Research Trends in Quality Management in Years 2000-2019
Sławomir Wawak , Piotr Rogala , Su Mi Dahlgaard-Park
AbstractPurposeThis 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 series||International Journal of Quality and Service Sciences, ISSN 1756-669X, e-ISSN 1756-6703, (N/A 40 pkt)|
|Publication size in sheets||0.8|
|Keywords in English||Quality management, Trends, Text-Mining, Systematic Literature Review|
|Not used for evaluation||yes|
|Publication indicators||: 2018 = 0.901|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.