Agri-Startup Trend Analysis Based on Thematic Map Clustering

Document Type : Original Research

Authors
1 College of Management, University of Tehran, Tehran, Islamic Republic of Iran.
2 Faculty of Management and Accounting, College of Farabi, University of Tehran, Qom, Islamic Republic of Iran.
10.48311/jast.2026.16860
Abstract
This study employs thematic map clustering and Social Network Analysis (SNA) to analyze global Agri-startup trends, utilizing bibliometric data from the Scopus database. The research identifies key contributors, collaboration networks, and key thematic clusters that drive innovation in the agricultural sector. Findings reveal a significant upward trend in Agri-startup research, with sustainability, entrepreneurship, and technology integration emerging as the central themes. The study highlights the critical roles of prominent regions, institutions, and journals in shaping the field, underscoring the importance of precision agriculture and digital technologies in advancing agriculture. These insights offer actionable recommendations for stakeholders to foster innovation, promote sustainable development, address global agricultural challenges, and enhance food security, bridging academic research with practical applications in innovation ecosystems.
Keywords
Subjects

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