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This study aims to examine the moderating effect of culture on the phrase expression type that affects product attitude. Moreover, to identify the mechanism by which these effects occur, the authors investigated the mediating role of processing fluency, and examined how such a mediating effect of processing fluency varies with number of alternatives.

Three experiments were conducted to verify the hypotheses presented in this study. Experiment 1 tested the effects of phrase expression type and culture on product attitude; a two-factor design (phrase expression type: explicit expression vs implicit expression) was applied, and culture was classified according to nationality. Experiment 2 tested the mediating effect of processing fluency on product attitude, using the same approach as Experiment 1. Experiment 3 tested the moderated mediating role of the number of alternatives, a between-group experimental design of 2 (phrase expression: explicit expression vs implicit expression) × 2 (number of alternatives: many vs few) was applied.

Experiment 1's results demonstrate that product attitude is more favorable when implicit expressions are used for Asians, whereas it is more favorable with explicit expressions for Westerners. Experiment 2 verifies that the interaction effect between phrase expression type and culture on product attitude is mediated by processing fluency. Experiment 3's results demonstrate that the number of alternatives moderates the mediating role of processing fluency for Westerners, but has no effect on the processing fluency for Asians.

This study provides novel insights and expands the field of study of phrase expression types by separating the ambiguous boundaries among phrase presentation types. Furthermore, this study provides practical guidelines for establishing effective advertising strategies for companies by suggesting suitable phrase expression types based on culture.

During exposure to new cultures, immigrants face numerous life changes and challenges, which negatively affect mental health, yet environmental supports may address these concerns. This study aims to examine how neighborhood quality, acculturation and acculturative stress are associated with immigrants’ mental health.

The sample consisted of 511 Asian immigrants who were born in their country of origin and immigrated to the USA. Path analysis using analysis of moment structures (version 22.0) was conducted to test the hypothesized model.

The results from the path analysis indicated that perceived neighborhood quality and acculturative stress had direct effects on mental health among Asian immigrants. The study also found a significant indirect pathway to mental health where more favorable perceptions of neighborhood quality were associated with higher levels of acculturation and lower levels of acculturative stress, which, in turn, resulted in better mental health.

The results of the study highlight the importance of improving neighborhood quality as a means by which to facilitate cultural adjustment/adaptation to US culture and thus, improve mental health among Asian immigrants. In addition, the authors suggested considering cultural origin in designing health programs and/or policies for Asian immigrants, which could promote mental health among Asian immigrants. Based on the results of the model, this study produced insightful information and suggestions on how to improve Asian immigrants’ mental health more effectively.

This study examines how users' multidimensional representational fidelity factors affect sociability and cyberself engagement in the Metaverse platform; that is, how they interact with newly defined self-images as their personas in the environments. It investigates how representational fidelity serves platform users to perform social roles and increase their sociability by establishing a new cyberself, thus influencing continuous platform use.

This study surveyed 314 users of the Metaverse platform Horizon, where users can create a virtual agent avatar, meet people in the same online environment in real time, and interact with a sense of three-dimensional immersion. Data were analyzed using partial least squares regression models.

User socialization significantly influenced the intention to use the Metaverse platform. Representational fidelity was a crucial variable for sociability, and activity representational fidelity was the most influential aspect among the four other elements. Platforms should consider how to enable users to create and use activities that faithfully represent their personas.

The novelty of this study is that it introduces representational fidelity based on representation theory into the context of virtual persona in the Metaverse platform. This study extended representational fidelity to the socialization perspective by utilizing the integrated model of user satisfaction and the technology acceptance model. Through the results, this study emphasized that users' sociability significantly influences their intention to use the Metaverse platform. Finally, this study provides a feasible guideline on how practitioners could design and strengthen their platforms so that users can represent their cyberselves faithfully.

This study proposes a conceptual model to comprehensively understand how sports fans perceive and accept smartphones and applications in a sport consumption context by developing a series of propositions. Theoretically based on the Technology Acceptance Model (TAM) and the Sport Website Acceptance Model (SWAM), this study provides fundamental groundwork to better conceptualise sports fans' decision making processes involving the latest technology used to consume sport.

This study aims to propose and validate a model for e-Learning success based on students’ experiences in the “new normal.” To achieve this goal, this study focused on answering three research questions: (1) What are the students’ experiential factors that impact e-Learning? (2) How do these experiential factors affect e-Learning success? (3) In what ways does a multimethod provide a comprehensive perspective and an in-depth understanding of students’ e-Learning experiences in the new normal?

This study applied a mixed-methods sequential approach using exploratory, confirmatory and complementary studies. First, this study undertook a text-mining exploratory analysis of the review data to extract e-Learning topics. Then, based on the Information Systems (IS) success model, this study identified an integrated framework drawn from the results of the text-mining analysis. Second, this study proposed an e-Learning, experience-based success model and corresponding hypotheses and conducted a confirmatory study with surveys to validate the model. Third, this study conducted in-depth interviews to better identify the phenomenon of interest.

The five factors extracted from the first stage are system quality, lecture content, teaching quality, online interaction and achievement. This study subsequently confirmed the significant relationships between the e-Learning success factors in the second stage based on the IS success model. Finally, a complementary study identified the importance of interactivity for e-Learning success in the new normal.

To the best of the authors’ knowledge, this paper is the first to develop an e-Learning success model using a comprehensive mixed-methods approach.

This research created a theoretical framework based on theory of consumption values (TCV) and theory of perceived risk (TPR) to investigate the determinant factors behind consumers' intention to use health and fitness apps during the COVID-19-related lockdown. In addition, based on selectivity hypothesis theory (SHT), this study also explored how gender differences moderate the relationships between the determinants and consumers' behavioral intention.

A total of 613 respondents completed a self-reported online questionnaire. Structural equation modeling was conducted to test the role of potential determinants in influencing consumers' behavioral intention. Hierarchical multiple regression was performed to examine the moderating effect of gender.

The findings of this research revealed that physical appearance, general health, enjoyment, affiliation and condition have positive influences on consumers' behavioral intention, while privacy risk and security risk exert negative impact on consumers' behavioral intention. More importantly, the moderating results indicated that only affiliation, privacy risk and security risk have stronger influences on female, while other predictors showed the same effects on both genders.

Fitness providers should embrace health and fitness apps as a new contactless tool to offer services during and after the COVID-19-related lockdown. Fitness providers and app developers need to focus more on the utility and quality of their health and fitness apps. In addition, they should add more gamification elements to health and fitness apps because these elements could increase consumers' hedonic experience especially during the lockdown. Third, the security systems in health and fitness apps should be continuously updated to decline privacy risk during and after the COVID-19-related lockdown. Lastly, when female consumers are targeted during the lockdown, fitness providers should make more efforts to imbue health and fitness apps with more social features and improve the level of security.

Although the importance of contactless technologies has been highlighted ever since the beginning of the COVID-19 pandemic, there has been very little research on the usage of health and fitness apps during the lockdown based on TCV and TPR. Meanwhile, the moderating role of gender differences in this context remains underexplored. This research is one of the early attempts to fill in these gaps. The findings of this study will enhance the theoretical framework regarding the acceptance and use of health and fitness apps; it also challenges the generalizability of SHT in the context of the COVID-19-related lockdown. Moreover, several important implications for the health and fitness industry during and after the COVID-19 pandemic were suggested.