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Authors
Abstract(s)
Este estudo pretende investigar a relação entre Marketing e InteligĂȘncia Artificial
no setor agroalimentar. De forma a consolidar o estado de pesquisa académica na årea
do Marketing e InteligĂȘncia artificial no setor agroalimentar, a opção metodolĂłgica
assentou na elaboração de uma anĂĄlise bibliomĂ©trica com recurso Ă tĂ©cnica de coocorrĂȘncia de termos. A analise incidiu sobre 60 artigos da base de dados da Web of
Science. Os resultados da anålise bibliométrica permitiram identificar dois clusters:
TĂ©cnicas de InteligĂȘncia Artificial e qualidade, e Valor do produto e InteligĂȘncia
Artificial. TambĂ©m foi efetuado um estudo empĂrico quantitativo, de forma a examinar
como a utilização de tecnologias de IA pelo departamento de marketing se relacionam
com outros departamentos das empresas agroalimentares na UniĂŁo Europeia.
This study aims to investigate the relationship between Marketing and Artificial Intelligence in the agri-food sector. In order to consolidate the state of academic research in the area of Marketing and Artificial Intelligence in the agro-food sector, the methodological option was based on the elaboration of a bibliometric analysis using the term co-occurrence technique. The analysis focused on 60 articles from the Web of Science database. The results of the bibliometric analysis made it possible to identify two clusters: Artificial Intelligence Techniques and quality, and Product Value and Artificial Intelligence. A quantitative empirical study was also carried out in order to examine how the use of AI technologies by the marketing department relates to other departments of agri-food companies in the European Union.
This study aims to investigate the relationship between Marketing and Artificial Intelligence in the agri-food sector. In order to consolidate the state of academic research in the area of Marketing and Artificial Intelligence in the agro-food sector, the methodological option was based on the elaboration of a bibliometric analysis using the term co-occurrence technique. The analysis focused on 60 articles from the Web of Science database. The results of the bibliometric analysis made it possible to identify two clusters: Artificial Intelligence Techniques and quality, and Product Value and Artificial Intelligence. A quantitative empirical study was also carried out in order to examine how the use of AI technologies by the marketing department relates to other departments of agri-food companies in the European Union.
Description
Keywords
Agro-Alimentar Bibliometria Correlação InteligĂȘncia Artificial Marketing