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Road traffic emissions are generally believed to contribute immensely to air pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been fully investigated. This paper aims to investigate the effects traffic data set have on the performance of machine learning (ML) predictive models in AQ prediction.

To achieve this, the authors have set up an experiment with the control data set having only the AQ data set and meteorological (Met) data set, while the experimental data set is made up of the AQ data set, Met data set and traffic data set. Several ML models (such as extra trees regressor, eXtreme gradient boosting regressor, random forest regressor, K-neighbors regressor and two others) were trained, tested and compared on these individual combinations of data sets to predict the volume of PM_2.5, PM₁₀, NO₂ and O₃ in the atmosphere at various times of the day.

The result obtained showed that various ML algorithms react differently to the traffic data set despite generally contributing to the performance improvement of all the ML algorithms considered in this study by at least 20% and an error reduction of at least 18.97%.

This research is limited in terms of the study area, and the result cannot be generalized outside of the UK as some of the inherent conditions may not be similar elsewhere. Additionally, only the ML algorithms commonly used in literature are considered in this research, therefore, leaving out a few other ML algorithms.

This study reinforces the belief that the traffic data set has a significant effect on improving the performance of air pollution ML prediction models. Hence, there is an indication that ML algorithms behave differently when trained with a form of traffic data set in the development of an AQ prediction model. This implies that developers and researchers in AQ prediction need to identify the ML algorithms that behave in their best interest before implementation.

The result of this study will enable researchers to focus more on algorithms of benefit when using traffic data sets in AQ prediction.

Fact-checking is a process of seeking and displaying facts to confirm or counter uncertain information, which reduces the spread of fake news. However, little is known about how to promote fact-checking posts to online users on social media. Through uncertainty reduction theory and message framing, this first study examines the effect of fact-checking posts on social media with an avatar on online users' trust, attitudes, and behavioral intentions. The authors further investigate the congruency effects between promotional message framing (gain/loss/neutral) and facial expressions of the avatar (happy/angry/neutral) on online users' trust, attitudes, and behavioral intentions in the second study.

The authors conducted two studies and statistically analyzed 120 samples (study 1) and 519 samples (study 2) from Facebook users.

Results showed that including the neutral facial expression avatar in fact-checking posts leads to online users' greater trust and more positive attitudes. Furthermore, the congruency effects between loss message framing and the angry facial expression of the avatar can effectively promote online users' trust and attitudes as well as stronger intentions to follow and share.

This study offers theoretical implications for fact-checking studies, and practical implications for online fact-checkers to apply these findings to design effective fact-checking posts and spread the veracity of information on social media.

This study aims to explore the enabling and suppressing effects of leader affiliative and aggressive humor on employee knowledge sharing form the lens of emotional contagion process, which provides theoretical reference for the applications of different leader humor style, thereby enhancing employee knowledge sharing.

This study collected three waves of data and surveyed 379 employees in China. Regression analysis, bootstrapping and latent moderation structural equation were adopted to test the hypotheses.

Leader affiliative humor has a positive impact on employee knowledge sharing, whereas leader aggressive humor has a negative impact on employee knowledge sharing. Positive emotion plays a mediating role between leader affiliative humor and employee knowledge sharing, and negative emotion plays a mediating role between leader aggressive humor and employee knowledge sharing. Moreover, supervisor–subordinate Guanxi moderates the relationship between leader affiliative humor and positive emotion, and between leader aggressive humor and negative emotion, respectively.

This study not only adds to the knowledge sharing literature calling for the exploration of antecedents and mechanism of employee knowledge sharing, but also contributes to our comprehensive understanding of the suppressing and enabling effects of leader humor style on employee knowledge sharing. Besides, this study also unpacks the dual-path mechanism and boundary condition between leader humor style and employee knowledge sharing and augments the theoretical explanations of emotional contagion theory between leader humor style and employee knowledge sharing.

The purpose of this study is to test whether equity theory (ET) – which posits that individuals compare their outcome/input ratio to the ratio of a “comparison other” and classify individuals as Benevolent, Equity Sensity, and Entitled – applies to the modern workplace of global virtual teams (GVT), where work is mostly intellectual, geographically dispersed and online, making individual effort nearly impossible to observe directly.

Using a sample of 1,343 GVTs comprised 6,347 individuals from 137 countries, this study tests three ET’s predictions in the GVT context: a negative, linear relationship between Benevolents’ perceptions of equity and job satisfaction in GVTs; an inverted U-shaped relationship between Equity Sensitives’ perceptions of equity and job satisfaction in GVTs; and a positive, linear relationship between Entitleds’ perceptions of equity and job satisfaction in GVTs.

Although the second prediction of ET is supported, the first and third have statistically significant opposite signs.

The research has important ramifications for management studies in explaining differences in organizational behavior in GVTs as opposed to traditional work settings.

The authors conclude that the main novelty with ET in GVTs is that GVTs are an environment stingy with satisfaction for “takers” (Entitleds) and generous in satisfaction for “givers” (Benevolents).

This study aims to extend the literature on psychological contracts, employee mental health, self-control and equity sensitivity among employees in Ghana.

Data for this study came from a sample of 484 employees from an organisation in the telecommunication sector of Ghana. The details of the study were discussed with employees after which they were given the choice to participate in the study.

The present study found that psychological contract breach is directly associated with mental health and indirectly related to mental health through equity sensitivity and self-control.

The findings suggest that psychological contracts are important aspects of the employment relationship that could be used to enhance employee mental health. Furthermore, enhancing employees’ self-control and resolving issues of individuals high on equity sensitivity are effective ways that organisations can deploy to sustain mental health in the face of psychological contract breaches.

This study is designed to bridge a gap in the existing leadership communication literature by delving into lesser-explored facets of the field. It particularly concentrates on investigating how the verbal aggressiveness of supervisors influences various aspects of the workplace, including workplace emotional culture, the quality of employee–organization relationships (EORs) and the prevalence of counterproductive work behaviors (CWB).

This study employed a quantitative research design to investigate the impact of supervisors' verbal aggressiveness on employee and organizational outcomes. The data were collected from 392 full-time employees across various organizations and industries in the USA using a self-report questionnaire. The researchers used structural equation modeling (SEM) to analyze the data and test hypotheses.

The findings of this study showed that supervisors' verbal aggressiveness had a significant positive association with negative emotional culture and employee CWB. However, it had no direct impact on employee–organization relationships. The effect of supervisor verbal aggressiveness on employee CWB was found to be mediated by a negative team-level emotional culture.

This study advances the literature on leadership communication by highlighting the detrimental influence of the dark side of leadership communication. More specifically, by identifying negative emotional culture and employee CWB as the direct outcomes of supervisor verbal aggressiveness, the authors add to the existing theoretical knowledge on verbal aggressiveness in the workplace. Additionally, this study provides empirical evidence of the impact of a negative emotional culture on eliciting employees' CWBs and diminishing relationship quality, adding to the body of knowledge on why managing emotional culture is crucial for organizations and workgroups.

This study explores the influence of employee empathy on brand love, which subsequently affects customer advocacy, willingness to pay more (WTPM) and tolerance of failure. Additionally, it investigates the mediating role of customer delight and gratitude in connecting employee empathy with brand love and the moderating effect of power distance belief (PDB) between employee empathy and customer delight and gratitude.

A total of 751 usable data were gathered through scenario-based online surveys within a hotel context. The proposed conceptual model used Partial Least Squares - Structural Equation Modeling (PLS-SEM) for testing.

The results affirm the impact of employee empathy on brand love through the pathways of customer delight and gratitude, ultimately influencing positive customer behaviors, such as advocacy, WTPM and tolerance of failure. Moreover, the findings suggest that PDB diminishes the effect of employee empathy on customer gratitude, although it does not affect customer delight.

The study introduces novel insights into the significance of employee empathy as an antecedent of brand love. It contributes to the literature by concurrently conceptualizing customer delight and gratitude as mediators between employee empathy and brand love, consequently leading to favorable consumer behaviors. Furthermore, it advances our theoretical comprehension of an individual customer’s PDB and its psychological impact.

The authors aim to broaden the understanding of incivility through the lens of bystanders who witness incivility toward women. Integrating attributional ambiguity and emotional contagion theories with the literature on workplace mistreatment, the authors propose that witnessing incivility toward women may negatively impact bystanders.

The authors collected multi-wave data from 324 employees to assess the consequences of witnessing incivility toward women at work for bystanders.

Utilizing a serial mediation model, the authors found evidence that witnessing incivility toward women indirectly increased turnover intentions six weeks later, first through elevated negative affect and then through increased cognitive burnout.

Taken together, this study's findings suggest that the negative effects of incivility toward women can spread to bystanders and highlight the importance of considering individuals who are not directly involved, but simply bear witness to incivility at work.

The study aims to examine the indirect relationships via application (app) brand self-relevance emotions and self-relevance that underlie the relationships between perceived value of mobile apps and (brand) love with respect to mobile apps. The study further investigates the moderating role of user–app relationship duration in the formation process of brand love for mobile apps from a dynamic and long-term perspective.

A multiple moderated-mediation model is developed and empirically tested with a sample of 396 users of popular Chinese mobile educational apps.

The study reveals that utilitarian value exhibits positive indirect relationships with brand love for mobile apps through increased positive self-relevance emotions. All three types of perceived value of mobile apps (utilitarian, hedonic and social) affect app brand love positively via self-relevance. These three types of perceived value were found to be serially linked to brand love through self-relevance and self-relevance emotions. Furthermore, empirical evidence is found for the moderating effects of user–app relationship duration.

By testing mechanisms simultaneously in an integrative model, this study investigates the reasons for app brand love that attract a user into a lasting relationship with an app and extends knowledge of the app brand love building process in inducing strong and positive brand–self connections. Our study also makes practical contributions by offering insights into delivering the most desired benefits to mobile app users according to different contextual conditions, in order to attract and retain users in a more cost-effective manner.

Managers play a crucial role in organizations. They make decisions that directly influence organizational success and significantly impact employees’ mental health, development and performance. They are responsible for ensuring the financial well-being and long-term sustainability of organizations. However, their mental health is often overlooked, which can negatively affect employees and organizations. This study aims to address managers’ mental health at work, by examining specifically the direct and indirect effects of identity verification on their psychological distress and depression through self-esteem at work. The study also aims to examine the moderating as well as moderated mediation effects of identity salience.

A sample of 314 Canadian managers working in 56 different companies was studied, using multilevel analyses.

The findings showed that the verification of managers’ identity vis-à-vis recognition is positively associated with psychological distress and depression. Self-esteem completely mediates the association between low identity verification vis-à-vis work control and psychological distress, and also the association between low identity verification vis-à-vis work control and superior support and depression, while it partially mediates the association between low identity verification vis-à-vis recognition and depression.

This study can also help both managers and human resource management practitioners in understanding the role of workplaces in the identity verification process and developing relevant interventions to prevent mental health issues among managers at work.

This study proposed a relatively unexplored approach to the study of managers’ mental health at work. Its integration of identity theory contributes to expanding research on management and workplace mental health issues.