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Explaining poverty and business with network concepts analysis
Author(s) -
Semprebon Elder,
Porsse Melody de Campos Soares,
Gurak Elis Cristina,
Dameto Flavia
Publication year - 2020
Publication title -
business and society review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.524
H-Index - 21
eISSN - 1467-8594
pISSN - 0045-3609
DOI - 10.1111/basr.12199
Subject(s) - poverty , government (linguistics) , phenomenon , theme (computing) , field (mathematics) , scopus , social network analysis , business networking , sociology , economics , business , economic growth , marketing , social science , political science , business model , electronic business , computer science , social capital , philosophy , mathematics , medline , law , linguistics , operating system , quantum mechanics , physics , pure mathematics
Poverty observed from business in the academic field has evolved in some publications and is characterized as a multidimensional phenomenon, having several theoretical strands that add their attention to this problem. The objective of this study is to identify and cluster the variables of poverty in the business area through the network analysis. There were 1,745 keywords mentioned in 566 papers about the theme present in the Scopus database between 2000 and 2016. The results demonstrate a network with four clusters: (a) Economy, government and people; (b) Community, institutions and market; (c) Business and environment; and (d) Social aspects and finance. From the network, it is possible to understand the most cited categories of variables (research methodology and business aspects), the most consolidated relations between categories of variables (poverty and economic aspects), the most studied area (Economy, government and people), and the gaps to be explored.