Academic research published in the management & production journal (G&P, 1999-2010): Trends and future research directions A produção acadêmica publicada na revista Gestão & Produção de 1999 a 2010: Tendências e direções para pesquisas futuras

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2
Tipo de produção
Artigo de revisão
Data
2012-01-05
Autores
BORTOLLOSSI, L. N.
Mauro Sampaio
Orientador
Periódico
Gestao e Producao
Título da Revista
ISSN da Revista
Título de Volume
Citação
BORTOLLOSSI, L. N.; SAMPAIO, M. Academic research published in the management & production journal (G&P, 1999-2010): Trends and future research directions A produção acadêmica publicada na revista Gestão & Produção de 1999 a 2010: Tendências e direções para pesquisas futuras. Gestao e Producao, v. 19, n. 1, p. 189-201, 2012.
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Resumo
This study is a review and evaluation of studies published in a Brazilian journal of management & production (G&P) from 1999 to 2010 in order to investigate the diversity of articles in terms of the purposes of research, data collection approaches, and data analysis techniques. The research articles were classified based on their primary purpose (theory building, application, and concepts), data collection approach (case study, qualitative research, archival research, survey-based research, laboratory research, and field research), data analysis technique (descriptive statistics, various multivariate statistical techniques, and mathematical modeling), and operations topics (strategy, quality, and supply chain management). The numbers of articles published increased substantially between 1999 to 2010. The focus of the articles on the manufacturing industry published in this journal changed considerably, and more recently the gap between the number of manufacturing and service-focused articles on production and operations management (POM) has reduced. While previous articles published in the G&P journal were based on conceptual descriptions, our results indicate that the journal has published articles based on theory and application. Case study is the most widely used method for data collection. Directions for future research in operations management were also discussed.

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