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In recent years, speedy development of Taiwan’s hotel industry intensifies market competition, customers’ demands on hotel services quality also increase with the increase of their consumption consciousness, and their demands on hotel types diversify, therefore hotel industry should concern on their unique management services quality brought by their different hotel types. The current designed service system or service transmission process may fail to meet customers’ demands owing to emphasizing degree gap in service quality. What is worse, it is difficult for hotel industry to actualize complete customer segregation and to provide customized services, therefore comprehensive understanding of customers’ demands on the service quality of different types hotels would contribute to operating management improvement of Taiwan hotel industry. This paper divides Taiwan hotels into three types: international tourism commercial type, holiday type and motel, the general hotels. It studies the emphasize degree gap in service quality between the industry and the customers. Data analysis shows that service quality gap (perceived gap) of hotels of different types exists in several quality aspects; what’s more, the perceived gaps, service quality aspects, and its items of different types of hotel are also different. After an integrated analysis, this paper puts forward a general and customer‐oriented quality item suitable for hotel industry to shorten the perceived gap of service quality, so that the hotel industry could design a service system and service transfer system, which could meet most lodging customers’ demands in the context of pluralized customer sources.

The main objective of the study was to utilize SERVQUAL for identifying gaps in the chain of services provided by the information technology (IT) resources. SERVQUAL was applied to IT services in higher education institutions in the United Arab Emirates.

Because of the many concerns and reservations raised with regard to using perception scores or gap scores, the appropriateness of the SERVQUAL measure to verify the anticipated structure of the instrument was also examined. Using confirmatory factor analysis, the structure of the perception scores (performance‐based model) and the gap scores (performance minus expectation‐based model) were examined.

The evaluation of model‐fit provided mixed results, but, in general, the results favored the perception scores. However, some statistical fit‐tests suggested that both models lacked the features necessary for a good fit. On the other hand, based on their feedback, respondents felt that SERVQUAL is a useful indicator for IT center service quality in institutions of higher education. SERVQUAL identified gaps in service quality for the three institutions. Empirical results of SERVQUAL scores for the IT centers in the three institutions are also presented.

The paper reassesses the structure and validity of the SERVQUAL model given its wide use and criticism, and applies the model to an important set of related, yet distinct service organizations such as information technology centers.

The aim of this chapter is to investigate factors affecting four of the gaps encompassed in the GAP model, which then results in Gap 5, the so-called customer gap, related to the variance between customer expectations and the perception of service quality (SQ). Four predictors were selected based on the literature review – marketing research orientation (MRO), service specification design (SSD), integrated technology (ITC) and integrated communication (ICO) – to examine their relationship with the customer gap. A valid and reliable questionnaire, developed for the purpose of the study, was used to collect data from a sample consisting of 600 employees from six hotels located in Amman, Jordan. The findings show that MRO, SSD, ITC and ICO significantly predict the four gaps in SQ on the provider side, which in turn significantly predict the customer gap. For companies, more attention should be paid to the four gaps that induce the customer gap.

Companies are constantly striving for superior customer service that meets consumers' expectations. Products that do not provide consumers with good service quality are unlikely to meet the expectations of consumers. The aim is to maximize customer satisfaction and achieve financial success by closing gaps to provide high-quality service to consumers. Customers use quality of service to choose a service provider. This does not only include the quality of products or service but also the quality of customer service. The five essential elements (5Es) – experience, emotions, exclusivity, execution and engagement – must be used by companies to ensure that their products and services meet defined standards or customer's expectations. The customer's opinion of a service is formed immediately, regardless of whether it is positive or negative. The result of a negative customer experience is negative word of mouth, which would cause loss in business from dissatisfied customers as well as from potential customers who will no longer use the services. Using the gap model for service quality, this study proposes the essential 5Es of service quality. As a result of the synthesis of this current research, the company's service delivery will be improved by identifying weaknesses. The use of these 5Es for the control of service quality and monitoring of quality defects leads to better understanding and reduction of cost.

Assesses the perceptions of service quality in China’s hotel industry, from the perspective of both international tourists and hotel managers. A questionnaire was used to survey a sample of 90 hotel managers and 270 international tourists who visited China and stayed at hotels in Beijing, Shanghai, and Guangzhou. A descriptive statistics analysis was used (paired t‐test and independent t‐test) to evaluate the service quality of China’s hotel industry from both the tourists’ and the managers’ perspectives, and to investigate the four gaps: between tourists’ expectations and their actual perceptions; between managers’ perceptions of tourists’ expectations and the actual expectations of tourists; between managers’ perceptions of a hotel’s service delivery and tourists’ actual perceptions of the service; and between managers’ perceptions of tourists’ expectations and managers’ perceptions of their hotel’s service delivery. The results showed that tourists’ perceptions of service quality provided in the hotel industry in China were consistently lower than their expectations and that managers overestimated the service delivery, compared to tourists’ perceptions of actual service quality, in the hotel industry in China. From the result of gap analysis, it might be concluded that Delivery Gap and Internal Evaluation Gap were the main reasons contributing to the service quality shortfalls in the hotel industry in China.

The objective of this paper is to propose a model for assessing the quality of service at various interfaces of supply chain using third party logistics.

Based on a rich combination of extensive literature review and insights gained through exploratory interviews, gap analysis methodology is used in developing the model. This was followed by an in‐depth analysis of gaps at various interfaces in supply chain. Further, both qualitative and quantitative techniques are suggested for data collection and analysis.

The key gaps in both the directions (forward and reverse) that are likely to affect the service quality at different levels are extensively defined. These gaps may exist between a 3PL service provider and the manufacturer, the marketing function and the 3PL service provider, etc. The paper also proposes frameworks such as data envelopment analysis for measurement of these gaps. A set of possible performance indicators is also proposed at various interfaces in supply chain.

This proposed model is an attempt to explore the relatively less explored area. It is expected that this research will further motivate researchers to work in this area. This supply chain service quality tool will be beneficial to practising managers in identification of opportunities for improvements in service quality.

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

The ability of a company to achieve excellence in service quality depends on the determination of service attributes and their desired levels. It depends also on the prioritization of service attributes, using appropriate quality improvement indices, in a consistent manner within the constraints of limited resources. There is a need to develop an operational procedure that would prioritize customer service attributes in a simple, inexpensive, and accurate manner. Well‐established instruments that measure service quality, such as SERVQUAL, have conceptualized the linear and symmetric relationship between service quality gaps and overall service quality. This paper investigated the asymmetric and nonlinear nature of this relationship and developed a model to advance utility theory into prioritization at the attribute level as well as at the dimensional level. In the service literature, this is a first attempt to apply utility theory in the prioritization of service attributes to help achieve quality in customer service.

The major aim of this investigation is to propose a novel approach for evaluating the implementation of the European Quality Award, i.e. the model of European Foundation for Quality Management (EFQM).

The EFQM model includes both enablers and results, while in the service quality gaps model, only the gaps between the organization and customer are studied. In this paper, a new approach has been proposed to assess seven determined gaps in implementing the EFQM model based on the concepts of the service quality gaps model and the ServQual approach. The new approach to the EFQMQual has been examined in Isfahan Province Gas Company using different viewpoints of senior and middle managers and senior experts on four elements of determined gaps. These include perceptions of goals, expectations of goals, perceptions of assessment and expectations of assessment.

Findings indicate that leadership and key results criteria have the lowest and the highest gap values, respectively. In addition, the fifth gap, i.e. the difference between expectations of assessment and perceptions of assessment, has the lowest average, while the seventh gap, i.e. elements of the EFQM model, has the highest average. With regard to the correlation among the seven gaps, it became obvious that there is a significant correlation among the first, fifth and sixth gaps; and also between the fourth and fifth gaps. Finally, based on the Pareto rule, the priority of the criteria related to each of the gaps has also been determined.

One of the limitations of this study is the complexity of the concepts in the questionnaires, which makes it difficult for respondents to understand the items of the questionnaires. To overcome this, therefore, the researcher has attached a guideline to the distributed questionnaires.

As the literature review indicates, there has not been any research on integrating the concepts of the service quality gaps model, the ServQual approach, and the EFQM model, while also analyzing the weak and strong results obtained from implementing the EFQM model based on such an integrated approach. The significance of the study lies further in the fact that based on an approach similar to the proposed EFQMQual, such concepts can be applied for evaluating the implementation of other quality award systems.

The purpose of this paper is to investigate the service quality of wireless telecommunication services in the UAE.

This study uses the five dimensions of SERVQUAL instrumentation (reliability, assurance, tangibility, empathy and responsiveness) that are believed to represent service quality to approach a result of service quality level through comparing customers’ expectations to their perceptions. A SERVQUAL survey was constructed and distributed among a total number of 100 Etisalat users from four different age groups.

The results showed a significant difference between users’ expectations and the current level of quality of services in tangibility dimension of quality. The other variables were ranked in this order, assurance, reliability, responsiveness and empathy in service quality.

The research findings encompass individuals from society only and may not be practical to generalize the findings to business organizations or industries as they have special offers and packages designed for their nature of the study.

This research is intensely valuable for Etisalat telecommunication company as it reflects and rates their service provided to the individuals of the society (citizens and residents) from five different critical dimensions. Consequently, it offers the firm the chance to improve the negative gaps in their services. Thus, higher customer satisfaction and loyalty.

This study demonstrated that a multi-cultural society could influence customers’ expectations and perceptions of service quality. The study results showed opposing expectations and perceptions to the same dimension from people of the same age group. The highest gaps were found to be in the tangibility and assurance dimensions whilst the lowest gap was found in the empathy dimension.

This paper seeks to apply the SERVQUAL model to identify critical performance measures in the airline industry, exploring differences between Eastern and Western expectations of airline service quality and delivery.

Data from 263 effective questionnaire responses were collected from two locations – Taipei (Taiwan) and London (UK) – to compare differences between the well‐documented gap‐5 (between perceived and expected levels of service quality) values of respondents from these places of origin.

The paper generally finds that: there is a statistically significant difference between the perceived and expected levels of service quality in the airline industry; these are affected by such demographic factors as education, occupation and income levels (but not all that were examined); the SERVQUAL model's dimensions represent appropriately the airline industry; and the gap‐5 sizes of these quality dimensions have a significant impact on customer satisfaction and service value; but there does not seem to be a statistically significant difference between the gap‐5s of respondents from the two locations.

The paper limited the research to data from two locations, and makes a bold assumption that the two locations make adequate representations of views from the East and West.

Gap‐5 and general SERVQUAL analyses seem to apply well to the airline industry. Further, management effort need not be different for the delivery of service quality between Eastern and Western passengers/customers. The findings are generalizable to other sectors for which service quality is an important public sector concern (e.g. household utilities).

A generic framework is presented for how service quality dimensions, and issues of gap‐5, relate to overall service quality, customer satisfaction, and service value, in the passenger airline industry.