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Live streaming commerce has emerged as an essential strategy for vendors to effectively promote their products due to its unique content presentation and real-time interaction. This study aims to investigate the influence of viewer-streamer interaction and viewer-viewer interaction on consumer trust and the subsequent impact of trust on consumers' purchase intention within the live streaming commerce context.

A survey questionnaire was conducted to collect data, and 403 experienced live streaming users in China were recruited. Covariance-based structural equation modeling (CB-SEM) was used for data analysis.

The results indicated that viewer-streamer interaction factors (i.e., personalization and responsiveness) and viewer-viewer interaction factors (i.e., co-viewer involvement and bullet-screen mutuality) significantly influence trust in streamers and co-viewers. Additionally, drawing on trust transfer theory, trust in streamers and co-viewers positively influences trust in products, while trust in co-viewers also positively influences both trust in streamers and products. Furthermore, all three forms of trust positively impact consumers' purchase intentions.

This study enriches the extant literature by investigating interaction-based trust-building mechanisms and uncovering the transfer relationships among three trust targets (streamers, co-viewers and products). Furthermore, this study provides some practical guidelines to the streamers and practitioners for promoting consumers’ trust and purchase intention in live streaming commerce.

In public health emergencies, seeking confirmed cases’ activity trajectory information (CCATI) is crucial to the public’s efforts to combat the epidemic. The public can stabilize their sentiments and mitigate the risk of cross-infection by obtaining CCATI. We investigated the factors influencing users' intentions to seek CCATI to enhance the government’s risk communication capabilities and improve information platform services.

We analyzed how information ecological factors affect the intention to seek CCATI through perceived value. Data was collected from 429 Chinese citizens during the fourth wave of the coronavirus disease 2019 (COVID-19) pandemic. We used the structural equation model technology and bootstrap mediation effect test to examine the model.

Information understandability, information relevance, perceived severity and perceived vulnerability directly and positively affect the intention of seeking CCATI. While, the above relationships are also partially mediated by emotional value and functional value. Social support directly and negatively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value and functional value. Curiosity directly and positively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value. The relationship between the quality of the search service and the intention of seeking CCATI is not significant, instead, it is fully mediated by functional value. The influence effect of information relevance on the intention of seeking CCATI is the greatest, followed by perceived vulnerability. The mediating effect of functional value is higher than emotional value.

The findings may help governments enhance their risk communication capabilities and improve epidemic prevention and control measures, enhancing the appeal of information platforms.

We focused on CCATI, an area with limited scholarly attention. We analyzed CCATI-seeking factors using an information ecology theory, introducing perceived value as a mediator, thus offering novel perspectives and models.

Purpose of This Chapter: This study examines the relationship of ambidextrous leadership with employee voice behaviour, underscoring the intervening role of employee thriving.

Design / Methodology / Approach: This study proposes a conceptual framework based on an extensive literature review using the conservation of resource theory, social exchange theory, and the broaden-and-build theory of positive emotions.

Findings: This study demonstrates that employee thriving act as an underlying mechanism explaining the relationship between ambidextrous leadership and employee voice behaviour.

Research Limitations: Being a conceptual study, the proposed framework lacks empirical validation.

Practical Implications: Organizations should focus on leaders with flexible behaviours who understand situational necessities to adopt diverse leadership styles and contribute to employee thriving.

Originality: This is one of the first studies to propose the role of ambidextrous leadership in impacting and enhancing change in employee voice through employee thriving at work. By introducing a framework that delves into the unexplored territory of ambidextrous leadership, acting as a catalyst for enhancing employee voice via the lens of employee thriving. This study provides a fresh perspective and adds value to the evolving conversations around employee voice behaviour.

Male celebrities are increasingly being chosen to endorse female cosmetic brands by marketing managers, yet this practice has not received sufficient scholarly attention. This study aims to explore the dynamics of male celebrities endorsing cosmetic brands.

The study employs the netnography approach to collect data from an online community.

The study contributes to the marketing literature by providing a conceptual framework of male celebrities endorsing cosmetic brands, highlighting the key attributes that contribute to the effectiveness of these endorsements, the evolution of relationships between fans, celebrities and brands, the features of this dynamic relationship and the influence of male celebrity endorsements on fans’ purchase decisions.

This research sheds light on an emerging trend in the marketing industry and provides valuable managerial insights for marketers seeking to effectively use male celebrity endorsements to promote female cosmetic brands.

Research emphasizes the motivations underlying and potential harmful consequences of social media use, but there is little understanding of stigmas faced by individual social media users, particularly as they pertain to gender. The purpose of this study is to examine a unique stereotype related to men’s social media use.

Four experiments examine judgments of men based on how often they post on social media (frequently vs infrequently).

The authors find that posting frequently (vs infrequently) affects the perceived gender of men but not women. This frequent-posting femininity stereotype is explained by perceived neediness and holds regardless of whether posts are about others (vs the self) or whether posts are shared by influencers (vs ordinary users).

Future research should examine other stereotypes of social media users – including those pertaining to gender – and ways to mitigate such negative attributions. Researchers should examine how the frequent-posting femininity stereotype and other social media use stereotypes affect social media consumption and consumer well-being.

Managers should adjust consumer engagement strategies and restructure platforms to address the unique stigmas facing different consumer groups.

Providing insights into the dark side of social media, the authors investigate a unique domain – stereotypes about individual social media users. The findings of this study uncover an emasculating stigma against men who post often on social media, which may discourage men from online participation.

Artificial intelligence (AI) tools, namely ChatGPT, Copilot (Bing) or Gemini (Bard) chatbots, have brought very rapid repercussions at education level in general, especially in higher education. Several challenges are being presented to institutions, teachers and students, highlighting the way teachers teach and students learn, and significant transformations are expected in the short term due to the availability of this type of tools. This chapter aims to analyse and discuss how the new generative AI tools, which are accessible to all, can influence teachers' instructional methods and transform the format and the ways students learn. What are the main challenges, limitations and changes that we can foresee, considering the dangers and constraints of these new tools, regarding the teaching and learning processes of young adults in higher education. A case study was selected, using an exploratory questionnaire survey of undergraduate students, which was analysed using descriptive statistics. This study demonstrated that teachers, in student perspectives, are still far integrating IA in their pedagogical strategies, mainly focussing in the dangers and limitations and little in the potential. The aim was to contribute to assess how these new working tools can be an instrument that enhances critical thinking and active and transformative learning of young adults, when used with the minimisation of risks and errors. Furthermore, it is intended to reflect on appropriate AI educational policies as well as on the development of competences and digital literacy in the training of higher education students as global citizens.

The purpose of this paper was to examine consumer perceptions of aesthetic attributes of textile-based assistive devices (ADs) and the language used by consumers to express those perceptions and concerns. Previous investigations of user feedback for ADs have largely focused on functional attributes rather than aesthetics.

An interpretivist research philosophy was selected to investigate the meaning behind consumer perceptions and to understand their viewpoints on the aesthetic dimensions of ADs. Using product reviews for two ADs sold on Amazon.com as data, the researchers conducted qualitative data analysis through coding and interpretation of meanings behind reviews to determine consumers’ perceptions related to their ADs.

The authors identified consumer concerns linking to aesthetics evidenced as a multisensory integration of visual, tactile and olfactory cues. Consumer-preferred language used to address aesthetic preferences was found to supplement the literature. Aesthetic considerations were found to be impactful on avoiding stigma and encouraging or discouraging continued use of the devices.

Findings may contribute to the development of textile-based ADs with improved aesthetics to enhance user experiences. New ways of using consumer language to interpret user needs may assist in future research and design practice for consumer products.

The use of consumer product reviews as a rich source of user data is discussed in this paper. As previous research on assistive technology has largely focused on functionality, results of this analysis offer insight into consumers’ aesthetic judgments related to ADs and bring a sensory perspective to the research area.

The detrimental effects of air pollution on the continuity of corporations attract more and more attention in the economic and financial studies. Prior literature investigates the impact of air pollution on corporate financial performance. This study aims to extend this research area by exploring the role of corporate innovation and happiness as factors that mitigate the adverse effects of air pollution and moderate the relationship between air pollution and financial performance.

This study uses two-step system generalized method of moments models to analyze the data of 200 firms listed on Istanbul Stock Exchange over the period 2009–2022.

The results show that firms located in regions with higher air pollution are more likely to invest in innovation. In addition, firms that are more exposed to air pollution and have investments in research and development (R&D) have less ability to improve their financial performance compared to firms that have no investments in R&D. In a similar vein, although R&D has positive effect on financial performance, this effect diminishes in the presence of higher air pollution. The results also show that happiness has no significant moderating effect on the relationship between air pollution and financial performance.

The findings of this study related to the role of corporate innovation in determining the effect of air pollution on financial performance indicate that the costs of investment in R&D weaken the firm’s ability to mitigate the adverse impact of air pollution on financial performance, which provides important signals to policymakers to concentrate more on supporting investment in corporate innovation by providing the necessary facilities for firms to improve their innovative performance and decrease the costs of investment in innovation.

To the author’s knowledge, this research is the first to explore the influence of happiness on the air pollution–financial performance relationship. In addition, this study differs from most prior ones by examining how responding to air pollution through investment in innovation can moderate the association between air pollution and financial performance.

The purpose of this paper is to investigate whether air pollution has significant impact on corporate cash holdings and financial leverage.

The data of 199 firms listed on Istanbul Stock Exchange during the period 2009–2020 is analyzed by using pooled ordinary least squares and two-step system generalized method of moments models.

The results indicate that firms in regions with high air pollution tend to increase cash level. In addition, the positive effect of air pollution on cash level is stronger and more significant for environmentally sensitive firms and firms with low operational and distress risk. The results also show insignificant effect of air pollution on financial leverage.

Firms in regions with high air pollution should conduct proactive environmental protection procedures and enhance their eco-efficiency instead of holding excess cash that could negatively affect financial performance. In this context, policymakers should provide financial facilities to firms located in regions with high air pollution and that have low ability to finance environmental investments. On the other hand, the environmental laws and regulations introduced by regulatory authorities can enhance the economic development and firm performance by decreasing the adverse influences of air pollution on corporate financial policies.

To the best of the author’s knowledge, this research is one of few that examines the impact of air pollution on corporate cash holdings and financial leverage in emerging markets.

This study aims to investigate the relationships between the perceived neighborhood walkable environment (PNWE), neighborhood interaction (NI) and residents’ mental health, with a focus on examining differences among residents of different age groups.

Using an electronic survey questionnaire, data on PNWE, NI and mental health were collected from 1,159 residents across 205 communities in Shanghai, China. Our study utilized a structural equation modeling (SEM), employing the maximum likelihood estimation method. The structural equation model was fitted using the MPLUS software.

The mental health of young and middle-aged adults is generally poor, and they are at higher risk of depression than children and older adults. The effects of PNWE and NI on the mental health of residents varied among different age groups. As residents get older, their mental health is more affected by the PNWE. In addition, the influence of the PNWE on children and older adults’ mental health is direct and not mediated by NI. For young and middle-aged adults, the influence of the PNWE on their mental health needs to be mediated by NI.

This study marks the first examination of the relationship between PNWE, NI and mental health among different age groups of residents in China. The findings of this research can assist policymakers in gaining a deeper understanding of the underlying mechanisms by which PNWE affects mental health. Furthermore, it can contribute to the development of more targeted walkable environment designs aimed at enhancing mental health among various age groups.