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Purpose This paper aims to identify and analyze the agtech classification and categorization systems in the Brazilian context. Design/methodology/approach The systematic literature review (SLR) was carried out according to the protocol of Kitchenham and Charters (2007). The classification systems found in literature were evaluated using the thinking aloud protocol, as proposed by Ericsson and Simon (1993). The responses obtained were evaluated through lexicographic analysis, described by Bécue-Bertaut (2019) and content analysis, described by Bardin (2011). Findings SLR identified four agtech classification systems. The model proposed by Dias, Jardim, and Sakuda (2019) was the one with the highest adherence to classify Brazilian agtechs. From the analysis of the systems found in literature, the authors proposed a new categorization model of agricultural startups (agtechs). Research limitations/implications The study has limitations in relation to the theoretical and empirical validation of the model proposed by the authors. This limitation can be the subject of subsequent research. Practical implications The SLR study considers the evolution of the classification systems of a new agribusiness reality, the agtechs. In addition, there is a practical contribution in proposing a new classification system that attempts to address some of the limitations found in previous studies. Originality/value Agtechs are startups focused on developing solutions for agriculture and have shown a significant increase in recent years. However, there are few studies focused on this type of company. Even rarer are the studies that seek to classify and categorize them. The present work opens the horizon for future studies focused on this new reality.

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PurposeThe study aimsto analyze the main elements associated with the evolution of Brazilian agtechs from the initial conception of the business model to becoming companies in the scale-up stage.Design/methodology/approachThe exploratory research was conducted based on data collected through in-depth interviews. The answers were analyzed quantitatively using descending hierarchical classification (DHC) and correspondence factor analysis (CFA) and qualitatively using content analysis.FindingsFive main elements were identified as responsible for the evolution of the companies up to their entering the scale-up phase: (1) governance, (2) decisions inherent to resource allocation, (3) monitoring of strategic, tactical and operational activities, (4) fostering human capital development and (5) business model validation. Each element presents a set of performance indicators that show the scalability of these companies.Practical implicationsThe model developed can help companies that have not yet advanced from the conception of the business model to the scalability of different sectors, in addition to agribusiness.Social implicationsProposal of a model that presents the main elements that impact on scalability and respective indicators that contributed to the scalability process of Brazilian agtechs.Originality/valueThis study contributed to advancing the knowledge on the organizational life cycle (OLC) of agricultural startups, particularly regarding the factors responsible for their scalability.

Um dos desafios da academia tem sido reunir e disseminar informações sobre as modificações nos sistemas agrícolas e as tendências que podem proporcionar maiores ganhos de eficiência para os produtores agrícolas. Assim, o objetivo deste artigo foi realizar um estudo bibliométrico para analisar a evolução dos sistemas agrícolas no que diz respeito ao emprego de novas técnicas, serviços e modelos de negócio. O protocolo utilizado para o desenvolvimento do estudo bibliométrico foi proposto por Zupic e Cater (2015). Os dados foram obtidos no banco de dados da Web of Science (1973-2021) e analisados no software estatístico R, utilizando o pacote Bibliometrix. Os resultados apresentaram: (1) a evolução dos trabalhos nessa área no decorrer deste período, trazendo os principais marcos temporais da literatura; (2) a estrutura intelectual produzida; (3) os pesquisadores centrais e periféricos ou intermediários neste campo; e (4) a difusão dos novos conceitos criados por meio de dois principais atores: países e universidades. A contribuição teórica central desse estudo foi aprofundar o conhecimento sobre a evolução das pesquisas sobre sistemas agrícolas e modelos de negócio atrelados a eles. Como contribuição prática, este artigo agrupou os principais estudos, autores, estrutura intelectual e difusão dos conceitos envolvidos nessa área.