Classification and categorization of Brazilian agricultural startups (Agtechs)

• Autor(a) principal: Ramos, Paulo Henrique Bertucci
• Data de Publicação: 2021
• Outros Autores: Pedroso, Marcelo Caldeira
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista de Administração e Inovação
• Texto Completo: https://www.revistas.usp.br/rai/article/view/191592
• topic: Entrepreneurship; Agribusiness; Innovation; Startups; Agtechs

AbstractPurpose – This paper aims to identify and analyze the agtech classification and categorization systems inthe Brazilian context.Design/methodology/approach – The systematic literature review (SLR) was carried out according to theprotocol of Kitchenham and Charters (2007). The classification systems found in literature were evaluated using thethinking aloud protocol, as proposed by Ericsson and Simon (1993). The responses obtained were evaluatedthrough 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 foundin 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 empiricalvalidation 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 newagribusiness reality, the agtechs. In addition, there is a practical contribution in proposing a new classificationsystem 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 showna significant increase in recent years. However, there are few studies focused on this type of company. Evenrarer are the studies that seek to classify and categorize them. The present work opens the horizon for futurestudies focused on this new reality.