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Four decades of research on quality: summarising, Trendspotting and looking ahead
Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering.ORCID iD: 0000-0002-8839-2816
Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering.ORCID iD: 0000-0001-7621-2649
2019 (English)In: Total quality management and business excellence (Online), ISSN 1478-3363, E-ISSN 1478-3371Article in journal (Refereed) Epub ahead of print
Abstract [en]

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: Service Quality & Customer Satisfaction; Process design & Control; ISO Certification & Standards; TQM - Implementation, Performance & Culture; QM - Practices & Performance; Reliability, Costs, Failure & Problems and Excellence - BEMs, Quality Awards & Excellence in Higher Education. The results also show that the total number of entries has risen constantly since 1980; however, there was a period of decline between 2000 and 2012, indicating that after almost four decades, research on quality is still vibrant and relevant.

Place, publisher, year, edition, pages
2019.
Keywords [en]
QM, quality management, TQM, total quality management, service quality, quality movement, text mining, big data
National Category
Reliability and Maintenance
Identifiers
URN: urn:nbn:se:miun:diva-37119DOI: 10.1080/14783363.2019.1655397ISI: 000482357000001OAI: oai:DiVA.org:miun-37119DiVA, id: diva2:1348700
Available from: 2019-09-05 Created: 2019-09-05 Last updated: 2019-09-05Bibliographically approved

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Carnerud, DanielBäckström, Ingela

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