The objective was to identify the factors and approaches present in the scientific production on entrepreneurial intention (IE). Therefore, the database Web of Science served as a reference for the selection, collection, analysis, and systematization of the 59 scientific articles selected from January 2013 to January 2016. The design was quantitative and descriptive. It was adopted the bibliometric technique for analysis of the citations, and the software Bibexcel to generate a matrix of quotes. This matrix, in turn, was analyzed using the Statistical Package for Social Sciences (SPSS) and the exploratory factor analysis (EFA). The factors that emerged from the factor analysis were seven: Entrepreneurship; Cultural Influence and Personal Factors; Entrepreneurial Education and Influencing Variables; Development of Entrepreneurial Intention; Entrepreneurial Risks, Conceptual Tools, and Enterprising Women. The approaches, in turn, were 17, corresponding to the specificities of the factors of the articles analyzed. These approaches indicated the essence of the articles analyzed, enabling the sorting and systematization of what has been approached in the literature on EI. It was possible to highlight the approaches relative to the Entrepreneurship, Cultural Influence and Personal Factors, Entrepreneurial Education and Entrepreneurial Women. There was a connectivity between the authors, the factors, and the permanent approaches to the literature on EI. The contribution of this research expands and complements the overview that has been recently made about the literature published at EI in the individual level.
Keywords
This article aims to identify the main aspects discussed by scholars regarding business model components. The methodology used was a bibliometric study, based on the Law of Zipf, whose keywords form “Business model” and “components”. Data were collected from the Capes scientific journals database from 2009 to 2014 and from the Web of Science database. The extracted articles underwent descriptive analysis and the data extracted from the Web of Science were processed through Bibexcel Software, in which it was possible to generate a citation matrix that was managed by the Ucinet64 software, generating a list of authors by importance according to the number of citations and their respective relations of co-citations. The results allowed to identify the main research streams about business model components addressed by the scholars, highlighting value proposition, clients, infrastructure, resources, revenue model and costs.
Objetivo: Mapear os Níveis de Maturidade Organizacional em uso de Inteligência Competitiva (IC) nas 500 maiores empresas sediadas no Brasil, tendo como parâmetro a classificação proposta no Modelo de Rodrigues e Riccardi (2007).
Metodologia: As empresas selecionadas para esta pesquisa são as eleitas pela Revista Exame como Maiores e Melhores, no ano de 2016. Para a caracterização da presença de Inteligência Competitiva nas empresas, utilizou-se, da estatística descritiva, tendo como instrumento de coleta de dados, o questionário desenvolvido pela Puzzle.
Originalidade: O reconhecimento da literatura especializada acerca da criticidade dos sistemas de IC para o sucesso dos negócios reconhece, se não uma dicotomia (importância versus inexploração temática), pelo menos um claro vazio na exploração deste tema, o que constitui uma lacuna científica que passa a ser objeto desta pesquisa.
Resultados: Os principais resultados indicam que a IC evoluiu da quase informalidade para níveis superiores de maturidade, evidenciados pela expansão de suas atividades funcionais, maior abrangência institucional e maior formalização de seus procedimentos.
Contribuições teóricas/metodológicas: Isto permite concluir que a IC tem aumentado seu nível de maturidade em uso nas empresas pesquisadas, já atingindo os níveis 3 e 4 de maturidade. A maior formalização de seus processos e a extensão de seu alcance lhe dão amplitude institucional e um papel corporativamente mais útil e competitivamente mais estratégico.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.