Purpose-The purpose of this paper is to explore and describe how research on quality management (QM) has evolved historically. The study includes the complete digital archive of three academic journals in the field of QM. Thereby, a unique depiction of how the general outlines of the field as well as trends in research topics have evolved through the years is presented. Design/methodology/approach-The study applies cluster and probabilistic topic modeling to unstructured data from The International Journal of Quality & Reliability Management, The TQM Journal and Total Quality Management & Business Excellence. In addition, trend analysis using support vector machine is performed. Findings-The study identifies six central, perpetual themes of QM research: control, costs, reliability and failure; service quality; TQMimplementation and performance; ISOcertification, standards and systems; Innovation, practices and learning and customersresearch and product design. Additionally, historical surges and shifts in research focus are recognized in the study. From these trends, a decrease in interest in TQM and control of quality, costs and processes in favor of service quality, customer satisfaction, Six Sigma, Lean and innovation can be noted during the past decade. The results validate previous findings. Originality/value-Of the identified central themes, innovation, practices and learning appears not to have been documented as a fundamental part of QM research in previous studies. Thus, this theme can be regarded as a new perspective on QM research and thereby on QM.
Purpose The purpose of this paper is to depict how Kaizen and continuous improvement (CI) are represented in scientific journals focusing on quality management (QM) from the 1980s until 2017. Additionally, the study aims to examine how Kaizen is studied and described and how the relationship between Kaizen and CI is portrayed. Design/methodology/approach The study applies a mixed methods approach to search for tendencies and outlines concerning Kaizen and CI in four scientific journals focusing on QM and two focusing on OM. The data set contains entries from 1980 until 2017, which makes it possible to depict how Kaizen has evolved over more than 30 years. Findings The findings show that Kaizen and CI attained special interest in the mid-1990s, after which interest appears to have decreased. However, the findings imply that a regenerated interest for the areas spiked post 2010. In addition, the results indicate that Kaizen is on the one hand accepted by one part of the management community but on the other hand completely ignored by the rest. Finally, the data illuminate a need to strengthen and clarify Kaizen’s theoretical basis and its relationship to CI. Practical implications If an aspiration exists to increase the success rate of Kaizen implementation, the results from the study highlight the need to address and clarify epistemological, terminological and theoretical issues. Originality/value Prior data mining studies pinpointing how Kaizen and CI have evolved over the last 30 years appear not to exist.
The aim of this study is to explore whether trends in sustainability and digitalisation from the 1980s until today have left any significant practical or epistemological footprints on the quality management paradigm. The study design consists of a mixed-methods approach that applies a data-mining methodology and content analysis to the digital archives of eight scientific journals: six within the quality management (QM) domain and two with a focus on operations management (OM). The data set contains an unbroken time series of over 12,000 research paper abstracts, the first of them published in 1980, giving the study a coverage of almost 40 years. The findings show that sustainability came onto the scholarly scene in 1996 and has since become an increasingly popular research area. In regard to digitalisation, the story is quite different, as the concept is currently absent from the scholarly QM and OM literatures. However, a search for information technology (IT) and information systems (IS) revealed that these topics have been gaining attention since the 1980s. However, it was found that QM research only addresses one part of digitalisation, omitting several interesting dimensions. One example is that the QM and OM literatures address IS mainly in relation to standardised guidelines and business processes within organisations. At the same time, we found a handful of studies combining QM and topics related to modern digitisation, like social media.
The purpose of this paper is to identify and depict the key areas around which research on quality has orbited during the past 37 years. Additionally, this paper aims to explore longitudinal patterns and trends in the identified key areas. Thereby, this study aims to present new perspectives on the foundational elements and evolutionary patterns of research on quality as well as future directions. The paper applies data-and text modelling methodology to a chronological dataset covering 37 years and consisting of scientific journals specialising in research on quality; it also includes scientific journals with a broader spectrum of operations management (OM) research. The study identifies seven central topics around which research on quality has centred during this time period:
Purpose-The purpose of this paper is to explore and describe research presented in the International Journal of Quality & Reliability Management (IJQRM), thereby creating an increased understanding of how the areas of research have evolved through the years. An additional purpose is to show how text mining methodology can be used as a tool for exploration and description of research publications. Design/methodology/approach-The study applies text mining methodologies to explore and describe the digital library of IJQRM from 1984 up to 2014. To structure and condense the data, k-means clustering and probabilistic topic modeling with latent Dirichlet allocation is applied. The data set consists of research paper abstracts. Findings-The results support the suggestion of the occurrence of trends, fads and fashion in research publications. Research on quality function deployment (QFD) and reliability management are noted to be on the downturn whereas research on Six Sigma with a focus on lean, innovation, performance and improvement on the rise. Furthermore, the study confirms IJQRM as a scientific journal with quality and reliability management as primary areas of coverage, accompanied by specific topics such as total quality management, service quality, process management, ISO, QFD and Six Sigma. The study also gives an insight into how text mining can be used as a way to efficiently explore and describe large quantities of research paper abstracts. Research limitations/implications-The study focuses on abstracts of research papers, thus topics and categories that could be identified via other journal publications, such as book reviews; general reviews; secondary articles; editorials; guest editorials; awards for excellence (notifications); introductions or summaries from conferences; notes from the publisher; and articles without an abstract, are excluded. Originality/value-There do not seem to be any prior text mining studies that apply cluster modeling and probabilistic topic modeling to research article abstracts in the IJQRM. This study therefore offers a unique perspective on the journal's content.
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