Reference models and competitiveness: an empirical test of the management excellence model (MEG) in Brazilian companies

dc.creatorMarcio Bambirrasantos
dc.creatorPlínio Rafael Reis Monteiro
dc.creatorMárcio Augusto Gonçalves
dc.creatorRonaldo Darwich Camilo
dc.date.accessioned2022-06-14T16:17:36Z
dc.date.accessioned2025-09-09T01:25:21Z
dc.date.available2022-06-14T16:17:36Z
dc.date.issued2016
dc.identifier.doi10.1080/14783363.2016.1188656
dc.identifier.issn14783363
dc.identifier.urihttps://hdl.handle.net/1843/42511
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofTotal Quality Management & Business Excellence
dc.rightsAcesso Restrito
dc.subjectAdministração de empresas
dc.subject.otherReference models
dc.subject.otherPerformance
dc.subject.otherQuality management
dc.subject.otherBusiness excellence
dc.titleReference models and competitiveness: an empirical test of the management excellence model (MEG) in Brazilian companies
dc.typeArtigo de periódico
local.citation.epage364
local.citation.issue3-4
local.citation.spage346
local.citation.volume29
local.description.resumoThis study analyses how robust the management excellence model (MEG) is as a guide for implementing best practices from different reference models to achieve greater quality and excellence in management. The study starts by discussing the model's assumptions and purposes and how it has been applied to a diverse and large group of Brazilian companies with the expectation of improving business performance. The study is based on 389 independent assessments of 8 MEG criteria in 52 Brazilian companies participating in the Minas Quality Award (PMQ) in the State of Minas Gerais, Brazil, between the 2008-and-2011 cycle. From a theoretical background, 13 proposed hypotheses were tested using the structural equation model (SEM) with a partial least squares (PLS) estimation. Empirical tests support the conceptual framework of MEG, positioning leadership and information management as forces that lead to the strategic management of people, markets, processes, and societal concerns, which in turn are strong predictors of business performance.
local.publisher.countryBrasil
local.publisher.departmentFCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS
local.publisher.initialsUFMG
local.url.externadoi:10.1080/14783363.2016.1188656

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