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The purpose of this study is to evaluate a bidimensional tool to measure overall service satisfaction: the evaluative space grid (GRID scale). The GRID scale provides a common measure for both positivity and negativity through 25 grid cells. The authors propose to use the GRID scale as an integrated measure of both satisfaction and dissatisfaction to capture mixed reactions or ambivalence.

Within a cross-sectional between-subjects survey design, this study compares overall satisfaction with bank services as measured on the GRID scale versus a traditional semantic differential (SD) scale.

The results show that the GRID scale performs as well as the SD scale with respect to different criteria, such as reliability and discriminant, convergent, nomological and predictive validity. However, it allows to measure separately indifference and ambivalence.

Such a distinction assists decision-makers with recommendations on different strategies not only to create customer loyalty based on satisfaction but also to encourage them to think how to decrease the levels of dissatisfaction and ambivalence.

The GRID scale would address survey needs of every business suffering from average performances. This tool provides them better in-depth overall satisfaction information, especially regarding the “middle-ground” customers.

The purpose of this paper is to examine the impact of self‐congruence on consumer satisfaction with services and to develop and test a conceptual model of the antecedents and consequences of consumer satisfaction in the hospitality industry.

The conceptual framework consists of the following constructs: actual self‐congruence, ideal self‐congruence, desires congruence, service quality, consumers' overall attitude to a service firm, and intention to return. Moreover, 12 hypotheses were developed and tested. Exploratory and confirmatory factor analysis were used to test the validity of the measures, while PLS was used in hypotheses testing. Data were collected from 185 consumers who had recently visited a restaurant or hotel.

Strong support was found for 11 of the 12 hypotheses. Findings reveal that ideal self‐congruence and desires congruence have positive effects on consumer satisfaction. In contrast, it is shown that actual self‐congruence is not related to consumer satisfaction. Moreover, it is demonstrated that the two dimensions of service quality – physical quality and staff behaviour – have a positive impact on both desires congruence and consumer satisfaction. Importantly, consumer satisfaction is found to be a better indicator of the consumers' overall attitude to the service firm than service quality. The study confirms that consumer satisfaction mediates the relationship between the two service quality dimensions, ideal self‐congruence, and intention to return.

This study makes four important contributions. First, satisfaction research is advanced by integrating self‐concept theory into the postpurchase evaluation of services. Second, the relationship between the multidimensional nature of service quality and consumer satisfaction is examined by testing paths from two posited dimensions of service quality – physical quality and staff behaviour – to satisfaction. Third, the consumers' overall attitude to a service firm is integrated into existing models of satisfaction and its impact on behavioural loyalty (intention to return) is tested. Finally, a contribution is made to the satisfaction research literature by testing the effect of service quality on desires congruence, and the effect of desires congruence on consumer satisfaction.

The purpose of this paper is to examine the dimensions of service quality (SERVQUAL) from the perspective of the customers and its relationships with perceived overall SERVQUAL in retail banking and also investigate the relationships between perceived overall SERVQUAL and customer trust, customer satisfaction, and bank reputation.

A survey questionnaire was constructed, and data were collected from 375 regular customers of local banks. The convenience sampling method was employed to collect data from existing customers of local banks operating in the Klang Valley area of Malaysia. Structural equation modelling was applied to analyse the data.

The results of the study indicate four key dimensions of SERVQUAL – tangibles, empathy, reliability and security, and internet banking – all of which are significantly and positively related to customers’ perceived overall SERVQUAL. Internet banking facilities are another significant determinant of the perceived overall SERVQUAL. The results are indicative of the strong and positive effect upon customer satisfaction, their trust in the bank, and, finally, a bank’s reputation.

This study has presented and tested empirical study of perceived overall SERVQUAL model in the banking industry, particularly in the Malaysian context. This research identified the dimensions of SERVQUAL (i.e. tangibles, empathy, reliability and security, and internet banking) that influence the overall perceived SERVQUAL, and how these overall perceptions will eventually influence customer trust, customer satisfaction, and bank reputation is valid and reliable in retail banking industry. This study, however, only focussed on the banking industry. Given the diversity of the service industry, these findings may have to be tested for the applicability to different service industries in future studies.

This research is useful to bank managers as it helps them improve SERVQUAL to protect and expand their respective market share in a highly competitive industry. Banks could utilise the results of this study to improve their service tangibility, empathy, reliability, and security, which will affect both customer trust and satisfaction, and enhance a bank’s reputation.

The findings of specific dimensions of SERVQUAL will contribute to customer perception of banks’ image and reputation, and strengthen trust and satisfaction. Moreover, assisting customers towards the understanding of how they should received high quality of services with regard to quality should be perceived as emphatic, reliable, secured and tangibility of service.

The findings of this study highlight the specific dimensionalities of SERVQUAL in influencing the perceived overall SERVQUAL. This study will increase the understanding on the impact of perceived overall SERVQUAL on consumer trust, customer satisfaction, and a bank’s reputation. Specifically, it reports an empirical study of a model of perceived overall SERVQUAL that simultaneously considers the direct effects of perceived overall SERVQUAL on customer trust, customer satisfaction and bank reputation.

There is a pressing need for practitioners to adopt viable analytic procedures that may help them optimize resource allocation to strengthen customer satisfaction. This paper reviews a range of procedures used for measuring customer satisfaction that are identified in the literature and tests which procedures might be more useful to practitioners.

Customer satisfaction measurement procedures developed in the literature are reviewed to assess the non‐linear and asymmetric relationship between attribute performance and overall satisfaction. A convergent validity test between the two measurement procedures that the review suggests are the most suitable for application in practice is then conducted to discover the relative merits of each. The test is based on an empirical investigation carried out in the mobile communication industry.

Two measurement procedures were identified as the most appropriate to practitioners, “regression with dummy variables” and the “Importance Grid”. These were compared using a convergent validity test, which revealed a lack convergent validity between the two. Discussion about the reliability of the two procedures and the implications for practice is provided. On balance, the regression with dummy variables was identified as the better approach.

The paper highlights the importance that recognition is given to the non‐linear and asymmetric response of customer satisfaction to the performance of different product/service attributes if appropriate decisions are to be made for allocating marketing resources. While research on customer satisfaction has emphasized the need to account for the non‐linear and asymmetric relationship between attribute performance and overall satisfaction, no effort has been made to disseminate these insights fully among practitioners. Since understanding the relationship between attribute performance and overall satisfaction is paramount if resource allocation to improve attribute performance is to be prioritized correctly, there is a pressing concern to move customer satisfaction programs closer to the theory predictions. A range of measurement procedures is reviewed and compared. Through this work, academics and practitioners may gain further insight into procedures for measuring customer satisfaction and an understanding of the relative benefits and limitations of the procedures that may be adopted.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

It is commonly acknowledged that service quality can be measured by using attribute‐based and incident‐based measurements. Both methods are distinct in nature, but can be used complementarily. However, in the literature a simultaneous empirical investigation of the power of critical incidents in relation to attribute scores is lacking. In this paper we merge both methods for assessing service quality in a professional services context. Subsequently, both measurements have been used to investigate the effect of service quality on short‐term customer satisfaction and long‐term trust in the service provider. Results indicate that the combined approach adds value to single‐method measurement for explaining customer satisfaction. Furthermore, negative incidents are more influential on satisfaction than positive experiences. However, the negative effect of a negative incident on satisfaction can be compensated for by paying attention to particular dimensions of service quality. Critical incidents do not seem to have an impact on the apparently stable construct of trust.

Many different scales have been used to measure customer satisfaction. These scales can be divided into three main groups, being those measuring performance, disconfirmation and satisfaction. Reports on the design and execution of a study of hotel guests in which they were asked to rate the key service attributes of their stay using all three of these measurement scales. Repurchase intention and word‐of‐mouth effects were also measured. Compares the scales on the basis of reliability, convergent and discriminant validity, predictive validity, skewness, face validity and managerial value for directing a quality improvement programme. Shows the disconfirmation scale to be superior to both the performance and satisfaction scales on all these criteria except for predictive validity. In addition, the performance scale was generally better than the satisfaction scale on a number of these criteria.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

This paper reports a study that was carried out to obtain comprehensive performance ratings to gauge the productive and service quality performance of a public transit company using a recent performance measurement method called operational competitiveness rating (OCRA) analysis. The computed ratings incorporate the cost and revenue efficiency of operations, quality of service experience as perceived by commuters, and the quality of service delivery in specific areas measured internally. The ratings reflect the strategic priorities the company assigns to the financial and customer service implications of its operations. We demonstrate OCRA’s use as a diagnostic tool to examine a series of scenarios to construct performance profiles corresponding to different managerial priorities.

This paper asks the question of whether more environmental uncertainty affects the design of performance measurement systems in terms of a greater variety of performance measures and whether this leads to more management satisfaction with the performance measurement system and improved firm performance.

Information processing theory is used to frame the hypotheses and findings. A questionnaire was sent to the 300 largest companies in Iceland, where environmental uncertainty has been prevalent.

The results indicate that increased uncertainty leads to a larger variety of non-financial performance measures, such as customer measures. A positive relationship is found between management satisfaction with the performance measurement system and firm performance. However, the variety of performance measures was not linked to management satisfaction or firm performance.

The results suggest that managers increase the variety of performance measures when uncertainty increases. However, it is not the variety itself that increases management satisfaction or improves firm performance.

Performance measurement design is affected by environmental uncertainty. Managers focus on important stakeholder groups such as customers under such conditions and can consult research and practice for the purpose of customer relationship management and customer profitability measurement to improve measurement selection.

This work focusses on performance measurement system design, examining the use of more than 50 different performance measures, and differentiates between small and medium-sized firms and between service and non-service firms.