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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.

Effective measurement and analysis of service quality are an essential first step in its improvement. This paper discusses the development of neural network models for this purpose. A valid neural network model for service quality is initially developed. Customer data from a SERVQUAL survey at an auto‐dealership network in The Netherlands provide the basis for model development. Different definitions of service quality measurement are modelled using the neural network approach. The perception‐minus‐expectation model of service quality was found not to be as accurate as the perception‐only model in predicting service quality. While this is consistent with the literature, this study also shows that the more intuitively appealing but mathematically less convenient expectation‐minus‐perception model out‐performs all the other service quality measurement models. The study also provides an analytical basis for the importance of expectation in the measurement of service quality. However, the study demonstrates the need for further study before neural network models may be effectively used for sensitivity analyses involving specific dimensions of service quality.

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 purpose of this paper is to explore, confirm and verify leadership with regards to quality management measurement models. This research focused on identifying individual staff members’ leadership attributes at the Thai National Institute of Health in relation to quality management.

The research instrument used in this study was a modified questionnaire on self-leadership and quality management that was distributed to the institute’s staff. Leadership and quality management construct variables were observed and measured through staff perceptions, attitudes, practices and existing facts at the institute. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to examine the data.

The questionnaire had a 65 percent response rate. EFA revealed six factors from 27 questionnaire items and CFA was used to confirm the measurement models that were fitted to the data. The leadership attributes of staff members at the institute were statistically associated to and impacted on quality management by SEM analysis.

In-depth understanding of leadership and quality management could be done through a longitudinal study because the two factors would change over time. Even though this model is not a longitudinal study, it could help the institute facilitate and manage quality in practice through leadership.

A cross-sectional study is used to examine the effect of leadership on quality management through factor analysis and SEM, which provided empirical evidence for future research. Leadership and quality management measurement models have statistically proven to be appropriately, technically and theoretically correct by design for observing variables used in the leadership measurement model that affects quality management.

The disruptions caused by new-age technologies of Industry 4.0 are posing a formidable challenge to researchers, academicians and practitioners alike. Quality 4.0 that depicts the role of the quality function in the Industry 4.0 scenario must be comprehended so that the rudiments of Quality 4.0 are understood properly, and interventions can be made to embrace the new normal. As the literature on Quality 4.0 is extremely scarce, empirical studies are mandatory to augment the process of theory building.

The research work identifies 12 axes of the Quality 4.0 revolution based on literature review and insights from experts. Subsequently, a measurement model is formulated and an instrument to measure the level of Quality 4.0 implementation is developed. The measurement model has been checked for model fit, reliability and validity using the confirmatory factor analysis approach.

The proposed model was found to be adequate, reliable and valid and concludes that though technology plays a significant role in the development of the Quality 4.0 system, aspects of traditional quality are very much apropos to transform to the next frontier of quality.

Implications for future research are provided which would help to further explore the nascent field of Quality 4.0.

This research would help the practitioners better understand the various requirements and measure the degree of implementation of a Quality 4.0 system.

The present research is perhaps the first of its kind in propounding a measurement model, through empirical analysis, for the betterment of the understanding of Quality 4.0 and its associated constituents.

The purpose of this study was to review existing healthcare service quality-measurement models.

A review of the literature was conducted utilizing keywords “healthcare’’, “service quality’’, “measurement models”, “SERVQUAL”, “SERVPERF”, “HEALTHQUAL”, “PubHosQual” and “HospitalQual”. These investigations were selected from the “Emerald’’, “ABI/Inform”, “ScienceDirect” and “EBSCOhost” databases. A range of studies used in the makeup of the healthcare quality-measurement model for a 36 years period (1979 to 2015) were examined in an exhaustive survey of the literature. Of 137 studies reviewed, 74 studies were selected for analysis.

As yet, no consensus has been reached among scholars on the definition and indicators and factors of the quality of the healthcare services. Moreover, most of the current models are of Western origin and incongruent with the cultural and economic contexts of developing countries. The previous studies create scales resembling the generic measures of service quality, which may not be completely appropriate for assessing the perceived quality of healthcare services. Furthermore, previous studies were too narrow, overemphasizing the quality of healthcare only as far as the functional aspect of the services were concerned and paying too little attention to the technical aspects, using the experience of healthcare providers. These results have much room for failures. This is therefore advising healthcare organizations that need to develop their own models for measuring the quality of their services.

Generic models no longer suffice in measuring the quality of healthcare services. Developing countries should try and develop their own models for measuring the quality of healthcare services.

The purpose of this paper is to empirically test a new disabled service user‐specific service quality model ARCHSECRET against a modified SERVQUAL model in the context of disabled students within higher education.

The application of SERVQUAL in the voluntary sector had raised serious issues on its portability into this sector in general and its ability to measure the experience of the disabled service user in particular. In consequence, a disabled service user‐specific service quality model – ARCHSECRET – was developed which led to this research being designed to compare ARCHSECRET and a modified SERVQUAL model in terms of their ability to predict and explain the variation in the service quality experience of disabled students in higher education.

ARCHSECRET was superior to the modified SERVQUAL in terms of its overall predictive power; ARCHSECRET key drivers were different and better in predictive power than those of the modified SERVQUAL; and ARCHSECRET was found to be reliable and valid for the measurement of the disabled student experience in higher education, while acting as a diagnostic tool for the identification of service quality shortfalls.

The reported research should be regarded as a pilot study whose results are worthy of further investigation among larger samples of disabled service users.

It is held that the disabled service user‐specific ARCHSECRET model has made a positive contribution to the measurement of service quality within the context of disabled students in higher education while demonstrating its superiority over the SERVQUAL scale which did not quite “measure up”.

The purpose of this paper is to develop and test a modified service quality (SERVQUAL) model scale for measuring healthcare service quality in Kosovo.

An initial dimensions area methodology in construct development, followed by combined exploratory-analytical deductive research with the goal to test theory concepts and validate the measurement tool known from the theory of service quality using new empirical data in a specific context. A cross-sectional survey on a sample of 200 post-encountered patients and using structural equation modelling (SEM) and SEM path analysis to determine satisfaction.

The findings confirmed that a six-dimensional scale of SERVQUAL is not appropriate for the Kosovo health-care context. The scale development analysis with a new reduced four-dimensional model can be used to measure health service quality in the Kosovan context.

The initial study concept was not piloted. It was developed by the researcher based on secondary data. Systematic random sampling was used, which may have resulted in conclusions that are not applicable to the general population. Finally, this study is applicable to the Kosovo context and cannot be generalized nor represent all patients treated in Kosovo hospitals and clinics. However, the above limitations are less significant compared to the importance of carrying out this type of study for the first time in Kosovo.

This study can help Kosovo health authorities to guide health system-wide improvements and health-care providers to remove quality shortfalls based on a culturally sensitive and validated multiple-item scale for the quality of their service.

This is the first research conducted to identify which of the service quality dimensions require attention by the health-care service providers in Kosovo and develop a validated tool for patient satisfaction measurement that can be used for commercial application.

The purpose of this paper is to highlight the importance of the concept of service quality in a supply chain and present a framework for its measurement.

A literature review was conducted on key service quality models and measurement issues. Various dimensions related to the quality of service were explored. This was followed by in‐depth exploratory interviews at different levels. Based on the insights gained, a conceptual framework for measurement of quality of service in supply chain is presented.

The paper presents a conceptual model of service quality in supply chains based on gap analysis. These gaps are bi‐directional. The bi‐directional gaps cover both inter‐ and intra‐organizational transactions in the supply chain. They include the gap between supplier and focal firm, focal firm and distributor, and distributor and customer. Further, implications of various factors such as economic, politico‐legal, technical, socio‐cultural, competition, demographic are also highlighted. A novel methodology for the measurement of these gaps using various tools such as quality loss function, data envelope analysis, etc. is also presented along with segregating indicators in three categories, namely, quality of service indicators, quality of service and performance indicators, and performance indicators.

The assessment of quality of service in the supply chain is an attempt to cover the relatively less explored area. It is expected that this research will further motivate researchers to work in this area. This service quality framework will be beneficial to researchers and practicing managers in identification of opportunities for improvements in service quality.

This paper explores research in the less explored area and offers practical help to researchers and practitioners in providing a direction for service quality improvement in the supply chain.