Clustering quality management models and methods: systematic literature review and text-mining analysis approach

被引:29
|
作者
Sadeghi Moghadam, Mohammad Reza [1 ]
Safari, Hossein [1 ]
Yousefi, Narjes [2 ]
机构
[1] Univ Tehran, Fac Management Operat & Prod Management, Tehran, Iran
[2] Univ Tehran, Fac Management, Tehran, Iran
关键词
quality; quality management; quality management knowledge; quality management tools; text mining; COMPETITIVE ADVANTAGE; PERFORMANCE; IMPLEMENTATION; KNOWLEDGE; FUTURE; AWARDS; TOOLS; FIRM;
D O I
10.1080/14783363.2018.1540927
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Nowadays, the concept of quality management is a key factor in organisational success and survival. Over the past decades, a wide range of approaches has been introduced in regard to quality management. These approaches have resulted in the development of various tools, techniques, principles, and models utilised for quality management purposes. Using these management methods and models, in addition to an understanding of their outcomes, is a necessary factor to choose wisely in the development of businesses and novel ideas. The present paper overviews some of the methods and models of quality management which employ Systematic Literature Review and Text Mining. Moreover, we examine the models summarised in the papers published on Web of Science from 1900 onwards. Through this paper, we (1) review the history of quality management and its trends, (2) identify the most well-known journals in formation of quality management literature, (3) determine the value of quality management techniques, (4) cluster the quality tools, (5) map the extracted quality tools and techniques, and (5) interpret implementations effects studied by the scholars.
引用
收藏
页码:241 / 264
页数:24
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