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.

中文翻译：

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2000-2019年质量管理研究趋势

目的：本研究旨在证明文本挖掘工具集对于发现2000-2019年质量管理（QM）文献趋势的适用性。提出的假设是，随着研究领域的成熟，最重要的趋势与知识的深化和拓宽有关。设计/方法/方法：提出了一种新颖的趋势发现方法。通过计算机辅助对论文全文进行分析，可以提高结果的可靠性和详细程度，并有助于显着减少研究人员的偏见。总体上，分析了来自8个致力于质量管理的期刊的4,833篇论文。结果：趋势发现导致识别出45种趋势：17种持久趋势，4种下降趋势，11种新兴趋势和13个星历趋势。将它们与早期研究的结果进行了比较。讨论了新趋势和潜在差距。实际意义：研究结果突出了获得或失去流行的趋势，因此可以将其用于重点研究以及寻找尚未流行的新主题。对于那些努力提高效率的质量经理来说，对新兴趋势的了解也很重要。原创性/价值：该研究旨在绕过先前研究的局限性。使用文本挖掘方法和论文全文分析可提供更详细和可靠的数据。放弃对分类标准的预先定义大大降低了研究人员的偏见，并允许发现以前的研究中未发现的新趋势。因此，它们可以用于重点研究以及寻找尚未流行的新主题。对于那些努力提高效率的质量经理来说，对新兴趋势的了解也很重要。原创性/价值：该研究旨在绕过先前研究的局限性。使用文本挖掘方法和论文全文分析可提供更详细和可靠的数据。放弃对分类标准的预先定义大大降低了研究人员的偏见，并允许发现以前的研究中未发现的新趋势。因此，它们可以用于重点研究以及寻找尚未流行的新主题。对于那些努力提高效率的质量经理来说，对新兴趋势的了解也很重要。原创性/价值：该研究旨在绕过先前研究的局限性。使用文本挖掘方法和论文全文分析可提供更详细和可靠的数据。放弃对分类标准的预先定义大大降低了研究人员的偏见，并允许发现以前的研究中未发现的新趋势。该研究旨在绕过先前研究的局限性。使用文本挖掘方法和论文全文分析可提供更详细和可靠的数据。放弃对分类标准的预先定义大大降低了研究人员的偏见，并允许发现以前的研究中未发现的新趋势。该研究旨在绕过先前研究的局限性。使用文本挖掘方法和论文全文分析可提供更详细和可靠的数据。放弃对分类标准的预先定义大大降低了研究人员的偏见，并允许发现以前的研究中未发现的新趋势。