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The article examines the usage and relative importance of quality measurements in the UK’s largest service companies. The authors analyse the relationship of both internal and customer‐based quality measurements to the importance placed on accreditation to an ISO 9000 standard. The effect of process structure is explored by categorising the service firms as being in front‐room or back‐room dominant service sectors. The authors find that the service firms, which consider accreditation to be important, have a different emphasis on quality than other service firms do. Significantly, their emphasis shifts from one that is in line with their process structure to a more balanced one, where both internal and customer‐based quality measurements receive similar attention. This leads them to conclude that accreditation to an ISO 9000 standard can make a profound difference to the way quality is perceived and measured in large service firms.

This paper verifies the adequacy of perceived quality measurement instruments by comparing the SERVPERF and EP methods. After a discussion of the differences between the two methods, a quality perception measurement instrument for the company is developed and applied to a sample of ceramic company clients. The methods are compared by analyzing the multitrait‐multimethod matrix using the structural equation model methodology. Results indicate that SERVPERF has greater reliability, greater convergent and discriminant validity, explains variance more completely, and consequently introduces less bias.

The purpose of this paper is to formulate and validate a measurement model to evaluate the service quality of cultural centers. This study aims to expand the domain of service quality measurement models by extending the SERVQUAL model to an alternative measurement tool called the ARTQUAL model based on three different preferences and scenarios including concert halls, theater halls and art galleries.

The data were collected from 15 cultural centers. Structural equation modeling (SEM) was utilized in the current research to study the association between aesthetic environments and service quality. An exploratory factor analysis took place to formulate the fundamentals of the measurement model. The validation process is based on a hybrid framework integrating the covariance-based SEM along with the partial least square technique to present a robust validity of the ARTQUAL model. Ultimately, an extensive managerial analysis has been established to show the practicality of the ARTQUAL model.

This study provides empirical evidence that the ARTQUAL instrument is proven to be valid, reliable and appropriate to evaluate the service quality of cultural centers. Based on the real-world managerial analysis, the ARTQUAL model showed a significant practicality in quality evaluation of aesthetic environments.

One of the most important limitations of quantitative studies, based on aesthetic features, is the cultural preferences. This limitation is due to the nature of cultural preferences and partialities applied in different countries based on the definition of quality involving aesthetic aspects such as age, sex and culture. Meanwhile, the findings of this study can guide the service management experts to better understand and improve customers’ perceptions and orientations of service quality in aesthetic environments.

This paper presents a novel service quality measurement model in order to evaluate the service quality of cultural centers. The originality of the current study is not merely limited to the suggestion of a new quality measurement model, a hybrid statistical validation framework has been provided as well. Therefore, this study provides valuable guidelines to both practitioners and academics to enhance the quality of service measurements in cultural centers.

Recently, gauge repeatability and reproducibility (GR&R) study has been highly regarded by the quality practitioners when QS9000 and D19000 become fashionable requirements for manufacturing industries. Measurement plays a significant role in helping organizations improve their product quality. Good quality of products is the key factor towards business success. Therefore, how to ensure the quality of measurement becomes an important task for quality practitioners. In performing the GR&R study, several parameters, such as the appropriate sample size of parts (n), number of inspectors (p) and replicate measurements (k) are frequently asked by quality personnel in industries. The adequacy of current way of (n, p, k) selection is very questionable. A statistical method using the shortest confidence interval and its associated computer programming algorithm are presented in this paper for evaluating the optimal allocation among sample size of parts (n), number of inspectors (p) and replicate measurements (k). Hopefully, it can provide a useful reference for quality practitioners in industries.

We respond to the existing gaps regarding the drivers and outcomes of customer experience quality in the context of bank marketing by examining the interrelationships between distinct dimensions of VTM service quality, customer experience quality and customer loyalty.

This research follows the Stimulus-Organism-Response theory to examine the antecedents and behavioural outcomes of customer experience quality during their journeys with video teller machine (VTM) services in the banking industry (also known as LiveBank or SmartBank). First, we conducted in-depth interviews with 34 bank customers to develop distinct measurement scales for customer experience quality and VTM service quality. A structural equation model linking six dimensions of VTM service quality, including tangibles, interaction quality, empathy, reliability, user’s friendliness and efficiency with the affective-sensory and intellectual values of customer experience quality and customer loyalty to VTM service is tested using data obtained from 405 individual customers.

The findings reveal that tangibles, interaction quality, reliability, user-friendliness and efficiency contribute to customer experience quality, which, in turn, drives customers’ intention to use VTM again. This research provides crucial theoretical background and practical implications to accelerate the penetration of VTM among bank customers and hence, foster financial inclusion among societies.

This paper presents the first research that empirically employs the value-based approach to measure customer experience quality in the banking service industry and examine its linkages to service quality and customer loyalty. Moreover, given the emergence of VTM, this is also among the pioneering studies which validate measurement scales for VTM service quality. This could be either reused or revisited for further research about VTM. Overall, our study contributes to the literature about customer retention in the banking service industry from not only the customers’ backwards-looking evaluations of service performance (i.e. service quality) but also their forward-looking evaluations (i.e. their own experience).

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

This study aims at investigating the existing knowledge in the literature on quality management performance measurement in order to identify performance measures in the field of total quality management and classify measures according to the three levels of supplier, customer and company.

A systematic literature review is conducted at the intersection of performance measurement and total quality management fields. Four databases including Web of Sciences, Scopus, Emerald and Google Scholar were searched up to 2018. A final sample of 24 articles was selected based on the inclusion/exclusion criteria that constitutes the knowledge base of the study.

One of the problems that many organizations face is the lack of knowledge and resources on how to evaluate, improve and manage the quality performance. Through analysis and synthesis of the literature, the study revealed the measures for assessing quality performance at three levels of supplier, customer and company.

This study focuses only on four databases, which may have limited the number of the databases included and thus the scope of this investigation to a certain extent.

The present study aimed to identify and classify different performance measures through a systematic literature review framework classifying these measures into three groups. The article brings together fragmented literature from multiple studies to categorize research output regarding performance measurement of supply chain quality. The paper shows the state of the performance measurement in total quality management in supply chain.

This research aimed to verify how the performance measurement system (PMS) and the quality management system (QMS) work in small and medium Brazilian enterprises in the light of the typology proposed by Garengo (2009).

Using a qualitative approach PMS’s and QMS’s managers were interviewed. The data from the first interview were analyzed using the technique of content analysis and have been subsequently triangulated with other data collected. The study was conducted by means of two questionnaires, two semi-structured interviews, and the analysis of the performance measures used by five small/medium manufactures based in the State of São Paulo.

It was found that in four out of five companies, PMS does not function singly, but along with QMS, mainly with respect to performance indicators. In spite of that intrinsic operation, the systems are in different stages of evolution. It was also found that in three out of five companies, quality management area is responsible for coordinating the process of PMS use, without effective participation from the controlling and/or accounting areas in this process.

The typology of Garengo (2009), used to check the stage of the PMS, was validated and can be used by practitioners to diagnose and improve the PMS in their enterprises; companies with QMS certified by ISO, particularly with higher degree of quality management maturity, can be encouraged to implement or improve the PMS in their organizations.

The main objective of this study is to develop a strategy for implementing various quality measurement tools as part of a continuous improvement programme in institutions for the elderly in Portugal.

The empirical data were drawn from a survey performed in 32 institutions for the elderly, aiming to ascertain the level of knowledge of several performance measures and quality tools and their degree of implementation. Based on data and on total quality management principles, a performance measurement framework was designed and tested in two organisations.

The results confirmed the existence of a relevant gap between theory and practice and also showed that innovation measures were considered the less relevant and less used. Overall, it was concluded that the degree of quality management systems implementation (a small number of institutions have a quality system certified) affects positively the success of a performance measurement system.

The findings suggested the utility of the framework for quality improvement; however, some institutions took advantage from isolated improvements and individual measures without adopting a performance measurement system, confirming that the adoption of such a system will face obstacles.

The outcome of the study provides specific knowledge to social area organisations. The proposed framework is also a means of compliance with ISO 9001 requirements on performance measurement and continuous improvement and more general management needs.

Discusses the requirements for building and implementing a quality measurement system. Contends it is essential that management understands the benefits of both measurement in general and quality measures in detail. Asserts that quality measures focus efforts providing positive and negative feedback. Contends that quality measures immediately point to the area of the process where the problem originates. Asserts that organizational quality measures provide information about how a particular organization is operating. Discusses a number of measurement models. Concludes that reviewing quality measures in a methodological manner will provide increasing opportunities for improvement.