Logomarca do periódico: BAR - Brazilian Administration Review

Open-access BAR - Brazilian Administration Review

Publication of: ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração
Area: Ciências Sociais Aplicadas
ISSN online version: 1807-7692
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Table of contents

BAR - Brazilian Administration Review, Volume: 23, Issue: 3, Published: 2026

BAR - Brazilian Administration Review, Volume: 23, Issue: 3, Published: 2026

Document list
Documents
Interview
The Return of Meaning and Values: A Conversation with Roy Suddaby on Institutional Theory, History, and Change Suddaby, Roy Carvalho, Patricia Ayumi Hodge Viana de Barboza, Renata Andreoni

Abstract in English:

ABSTRACT This interview presents Professor Roy Suddaby’s reflections on history, values, and the future of institutional theory. He discusses the evolution of institutional work, the use of historical analysis, and the renewed attention to meaning and values in the study of institutions. The conversation addresses the challenges of theoretical dominance, the emergence of new ideas, and the role of collective memory in understanding institutional continuity and change.
Thinking Outside the Box
Structural Equation Modeling: Is it Still Worth Learning? Bido, Diógenes de Souza Souza, Cesar Alexandre

Abstract in English:

ABSTRACT Objective: this article aims to exemplify critical reading, rereading, and estimation of an alternative model using the summary data and covariance-based structural equation modeling (CB-SEM). Methods: we selected an article from a highly ranked journal that confirmed the importance of three out of eight antecedents of team performance. We then reanalyzed the article in three steps. Results: in step 1, we identified relationships that were not tested, or that were not significant, possibly due to multicollinearity (VIF > 3). In step 2, the correlation matrix indicated a discriminant validity issue and values that should have confirmed all hypotheses. In step 3, an alternative model was tested using CB-SEM and confirmed all hypotheses, with one of them as an indirect effect. Conclusions: structural equation modeling (SEM) is not just a statistical method for analyzing covariance structures. It is also a way of thinking about research and theory-building that involves abstract concepts and the imagination of ways to operationalize these constructs so that empirical research becomes possible.
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E-mail: bar@anpad.org.br
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