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This article evaluates how consumer expectations evolve over time and if three antecedents (negative experiences, alternative attractiveness and level of visitation) explain possible changes in expectations.

A conceptual model is structured with six hypotheses that are tested through articulated studies. First, a study with a longitudinal approach is developed and applied to a sample of students. Data collection is carried out over three periods and a latent growth model (LGM) is applied. Further ahead, another essay is developed to reexamine the moderating role of corporate image and level of visitation on the effect of negative experiences on expectations. For this, the role-playing approach is applied.

Study 1 reveals that patterns of expectations change from one service meeting to another, and these mutations are influenced by negative experiences and alternative attractiveness. Three pieces of evidence are highlighted. First, negative experiences produce contradictory and simultaneous movements in consumer expectations. Negative experiences reduce desired expectations and, at the same time, increase adequate expectations. These effects change in magnitude because of the corporate image. This confirms the moderating role of the corporate image in the relationship between negative experiences and expectations. This does not happen with the level of visitation, in which the moderating function is not sustained. The findings about moderating effects are confirmed by Study 2. Second, as customers have alternative companies, the minimum level of expectation rises. Alternative attractiveness positively impacts only adequate expectations. Third, the results do not support the relationship between the level of visitation and expectations. This reveals that more frequent customers do not necessarily have higher expectations.

This paper is the first to provide empirical results about the moderating effects of corporate image and level of visitation on the relationship between negative experiences and expectations.

Based on appraisal theory and social response theory, this study aims to explore the mechanism of AI failure types on consumer recovery expectation from the perspective of service failure assessment and validate the moderate role of anthropomorphism level.

Three scenario-based experiments were conducted to validate the research model. First, to test the effect of robot service failure types on customer recovery expectation; second, to further test the mediating role of perceived controllability, perceived stability and perceived severity; finally, to verify the moderating effect of anthropomorphic level.

Non-functional failures reduce consumer recovery expectation compared to functional failures; perceived controllability and perceived severity play a mediating role in the impact of service failure types on recovery expectation; the influence of service failure types on perceived controllability and perceived severity is moderated by the anthropomorphism level.

The findings enrich the influence mechanism and boundary conditions of service failure types, and have implications for online enterprise follow-up service recovery and improvement of anthropomorphic design.

The purpose of this study is to examine how robotic anthropomorphism and personalized design may affect consumers' reactions to brands after service failure.

This study conducted two studies based on cognitive appraisal theory and artificial intelligence device acceptance theory. Study 1 explored the mechanisms by which the type of anthropomorphic design of the service robot (humanoid robot/nonhumanoid robot) influenced revisit intention after service failure through a one-factor between-subjects design based on a restaurant dining scenario. Study 2 was based on a hotel check-in scenario and explored the moderating effect of robot personalization design on the above mechanisms through a 2 (anthropomorphic design: humanoid robot/nonhumanoid robot) × 2 (personalized design: self-name/no name) between-subjects design.

Study 1 shows that consumers have higher performance expectations for nonhumanoid robots, leading to a higher tolerance for service failure, which in turn generates higher revisit intentions. Study 2 shows that consumers' performance expectations are significantly enhanced after custom naming of humanoid robots, so the serial mediation mechanism for the effect of robot anthropomorphic design on revisit intention does not hold.

This study extends the research of artificial intelligence device acceptance theory in the field of service failure and exploratively proposes an intervention mechanism for the negative effects of the anthropomorphic design of service robots.

Virtual try-on (VTO) technology with three-dimensional (3D) body scanning in a mobile application is a relatively new technique for selling custom-fit apparel. VTO involves scanning and measuring one's body and visualizing the fit of a garment on a 3D avatar. The purpose of this study is to explore consumers' experiences toward the custom-fit T-shirts and online mass customization (MC) services using the VTO technology found in online consumer reviews (OCRs).

A total of 297 OCRs were collected from the Amazon's Made for You site that uses VTO technology for the MC process. A qualitative content analysis, within a mixed method research process, was used to determine systematically the meanings within qualitative data with quantitative results. In the qualitative approach, combinations of two coding processes were employed, which were concept-driven (i.e., deductive/a priori) and data-driven (i.e., inductive/emergent) coding processes. In the quantitative approach, the prevalence of each coding in terms of its valence was calculated based on frequencies. Intercoder reliability reached 96 per cent.

In OCRs of customized apparel products and online MC services using VTO technology, consumers described expectations, perceived performance, dis/confirmation, dis/satisfaction, outcomes of dis/satisfaction and descriptive information. Those with expectations often expressed skepticism about the product and the MC process using VTO technology at the pre-consumption stage. In OCRs, they used four product dimensions and two service dimensions of perceived performance. Consumers had positive (negative) confirmation when the performance of the T-shirts and/or services worked better (worse) than their expectations. The OCRs also included dis/satisfaction with a product and/or service, its outcomes and descriptive information.

This study identified a resulting framework to identify the content in OCRs of the custom-fit T-shirts and online MC services that use VTO technology. This study extends the expectation confirmation theory by adding multiple dimensions (i.e., four product dimensions and two service dimensions) as well as more outcomes of dis/satisfaction (not limited to repurchase intentions). This study provides practical suggestions for online MC companies who are using or planning to use VTO technology on how to improve consumers' satisfaction with customized T-shirts using VTO technology.

This study aimed to identify the quality consumers expect from functional food. This study investigated the quality dimensions and indicators female consumers expect in functional food.

This study used a quantitative approach. Data were collected through a survey using a self-administered questionnaire from 149 women aged 17 years and over in the Greater Jakarta area. Data analysis consists of three stages: exploratory factor analysis (EFA), confirmatory factor analysis-structural equation modeling (CFA-SEM) and consumer expectation value analysis. Statistical Package for the Social Sciences (SPSS) and Lisrel software were used to assist the analysis.

The analysis results showed that women expect functional food products to fulfill the aspects of product presentation, product assurance, convenience, health benefits and safety and sensory characteristics. These five aspects are referred to as the expected quality dimensions. Twenty-one indicators can be used to measure the quality of functional food expected by women.

Other researchers can use this study to understand functional food female consumers' behavior. Furthermore, functional food companies can utilize it to measure consumers' expectations of their products' quality and performance.

This research is believed to be the first study to identify the dimensions of functional food quality expected by female consumers. Most existing research on the perceived quality of functional food measures functional food quality based on performance and ignored the differences in expectations between men and women.

Nowadays all luxury brands have their own websites, using them either as a communication and/or distribution tool. However, luxury consumers might still have different perceptions regarding these websites, as it can be seen as a loss of prestige or selectivity. This study aims to have a deeper understanding of luxury consumers’ perceptions of luxury brand websites by identifying a typology and defining the individual characteristics of the groups identified.

The research uses the opposition of personal and interpersonal luxury as theoretical framework and the semiotic square based on this semantic opposition. A qualitative analysis based on 42 semi-structured interviews has been conducted. The interviews have been analyzed and subjected to interpretive content analysis.

The analysis of the verbatims shows that the consumers’ motivations toward luxury consumption (luxury for self or personal, luxury for others or interpersonal, negation of luxury for self and negation of luxury for others) can explain consumer differences in terms of attitudes toward luxury brand websites. The four classes are characterized according to their positive and negative perceptions of e-commerce and interaction tools used in luxury brands websites and also their expectations.

This study defines guidelines for managers to develop luxury brand websites that correspond to their target.

The originality of this study lies in the use of the semiotic square to refine the analysis of luxury consumers’ attitudes and to make more precise contributions. It also relies on using the theory of personal and interpersonal luxury to understand consumers’ expectations toward luxury brands websites.

This study aims to investigate consumer perceptions of inauthenticity due to adulteration of a narrative brand ending by using the research context of the final season and ending of the television series, Game of Thrones.

Two data sets totalling 2,032 online comments detailing consumer reactions to the final season of Game of Thrones were analysed using thematic analysis and human interpretive analysis. The coding was an iterative and continuous process, and posts were returned to and re-examined to refine codes and groupings as the analysis progressed.

The results indicate consumers perceived the ending of the eighth and final season of the television series, Game of Thrones, did not meet their expectations and was not authentic due to rushed writing and illogical character and plot developments. Consumers judged this adulteration was so great that it was a moral violation and transgression. Consumers also sought to assign blame for the inauthenticity, which they attributed to the writers and showrunners, who became the subject of revenge behaviours.

This study indicates consumers of narrative brands, due to their strong emotional attachments to their characters and storyworlds, may perceive unexpected and extensive changes to them as moral violations and transgressions and thus inauthentic. Consumers establish the authenticity of a narrative brand by regularly scrutinising narrative and character development against their expectations as shaped by prior narrative content. Due to their emotional attachment, consumers may attempt to attribute blame for the inauthenticity. The findings have not been established in prior research, and inauthenticity in a narrative brand context is also explored for the first time.

The purpose of this study is to examine the effect of perceived value of recommended product on consumer’s e-loyalty, based on the proposition of expectation confirmation theory. Vendors’ reputation is tested as the mediator in the perceived value of recommended product and e-loyalty relationship, whereas shopping enjoyment is predicted as the moderator that conditions the perceived value of recommended product and e-loyalty relationship through vendors reputation.

Data were collected via an online survey platform and through a QR code. Partial least squares analysis, confirmatory factor analysis and structural equation modeling were used to verify the research proposed model.

The findings revealed that the perceived value of recommended product had a significant positive effect on E-loyalty; in addition, the perceived value of the recommended product and e-loyalty link was partly explained by e-shopper’s confidence in vendor reputation. Therefore, the study established that the direct and indirect relationship between the perceived value of the recommended product and e-loyalty was sensitive and profound to shopping enjoyment.

This study has established that the perceived value of a recommended product can result in consumer loyalty. This has successively provided the e-shop manager and other stakeholders with novel perspectives about why it is necessary to understand consumers’ pre- and postacquisition behavior before recommending certain products to the consumer.

The sharing economy is changing the way people use products and services, and the success of sharing-based apps like bicycle and automobile sharing has drawn a lot of interest across the world. The purpose of this research is to investigate the factors affecting the consumer's adoption of ride-sharing services.

With this aim, the current study integrates the Technology Acceptance Model (TAM) and Expectancy Confirmation Model (ECM) with a further extension of consumer trust and social norms. Using a survey-based research design, data were collected from 558 respondents using multi-stage convenience sampling on 5 point Likert scale. Confirmatory factor analysis is conducted followed by structural equation modelling using IBM AMOS-22.

The findings of the study report crucial determinants for the consumer's continuance intention and actual use of these services. Perceived usefulness, consumer satisfaction, trust and subjective norms were found positively associated with the continuous intention to use ride-sharing services, whereas perceived ease of use was found to be insignificant. This study also highlights antecedents for the consumer's trust towards these services and found reputation, propensity to trust as a significant contributor whereas structural assurance was found insignificant to establish the trust among the users.

The research on consumer adoption towards ride-sharing services are meagre and this study adds the value to the field by integrating TAM and ECM model with further extension of consumer trust and social norms and empirically test the proposed model.

This study aims to develop and test an integrative model that examines the effects of customization and perceived employee authenticity on customer delight, which in turn influences customers’ willingness to recommend (WTR) and willingness to pay a premium (WTPP) as outcomes in a hotel context. The moderating role of online review valence in this process is also examined.

This study adopts a 2 (customization: low vs high) × 2 (perceived employee authenticity: low vs high) × 2 (online review valence: negative vs positive) experimental design. A total of 409 US consumers were recruited and randomly assigned to a hotel check-in scenario. Partial least squares structural equation modeling was used to test the hypothesized relationships.

Findings confirmed the role of customer delight in mediating customization and employee authenticity on WTR and WTPP. In addition, perceived employee authenticity was a stronger driver of customer delight for consumers exposed to negative online reviews than for those exposed to positive reviews.

The findings provide useful guidance in designing efficient service strategies for generating a delightful customer experience. Hotel practitioners should provide customized services and manage employees in a way that helps them deliver authentic services that achieve customer delight. Understanding that customer expectations formed through online reviews play a significant role in service evaluations, hotel managers make an extra effort to monitor online reviews and manage customer expectations.

Although existing research suggests that customer delight plays an important role in positive consumer outcomes, there is still potential space to explore the theoretical mediational mechanisms underlying this effect and the moderating effect on this relationship between customer delight and consumer responses. This study contributes by testing the moderating impact of online review valence and the mediating impact of customer delight.