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Text Mining The Quality Paradigm(s)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering. (Kvalitetsteknik)ORCID iD: 0000-0002-8839-2816
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The purpose of this thesis orbits around an examination of the formation of a quality paradigm. In this inquiry, the exploration and application of text mining have been used to provide new insights into quality as a paradigm.

The findings reveal the existence of unifying topics, around which research on quality has clustered, constituting the foundational pillars of an academic quality paradigm. These foundational pillars are operational paradigms that embody both epistemological perspectives and operational concerns regarding quality. The three operative paradigms upon which the quality paradigm rests are the operative paradigm of back-end quality (orbiting around: QM, TQM and service quality), the operative paradigm of middle-way quality (orbiting around: ISO, BEMs and Quality Awards) and the operative paradigm of front-end quality (orbiting around: Reliability, Costs and Processes). The three operative paradigms differ in their levels of abstraction, accountability and system-learning emphasis. However, the mutual purpose and aim of the three operative paradigms, and hence the paradigm as a whole, is to continuously control, assure and develop systems affecting quality initiatives in service of the customer(s).

The findings also indicate that the operative paradigms of back-end and front-end quality seem to be specializing and drifting apart, which might lead to a division of the quality paradigm into two separate paradigms.

The studies in this thesis also confirm the existence of changes in the focus and popularity of specific topics. However, the key epistemological findings are the central and perpetual research topics that are identified – supporting the supposition that research on quality truly constitutes a delimited and recognized research paradigm.

Furthermore, the studies show that research on quality expanded during the end of the 1980s and beginning of the 1990s, after which a contraction took place, followed by stability at the start of the 21st century. Consequently, it is found that research on quality entered a stable and mature phase in the 21st century, settling down as a distinctive and established research paradigm.

Finally, it is found that the exploration and application of text mining is a potent approach when probing the epistemological foundations of an academic discipline.

Abstract [sv]

Syftet med denna avhandling var att undersöka kvalitetsparadigmets uppbyggnad och utveckling. För ändamålet har text mining utforskats och tillämpats.

Resultaten påvisar en grund av förenande ämnen kring vilka kvalitetsforskningen har cirkulerat och som tillsammans utgör grundpålar för det akademiska kvalitetsparadigmet. Dessa grundpelare är operationella paradigm som innefattar både epistemologiska liksom praktiska perspektiv gällande forskningen om kvalitet. De tre operativa paradigmen som bär upp kvalitetsparadigmet utgörs av: det operativa paradigmet av styrningskvalitet (innefattande: QM, TQM och servicekvalitet), det operativa paradigmet av medelvägskvalitet (innefattande: ISO, utmärkelsemodeller och kvalitetspris) och det operativa paradigmet av brukarkvalitet (innefattande: tillförlitlighet, kostnader och processer). De tre paradigmen skiljer sig åt gällande abstraktionsnivå, ansvar och betoning av systemlärande. Det gemensamma syftet och målsättning för paradigmen är dock att kontinuerligt kontrollera, säkra och utveckla systempåverkande kvalitetsförbättringsinitiativ till gagn för kunden.

Resultaten indikerar även att det operativa paradigmet av styrningskvalitet respektive brukarkvalitet blir allt mer specialiserade och därmed glider isär. Vilket riskerar att slita itu kvalitetsparadigmet i två separata paradigm.

Studierna bekräftar även förekomsten av förändringar i popularitet liksom fokus för vissa ämnen. Den centrala epistemologiska iakttagelsen är dock de bestående och återkommande forskningsteman som identifierats som stärker tesen att kvalitetsforskningen verkligen utgör ett avgränsat och erkänt forskningsparadigm.

Studierna visar även att kvalitetsforskningen expanderade under slutet på 1980-talet och början av 1990-talet. Därefter skedde en nedgång i forskningsaktivitet som dämpades i början av 2000-talet, varefter stabilitet och mognad infunnit sig. Vilket kan ses som en ytterligare indikator för att ämnet etablerat sig som ett distinkt och erkänt forskningsparadigm.

Slutligen visar resultaten att utforskning och tillämpning av text mining är en kraftfull metod för att undersöka de epistemologiska grunderna i en akademisk disciplin.

Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University , 2019. , p. 118
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 301
Keywords [en]
Quality Paradigm, Quality Movement, Quality Revolution, Quality Management, QM, Total Quality Management, TQM, Business Excellence, Text Mining, Data Mining
Keywords [sv]
Kvalitetsparadigm, Kvalitetsrörelsen, Kvalitetsteknik, Offensiv Kvalitetsutveckling, Text Mining, Data Mining
National Category
Reliability and Maintenance
Identifiers
URN: urn:nbn:se:miun:diva-36209ISBN: 978-91-88947-10-9 (print)OAI: oai:DiVA.org:miun-36209DiVA, id: diva2:1318275
Public defence
2019-06-14, Q221, Akademigatan 1, Östersund, 10:15 (English)
Opponent
Supervisors
Note

Vid tidpunkten för disputationen var följande delarbeten opublicerade: delarbete 5 inskickat, delarbete 6 inskickat.

At the time of the doctoral defence the following papers were unpublished: paper 5 submitted, paper 6 submitted.

Available from: 2019-05-28 Created: 2019-05-27 Last updated: 2019-05-28Bibliographically approved
List of papers
1. Exploration of text mining methodology through investigation of QMOD-ICQSS proceedings
Open this publication in new window or tab >>Exploration of text mining methodology through investigation of QMOD-ICQSS proceedings
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Purpose

The purpose of the study is to explore if and how text mining methodology can be applied to investigate and analyze large amounts of academic papers. Methodology / Approach The study uses probabilistic topic modeling as method to perform exploratory data analysis on QMOD-ICQSS proceedings.

Findings

The findings give reason for further exploration of text mining and probabilistic topic modeling as a relevant method to extract information from large amounts of academic papers. The generated topic models serve as a foundation for other researchers to conduct more detailed analysis of the QMOD-ICQSS proceedings depending on the specific area of interest. Research Limitations The study was limited to the use of one software and modeling technique, a multi-track approach would have strengthened the results.

Originality

There seems not to exist any other text mining study that has been conducted on conferenced proceedings in general nor on QMOD-ICQSS proceedings specifically. Keywords Text Mining, Probabilistic Topic Modeling, Quality Movement, Total Quality Management, QMOD-ICQSS

Paper type

Research paper

Keywords
Text Mining, Probabilistic Topic Modeling, Quality Movement, Total Quality Management, QMOD-ICQSS
National Category
Reliability and Maintenance
Identifiers
urn:nbn:se:miun:diva-24316 (URN)
Conference
QMOD-ICQSS Prague, Czech Republic, 2014 (Sep. 3-5)
Available from: 2015-02-05 Created: 2015-02-05 Last updated: 2019-05-27Bibliographically approved
2. Exploring research on quality and reliability management through text mining methodology
Open this publication in new window or tab >>Exploring research on quality and reliability management through text mining methodology
2017 (English)In: International Journal of Quality & Reliability Management, ISSN 0265-671X, E-ISSN 1758-6682, Vol. 34, no 7, p. 975-1014Article in journal (Refereed) Published
Abstract [en]

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.

Keywords
TQM, Quality management, Cluster modelling, Management fashion, Probabilistic topic modelling, Reliability management
National Category
Reliability and Maintenance
Identifiers
urn:nbn:se:miun:diva-27768 (URN)10.1108/IJQRM-03-2015-0033 (DOI)000407638800005 ()2-s2.0-85027337496 (Scopus ID)
Note

Delarbete 2 med titel Exploring research on quality and reliability management through text mining i Carneruds avhandling EXPLORING TRENDS, PATTERNS AND CHARACTERISTICS OFQUALITY MANAGEMENT THROUGH TEXT MINING

Available from: 2016-05-25 Created: 2016-05-25 Last updated: 2019-05-27Bibliographically approved
3. 25 years of quality management research – Outlines and Trends
Open this publication in new window or tab >>25 years of quality management research – Outlines and Trends
2018 (English)In: International Journal of Quality and Reliability Management, ISSN 0265-671X, Vol. 35, no 1, p. 208-231Article in journal (Refereed) Published
Abstract [en]

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; TQM – implementation and performance; ISO – certification, standards and systems; Innovation, practices and learning and customers – research 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.

Keywords
Cluster modeling, Probabilistic topic modeling, Quality management, Quality movement, Text mining, TQM
National Category
Reliability and Maintenance
Identifiers
urn:nbn:se:miun:diva-27769 (URN)10.1108/IJQRM-01-2017-0013 (DOI)000427427600011 ()2-s2.0-85039788432 (Scopus ID)
Available from: 2016-05-25 Created: 2016-05-25 Last updated: 2019-05-27Bibliographically approved
4. Kaizen and continuous improvement – trends and patterns over 30 years
Open this publication in new window or tab >>Kaizen and continuous improvement – trends and patterns over 30 years
2018 (English)In: The TQM Journal, ISSN 1754-2731, E-ISSN 1754-274X, Vol. 30, no 4, p. 371-390Article in journal (Refereed) Published
Abstract [en]

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. 

Keywords
Continuous improvement, Kaizen, Management fashion, Quality management, Text mining, TQM
National Category
Economics and Business
Identifiers
urn:nbn:se:miun:diva-34545 (URN)10.1108/TQM-03-2018-0037 (DOI)2-s2.0-85048752820 (Scopus ID)
Available from: 2018-09-27 Created: 2018-09-27 Last updated: 2019-08-30Bibliographically approved
5. Four Decades of Research on Quality: Summarizing, Trendspotting and Looking Ahead
Open this publication in new window or tab >>Four Decades of Research on Quality: Summarizing, Trendspotting and Looking Ahead
2018 (English)Conference paper (Refereed)
National Category
Reliability and Maintenance
Identifiers
urn:nbn:se:miun:diva-36214 (URN)
Conference
21st QMOD-ICQSS International Conference, Cardiff University, Wales, UK, 22-24 August 2018
Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2019-09-05Bibliographically approved
6. The quality movements three operational paradigms - A text mining venture
Open this publication in new window or tab >>The quality movements three operational paradigms - A text mining venture
(English)In: Article in journal (Refereed) Submitted
National Category
Reliability and Maintenance
Identifiers
urn:nbn:se:miun:diva-36213 (URN)
Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2019-05-27Bibliographically approved

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