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In this paper we compare the quality management practices and quality results between Taiwanese manufacturing and service companies, based on a survey of 131 manufacturing and 109 service companies. The results presented here are focused on eight critical factors of quality management ‐ quality leadership, strategic quality planning, quality information and analysis, human resources management, quality assurance, supplier quality, customer orientation, quality citizenship ‐ and company quality results. The present study shows significant differences between manufacturing and service companies with manufacturing companies performing better in six critical dimensions of quality management as well as in quality results. Opportunities for improving quality management practices in Taiwanese service companies are identified.

Quality 4.0 (Q4.0) leverages new emerging technologies to achieve operational excellence and enhance performance. Implementing Q4.0 in digital manufacturing can bring about reliable, flexible and decentralized manufacturing. Emerging technologies such as Non-Fungible Tokens (NFTs), Blockchain and Interplanetary File Storage (IPFS) can all be utilized to realize Q4.0 in digital manufacturing. NFTs, for instance, can provide traceability and property ownership management and protection. Blockchain provides secure and verifiable transactions in a manner that is trusted, immutable and tamper-proof. This research paper aims to explore the concept of Q4.0 within digital manufacturing systems and provide a novel solution based on Blockchain and NFTs for implementing Q4.0 in digital manufacturing.

This study reviews the relevant literature and presents a detailed system architecture, along with a sequence diagram that demonstrates the interactions between the various participants. To implement a prototype of the authors' system, the authors next develop multiple Ethereum smart contracts and test the algorithms designed. Then, the efficacy of the proposed system is validated through an evaluation of its cost-effectiveness and security parameters. Finally, this research provides other potential applications and scenarios across diverse industries.

The proposed solution's smart contracts governing the transactions among the participants were implemented successfully. Furthermore, the authors' analysis indicates that the authors' solution is cost-effective and resilient against commonly known security attacks.

This study represents a pioneering endeavor in the exploration of the potential applications of NFTs and blockchain in the attainment of a comprehensive quality framework (Q4.0) in digital manufacturing. Presently, the body of research on quality control or assurance in digital manufacturing is limited in scope, primarily focusing on the products and production processes themselves. However, this study examines the other vital elements, including management, leadership and intra- and inter-organizational relationships, which are essential for manufacturers to achieve superior performance and optimal manufacturing outcomes.

To facilitate the achievement of Q4.0 and empower manufacturers to attain outstanding quality and gain significant competitive advantages, the authors propose the integration of Blockchain and NFTs into the digital manufacturing framework, with all related processes aligned with an organization's strategic and leadership objectives.

This study represents a pioneering endeavor in the exploration of the potential applications of NFTs and blockchain in the attainment of a comprehensive quality framework (Quality 4.0) in digital manufacturing. Presently, the body of research on quality control or assurance in digital manufacturing is limited in scope, primarily focusing on the products and production processes themselves. However, this study examines the other vital elements, including management, leadership and intra- and inter-organizational relationships, which are essential for manufacturers to achieve superior performance and optimal manufacturing outcomes.

This paper examines three key factors that help to explain the differences between high and low performing plants in process quality. The three factors are: first, the seniority of manufacturing personnel within the plants; second, the involvement of these senior managers in the business, rather than being confined to the role of a production/technology functional specialist; third, the contribution of a manufacturing strategy which includes quality as part of its content and which feeds into, and forms part of, the overall business plan within the plant. The paper argues that these three factors help to maintain the strategic importance of quality and, consequently, help to explain the subsequent quality performance within the manufacturing plant. The conclusions are that two distinct groups emerge ‐ one, Traditional, and the other, Enlightened ‐ which are different in terms of attitudes, commitment to, and capabilities in, quality.

Compares, contrasts and assimilates the contributions of the TQM manufacturing and service quality management literatures. A manufacturing model of TQM is proposed, and then developed and enhanced in the light of concepts, tools and techniques which have emerged from the service quality literature. Examination of the core TQM precepts in the light of the service literature highlights certain key asymmetries and differences between the manufacturing and service literatures on quality management, both being characterised by different strengths and weaknesses. While the manufacturing literature is practitioner oriented and highly evangelical and universally prescriptive in tone, the service quality management literature adopts a more measured and academically rigorous approach, although it is arguably less successful in generating practical solutions for management. While the service quality management literature has clearly been enriched and significantly influenced by the TQM manufacturing literature, it is now contributing to the conceptual development of the core precepts of TQM and nurturing a sensitivity to the contingencies which render their application appropriate. Indeed, as the performance characteristics of services increasingly contribute to the success of manufacturing organisations, the issue in future may well be the conceptual transferability of TQM from service to manufacturing.

This paper aims to explore the relationship between environmental regulation, technological innovation and manufacturing quality competitiveness to provide some references for emission reduction activities and improvements in manufacturing quality competitiveness to achieve environmental protection targets and economic development as part of a win–win situation.

Based on the structure-behavior-performance paradigm and Grabowski’s research, a new empirical model was provided. The software, EViews 6.0, was used for econometric analysis. Regression analysis was adopted to explore the three indicators’ relationships.

First, environmental regulation can promote technological innovation effectively. Second, compared with wasted gas and wasted solids, investment in wasted water control promotes Chinese technological innovation most. Third, the impact of research and development investment, induced by environmental regulation, on manufacturing quality competitiveness is greater than that induced by non-environmental regulation. Fourth, the impact of lagged two-phase environmental regulation on manufacturing quality competitiveness is similar to that of lagged one-phase regulation.

The issue that Chinese manufacturing is facing is how to manage the trade-off between pollution control investment and improved quality competitiveness. This study enables managers to understand how to better implement environmental regulation initiatives while achieving environmental protection and quality competitiveness as part of a win–win situation.

This paper analyzes the relationships between environmental regulation, technological innovation and manufacturing quality competitiveness for the first time and provides the basic argument for integrating Chinese environmental regulation with quality competitiveness to reveal the uniqueness of the circumstances determining China’s economic development.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Quality has been identified as a key competitive weapon in the global market. Chinese firms are making considerable effort in implementing quality management in order to gain global competitiveness. The purpose of this study is to compare and contrast manufacturing strategies and business practices between TQM and traditional (or non‐TQM) firms in the Chinese manufacturing industry. This study explores the differences that may exist between TQM and traditional non‐TQM firms in manufacturing strategies and business practices by analyzing survey results of 243 Chinese manufacturing firms. Differences between TQM and traditional non‐TQM firms are investigated in several respects.

Despite a strong research output in quality in recent years, the literature is still scant in empirical studies of commonly held quality theories. Empirically investigates the operational and strategic impact of improved process quality and describes the construction of a model of process quality and its correlates in manufacturing. Using empirical data, the study performs a micro assessment of the impact of quality on operations performance. Implications for the business unit as a whole are also considered. Since the research domain of the study is manufacturing industry, the conformance dimension of quality has been adopted as a more precise and measurable definition than those followed in other research. Structural equation modelling (SEM) is used for analysing the magnitude and direction of hypothesized relationships, a rigorous and reliable way of testing multivariate data and path models. Research findings generally support the consensus view that there is a favourable impact of enhanced quality in the form of improvements in productivity, inprocess inventory, on‐time delivery, and manufacturing cost. Flow‐through effects on business performance were also noted though not in all dimensions. This research complements marketing‐oriented evaluation which has been a feature of approaches to date.

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.

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.

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.

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.

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.

Companies must use their resources effectively and productively if they are to compete in an increasingly competitive globalized economy. Effective performance measurement can support this competitiveness. To be able to do this, companies must know the factors that influence their performance and manage these factors in an effective manner. This study seeks to investigate the effect of manufacturing strategies of manufacturing companies on their financial performance and also the effect of firm size on the impact of manufacturing strategies.

A total of 200 manufacturing companies that are registered under the Chamber of Commerce in Gebze, Turkey were selected and their managers interviewed. A total of 102 questionnaires were returned out of 200. Regression analyses were performed using the results of the survey.

It was found, that an increase in the quality and cost/flexibility increased financial performance. However, the rate of delivery did not have any statistical influence on the financial performance. On the basis of the analysis done on the firm size, the last finding is that the effect of the quality and cost flexibility on financial performance is higher for large companies compared with SMEs.

The paper identifies the manufacturing strategies that significantly influence the financial performance of manufacturing companies and the effect of firm size on the effect of these strategies.