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The scope of this study is to explore and summarize the pool of dimensions, models and measurement techniques of service quality used in healthcare services and to propose a comprehensive conceptual model for practitioners and researchers.

This research employs a comprehensive review of available literature by using multiple keywords on different electronic repositories using the recommendations of the PRISMA approach for the selection of articles. A critical analysis of available studies helped in compiling a list of core service quality dimensions in healthcare services.

This paper presents a comprehensive account of different dimensions and their measurement items used by various researchers to assess service quality in healthcare systems. Most of the researchers have used SERVQUAL model either in its original or modified form while the others have proposed and used totally different dimensions to assess the service quality in healthcare. Many dimensions are just an existing dimension of SERVQUAL that has undergone a name change while others are completely new. The dimensions used by many researchers have items drawn from more than one dimension of SERVQUAL model. The availability of so many dimensions and models adds to the confusion that researchers and practicing managers experience when determining the appropriate model to be used in their work. To mitigate this confusion, there is a need to develop a comprehensive model; the current work is an attempt to meet this need. Through our analysis, we identify four major service quality dimensions: clinical quality, infrastructural quality, relationship and managerial quality and propose a model named CIRMQUAL.

After exploring all available models in the domain of healthcare, this research presents the best possible areas to enhance the quality of healthcare services. It also enhances the research insights for academicians and working professionals by developing and proposing a comprehensive model for measuring healthcare service quality. The proposed model covers almost all of the service quality dimensions used by other researchers and will make the choice of dimensions/model easy for the future researchers/practitioners interested in measuring and improving the quality of services offered by their healthcare units. Such a comprehensive model has not been developed by any researcher thus far.

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 reveal and compare the SERVQUAL dimensions from the customers' and the managers' perspectives, and to examine their effect on customer satisfaction and business performance, respectively, in Jordan's mobile service industry.

The authors delivered 1,000 questionnaires to customers, from which 756 were valid and useable for data analysis. For the managers' sample, 350 questionnaires were delivered to managers, from which 256 were valid for data analysis. Utilizing structural equation modeling, and after a series of exploratory and confirmatory factor analyses, the authors tested the theoretical five dimensional SERVQUAL model and tested their effect on customers' satisfaction and business performance, respectively.

It was found that SERVQUAL is a three‐dimensional construct as opposed to five, as proposed by the original hypothesised model. From customers' point of view, SERVQUAL consists of three dimensions that are reliability, tangibility and interaction quality (empathy, assurance, and responsiveness). From managers' points of view, SERVQUAL consists of three dimensions that are empathy, tangibility‐reliability, and responsiveness‐assurance.

SERVQUAL is used to measure service quality from both customers' and managers' perspectives and it is found that SERVQUAL dimensions and items are different from the two samples' perspectives. A very fruitful area of future research is to investigate why and how SERVQUAL dimensions and items are different from customers' and managers' perspectives, as well as examining antecedents and consequences of service quality. Managers of mobile service operators have empirical evidence regarding SERVQUAL dimensions from customers' and managers' perspectives comparatively.

This is the first attempt to examine the SERVQUAL dimensions from customers' and managers' and employees' perspectives, comparatively, in Jordan and then examine their effects on customer satisfaction and business performance, respectively. The authors' results also provide significant managerial implications on how to manage the service quality dimensions and the vital role they play to ensure customer satisfaction and business performance alike.

With an increasing air cargo demand in the global air cargo transport industry, not only domestic airlines but also foreign carriers are actively investing in the air cargo service sector and trying to provide a differentiated service in order to gain a competitive advantage. There are a variety of service quality models available but most research to date has not found an optimal model for the air cargo service sector.

Using questionnaire data collected from air freight forwarders in Korea with respect to the air cargo service provided by Korean Air, Asiana Airlines, and foreign carriers(JAL or China Eastern), this paper compares four models in measuring the service quality in the air cargo sector and identifies the best model. We then analyze the weakness of each airline’s service operation and make suggestions for improvement.

For demonstration analysis, the survey of domestic air cargo forwarders revealed that Reliability>Responsiveness> Supply ability>Security in important order in air cargo service quality dimension. In the context of this paper, we considered four models-unweighted SERVQUAL, unweighted SERVPERF, weighted SERVQUAL, and weighted SERVPERF–for our investigation into which is the most suitable model in the air cargo service sector with testing of goodness of fit by three criteria. Our results indicate that the most suitable model for the air cargo service sector is the weighted SERVPERF model.

There have been numerous studies on measures of service quality, such as SERVQUAL and SERVPERF, in a variety of contexts, but the validity of these instruments in Asian markets is under‐researched. The present study was focused in South Korea and data on expectations, perceptions and importance measures were collected from 153 bank customers. Confirmatory factor analyses revealed that the measurement scales lacked validity with the South Korean sample, and principal component analyses revealed that SERVQUAL and SERVPERF were not uni‐dimensional. An amended SERVQUAL type scale showed three factors similar to the original SERVQUAL analysis, and an amended SERVPERF type scale showed two factors, with most of the original items converged on different conceptual dimensions.

Using the attitudes of students toward ideal banking services, the purpose of this paper is to examine the structure of banking-related SERVQUAL service dimensions with first-order and second-order confirmatory factors analysis. Following this, a study model was suggested to describe the relationship between the perceptions of students regarding the services provided by their banks and their overall level of satisfaction with the bank.

The sample group for the study comprised students from the Faculty of Economics and Administrative Sciences of Eskisehir Osmangazi University. The sample included 441 students, and was designed according to a stratified and proportional distribution. The first-order and second order confirmatory factor model used to confirm the structure of the SERVQUAL service dimensions presented in the study was found to be suitable and compatible. The relationship of the SERVQUAL service dimensions based on the actual perception of banking services by the students with the students’ satisfaction and loyalty to their banks was investigated using a structural equation modeling (SEM) analysis.

Based on the study results, it was concluded that the confidence inspired by the banks, the reliability of their services, and the physical appearance and accessibility of the bank all have an effect in increasing customer satisfaction.

Conducting this study using university students, who represent a specific group, will help in determining whether the quality of banking services provided to students is, in itself, sufficient to make them prefer these banks. Furthermore, the study will also shed light on various other aspects, such as the banks’ efforts at reviewing and developing the services they provide to students.

A key question is whether the instruments developed for consumer services can accurately gauge the service quality perceptions of organisational customers. Reports psychometric testing of the SERVQUAL as a measure of service quality in ocean freight services. Based on a survey of a cross‐sectional sample of 114 business organisations in Singapore, which regularly utilise ocean freight services for their export needs, this study found that the psychometric properties of the SERVQUAL scale are at variance with those found in consumer services settings. Further, the SERVQUAL perceptions scores were found to be a better predictor than the SERVQUAL gap scores. In sum, the service quality measures developed for consumer services can only be applied with caution in business‐to‐business marketing. Implications and future directions for research are discussed.

Focuses on one of the most widely used service quality measurement scales, SERVQUAL, and looks at some of the areas of concern which have recently been raised regarding its viability as a comprehensive measurement tool for the service industry as a whole. While acknowledging the significant contribution that this model has made, it is suggested that it does not go far enough ‐ the dimensions of SERVQUAL do not adequately address some of the more critical issues associated with the assessment of individual services. Having carried out citation analyses of both the 1985 and 1988 versions of SERVQUAL, it can be shown that although there is a plethora of published work in the marketing and retail sectors about its applicability, relatively little empirical work has been carried out in other service sectors. Indeed, more than one‐quarter of all published papers where SERVQUAL was a major theme, appear to have severe reservations about this scale. In place of the SERVQUAL scale, a model which takes the form of a hierarchical structure ‐ based on three main levels of attributes ‐ pivotal, core, and peripheral (P‐C‐P) is proposed. This P‐C‐P model has the ability to span any service sector since what is proposed is a skeletal framework within which to consider respective services. The authors are currently in the process of using this model for the empirical analysis of the quality of information which is provided by government bodies to the business community. The results of their empirical study will form the subject matter of the next paper in this series. This is, therefore, largely theoretical in nature with the emphasis on a critical appraisal of the existing models in the service quality arena and it also describes the authors’ own model to encourage discussion and debate among researchers, perhaps allowing them to make further refinements to their proposed model.

This paper reviews 20 years (1988‐2008) of research on the SERVQUAL scale for measuring service quality.

A range of studies that have applied the SERVQUAL scale in this 20‐year period are examined in a non‐exhaustive review of the literature. These studies are selected from well‐known databases – such as “ABI/Inform”, “ScienceDirect”, and “EBSCOhost”.

The paper identifies and summarizes numerous theoretical and empirical criticisms of the SERVQUAL scale. Despite these criticisms, the paper concludes that SERVQUAL remains a useful instrument for service‐quality research.

The paper provides a useful source of information on SERVQUAL and its applications. In particular, the paper summarizes a selection of 30 applications of SERVQUAL.

The purpose of this paper is to determine the nature of the relationship between service quality and desired customer behaviours in the leasing market using an appropriate service quality measurement model. The authors take a step further by recognising the possible differences in influence of service quality in private and corporate customers, and those business dealings with low, medium and high lease values.

The authors use deduction method to test the SERVQUAL in the German leasing market and the relationship between customer satisfaction and desired behavioural outcomes. The developed questionnaire is based on the 22-item scale of the SERVQUAL approach. Samples are selected based on convenience sampling.

The authors found differences in the levels of influence by SERVQUAL dimensions on corporate and private customers as well as among those customers with different leasing contract values. From the regression analyses, it is clear that “assurance” from the leasing company is the most common SERVQUAL dimension that has significant impact on overall service quality perceptions and obtaining customers satisfaction and loyalty (behavioural outcomes).

The authors recognised that all financial services are not created equally to meet customer demands. Hence, the customer expectations of service quality from these services will be different. The authors contributed to the marketing literature by studying customer perceptions of service quality by specifying financing aspects of financial services, i.e. leasing. The authors further contributed to the literature of SERVQUAL model in financial services by dividing customers into two different types of customers and those with diverse leasing contract values. The authors found that priorities given on service quality dimensions by them are different. These concepts were never considered in the literature. This also implies that future studies on financial services marketing need to recognise such differences in the research.