4.7 Article Data Paper

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

Journal

SCIENTIFIC DATA
Volume 9, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01427-x

Keywords

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Funding

  1. Ministry for Innovation and Technology of Hungary from the National Research, Development and Innovation Fund under 2020 Thematic Excellence Programme funding scheme [TKP2020-NKA-10]
  2. New National Excellence Program of the Ministry for Innovation and Technology from the National Research, Development and Innovation Fund [UNKP-20-4]

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Innovation and quality management are fundamental business orientations that can improve performance and drive long-term economic growth. However, most studies on these topics have focused on narrow areas and short-term perspectives, lacking a systematic bibliometric database. This study presents a complete bibliometric database that can benefit researchers in conducting comparative and in-depth analyses, gaining an overview of relevant studies, identifying trends, and exploring geographic opportunities.
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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