Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Research trends in quality management in years 2000-2019

Research trends in quality management in years 2000-2019 This study aims to demonstrate the suitability of text-mining toolset for the discovery of trends in quality management (QM) literature in 2000-2019. The hypothesis was formulated that as the field of study is mature, the most important trends are related to deepening and broadening of the knowledge.Design/methodology/approachA novel approach to trend discovery was proposed. The computer-aided analysis of full-texts of papers led to increased reliability and level of detail of the achieved results and helped significantly reduce researchers’ bias. Overall, 4,833 papers from 8 journal dedicated to QM were analysed.FindingsTrends discovery led to the identification of 45 trends: 17 long-lasting trends, 4 declining trends, 11 emerging trends and 13 ephemeris trends. They were compared to the results of earlier studies. New trends and potential gaps were discussed.Practical implicationsThe results highlight the trends that gain or lose popularity, thus they can be used to focus studies, as well as find new subjects, which are not so popular yet. The knowledge about emerging trends is also important for those quality managers who strive for improvement of their efficiency.Originality/valueThe research was designed to bypass the limitations of previous studies. The use of text mining methods and analysis of full texts of papers delivered more detailed and reliable data. Resignation from predefinition of classification criteria significantly reduced researchers’ bias and allowed the discovery of new trends, not identified in previous studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality and Service Sciences Emerald Publishing

Research trends in quality management in years 2000-2019

Download PDF
17 pages

Loading next page...
 
/lp/emerald-publishing/research-trends-in-quality-management-in-years-2000-2019-RyfTluY1My

References (27)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1756-669X
DOI
10.1108/ijqss-12-2019-0133
Publisher site
See Article on Publisher Site

Abstract

This study aims to demonstrate the suitability of text-mining toolset for the discovery of trends in quality management (QM) literature in 2000-2019. The hypothesis was formulated that as the field of study is mature, the most important trends are related to deepening and broadening of the knowledge.Design/methodology/approachA novel approach to trend discovery was proposed. The computer-aided analysis of full-texts of papers led to increased reliability and level of detail of the achieved results and helped significantly reduce researchers’ bias. Overall, 4,833 papers from 8 journal dedicated to QM were analysed.FindingsTrends discovery led to the identification of 45 trends: 17 long-lasting trends, 4 declining trends, 11 emerging trends and 13 ephemeris trends. They were compared to the results of earlier studies. New trends and potential gaps were discussed.Practical implicationsThe results highlight the trends that gain or lose popularity, thus they can be used to focus studies, as well as find new subjects, which are not so popular yet. The knowledge about emerging trends is also important for those quality managers who strive for improvement of their efficiency.Originality/valueThe research was designed to bypass the limitations of previous studies. The use of text mining methods and analysis of full texts of papers delivered more detailed and reliable data. Resignation from predefinition of classification criteria significantly reduced researchers’ bias and allowed the discovery of new trends, not identified in previous studies.

Journal

International Journal of Quality and Service Sciences – Emerald Publishing

Published: Dec 15, 2020

Keywords: Quality management; Trends; Text-mining; Systematic literature review

There are no references for this article.