2021
DOI: 10.1108/tqm-07-2021-0215
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Quality 4.0 conceptualisation and theoretical understanding: a global exploratory qualitative study

Abstract: PurposeQuality 4.0 has a unique potential to create a competitive advantage for organisations by improving customer experience and enhancing profitability. The purpose of this study is to examine Quality 4.0, the9; benefits, motivating factors, critical success factors and the skills required by quality professionals in the successful implementation of Quality 4.0. The study also investigates the organisational readiness factors9 and challenges that need to be addressed before Quality 4.0 adoption and assess t… Show more

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Cited by 66 publications
(106 citation statements)
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“…Most of the studies focus on Industry 4.0 as it is a bit older concept than Quality 4.0. The studies that focus on Quality 4.0 absolutely are like, Emblemsvåg (2020), which explored Quality 4.0 in project-based industries, Antony et al. (2021) conceptualised Quality 4.0 and theoretical underpinnings through a qualitative approach globally, Carvalho et al.…”
Section: Theoretical Orientationmentioning
confidence: 99%
See 1 more Smart Citation
“…Most of the studies focus on Industry 4.0 as it is a bit older concept than Quality 4.0. The studies that focus on Quality 4.0 absolutely are like, Emblemsvåg (2020), which explored Quality 4.0 in project-based industries, Antony et al. (2021) conceptualised Quality 4.0 and theoretical underpinnings through a qualitative approach globally, Carvalho et al.…”
Section: Theoretical Orientationmentioning
confidence: 99%
“…The IR influences strategic variations in productivity and quality (Antony et al. , 2021a, b; Sony et al.…”
Section: Introductionmentioning
confidence: 99%
“…Six Sigma and Cross Industry Standard Process for Data Mining (CRISP-DM) were found to be the most suitable methodologies, and key elements of these were combined to develop the HyDAPI methodology. The CRISP-DM data-mining process was used because data science, statistical analysis and predictive analytics are critical in this new era of quality management, referred to as Quality 4.0 (Antony et al, 2021). In our previous research, Six Sigma was determined to be the most suitable quality improvement methodology, as it focuses on the reduction of defects, and the manufacturing process being digitised had a level of scrap periodically exceeding expectations (Clancy et al, 2021).…”
Section: Previous Researchmentioning
confidence: 99%
“…However, undertaking this digital transformation in practice is proving challenging for many companies. For instance, Antony et al (2021) interviewed a number of senior managers in leading organisations which revealed that they do not know where or how to start in merging with the digital world (Antony et al, 2021). In an effort to address this uncertainty, this study proposes that digitalisation is first implemented to act as a foundation for Industry 4.0 via the hybrid digitisation approach to process improvement (HyDAPI) framework.…”
mentioning
confidence: 99%
“…Machines self-report to maintenance personnel (or robots) and precisely define the problem (Pech et al, 2021). Quality 4.0 can be understood as a combination of new technologies, standard tools, and traditional methods to achieve superior performance, higher operational efficiency and higher quality, excellence and innovation (Antony et al, 2021). A quality management system (QMS) should focus on maintaining a complete and comprehensive product design stored in a single system.…”
Section: Introductionmentioning
confidence: 99%