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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.

When a company practices greenwashing, it violates consumers' expectations by deliberately deceiving them about their environmental practices or the benefits of their products/services. This study investigated the effects of greenwashing on corporate reputation and brand hate. Furthermore, this study explored the mediating effects of perceived environmental performance and green perceived risk.

A survey design using cross-sectional primary data from 420 Portuguese consumers who identified and recognized brands engaged in greenwashing was employed. The proposed hypotheses were tested using structural equation modeling techniques.

This study's findings show that consumer perceptions of greenwashing may damage brands. The results show that greenwashing has a negative effect on corporate reputation through perceived environmental performance and green perceived risk. Additionally, greenwashing has a positive direct effect on brand hate and a negative effect on green perceived risk. Therefore, reducing greenwashing practices can improve consumers' perceptions of corporate environmental performance, buffer green perceived risk, and ultimately enhance corporate reputation. This can lead to positive relationships with customers.

Based on signaling and expectancy violation theories, this study develops a new framework highlighting the detrimental effects of greenwashing on brands. The combination of these theories provides the right framework to understand how greenwashing may lead to extreme feelings like brand hate and negative perceptions of corporate reputation, thus advancing the current research that lacks studies on the association between these constructs.

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 paper aims to empirically investigate the typologies of phygital (synaeresis of “physical” and “digital”) customer experiences (CXs) that can arise in high-tech retail based on the intensity of consumers' responses and reactions to the stimuli triggered by firms. Moreover, it explores how firms attempt to shape the architecture of the phygital CXs. Notably, this article identifies the flexible and agile strategies implemented by firms to enhance the several typologies of phygital CXs, with the intention of better exploiting physical and digital features to respond to the differences in customers' needs, preferences and expectations.

This study performs an in-depth exploratory single-case study based on semi-structured interviews with the customers, managers and employees of the Webidoo Store.

This study develops a framework illustrating the main typologies of ordinary (“hostile”, “controversial” and “disappointing”) and extraordinary (“passionate” and “explorative”) CXs that can arise in phygital contexts. Also, it identifies some key flexible and agile strategies (“decompressive strategy”, “mentoring strategy”, “prompting strategy” and “entertaining strategy”) that companies might follow to adjust their offerings and respond quickly to the different forms of phygital CXs to create a more compelling experience tailored to customers' needs, preferences and expectations.

Among the study's limitations are the single-case study methodology and a specific setting like the Italian one. As a result, future studies could broaden the study to include other research contexts and countries. The paper offers significant managerial insights based on the many forms of CX across ordinary and extraordinary CXs. Thus, it provides critical takeaways for businesses to meet customer demand.

This paper analyzes the different typologies of ordinary and extraordinary CXs that could occur in phygital contexts based on the intensity of consumers' responses and reactions to firms' stimuli. Also, it explores how firms attempt to shape the architecture of the phygital CXs through flexible and agile strategies. From this paper, managers and decision-makers can reflect on successful strategies they could use to affect the stimuli to which customers respond in an agile manner, thus enhancing phygital CXs.

Online shoppers feel insecure due to the various unethical practices of e-tailers. It is, therefore, crucial for online retailers to alleviate customer concerns. Extant literature indicates that country-of-origin (COO) cues influence consumer perception. A relatively underexplored phenomenon in an emerging market context, the COO image of the online retailer, i.e. a foreign-origin online retailer (FOOR) or an Indian-origin online retailer (IOOR), needs validation. The current study investigates customer expectations of online retailers' ethical behaviour against the backdrop of online retailer-based signals in emerging markets.

The researchers floated an online questionnaire using a seven-point Likert scale. The authors sought recipient responses in Google Forms shared via e-mails and social media connections. The authors analysed 1,018 useable responses using partial least square structural equation modelling (PLS-SEM) in Smart PLS 3.

The empirical study examined the influence of the consumer perception of ethics of online retailers (CPEOR) and COO on consumer purchase intention. It validated the proposed research model. The research findings inform that the CPEOR and the COO influence purchase intention through the mediation effects of trust and satisfaction. Results indicate that privacy, security, non-deception, fulfilment, customer service, FOOR and IOOR strongly predict consumer trust. In contrast, privacy, non-deception, fulfilment, customer service and FOOR strongly predict consumer satisfaction. However, security and IOOR did not influence consumer satisfaction.

The study results have theoretical and practical implications for academic researchers and online retailing managers. Future studies can validate the model in different geo-demographic scenarios and e-commerce settings.

The study enriches the extant literature on CPEOR in the Indian context. This study is pioneering work examining consumer purchase intention by adding the COO construct to the CPEOR model.

M-wallets have emerged as one of the most important financial innovations of the 21st century, enabling users to carry digital cash by securely storing payment methods on their mobile devices. However, the continued use of m-wallets varies among people for several reasons. This study used the technology continuation theory (TCT), gamification and trust factors to examine the variables affecting consumers' intentions to continue using mobile wallets.

The SmartPLS partial least squares software was used to analyze data from 431 m-wallet users in Vietnam using the structural equation modeling technique.

The data revealed that the research model can predict users' intentions to continue using mobile wallets. TCT constructs demonstrated strong exploratory power in explaining consumer satisfaction and attitudes towards m-wallets. Furthermore, the study confirmed the direct effect of the perceived effectiveness of gamification on perceived ease of use and attitude, as well as its indirect effect on consumers' continued use intentions of mobile wallets via attitude. In addition, the trust negatively influenced consumers' intentions to continue using m-wallets.

The findings of this study can help researchers, practitioners and policymakers improve m-wallet design, development and adoption, as well as advance financial technology and define the future of digital payments in terms of consumer attraction, engagement and financial inclusion.

Based on TCT theory, this study enriches m-wallet research by examining two important factors, gamification and trust, and thus provides insights into how to improve consumers’ intentions to continue using m-wallets in developing countries. This study offers timely insights into theory and practice regarding these factors. It therefore paves the way for researchers and practitioners to learn how easy, enjoyable and secure the end-user experience should be to keep users engaged with m-wallets.

As live streaming becomes a widely used online sales mode, previously content-centred anchors are attempting to switch to e-commerce live streaming. The purpose of this research was to explore the mechanisms that prompt consumers to stay or leave after content anchors transfer to live e-commerce broadcasts. In addition, we explored the factors affecting consumption from the perspectives of anchors, consumers and the external environment.

We distributed questionnaires to a group of fans who had experienced the transition of content anchors to live streaming and received back 375 valid questionnaires. Using psychological contract theory, we constructed a theoretical model for the scenario in which content anchors transition to live e-commerce broadcasting and analysed the data using partial least squares structural equation modelling (PLS-SEM).

The results show that circle culture, mainstream culture, initial trust and live streaming content all positively influenced consumers’ attitudes, whilst consumers’ past shopping experiences negatively influenced consumers’ attitudes. The personal charm of the content anchors did not have a significant effect on consumers’ attitudes. Additionally, we found that only anchors with a significant circle culture and good trust levels amongst fans were able to transition to live e-commerce streaming successfully.

This study extends the application of psychological contract theory to the field of e-commerce and describes the transformation of different types of psychological contracts. The paper’s conclusions provide a reference for decision-making and the implementation of transformation by content-based anchors to live streaming, helping them to coordinate their relationships with fans more effectively.

Although the effects of both news sentiment and expectations on price in financial markets have now been extensively demonstrated, the jointness that these predictors can have in their effects on price has not been well-defined. Investigating causal ordering in their effects on price can further our understanding of both direct and indirect effects in their relationship to market price.

We use autoregressive distributed lag (ARDL) methodology to examine the relationship between agent expectations and news sentiment in predicting price in a financial market. The ARDL estimation is supplemented by Grainger causality testing.

In the ARDL models we implement, measures of expectations and news sentiment and their lags were confirmed to be significantly related to market price in separate estimates. Our results further indicate that in models of relationships between these predictors, news sentiment is a significant predictor of agent expectations, but agent expectations are not significant predictors of news sentiment. Granger-causality estimates confirmed the causal inferences from ARDL results.

Taken together, the results extend our understanding of the dynamics of expectations and sentiment as exogenous information sources that relate to price in financial markets. They suggest that the extensively cited predictor of news sentiment can have both a direct effect on market price and an indirect effect on price through agent expectations.

Even traditional financial management firms now commonly track behavioral measures of expectations and market sentiment. More complete understanding of the relationship between these predictors of market price can further their representation in predictive models.

This article extends the frequently reported bivariate relationship of expectations and sentiment to market price to examine jointness in the relationship between these variables in predicting price. Inference from ARDL estimates is supported by Grainger-causality estimates.

Prior research examining cultural effects on customer service expectations has primarily used more generic Western cultural theory on an aggregate scale or with only a single variable to draw conclusions on a customer’s underlying reasoning for buying a service. This study aims to focus on culturally distinct clusters within non-Western nations, specifically exploring within-cluster differences in service expectations within the Confucian Asia cluster.

This study developed a measurement model of Chinese cultural values and service expectations, consisting of a three and five-factor structure, respectively. Data from a sample of 351 diners were analysed using SmartPLS software. The data was compared with similar studies within the Confucian Asia cluster to understand the culture effect on service expectations and within-cluster variations.

The findings underscore the varying importance of cultural values in shaping customer service expectations, emphasizing their relative, rather than equal, significance. The study provides insights into potential within-group differences in customer service expectations within the same cultural cluster – without losing sight of the fundamental cultural heterogeneity of the Confucian culture.

Managers should leverage the distinct cultural values of their operating country to gain insights into diverse customer groups, predict their behaviours and meet their needs and expectations.

This study offers valuable insights to both service management scholars and practitioners by focusing on culturally distinct clusters of non-Western nations and exploring their effects on variation in service expectations within these clusters.

Digital platforms for the provision of food information-based services (FISs) represent a consolidated business with increasing revenue streams for entrepreneurs. Such platforms have transformed and clarified the nature of uncertainty and ambiguity inherent in the traditional food sector entrepreneurial processes. Anyway, a clear understanding of the value of digital platforms for FISs is not yet consolidated in the literature. With this paper, the authors try to fill this gap through a critical literature review of scientific research that combines knowledge on food consumer's behavior and user's knowledge behavior.

The authors carried out a critical literature review of scientific research combining knowledge of food consumer's and food information user's behavior. This allowed the identification of the main value components of FISs.

The authors propose a multidimensional framework for modelling the value proposition of digital platforms for FISs. Three main value dimensions have been identified: relevance, credibility, and accessibility. These dimensions concur with the consumer's perceived value of consumers in terms of benefits increase and cost reduction.

The research was intended to shed light on aspects characterizing consumers' perception of food information value. The authors put in evidence that the informational perspective of food communication is under-investigated. This study attempts to provide a holistic overview of the dimensions impacting on consumers' perception of the value of information for food consumers, opening new research perspectives.

The framework represents a tool for positioning food information offerings on the market, with the objective to analyze the value proposition of FISs according to a consumer perspective and to understand gaps of current offering of FISs. Moreover, it may support the design of a new generation of digital platform for food information provision, which would respond to consumers' expectations and information needs, highlighting emerging business opportunities for digital entrepreneurs.

Few research works provide a characterization of value proposition of digital platforms providing food information to consumers. In particular, to date, literature lacks of a holistic overview of the dimensions influencing consumer's perception of the information value of food communications.