Analyzing Research Trends in Organic Agriculture and Entrepreneurship: A Topic Modeling Approach Using Latent Dirichlet Allocation (LDA)

Abstract

Organic farming products are becoming popular among healthy consumers as an alternative consumption method. Agricultural entrepreneurs interested in developing organic agriculture have emphasized organic farming to create value based on sustainable development through networking in production, processing, and marketing. Nevertheless, the development of organic agriculture still requires support studies to find appropriate approaches and methods to develop organic agriculture in various aspects. Thus, to investigate the appropriate techniques and strategies for organic farming, this research aims to analyze the topic model related to organic agriculture and entrepreneurship from bibliographic information by analyzing the abstract methods for 4,327 published articles from 1946 to 2023 in the Scopus database by using the Latent Dirichlet Allocation (LDA) topic modeling method. The study results, in this study, indicated that the five different topics were as follows: 1) Soil for organic agriculture, 2) Environment and Organic agriculture, 3) Agriculture Business, 4) Organic production, and 5) The Use of organic substances. This study contained a connection value of 0.419, which indicated that the topic modeling was at the appropriate measurement for grouping model topics. Therefore, the topics modeling in this study would help the farmers to notice the ideas related to organic farming and entrepreneurship from the past and assist the researcher in applying the research topics and modeling for future research.