Business incubation has become an important mechanism for supporting entrepreneurship, fostering innovation, and strengthening entrepreneurial ecosystems. However, the rapid growth of research in this field has resulted in diverse perspectives and fragmented knowledge development. This study aims to examine the intellectual structure, publication trends, influential contributions, collaboration patterns, and emerging research themes in global business incubation literature through a bibliometric analysis approach. Data were collected from the Scopus database using relevant keywords related to business incubation and business incubators. The collected publications were analyzed using bibliometric techniques, including performance analysis, citation analysis, co-authorship analysis, country collaboration analysis, keyword co-occurrence analysis, and thematic evolution mapping with the support of VOSviewer. The findings reveal that business incubation research has developed from a traditional focus on startup support toward broader perspectives involving entrepreneurship ecosystems, innovation development, technology transfer, and sustainable economic growth. The most influential studies emphasize the evolution of incubator models, technology business incubation, social capital, and incubation outcomes. The analysis also indicates that the United States, the United Kingdom, and China represent the most active contributors in shaping global research collaboration. Furthermore, keyword analysis highlights entrepreneurship, innovation, business incubators, SMEs, and technology commercialization as the dominant research themes, while recent studies increasingly explore incubation networks, digital transformation, and ecosystem-based approaches. This study contributes to the existing literature by providing a comprehensive mapping of global business incubation research and identifying future research opportunities related to digital incubation, artificial intelligence-supported entrepreneurship, and sustainable innovation ecosystems.
Green data centers have become a central concern in computing infrastructure management as organizations pursue energy efficiency alongside environmental sustainability. In this study, an attempt is made to conduct a bibliometric analysis to investigate the intellectual structure, research trends, key contributors, and emerging themes in green data center and computing energy efficiency scholarship. The data were collected from the Scopus database using keywords “green data center”, “green computing”, and “energy efficiency” and analyzed using VOSviewer to conduct co-occurrence analysis, citation analysis, co-authorship analysis, institutional collaboration analysis, and country collaboration mapping. The results show that green computing, energy efficiency, and data centers form the core themes linked with cloud computing, virtual machine consolidation, cooling systems, and renewable energy integration. Based on citation analysis, key contributions such as energy-aware resource allocation heuristics, dynamic virtual machine consolidation algorithms, and thermal-aware cooling strategies significantly influence the field. The collaboration analysis demonstrates that the United States, China, India, and the United Kingdom serve as major contributors to the global research network, supported by a small group of highly prolific scholars, while institutional affiliation reporting across the field remains fragmented and generically labeled. Furthermore, thematic evolution indicates a transition from infrastructure-level cooling and consolidation concerns toward machine-learning-driven scheduling and carbon-aware resource management. This study contributes by providing comprehensive mapping of green data center research development and identifying critical research gaps for future scholarship, particularly in integrating renewable energy with intelligent workload orchestration.
Loso Judijanto, Tina Isnaeni, Rani Eka Arini· West Science Social and Huma...· 0 citations
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