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Hotel classification systems are used to convey information about facilities and services. Yet, they have been prone to criticism for overemphasizing facilities at the expense of other matters of importance to service quality. In contrast, online travel agents (OTAs) use innovative methods to evaluate satisfaction with hotels. Conventional systems will lose relevance if they do not step up to consider service aspects associated with customer satisfaction. This chapter probes five hotel classification systems along with one OTA and leverages the literature to propose an improved framework classification. This is based on nine critical areas that include service quality, infrastructure, facilities and services, human resources, sustainability, safety and security, accessibility, quality systems, and online hotel ratings.

The purpose of this paper is to present the results of a study that examined how customers in the USA, France, and Korea perceived and classified a set of 13 services based on multidimensional scaling (MDS).

A MDS framework was used to map service classifications and actual services in the USA, Korea and France. Results from each country were then compared to the other two countries to determine similarities and differences.

Results from this research suggest that there are two underlying dimensions that explain approximately 80 percent of the total variance in service perceptions and classifications. Underlying dimensions of the classifications across the three cultures were virtually identical. Differences among the countries were based on relative positioning of classifications and/or services on the underlying dimensions.

Evidence from diverse cultures implies that consumers perceive services in a somewhat simplistic, two‐dimensional fashion rather than the complex set of classifications proposed by researchers. Although the complex classifications may be of use to service providers in organizing the delivery of services, the presentation and positioning of those services is along a much simpler framework in the minds of customers.

This is the first time consumer‐based perceptions of services have been examined systematically across cultures using a MDS approach.

Few marketing studies look at service classifications for self‐service technologies (SSTs) and none directly compare consumer‐based perceptions of traditional services to SSTs. To fill this gap, this study aims to examine how customers perceived traditional services and SSTs on service classifications criteria proposed by Lovelock, Bowen and Bell.

In two separate studies consumer ratings for each classification method on each service were obtained. Using multi‐dimensional scaling (MDS), 13 traditional services and 12 SSTs were separately mapped onto a perceptual space of service classifications.

The comparison of the two perceptual spaces reveals that consumers viewed the classifications of convenience, person/object, and delivery for SSTs differently than that for traditional services. The classifications of traditional services were represented by two dimensions of customization/standardization and person/object. In contrast, the classifications of SSTs were represented by two dimensions of customization/standardization and separability/inseparability. Thus the description of the underlying dimensions of services varied by traditional services or SSTs.

It is possible that the results of the MDS were influenced by the use of preset classifications. Results may also be influenced by the authors' choice of MDS method. Further research is needed regarding the classification of SSTs and the use of these classifications for SST design.

This research extends previous consumer‐based classification research by including SSTs. The findings identified separate typologies for SSTs and traditional services. The typologies should be of interest to both researchers and managers who are interested in how SSTs are perceived by consumers.

In the services marketing literature, few service classifications are based on how customers view services, and fewer of these have been validated cross‐culturally. To fill this gap, this research presents the results of a study that examined how US and French customers perceived and classified a set of 13 services based on multidimensional scaling. Service classifications were developed on a perceptual space where the actual services were mapped for two countries, the USA and France. The results of the study suggest that there are two underlying dimensions that explain approximately 80 percent of the total variance in service perceptions and classifications. The dimensions and correlations for the classifications and services displayed many consistencies and some differences among American and French consumers. Directions for future academic research and managerial implications are cited and discussed.

With the increasing number of Web services, correct and efficient classification of Web services is crucial to improve the efficiency of service discovery. However, existing Web service classification approaches ignore the class overlap in Web services, resulting in poor accuracy of classification in practice. This paper aims to provide an approach to address this issue.

This paper proposes a label confusion and priori correction-based Web service classification approach. First, functional semantic representations of Web services descriptions are obtained based on BERT. Then, the ability of the model is enhanced to recognize and classify overlapping instances by using label confusion learning techniques; Finally, the predictive results are corrected based on the label prior distribution to further improve service classification effectiveness.

Experiments based on the ProgrammableWeb data set show that the proposed model demonstrates 4.3%, 3.2% and 1% improvement in Macro-F1 value compared to the ServeNet-BERT, BERT-DPCNN and CARL-NET, respectively.

This paper proposes a Web service classification approach for the overlapping categories of Web services and improve the accuracy of Web services classification.

Most existing classifications of business services have taken the perspective of the supplier as opposed to that of the buyer. To address this imbalance, the purpose of this paper is to propose a classification of business services based on how the buying company applies the service with respect to its own business processes.

The paper considers some specific aspects of the process of buying and exchanging business services, focusing on the everyday production and consumption of services as opposed to the initial purchasing and negotiation phases.

Earlier literature has developed similar, albeit less elaborate classifications, but does not provide detailed insight into how such classifications are related to differentiated buyer‐supplier interaction. This classification distinguishes between four business service applications; as a component, semi‐manufacture, instrument or consumable. For each of these four types of services, interaction has to achieve different objectives and consequently they differ with regards to required organizational resources in terms of required capabilities and buyer‐supplier interfaces.

Primarily conceptual and exploratory in nature, this paper is intended as a review of existing literature and possible starting point for further empirical validation and theoretical refinement. The paper contends that the differences in application have a significant impact on interaction patterns, but this is not to say that other variables have no impact on buyer‐supplier interaction patterns. Subsequent research should seek to control for those other possible sources of variation.

The overall implication of this classification is that for different services, the buying company should assess how they are applied. Subsequently, it is relevant for firms to consider what functional aspects are crucial and who are likely to become, or who should be involved and to what extent, in the purchasing decision process and in the interactions that take place after the decision has been made.

The majority of past classification models for services have failed to account for the different nature of online services, and therefore, they are not helpful in classifying online services. This paper aims to present a new model for classifying online services, and managerial implications for creating customer loyalty to online service organizations are discussed.

This paper presents an overview of the research in service classifications and a classification model for online services based on a review of the services literature.

The model for online services presented in this paper classifies online services into four categories: online mass services, online mass e-tailing services, online professional and personal services and online service shops.

The classification of online services has received very limited research attention; yet, online services represent a rapidly growing area. The model presented in this paper provides a foundation for the further study and research of online services.

This study aims to propose a service quality evaluation model for health-care services.

In this study, a service quality evaluation model is proposed based on the service quality measurement (SERVQUAL) scale and machine learning algorithm. Primarily, items that affect the quality of service are determined based on the SERVQUAL scale. Subsequently, a service quality assessment model is generated to manage the resources that are allocated to improve the activities efficiently. Following this phase, a sample of classification model is conducted. Machine learning algorithms are used to establish the classification model.

The proposed evaluation model addresses the following questions: What are the potential impact levels of service quality dimensions on the quality of service practically? What should be prioritization among the service quality dimensions and Which dimensions of service quality should be improved primarily? A real-life case study in a public hospital is carried out to reveal how the proposed model works. The results that have been obtained from the case study show that the proposed model can be conducted easily in practice. It is also found that there is a remarkably high-service gap in the public hospital, in which the case study has been conducted, regarding the general physical conditions and food services.

The primary contribution of this study is threefold. The proposed evaluation model determines the impact levels of service quality dimensions on the service quality in practice. The proposed evaluation model prioritizes service quality dimensions in terms of their significance. The proposed evaluation model finds out the answer to the question of which service quality dimensions should be improved primarily?

The purpose of this paper is to construct a customer‐oriented integrative service model based on the generic service process. Business strategies can then be formulated by using the model.

The key classifying dimensions and their respective attributes are identified through literature reviews. Operational dimensions are formed by combining their attributes weighted by manager‐determined importance weights (IW). A generalized mathematical model is built to integrate the core services of a firm with customer‐based performance weight (PW). The integrative service model is constructed by combining the operational dimensions.

The selected classification model covers knowledge, information and virtual space dimensions that most of the previous service‐process based model lack. The developed model is simpler to understand and to use for managers comparing to the other complicated mathematical models.

Empirical studies need to be done to test the effectiveness of the model. Experienced managers are needed to decide the IW.

Managers can use the developed model to formulate integrated business strategies as well as forecasting competitor's strategies. The developed model is a customer‐oriented approach for service strategy formulation.

A generalized mathematical model is derived for a firm offering “n” kinds of core services. Computer software can be written based on it to handle the complex cases.

The purpose of this paper is to propose a multi‐dimensional taxonomy for information kiosk‐based self service technologies (SSTs). This taxonomy has an important contribution to make to the integration of research and development, in relation to information kiosks. There are aspects that may also be extended to e‐service, online service and self‐service.

The conceptual context for this work is established by a review of previous literature. This focuses on taxonomies and classification schemes relating to information kiosks, traditional services (p‐services) and e‐services. A comprehensive database of information kiosk technologies and their applications is constructed. Longitudinal observation of the development of information kiosk technologies is the basis for this and has been extended by web research.

An iterative analysis of the kiosk database defines the nature of service delivery from kiosks, and supports the identification and verification of the dimensions and sub‐dimensions of the taxonomy. It is informed by earlier classification schemes and taxonomies in the information kiosk, e‐service and p‐service literature.

This taxonomy has four main dimensions: Location, User, Task and Technology. Sub‐dimensions are developed for each of these main dimensions. It can be used to classify all information kiosks.