. The results reveal sustained growth in scientific production, particularly after the mid-2010s, reflecting the increasing strategic importance of economic evaluation in cloud environments. Journal articles constitute the largest share of publications, although conference papers also represent a substantial proportion, indicating a technologically dynamic research domain. The United States and China emerge as the leading contributors in terms of productivity and citation impact, while several other countries demonstrate growing participation and collaboration. Source analysis shows that research is predominantly published in engineering- and technology-oriented journals, highlighting the technical orientation of cost modeling and optimization studies. Keyword co-occurrence analysis identifies core thematic clusters centered on cost modeling, optimization, resource allocation, scheduling algorithms, and performance evaluation. Emerging themes include edge computing, serverless computing, energy efficiency, security, and sustainability, suggesting that the conceptualization of costs and benefits is expanding beyond traditional financial metrics. Overall, the findings demonstrate that CBA in cloud computing has evolved into a structured and expanding research field with increasing methodological diversity and interdisciplinary relevance. The study provides a consolidated overview of its intellectual structure and identifies directions for future research, particularly in standardizing evaluation frameworks and integrating empirical validation into economic modeling approaches.