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This study aims to examine in which circumstances consumer’s self-congruity moderates the indirect influence of consumer-based brand equity (mediating role) in the relationship between firm-created and user-generated social media content and intention to purchase fashion products.

In this study, the authors carried out an online survey with social media users of fashion brands and collected data from 622 participants across two samples to investigate whether consumers’ perceptions of equity of fashion brands mediate the relationship between social media brand-related communication created by both firms and users and the intention to buy the fashion brands. The indirect relationship is further moderated by self-congruity.

The results indicate that brand equity mediates the relationship between social media communication and purchase intentions of fashion products, and self-congruity moderates the relationship between social media communication types and purchase intentions, such that higher/lower levels of self-congruity strengthen/weaken the impact of social media communication on purchase intentions.

This study contributes to the business and marketing literature by exploring how social media communication, branding and fashion align with the individual’s self-concept and buying behaviour.

In important interpersonal service interactions with a frontline employee (FLE), consumers at times fail to carry out their share of responsibility in the execution of the service, resulting in a situation of “consumer created emergency”. This might defeat the consumer's goal of availing the service (termed as consumer failure). This study explains the role of employee's hope in managing consumer failure in the situation of consumer created emergencies.

Hypotheses were tested in three experiments that simulated service emergency across a general printing service situation and a travel service situation.

The study shows that: (1) FLE hope has a positive effect on consumer satisfaction, and is mediated by the consumer's assumed effort by the FLE; (2) the effect of FLE hope on consumer satisfaction changes with changing levels of consumer hopefulness about the service outcome; (3) despite situation of consumer created emergency, consumer failure results in low consumer satisfaction due to attribution error and (4) external attribution by the FLE could not significantly rectify consumer's attribution error and hence could not alleviate consumer dissatisfaction.

The study suggests relevance and pathways of managing emotions and attributions of consumers and FLEs for superior performance outcomes.

The study theorizes and tests the role of hope, which is an important positive emotion during emergencies because frontline service settings have heretofore predominantly focused on managing negative traits and outcomes.

Regarding research on authenticity perception, this paper aims to pose the following questions: In different cultural regions, what are the different authenticity elements of old towns from a tourist perspective? What is the difference in authenticity perception in different cultural regions? How does the authenticity perception of old towns change in the tourismification process?

Combining eight cultural regions in China, this study focuses on 155 old towns to discuss the differences between authenticity perception of various old towns in different cultural regions and how the interactions between tourists and local places influence the perception of authenticity, with 11,387 user-generated photographs applied to interpret authenticity perception.

The study shows that the authenticity perceived by tourists varies greatly between farming and pastoral cultural regions; after authenticity loss, old towns with a long history of tourismification regain authenticity in tourists’ perception.

The findings could serve as a reference for tourism development and authenticity protection of old towns. Furthermore, the study explores a creative research method and theoretical framework for regional authenticity studies, which is significant in a global context. In the process of globalization, the implications of this study, including differences in authenticity perception within various cultural regions, will also be significant globally.

In human action recognition based on wearable sensors, most previous studies have focused on a single type of sensor and single classifier. This study aims to use a wearable sensor based on flexible sensors and a tri-axial accelerometer to collect action data of elderly people. It uses a statistical modeling approach based on the ensemble algorithm to classify actions and verify its validity.

Nine types of daily actions were collected by the wearable sensor device from a group of elderly volunteers, and the time-domain features of the action sequences were extracted. The dimensionality of the feature vectors was reduced by linear discriminant analysis. An ensemble learning method based on XGBoost was used to build a model of elderly action recognition. Its performance was compared with the action recognition rate of other algorithms based on the Boosting algorithm, and with the accuracy of single classifier models.

The effectiveness of the method was validated by three experiments. The results show that XGBoost is able to classify nine daily actions of the elderly and achieve an average recognition rate of 94.8 per cent, which is superior to single classifiers and to other ensemble algorithms.

The research could have important implications for health care, including the treatment and rehabilitation of the elderly, and the prevention of falls.

Instead of using a single type of sensor, this research used a wearable sensor to obtain daily action data of the elderly. The results show that, by using the appropriate method, the device can obtain detailed data of joint action at a low cost. Comparing differences in performance, it was concluded that XGBoost is the most suitable algorithm for building a model of elderly action recognition. This method, together with a wearable sensor, can provide key data and accurate feedback information to monitor the elderly in their rehabilitation activities.

The purpose of this paper is to investigate university students’ WeChat usage during the COVID-19 pandemic lockdown in relation to the mediating role of online self-disclosure on their quality of friendship and well-being. A model is proposed to explain how students’ interactions occur during the lockdown and the mediatory role which self-disclosure plays in influencing their socio-psychological markup.

The research model was tested empirically through a survey conducted online with 600 research participants, comprising of university students in China.

Results in structural equation modeling show that WeChat interaction significantly correlates with the quality of friendship, online self-disclosure but not significantly correlates with well-being, but an indirect relationship was found out in the mediation analysis. There is also a significant relationship between online self-disclosure, quality of friendship and well-being. Mediation analysis shows that online self-disclosure mediates the relationship between interactions on WeChat and quality of friendship; it also mediates the relationship between WeChat interaction and well-being. In all, the results achieved in this study will significantly help provide more insights in comprehending the nuances attached to some socio-psychological aspects of WeChat and how its usage affects people during the period of crisis.

Theoretically based investigation of WeChat usage among university students and its relationship with online self-disclosure, quality of friendship and well-being is still quite scarce, thereby underscoring the needs and significance of a theoretically based study in this regard. This study tested the credibility and validity of the proposed model in the context of the recent COVID-19 pandemic lockdown in China, which is one of the first in recent times.

The public's trust in the authorities has a great impact on people's perception and cognition on development of different types of urban transport infrastructure projects (UTIPs). Given the importance of public acceptance for the efficient construction and operation of UTIPs, this study aims at investigating the personal and environmental factors that influence public acceptance behavior from the perspective of stakeholder management.

Based on social cognitive theory (SCT), this study explores the multiple dimensions of social trust on public acceptance in the development of UTIPs by a comparative case study. Two types of UTIPs, a metro railway and a bridge in the Wuhan City, China, were selected as cases, with a questionnaire distributed among the public to collect their sense of trust towards the development of these projects. The data were analyzed through structural equation modeling (SEM).

This study reveals that social trust positively influences public acceptance, directly or indirectly through perceived benefit and -risks and self-efficacy. However, the emphasis on social trust about competence and integrity of the authorities varies with the types of projects. Self-efficacy worked as the “mirror of trust” reflecting people's attitude towards social trust in the authorities on their ability and morality.

The value of the paper lies in discussing social trust from multiple dimensions in the field of urban infrastructures, which provides new insights into specific mechanisms for shaping public acceptance in project management towards the development of UTIPs.

Hospitality is one of the industries severely impacted by the COVID-19 pandemic. It is vital to comprehend how to help the workforce in this service sector grow resilient through such a crisis. This paper aims to unpack the role of employer event communication in promoting hotel workers’ resilience.

The data were garnered from 462 hotel workers who were on unpaid leave or layoff during the hotel shutdown.

The results unfolded the positive link between employer event communication and hotel workers’ resilience, for which core beliefs examination served as a mediation mechanism. Family support was found to moderate the effect of employer event communication on core beliefs examination.

The findings indicate to hospitality organizations that in face of a crisis such as the COVID-19, their employee resilience can be activated if they implement event communication activities. They should further realize that their support should go hand in hand with family support in fueling employee resilience from the crisis.

This study advances the understanding of how and when to promote resilience among hotel workers during a pandemic crisis.

The present study investigates the role of “Transformational Leadership (TFL)” on employees' work engagement and its effect on their “Productivity” and “Extra-Role Customer Service” behaviors. In doing so, the present study examines the mediating role of two crucial variables, namely the creation of a “Service Climate” and the role of “Trust” that employees show toward their managers. Last but not least, this research examines the potential role of High Performance Work Systems (HPWS) as a moderator.

Partial Least Squares Structural Equation Modeling (PLS-SEM) was used on a sample of 459 customer-contact employees across thirteen 4- and 5-star Greek hotel organizations.

This study reveals the mechanism through which “TFL” impacts employees' productivity. Specifically, “TFL” first impacts employees' “Trust” toward their managers and helps toward creating a “Social Climate”. In turn, both “Trust” and “Social Climate” directly impact employees' “Work Engagement” who respond by showing increased “Productivity” and by exhibiting “Extra-Role Customer Service” behaviors. Nevertheless, the role of HPWS as a moderator was not confirmed.

The present study underscores the need for hotels' management to pay the required attention on creating an employment relationship based on “Trust”, as well as on creating a “Service Climate” in order for their employees to become work engaged and highly productive.

This is among the first studies that examine the “TFL” effects on employee outcomes in the Tourism and Hospitality sector, during the COVID-19 era.

This study aims to explore the issue of residential price in Malaysia from a supply-side perspective. The views are directly obtained from medium and small-scale developers in Malaysia.

We used the semi-structured interview for analysis purpose. The samples are from property developers (medium and small-scale developers) and a single respondent from the Malaysian National House Buyers Association. We used the judgmental sampling method to choose respondents for this study. The interview results went through content analysis in order to derive common themes, resulting in the identification of four main themes.

First, developers view that the residential market is growing at a good pace, albeit slowly. However, the issue of unaffordability and construction costs remains to haunt the progress of property development in Malaysia. Second, from supply-side perspectives, there are several main reasons why the residential prices in Malaysia are uncontrollable: (1) costs of construction, (2) taxes, (3) existing units, (4) location and (5) urbanization. The third theme is the government support in catering to the needs and wants of middle- and lower-income earners. Most respondents agreed that the government has been providing low-cost houses supported by various incentives. Finally, on price control strategies for residential units, recommended suggestions are as follow: embracing different methods of construction styles, promote the uses of local materials instead of relying on imported materials, continuously review rules and regulations, provide more incentives and to build partnerships between the government and private companies on affordable housing projects.

The research is expected to present solid findings and claimsseveral significant contributions, especially policy-wise. We believe this contribution will enrich the existing literature on residential market. The present study is also predicted to produce noteworthy findings to all stakeholders in the real-estate industry, such as potential home buyers and existing house owners to housing developers, marketers and government policy regulators, as well as academic institutions.

This study is expected to enrich the existing literature available in the context of real-estate finance such as property price and property policy in emerging economies like Malaysia. One distinguishing factor which differentiates this study from others in the literature is the feedbacks obtained from medium and small-scale developers, therefore deemed to be more solid and reliable. The current research in real-estate finance is mainly focused on empirical analysis and we believe this study will offer a breakthrough view on the matter of residential market in Malaysia.

The paper examines the impact of COVID-19 on bank stock returns over various time scales and frequencies for 36 countries. Moreover, the authors look at the governments' responses to the corona crisis and examine its impact on bank stock returns.

The paper applies continuous wavelet transformation to obtain robust estimates of the co-movement (coherency) between confirmed cases and bank stock returns over time and at different time scales. Furthermore, the authors apply fixed effects panel regression to examine the response of bank stocks to domestic COVID-19 policies.

The results indicate that the number of confirmed COVID-19 cases negatively impacts bank stock returns during different waves of the pandemic in the medium-run. However, there is only little dependence in the very short-run. Moreover, bank stock returns positively react to domestic COVID-19 polices. This demonstrates that governmental interventions not only reduce the spread of COVID-19 but are also able to thereby calm financial markets.

The application of wavelet methods to the field of economics and finance is relatively recent and allows the distinction between short-term and long-term effects. Standard econometric methods, in contrast, only operate within the time domain. This paper combines wavelet methods with conventional econometrics to answer the research question.