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This study aims to investigate the effectiveness of two types of social media videos used for destination image development: induced/commercial-oriented content and organic content (where content is made without commercial interest, such as vlogs classified as user-generated content).

Experimental research using “Emotive EEG” (electroencephalogram) in a controlled environment was conducted with 30 participants (20 males, 10 females), age range 18 to 26. Emotive EEG recording was performed while the participants watched both types of video clips. Test results for both groups indicate that induced content is preferred over organic content.

This study opens up future research avenues where neuromarketing’s “Marketer Friendly” EEG equipment can be applied to the customer selection process.

Marketing analysts can gauge the interest and response of customers on different types of social media video content for destination marketing based on the findings of this study.

This study aimed to investigate the impact of job embeddedness (JE) on the turnover intention (TI) of the public sector with the mediating effect of the individual factor (i.e. life satisfaction [LS]) and the moderating effect of the leadership style (i.e. ethical leadership [EL]).

This study adopted a quantitative design to collect data from 236 employees working in the public sector in Vietnam through field research using structured questionnaires. Data were analysed using partial least squares structural equation modelling (PLS-SEM) to test the hypotheses.

The results show that JE negatively affects the TI of public sector employees through the mediation effect of LS. Additionally, this study indicates that EL moderates the relationship between JE and TI.

This study implies that public sector stakeholders should consider both individual and contextual factors to manage and retain employees. In addition to addressing employees' embeddedness with the organisation and community and their LS, public organisations need to focus on hiring, training and promoting ethical leaders.

This study highlights the role of embeddedness within both the organisation and the community, along with the role of EL in the LS and TI of public sector employees.

This study aims to identify the major job stressors that can affect employees’ mental health in the Lebanese commercial banks during the economic turmoil. This study also aims to identify the effects of the mental problems on the employees in addition to the role of human resources in promoting and preventing mental well-being at the workplace.

The authors interviewed 28 bank employees and the semi-structured interviews last for around 50 min, starting by asking the employees a general question about the concept of mental health disorder. The authors used a purposive sampling in which the population sample is selected based on purpose and the characteristics of a specific category of individuals. Moreover, a thematic analysis is used to analyze the data.

The findings of this study indicate that most of the employees were suffering from many work-related stressors that have negatively affected their mental well-being. The stress and pressures have significantly increased during the economic crisis. However, most of the interviewees were not or rarely supported by their human resources department and their administration to help them get adapted for such a crisis or for the changes at the workplace.

Mental health disorders are present in the daily normal life and in the workplace as well. The banking industry is not an exceptional one.

Employees of Pakistani public sector organizations feel thwarted toward their goal attainment because of strict adherence to rules and regulations and tall hierarchies existing in this region. Therefore, keeping in view the harmful effects of perceived organizational obstruction, the aim of the current study was to investigate the perceived organizational obstruction as an attribution that triggers job neglect through perceived organizational frustration. Harvey’s expanded attribution-emotion model of workplace aggression and an attributional perspective on workplace aggression provide the theoretical justification. Moreover, the moderating role of self-control was proposed to mitigate the indirect effect of organizational obstruction on job neglect through perceived organizational frustration.

A three-wave data collection was done by using a close-ended questionnaire distributed to a total of 600 administrative employees of public sector organizations operating in Rawalpindi/Islamabad (Pakistan). However, matching three times and discarding the incomplete questionnaires led to a sample of 375 on which the analysis was done.

Perceived organizational obstruction positively predicted job neglect. Likewise, organizational frustration mediated the aforementioned link. Moreover, the higher level of self-control weakens this underlying process by suppressing job neglect behavior.

The current study added to the limited literature on public sector organizations that has taken perceived organizational obstruction as a predictor variable. Moreover, this study explains how this phenomenon translates into non-hostile behavior that is difficult to identify and punish in public sector organizations. Moreover, the trait of self-control is added to the literature of non-hostile behaviors that dampen the impulsivity to indulge in job neglect.

This paper aims to apply several data mining techniques for predicting the daily precision improvement of Jakarta Islamic Index (JKII) prices based on big data of symmetric volatility in Indonesia’s Islamic stock market.

This research uses big data mining techniques to predict daily precision improvement of JKII prices by applying the AdaBoost, K-nearest neighbor, random forest and artificial neural networks. This research uses big data with symmetric volatility as inputs in the predicting model, whereas the closing prices of JKII were used as the target outputs of daily precision improvement. For choosing the optimal prediction performance according to the criteria of the lowest prediction errors, this research uses four metrics of mean absolute error, mean squared error, root mean squared error and R-squared.

The experimental results determine that the optimal technique for predicting the daily precision improvement of the JKII prices in Indonesia’s Islamic stock market is the AdaBoost technique, which generates the optimal predicting performance with the lowest prediction errors, and provides the optimum knowledge from the big data of symmetric volatility in Indonesia’s Islamic stock market. In addition, the random forest technique is also considered another robust technique in predicting the daily precision improvement of the JKII prices as it delivers closer values to the optimal performance of the AdaBoost technique.

This research is filling the literature gap of the absence of using big data mining techniques in the prediction process of Islamic stock markets by delivering new operational techniques for predicting the daily stock precision improvement. Also, it helps investors to manage the optimal portfolios and to decrease the risk of trading in global Islamic stock markets based on using big data mining of symmetric volatility.

This research is a pioneer in using big data mining of symmetric volatility in the prediction of an Islamic stock market index.

The purpose of this study is to examine the role of personality traits (PTs) of individual investors on their investment intention (II). Further, to study the mediating role of overconfidence (OC) bias and financial literacy (FL) on the relationship between PTs and II.

The present study uses the quantitative approach for the data collection from the sample of 327 Indian investors investing in the stock market. The questionnaire was divided into segments to assess the investor’s PTs, OC, FL and II. The PT has been measured using the Big Five Personality Traits. Confirmatory factor analysis was used to test the reliability and validity of the constructs. The hypothesis was tested using structural equation modeling.

Findings of the study show that the PTs of an individual investor are associated with FL and II but insignificant with OC bias. Further, the FL and OC bias have a positive and significant influence on II. In addition, the mediation analysis showed that FL partly mediates the relationship between PTs and II.

The present study is helpful for financial companies, government, personal finance advisors and individual investors; they can keep in mind the behavior-related traits that can influence the investment decisions and design the portfolio accordingly. The policy-makers can implement programs on FL to enhance investment decisions in India.

This paper is unique that covers the mediating role of psychological bias, i.e. OC bias and FL, between the PTs and II of an Indian investor.

The purpose of the present study is to extend the body of research on healthcare management by examining the effect of workplace stressors, including abusive supervision, customer incivility and the perceived threat of COVID-19 (PCT), on turnover intention. The study also contributes to healthcare management research by examining the mediating role of emotional exhaustion, the moderating role of employee resilience and constituent attachment.

The study developed and tested a model explaining the relationship between abusive supervision, customer incivility, PCT, emotional exhaustion, turnover intention, employee resilience and constituent attachment. Data were collected from a sample of 375 frontline employees who work in private hospitals in Mashhad, the second-most populous city in Iran.

The findings indicate that abusive supervision and customer incivility, directly and indirectly, affect turnover intention through emotional exhaustion. Furthermore, employee resilience was found to mitigate the relationship between stressors excluding the PCT and emotional exhaustion. Moreover, constituent attachment decreased the likelihood of turnover intention among employees who experienced abusive supervision. The findings suggest that controlling abusive supervision, customer incivility and PCT can lead to less emotionally exhausted employees with lower turnover intention. Furthermore, enhancing employee resilience and constituent attachment can decrease emotional exhaustion and turnover intention.

Despite the large body of research on the relationship between the variables mentioned above, few studies have presented a conceptual model based on the relationship between them. This article presents a conceptual model that has not been previously discussed in any other publication to examine the moderating effect of organizational and individual factors in the relationship between workplace stressors and their consequences, which have not been widely covered in existing literature. Drawing upon conservation of resources theory, job embeddedness theory and attachment theory, the present study aims to fill this gap in the literature.

This paper aims to explore the key factors affecting knowledge transfer within cross-cultural teams in international construction projects from three levels: individual factors, team factors and knowledge characteristics. It also provides a comprehensive framework to examine how trust, cultural distance, team identification, knowledge tacitness and complexity and members' transfer willingness impact knowledge transfer effectiveness within cross-cultural teams.

A conceptual model and 16 hypotheses were put forward through the literature review and pilot investigation. This study used structural equation modeling to examine how factors affect the effectiveness of knowledge transfer within cross-cultural teams based on the questionnaire data of samples from Chinese international construction projects.

The findings show that affect-based trust and team identification positively affect the willingness to contribute knowledge. Conversely, knowledge tacitness, knowledge complexity and cultural distance negatively influence contribute willingness. Moreover, affect-based trust, cognition-based trust and team identity positively affect receive willingness, while cultural distance negatively impacts receive willingness. Additionally, affect-based and cognition-based trust, knowledge tacitness and complexity affect transfer effectiveness through the full mediation of transfer willingness, while cultural distance and team identity affect transfer effectiveness through the partial mediation of transfer willingness.

On the one hand, this research provides a holistic framework for factors affecting knowledge transfer within cross-cultural teams from three levels: individual factors, team factors and knowledge characteristics. On the other hand, the paper gives other researchers in international project management the enlightenment of focusing on members' cultural structure and the cross-cultural training of the team.

This study offers the direction for cross-cultural team managers to formulate helpful approaches for knowledge transfer and assist corporate leaders in taking integral control measures to enhance knowledge transfer effectiveness within the team.

This study provides other researchers with a comprehensive understanding of the key factors affecting knowledge transfer within cross-cultural teams in international construction projects and insight for further research on project management and knowledge management.

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.