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A global database for conducting systematic reviews and meta-analyses in innovation and quality management

Innovation and quality management are two fundamental business orientations that complement each other in improving performance and are important drivers of long-term economic growth. These themes have generated widespread attention in the literature; however, most of these studies mainly focused on...

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Detalles Bibliográficos
Autores principales: Csizmadia, Tibor, Katona, Attila Imre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198074/
http://dx.doi.org/10.1038/s41597-022-01427-x
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author Csizmadia, Tibor
Katona, Attila Imre
author_facet Csizmadia, Tibor
Katona, Attila Imre
author_sort Csizmadia, Tibor
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description Innovation and quality management are two fundamental business orientations that complement each other in improving performance and are important drivers of long-term economic growth. These themes have generated widespread attention in the literature; however, most of these studies mainly focused on a narrow area and only in a short term. No systematic effort has been made to build an extended bibliometric database regarding these research areas, which can be immediately used to conduct literature reviews. This study presents a complete (from 1975–2021), up-to-date, preprocessed and geocoded bibliometric database combining published articles of the two themes. The data collection was performed following the PRISMA methodology. The database consists of seven data tables, including one core dataset with 59,231 records and six citation network-related tables, including latitude and longitude values of the affiliations. These data will benefit researchers conducting comparative and in-depth analyses, such as gaining an overview of relevant existing studies, identifying relevant trends and gaining opportunities for a variety of geographic analyses.
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spelling pubmed-91980742022-06-16 A global database for conducting systematic reviews and meta-analyses in innovation and quality management Csizmadia, Tibor Katona, Attila Imre Sci Data Data Descriptor Innovation and quality management are two fundamental business orientations that complement each other in improving performance and are important drivers of long-term economic growth. These themes have generated widespread attention in the literature; however, most of these studies mainly focused on a narrow area and only in a short term. No systematic effort has been made to build an extended bibliometric database regarding these research areas, which can be immediately used to conduct literature reviews. This study presents a complete (from 1975–2021), up-to-date, preprocessed and geocoded bibliometric database combining published articles of the two themes. The data collection was performed following the PRISMA methodology. The database consists of seven data tables, including one core dataset with 59,231 records and six citation network-related tables, including latitude and longitude values of the affiliations. These data will benefit researchers conducting comparative and in-depth analyses, such as gaining an overview of relevant existing studies, identifying relevant trends and gaining opportunities for a variety of geographic analyses. Nature Publishing Group UK 2022-06-14 /pmc/articles/PMC9198074/ http://dx.doi.org/10.1038/s41597-022-01427-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Csizmadia, Tibor
Katona, Attila Imre
A global database for conducting systematic reviews and meta-analyses in innovation and quality management
title A global database for conducting systematic reviews and meta-analyses in innovation and quality management
title_full A global database for conducting systematic reviews and meta-analyses in innovation and quality management
title_fullStr A global database for conducting systematic reviews and meta-analyses in innovation and quality management
title_full_unstemmed A global database for conducting systematic reviews and meta-analyses in innovation and quality management
title_short A global database for conducting systematic reviews and meta-analyses in innovation and quality management
title_sort global database for conducting systematic reviews and meta-analyses in innovation and quality management
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198074/
http://dx.doi.org/10.1038/s41597-022-01427-x
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