Quality 4.0 and its impact on organizational performance: an integrative viewpoint

Antony, Jiju; Sony, Michael; Furterer, Sandra L.; McDermott, Olivia; Pepper, Matthew

doi:10.1108/tqm-08-2021-0242

Cited by 40 publications

(44 citation statements)

References 64 publications

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“…"Quality 4.0" is the term (coined by LNS Research) that describes the future of QM within the context of I4.0 (Radziwill, 2018). Current Quality 4.0 literature is about implementation frameworks for leveraging I4.0 benefits in quality engineering and management (Zonnenshain and Kenett, 2020); skills, culture and resource requirements of Quality 4.0; and applications of I4.0 technologies in quality assurance and control activities (Alavian et al, 2020;Antony et al, 2021b). While this body of literature is still evolving, it is disconnected, and a structured understanding of this research is absent.…”

Section: Introductionmentioning

confidence: 99%

“…Current Quality 4.0 literature is about implementation frameworks for leveraging I4.0 benefits in quality engineering and management (Zonnenshain and Kenett, 2020); skills, culture and resource requirements of Quality 4.0; and applications of I4.0 technologies in quality assurance and control activities (Alavian et al. , 2020; Antony et al. , 2021b).…”

Section: Introductionmentioning

confidence: 99%

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Quality management in industry 4.0 environment: a morphological analysis and research agenda

Prashar

2022

IJQRM

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PurposeDigitalised and interconnected production systems in the era of fourth industrial revolution or Industry 4.0 (I4.0) have triggered the need of reshaping the traditional Quality Management (QM) models and roles of quality professionals. The purpose of this paper is to review the body of literature on QM in the I4.0 environment (also termed as “Quality 4.0”) and identify future research possibilities.Design/methodology/approachThe morphological analysis (MA) framework is used to identify research gaps in a systematic manner. We present the MA framework based on a literature review of 51 papers on the Australian Business Deans Council (ABDC) list identified using systematic review protocol.FindingsThe MA framework, built on six relevant dimensions, namely, production and operations function, scope of QM activities, enabling technologies, latent capabilities of digitalisation, performance metrics and QM principles, and 41 associated variants, reveals 367 research gaps as an upper bound of opportunities for future research.Originality/valueThis paper is possibly the first to use MA for reviewing the QM literature, presenting important contributions. The MA framework acts as a ready reckoner on the QM in I4.0 literature. It documents research gaps through the construction of a cross-consistency matrix.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quality management in industry 4.0 environment: a morphological analysis and research agenda

Prashar

2022

IJQRM

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“…This new concept of quality emphasises the importance of incorporating technological innovations and data-driven solutions into quality management (Zonnenshain and Kenett, 2020). In fact, research suggests that implementing Quality 4.0 can have a positive impact on several organisational metrics, including the ones related to financial performance (Antony et al. , 2021b).…”

Section: Literature Reviewmentioning

confidence: 99%

Quality 4.0: big data analytics to explore service quality attributes and their relation to user sentiment in Airbnb reviews

Amat-Lefort

Barravecchia²,

Mastrogiacomo³

2022

IJQRM

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PurposeQuality 4.0 is a new paradigm of quality management, which emphasises the need to adapt to recent technological innovations by updating traditional quality approaches. Amongst the most important factors for adopting Quality 4.0 is the leveraging of big data to collect insights and quality perceptions from clients. Therefore, user reviews have emerged as a valuable source of information, which can be analysed through machine learning procedures to uncover latent quality dimensions.Design/methodology/approachThis study applies a combination of text mining techniques to analyse Airbnb reviews, identifying service quality attributes and assessing their relation to the users' sentiment. More than two million reviews written by guests in four European cities are analysed. First, topic modelling is applied to find the quality attributes mentioned by reviewers. Then, sentiment analysis is used to assess the positiveness/negativeness of the users' feedback.FindingsA total of 37 quality attributes are identified. Four of them show a significant positive relation to the guest's sentiment: apartment views, host tips and advice, location and host friendliness. On the other hand, the following attributes are negatively correlated with user sentiment: sleep disturbance, website responsiveness, thermal management and hygiene issues.Originality/valueThis paper provides a practical example of how Quality 4.0 can be implemented, proposing a data-driven methodology to extract service quality attributes from user-generated content. Additionally, several attributes that had not appeared in existing Airbnb studies are identified, which can serve as a reference to extend previous quality assessment scales.

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“…Javaid et al (2021) argued that social media, artificial intelligence, machine learning and virtual reality, among others, can be used to help with training and capacity building in the firm. Antony et al (2022) highlighted that implementing Quality 4.0 would necessitate continual training and retraining of staff to pose a social problem. Furthermore, the societal consequences of Quality 4.0 will transform society into a knowledge-based society so that as repetitive operations are automated, a higher level of expertise will be required of quality specialists.…”

Section: Technology-driven Employee Involvement and Empowermentmentioning

confidence: 99%

Developing a Quality 4.0 Maturity Index for Improved Business Operational Efficiency and Performance

Mtotywa

2022

QIP Journal

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Purpose: Technological advances and increased environmental turbulence require a transition in quality management. The study aimed at developing a Quality 4.0 maturity index for improved business operational efficiency and performance. Methodology/Approach: This conceptual paper introduces a theoretical business evaluative model that allows an integrated analysis of technology-driven, quality management dimensions. The model is based on theoretical and empirical information and describes Quality 4.0 business analysis by a theoretical central business dimensional concept, formal statistical analytical methods and uses these data to assign a maturity index score to the business. Findings: The study builds the Quality 4.0 maturity index following the analysis of seven continuous quality improvement dimensions. The maturity of these dimensions in the business is assessed with a five-point maturity level. The effectiveness of the index should be confirmed with fit as covariation and a composite score for the level of Quality 4.0 maturity. Research Limitation/Implication: The research is based on theory and has not been validated with empirical data. It is recommended that a validation study be conducted based on the approach and guidelines provided in the paper. Originality/Value of paper: The study helped develop a theoretical aspect of total quality management during an era of the fourth industrial revolution. It also aimed at practically benefiting a business by focussing on improved business capacity and capability to mitigate the environmental turbulence associated with pandemics. The paper provides novel work, as it describes one of the first Quality 4.0 maturity index models that may be used to improve business.

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Quality 4.0 and its impact on organizational performance: an integrative viewpoint

Cited by 40 publications

References 64 publications

Quality management in industry 4.0 environment: a morphological analysis and research agenda

Quality management in industry 4.0 environment: a morphological analysis and research agenda

Quality 4.0: big data analytics to explore service quality attributes and their relation to user sentiment in Airbnb reviews

Developing a Quality 4.0 Maturity Index for Improved Business Operational Efficiency and Performance

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