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How to measure Quality Performance (QP) or excellence performance in organizations is very important for improving the quality of an organization’s products and services. This paper takes Quality Function Deployment (QFD) as a ueful tool to identify the key characteristics of quality performance and measure the influence factors on quality performance. Most national quality awards provide a framework of the criteria to show the essential elements of an organization’s quality performance and get the Quality Performance Score (QPS) by self‐assessment using the criteria. By means of these criteria, especially, the criteria of China Quality Award (CQA), a measurable indicator system for quality performance is set up. A four‐phase QFD model of assessment for quality performance is developed. This QFD model not only presents the most important efforts for the deployment of the measurable indicators of quality performance, but also takes great advantage of evaluating the quality performance and obtaining the quality performance score. The measurable indicator hierarchy of quality performance is formed and its implementation method for assessment quality performance is described in this paper.

Given the rapid recent growth in ISO 9000 applications and the business performance benefits being claimed for it by National Accreditation Registrars, it is timely to review the research in this area to see if any substantial proof exists for these claims. The paper explores the literature and finds that there is no proven link between quality certification (ISO 9000) and improved business performance. However, it is clear from the research reviewed on business performance factors, that better quality does have a consistent, positive relationship with business performance. Combining these findings leads to the inference that quality certification to ISO 9000 standards is not consistently associated with having a quality assurance system that delivers improved process control, or better quality. We conclude that the National Accreditation Registrars need to reflect on the standards of proof that they currently use to support claims for business performance improvement from the application of the ISO 9000 standards.

Studies of the construct of service quality have traditionally been undertaken from the perspective of the service receiver. More recently, research has focused on both the service provider's perspective and the service receiver's perspective. In addition, there have also been some triadic network approaches to the study of service quality. However, there has been very little research into sequential service quality in service‐encounter chains (that is, consecutive service performances in a series of service encounters). The incorporation of connected service encounters in services management can improve understanding of sequential service quality in service‐encounter chains. This paper provides a customized construct of sequential service quality and highlights the importance of time, context, and performance threshold in service‐encounter chains. Furthermore, the paper presents a generic five‐phase performance process, and a customized six‐dimensional construct of sequential service quality.

The study aims to examine the connection between practices of total quality management (TQM) and sustainability in Malaysia food and beverages companies (FBC). Continuous process improvement, benchmarking, management leadership, human resources management, quality assurance, service design and information and analysis as TQM practices are considered and their relationship, respectively, with sustainable performance.

A survey questionnaire is administered to gather responses from 303 FBC, while 98 responses are useable and subsequently analysed using partial least squares structural equation modelling.

The results reveal that effective implementation of continuous process improvement, benchmarking, quality assurance, service design and information and analysis have positive and significant effect on sustainability.

The scope of the present study was limited to FBC in Malaysia, and a cross-sectional design was employed to examine the hypothesized relationships at a single point in time.

The proposed and developed model of this study can be employed by policy and decision makers in the industry. This model can be considered by practitioners in the industry to implement critical policies in the future.

The premises of the institutional and contingency theory are supported by re-affirming the importance of contingencies and institutions for any successful strategic practices to enhance sustainable performance by implementing TQM.

The present study conceptualizes total quality management (TQM) in terms of soft and hard aspects and examines their effects on quality performance and patient satisfaction. The indirect effects of soft and hard TQM on patient satisfaction through quality performance are also investigated.

A multi-item questionnaire was prepared to gather primary data from a sample of 312 medical employees in private hospitals in Jordan. The measurement model was evaluated for validity and reliability and determined to be acceptable. Structural equation modeling (SEM) was applied to test the research hypotheses.

The results revealed that soft TQM has a strong positive effect on quality performance and patient satisfaction. Hard TQM was found to positively affect quality performance but to a lesser extent compared to soft TQM. The effect of hard TQM on patient satisfaction, meanwhile, was not significant. Quality performance positively mediated the relationship between TQM – both soft and hard – and patient satisfaction.

This study is one of the first to conceptualize TQM in terms of soft and hard aspects in a health care context. It offers valuable insights for managers of private hospitals looking to enhance quality performance and patient satisfaction. The results reveal that soft TQM is the primary driver of quality performance and patient satisfaction in the health care context, which is in stark contrast to the manufacturing sector.

Most studies on small and medium scale enterprises lump both small-scale and medium-scale businesses together as entirely similar phenomenon, thus creating an oversight of the degree of performance recorded by medium-scale businesses. In line with investigating medium-scale firms' performance, this study examines the role of quality management in the performance of medium-scale firms to evolve research-based recommendation for better performance.

Cross-sectional survey design and random sampling were employed. Analysis was based on 915 responses obtained via questionnaire copy distribution from employees within the supply chain, production, operations, and marketing/sales department of selected firms. Hypotheses testing was done using the structural equation model.

A positive significant relationship between quality management and operational performance, employee performance, and quality performance dimensions was identified. An insignificant relationship between quality management and financial and innovation performance dimensions was discovered. However, when mediated by employee focus and process management, significant relationships were observed among all performance dimensions.

The study reveals that employee focus and process management have the greatest mediating impact on the relationship between quality management and the organisational performance of medium-scale manufacturing firms. This study charts the course for other studies to investigate the mediating role of quality management practices on the relationship between quality management and the organisational performance of medium-scale firms in other developing nations. The manufacturing sector has thirteen industries, but only six were captured in this study. This poses a limitation to the generalisation of the findings of this study. Further studies could strive for a representation of every manufacturing industry to aid generalisation purposes.

Managers of medium-scale manufacturing firms must understand that it might be impossible to get a one size fits all approach to improving performance dimensions. Managers are advised to choose one or two performance dimensions as the goal, then focus on achieving them. This will help clarify which path is best to get the desired results and maximise their quality management system.

This study examines the impact of quality management practices on an integrated performance model of medium-scale firms. The study also uniquely examines the mediating impact of exclusive quality management practices on the relationship between quality management and an integrated performance model.

Though extant literature proposes buyer–seller information sharing as a crucial variable for quality improvement, there is a dearth of empirical understanding of how it affects procurement quality performance. The present study aimed at addressing this knowledge gap by using small- and medium-scale enterprises (SMEs) in a developing African economy as an empirical context.

The research hypotheses are tested on survey data from 138 SMEs in Ghana using structural equation modeling.

Results show that buyer–seller information sharing is positively related to procurement quality performance and that high levels of buyer–seller information sharing lower procurement quality performance.

Though the study demonstrates that there is a limit to the procurement quality performance benefit of buyer-seller information sharing, it does not empirically analyze the conditions that may relax this limit.

This research highlights both the bright and dark sides associated with buyer-seller information sharing and how they work out to determine procurement quality performance. It shows that SMEs could optimize procurement quality performance when they pursue a moderate level of buyer–seller information sharing.

This research advances the sparse literature on the procurement quality performance construct and its determinants within the context of SMEs. Unlike prior research that focuses on information technology, this study explicitly analyzes the role of information sharing in determining procurement (quality) performance and shows that differing levels of buyer–seller information sharing impact procurement quality performance differently.

The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.

Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.

The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.

The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.

Cumulative capability models are dominating frameworks explaining how manufacturing organizations gain their performance capabilities, such as quality, delivery, flexibility and cost. When innovation capabilities are excluded from the framework, the models are incapable of explaining how companies sustain substantive capabilities in a changing environment. Responding to this gap, the purpose of this paper is to propose and test a “sand cone” cumulative capability model that includes the innovation competitive performance alongside the competitive performance of quality, delivery flexibility and cost.

Two competing cumulative models were proposed. The extended cumulative capability model hypothesizes the development of innovation in sequence with other competitive performance dimensions. The affected with innovation cumulative model hypothesizes innovation performance as a predecessor of other performance dimensions. The models were tested using a multimethod approach on a representative sample of 500 manufacturing companies. An analysis of correlations among competitive performance, frequencies of plants following prescribed sequences, fit statistics of covariance-based structural equation modeling and analysis of strength and statistical significance of path coefficients enabled us to select a model that best represents the collected data.

The findings reveal that innovation competitive performance operates as a predecessor of quality, delivery, flexibility and cost and is developed in relation to these performance dimensions. The modified model also provides a theoretical explanation of how innovation performance helps to sustain reliable production systems that can perform consistently over time within a tolerable range of quality, delivery, flexibility and cost performance.

The results are significant for practitioners, especially for companies that are operating in volatile environments because the results provide insight on how to develop innovation competitive performance in relation to quality, delivery, flexibility and cost performance.

This study extends the cumulative capability models with innovation competitive performance. It advances the contingency approach on cumulative capability models.

This empirical study examines the relationship between total quality management (TQM) and innovation performance and compares the nature of this relationship against quality performance. The empirical data were obtained from a survey of 194 managers in Australian industry encompassing both manufacturing and non‐manufacturing sectors. The structural equation modeling technique was used to examine the relationships between TQM and quality performance as well as innovation performance, simultaneously. The findings suggest that TQM significantly and positively relates to both product quality and product innovation performance although it appears that the magnitude of the relationship is greater against product quality. In addition, significant causal relationships between quality performance and innovation performance were found, suggesting that achievement of one aspect of performance could impact the other.