Research trends in quality management in years 2000-2019

• Published in: International journal of quality and service sciences Vol. 12; no. 4; pp. 417 - 433
• Main Authors: Wawak, Sławomir, Rogala, Piotr, Dahlgaard-Park, Su Mi
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Publishing Limited 16.12.2020; Emerald Group Publishing Limited
• Subjects: Academic disciplines; Bibliometrics; Business Administration; Classification; Corporate culture; Data mining; Economics and Business; Ekonomi och näringsliv; Företagsekonomi; Identification; ISO standards; Keywords; Leadership; Literature reviews; Popularity; Quality management; Research methodology; Researchers; Samhällsvetenskap; Social Sciences; Systematic literature review; Systematic review; Text-mining; Total quality; Trends; Trends; Text-mining; Quality management; Systematic literature review
• DOI: 10.1108/IJQSS-12-2019-0133
• ISSN: 1756-669X

Purpose 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/approach A 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. Findings Trends 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 implications The 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/value The 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.