Enabler toward successful implementation of Quality 4.0 in digital transformation era: a comprehensive review and future research agenda

Thekkoote, Ramadas

doi:10.1108/ijqrm-07-2021-0206

Cited by 40 publications

(36 citation statements)

References 64 publications

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“…It advances the understanding of Big Data Analytics (BDA) tool standardization in Quality 4.0 (Sanchez et al, 2020;Escobar et al, 2021;Amat-Lefort et al, 2023), proposing a structured approach to address standardization gaps. The research also presents a conceptual framework for integrating advanced digital technologies in manufacturing, discussing infrastructural needs (Dutta et al, 2021;Kamble et al, 2018;Senna et al, 2022;Amat-Lefort et al, 2023) and outlines a systematic strategy for digital transformation, setting a foundation for future strategy evaluations in Quality 4.0 adoption (Babatunde, 2020;Escobar et al, 2021;Thekkoote, 2022;Sureshchandar, 2022), thereby connecting theoretical and practical aspects in this evolving domain.…”

Section: Policy-making Industry Research and Theoretical Implicationsmentioning

confidence: 99%

“…Quality 4.0 represents a pivotal shift towards data-driven organizational metamorphosis, utilizing expansive datasets produced by integrated Industry 4.0 technologies for refining Quality Management Systems (QMS) (Gunasekaran et al, 2019). This paradigmatic change enables organizations to support the transition from reactive to proactive quality management (Thekkoote, 2022). Quality 4.0 entails the adoption of real-time monitoring, predictive maintenance and anomaly detection, resulting in faster identification and resolution of quality issues (Asif, 2020;Dias et al, 2022), leading to an overall improvement in product quality (Dutta et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…This approach is vital in developing nations, where disparities between SMEs and large corporations in digital strategies for Quality 4.0 are pronounced (Horv ath and Szab o, 2019;Senna et al, 2022). Policy-making should focus on bridging the digital divide and enabling inclusive Industry 4.0 technology adoption (Thekkoote, 2022).…”

mentioning

confidence: 99%

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Investigating the barriers to Quality 4.0 adoption in the Indian manufacturing sector: insights and implications for industry and policy-making

Roy Ghatak,

Garza-Reyes

2024

IJQRM

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Purpose The research explores the shift to Quality 4.0, examining the move towards a data-focussed transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: First, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Second, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector.Design/methodology/approach Employing Interpretive Structural Modelling and Matrix Impact of Cross Multiplication Applied to Classification, the authors probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorized according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology–Organization–Environment (TOE) framework.Findings The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organizational barriers is marginal, contrary to theoretical postulations emphasizing their central significance in Quality 4.0 assimilation.Practical implications This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards.Originality/value This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between “lack of standards for Quality 4.0” and “lack of standardized BDA tools and solutions,” providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0.

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Section: Policy-making Industry Research and Theoretical Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigating the barriers to Quality 4.0 adoption in the Indian manufacturing sector: insights and implications for industry and policy-making

Roy Ghatak,

Garza-Reyes

2024

IJQRM

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“…It also allows them to plan and administer successful training programs that may assist staff in acquiring these abilities, resulting in enhanced productivity, quality and creativity (Fonseca et al. , 2021; Thekkoote, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Critical failure factors for Quality 4.0: an exploratory qualitative study

Antony,

Kaul,

Bhat

et al. 2023

IJQRM

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PurposeThis study aims to investigate the adoption of Quality 4.0 (Q4.0) and assess the critical failure factors (CFFs) for its implementation and how its failure is measured.Design/methodology/approachA qualitative study based on in-depth interviews with quality managers and executives was conducted to establish the CFFs for Q4.0.FindingsThe significant CFFs highlighted were resistance to change and a lack of understanding of the concept of Q4.0. There was also a complete lack of access to or availability of training around Q4.0.Research limitations/implicationsThe study enhances the body of literature on Q4.0 and is one of the first research studies to provide insight into the CFFs of Q4.0.Practical implicationsBased on the discussions with experts in the area of quality in various large and small organizations, one can understand the types of Q4.0 initiatives and the CFFs of Q4.0. By identifying the CFFs, one can establish the steps for improvements for organizations worldwide if they want to implement Q4.0 in the future on the competitive global stage.Originality/valueThe concept of Q4.0 is at the very nascent stage, and thus, the CFFs have not been found in the extant literature. As a result, the article aids businesses in understanding possible problems that might derail their Q4.0 activities.

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“…Indeed, some authors (e.g. Thekkoote, 2022;Yacob et al, 2019) argue that the competitiveness of SMEs hinges on operational measures, environmental dimensions, and green models. These concerns have called for studies in this direction (e.g.…”

mentioning

confidence: 99%

Green marketing strategy, technology implementation and corporate performance: the role of green creative behaviour and institutional isomorphism

Nyamekye,

Martey,

Agbemabiese

et al. 2024

JCMARS

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PurposeThis paper aimed to test a proposed framework highlighting strategic green marketing initiatives and how they drive new technology implementation towards green corporate performance, underpinned by institutional isomorphism.Design/methodology/approachThe study used a quantitative method and convenience sampling approach in gathering data using adapted questionnaires to solicit first-hand information from 225 employees of small and medium-sized enterprises (SMEs) in the tourism and hospitality sector underpinned by the theory of institutional isomorphism.FindingsThe study shows that green communication and green strategy alignment have significant predictive effects on new technology implementation. Cultural isomorphism significantly moderated the effects of implementing new technology (i.e. green communication and strategy alignment). In addition, “new technology implementation had a significant predictive effect on green corporate performance”. Meanwhile, the moderation effect of “green creative behaviour on the new technology-green corporate performance dyad was positive but insignificant.”Originality/valueThe study’s novel framework confirms how green communication strategy and green strategy alignment complement cultural isomorphism to explain the impact of new technology implementation on green corporate performance, underpinned by institutional isomorphism.

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Enabler toward successful implementation of Quality 4.0 in digital transformation era: a comprehensive review and future research agenda

Cited by 40 publications

References 64 publications

Investigating the barriers to Quality 4.0 adoption in the Indian manufacturing sector: insights and implications for industry and policy-making

Investigating the barriers to Quality 4.0 adoption in the Indian manufacturing sector: insights and implications for industry and policy-making

Critical failure factors for Quality 4.0: an exploratory qualitative study

Green marketing strategy, technology implementation and corporate performance: the role of green creative behaviour and institutional isomorphism

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