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This article initially aims to explore the factors of every quality construct of the 5Qs model of service quality and, second, identify the significant factors affecting the total quality of e-healthcare services and its association with consumer satisfaction using a multidimensional hierarchical 5Qs model of e-healthcare service quality.

Questionnaire-oriented research was performed at three public hospitals of Punjab and Chandigarh. In total, 53 variables were covered in all quality constructs for data collection from the designated public hospitals. The respondents who agreed to have knowledge regarding e-Healthcare services and were availing these services were included in the study. The analysis comprised structural equation modeling technique using AMOS 21.

The outcomes suggest that the 5Qs model is more comprehensive and can be used to evaluate service quality perceptions using e-Healthcare services. The research identified 11 sub-dimensions for the five quality constructs of the 5Qs model, representing total quality, which is primary to consumer satisfaction. “Overall objectivity” and “technical objectivity” defined the quality of object. The quality of process of e-Healthcare services was characterized by “functionality,” “timeliness” and “responsiveness.” Quality of infrastructure was defined by “technical infrastructure,” “physical infrastructure,” “manpower skills” and “organizational infrastructure.” “Manner of interaction” and “timely interaction” defined the quality of interaction. The atmosphere was represented by only one factor. The results also suggest that quality of infrastructure, quality of interaction and quality of atmosphere play the most significant role in total quality leading to consumer satisfaction.

Theoretical implications: The multidimensional hierarchical model will help the researchers study the e-Healthcare service quality in a more organized manner, and the outcomes of this study can be linked with that of future studies for more generalized application in other public hospitals. The sub-dimensions of each quality construct of the 5Qs model can be applied in private hospitals, and the hierarchical model can be tested in different industries to measure service quality perceptions of the consumer

The outcomes of the study can be applied in various public sector hospitals to redesign the e-Healthcare services based on consumers' perception for better consumer satisfaction and quality services. This paper identifies the role of each quality construct in e-Healthcare services for improvement in the total quality, which in turn will lead to higher satisfaction for the consumers.

In this study, the original 5Qs model has been used for the first time in a new instrument to understand better and design quality e-Healthcare services. The paper explores the sub-factors of each quality construct and its significance in measuring the total quality.

Attracted by tremendous market opportunities of mobile business, many web services providers have started to expand their web services from traditional PC-based environment into the mobile-based environment. However, success in the web services cannot guarantee the success in the mobile services. The purpose of this paper is to identify factors that influence consumer evaluation and use of mobile shopping services in a web-mobile service extension context.

Based on categorization theory, this paper focusses on the role of integration and consistency between web and mobile services. A research model was created and empirically tested on data collected from 298 mobile shopping users in China.

The structural equation modeling analysis indicates that evaluation of source (web service quality) positively affect evaluation of target (perceived mobile service quality and flow in mobile services). The study also found that the relationships between source and target (perceived integration and perceived consistency) play an important role in determining evaluation of the target, which in turn shapes intention to use mobile services.

The survey is based on mobile shopping consumers. Caution is required in any effort to generalize the findings to other research contexts. Factors influencing a consumer's extension or adoption decisions in regard to different mobile services may not be the same, or the degree of influence may differ. Continued studies can test and compare our findings in different mobile services contexts.

The results of the findings provide specific methods for managing the process of web-mobile service extension. The results also indicate the importance of perceived consistency in shaping consumers’ evaluation of the extended mobile services in practical environments.

The present study extends the categorization theory to a multi-channel context and examines mobile services adoption from a cross-environment perspective. It considers evaluation of source, evaluation of target, and the relationships between source and target, which enriches the innovation adoption literature by providing a holistic insight into the evaluation and use of mobile services.

Among the areas which need to be addressed in service quality research is the nature of consumer expectations across the range of intangibility. Previous research has compared consumers’ service quality expectations across services, but different groups of subjects were evaluated for each different service. The problem with using different subjects for each service is that the subject’s demographic characteristics may be responsible for the significant differences in expectations of quality. This research uses a controlled, repeated measures design where subjects were each asked to evaluate three services, varying in their degree of intangibility, over a ten week period. This made it possible to look at service quality expectations without risking the problem that demographics would account for most of the differences in the data. A classification matrix for services based strictly on the feature of intangibility is proposed. The managerial implications of this simplified classification scheme for services are discussed.

This article investigates the impact of the COVID-19 pandemic on the consumer preference for the attributes of online food delivery (OFD) services in India. It also shows how the order size influences the consumer's willingness to pay (WTP) for the attributes of OFD services.

This work incorporates a conjoint analysis-based approach to determine the consumer preference for the attributes of OFDs such as price, delivery time, restaurant rating and packing quality during the COVID-19 pandemic. The fractional factorial design is applied for the data collection. The relative importance of the attributes and the part-worth utility of the attributes' levels have been determined. Further, the utility associated with the attributes' levels is used to find the consumer's WTP for different attributes.

The COVID-19 pandemic has changed consumer preference from price to food and packing quality in India. When the order is small, consumers exhibit a higher preference to the delivery time than packing quality. In contrast, consumers show a higher preference to packing quality than delivery time with the increase in order size. The consumer's WTP attains the highest level in case of food quality, followed by convenience and packing quality. The WTP for the attributes rises with the increase in order size.

The insights highlight the need for the online food delivery industry to redesign the business framework in the post-pandemic era. The hygiene and safety measures maintained by the consumers during the pandemic have significantly changed their purchasing behaviour, raising their preference for service quality (food and packing quality) of the OFD services apart from price.

This work determines the consumers' utility for each attribute level of OFDs, along with their relative importance. Moreover, this study contributes to the existing literature by exhibiting the impact of the COVID-19 pandemic on the consumer preference and order size on consumer's WTP for the attributes.

Use of technology for quality healthcare services has developed into a new field known as “e-Healthcare services.” Healthcare providers often judge their quality of services with consumer satisfaction. With e-Healthcare services, consumer satisfaction is influenced by the quality of healthcare services provided and the demographic characteristics. The purpose of the present case study is to recognize the important predictors of quality, which are significant for consumer satisfaction with e-Healthcare services by using Zineldin's 5Qs model. It also aims to find the strength of association among the predictors of consumer satisfaction and the demographic characteristics of the respondents.

A questionnaire-based study was conducted at a public (PGIMER, Chandigarh) and a private hospital (Fortis Hospital, Mohali) of Punjab, India, from February 2018 to March 2019. The structured, closed-ended questionnaire, to be marked on a 1–5 point Likert scale, was adapted from Zineldin's 5Qs model and was distributed to the respondents sitting in the waiting halls of the selected hospitals. The respondents comprised of both the patients and their attendants who were aware of e-Healthcare services and were using them.

The analysis identified quality of interaction, quality of hospital atmosphere and quality of object to be the key predictors of consumer satisfaction with e-Healthcare services. The results reveal a strong association between different demographic characteristics and overall consumer satisfaction with e-Healthcare services.

The results suggest that improvements in the quality of interaction, quality of hospital atmosphere and quality of object may result in higher consumer satisfaction with e-Healthcare services. Working on the identified dimensions of quality will help the e-Healthcare providers in identifying functional problems of e-Healthcare services and developing improvement strategies, which will also result in better health and quality outcomes. The results of this study will help the e-Healthcare providers in better segmentation of e-Healthcare consumers based on their demographic characteristics and in developing better marketing strategies.

This paper focuses on the quality of e-Healthcare services only and attempts to identify the quality dimensions, which leads to the satisfaction of e-Healthcare consumers. The identified quality dimensions will help in designing better e-Healthcare services and framing policies. It also highlights the association of demographic characteristics with important quality dimensions.

Explores the segmentation by service marketers of the consumer market on the basis of service quality expectations. Measures consumer expectations and various quality dimensions for three commonly purchased professional and three non‐professional services. Evaluates the effect of various consumers′ demographic characteristics on service quality expectations. Concludes with a discussion of research and managerial implications.

Provides insight into the concept of quality in the service market by investigating possible influences on consumer expectations of quality and how these expectations may be better met. Reports on a study examining the effects of certain stimuli on expectations regarding different types of service. Discovers that significant differences were found regarding the nature of the expectations as the stimuli werevaried, differences which remained after involvement and the removal of personal need effects. Offers recommendations to service providers and includes an explanation of the methodology used in the study.

Loyalty among customers is the baseline for services to use to grow and sustain their competitive advantage, particularly in the banking industry. There are two primary objectives of this research. First, this study aims to empirically test the Muslim Consumer Service Quality (MCSQ). Second, this study aims to test the mediating effect of Muslim Consumer Satisfaction (MCS) on the relationship between MCSQ and Muslim Consumer Loyalty (MCL) in Indonesian Islamic banks.

The proposed hypotheses were tested by collecting data from 280 Indonesian Islamic customers. The collected data were tested using PLS-Graph 3.0.

The findings indicate that MCSQ (consisting of Islamic values, Sharia compliance, honesty, modesty, humaneness and trustworthiness) positively influenced MCS and MCL significantly. Further, the results indicate that MCS partially mediates the influence of MCSQ on MCL.

The data were mainly gathered in Indonesia and the model needs to be tested in other contexts. Furthermore, the questionnaire was distributed among the customers of Islamic banks, and future studies could compare it with the customers of conventional banks or dual account (Islamic and conventional bank) customers. Moreover, further studies should compare between the expectations and reality of the delivered services to understand the service quality gap, which this study did not measure.

The findings indicate that by measuring the service quality in the Islamic context of Islamic banks, such as MCSQ, the managers can design their services to specifically target their Muslim customers. Furthermore, customer satisfaction must be the focus for the bank’s managers when developing MCSQ to close the gap between the expectations and reality of the delivered services.

This study empirically tests the developed MCSQ in the context of Indonesian Islamic banks, which is expected to enrich the literature of service marketing. Furthermore, a partial mediation effect of MCS was identified on the influence of MCSQ on MCL, which few studies have discussed previously.

This study aims to describe the general picture of the competition in multichannel expert services in duopoly market and discuss how the quality difference may affects the competition between service providers with different quality levels, where both providers offer face-to-face channel and one of providers offers online channel additionally and service quality that consumers have heterogeneous preferences for is vertically differentiated. These results can be used to determine which service providers should offer online expert services and understand the competition in multichannel expert services in duopoly.

This paper uses the stylized vertical differentiation model to investigate the role of quality in expert services market, assuming that two services providers offer the same services with different quality levels and one of them having additional online services. Taking into account the differences of services from products and the particularity of online service, this paper extends the vertical differentiation model to expert services market.

The quality difference is the key factor in the competition of expert services. Service prices and the profits of providers, independent of the quality levels, are positively related to the quality difference, whereas the demand of online services is in the opposite direction regardless of which provider offers online channel. It demonstrates that provider with low-quality level should open online channel from the point of view of social welfare if it is closely related to the expert services, even though any provider can make more profits by opening online channel.

This extended vertical differentiation model, taking into account the importance of vertical differentiation in expert service, ignores the horizontal differentiation. More accurate strategies for multichannel expert services providers with what level of the quality a provider should offer is needed in future work. Moreover, this paper does not consider the different waiting costs of consumers in face-to-face channel and assumes that their problem will be solved eventually.

To the best of the author’s knowledge, no study has focused on the quality difference in multichannel expert services market or discussed how to offer online expert services in the duopoly market. This study extends the vertical differentiation model to the multichannel expert service market. Therefore, it fills this research gap and extends research to expert services market in the new network environment, aiming to help understand the competition in multichannel expert services.

The purpose of this study is to examine the consumer-side effects of “under new management” (UNM) signs. The authors integrate cue-utilization theory and relevance theory to guide hypotheses about the conditions under which these signs are and are not beneficial.

Two consumer-based experiments were used to examine the quality and reputation effects of restaurants signaling a management change on potential and existing customers.

The results suggest that positive and negative effects are possible. The direction of these effects is contingent upon consumers’ prior experience, type of service (i.e. search/experience) and the relevance of the signal.

The study is limited to one industry (i.e. restaurants) and examines the effects of market signals on perceived quality and reputation. In addition, this research brought forth the notion of “signal relevance” and suggested that it may be explicitly tied to attributions. However, this assertion must examine multiple signals (relevant/irrelevant) and their contingent effects on consumer perceptions.

The findings advise businesses to use caution when using signals such as an “UNM” sign, as they appear to have different effects depending on the experience of the consumer with the service and the relevance of the signal.

This research contributes to the literature on cue utilization theory to understand the effects of marketplace cues on consumer perceptions. It contributes to marketing theory and practice by proposing a model of cue effects based on prior customer experience, type of service and cue relevance.