Exploring the research trends of entrepreneurship and innovation for agricultural competitiveness: a bibliometric analysis

Abstract

Entrepreneurship and innovation have a positive impact on competitiveness, including in the agricultural sector. Since much research is conducted on entrepreneurship and innovation, it is challenging to map the research trends and obtain directions for future research, especially in agricultural competitiveness. This study aims to provide a systematic overview by analyzing the research trend and main topic of entrepreneurship and innovation studies related to agricultural competitiveness. Next, this study also analyzes the potential topic for future research. Data collected from the Scopus database and bibliometric analysis using the Biblioshiny (R package) and VOSviewer software. The results showed that the number of publications on research interest in this area increases over time. The increasing research on this topic can be seen in the trends of documents produced. This study focused on four main topics: agricultural development, agricultural sustainability, agricultural economy, and agricultural technology. The hot topic mainly discusses in the last three years related to agricultural robots, investment, agro-industrial complex, biotechnology, technology transfer, crops, international trade, alternative agriculture, agricultural trade, and supply chain management. Further, the keywords: agribusiness, financial resources, manufacture, agricultural enterprises, strategy, organizational framework, industry, economic competitiveness, development, and social entrepreneurship still need to explore and potentially discuss in the future.

Scientific Publications in the Field of Agricultural Economics: Scientometric Analysis of Topics

“…Для выбора ключевых направлений исследований в области сельскохозяйственных наук использовались тематическое моделирование (Девяткин и др., 2018), определение наиболее употребляемых ключевых слов (Благинин и др., 2019), оценка совместной встречаемости терминов (Mesa-Vázquez et al, 2021), анализ цитирования (Chen et al, 2018;Wahyudi, Kiminami, 2021), система интеллектуального анализа больших данных Intelligent Foresight Analytics (iFORA) (Кузьминов и др., 2018), программа для построения и визуализации библиометрических сетей VOSviewer (Analuisa-Aroca et al, 2021;Wahyudi, Kiminami, 2021).…”