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This study aims to examine the effect of investor sentiment on stock market crash risk in the Asia–Pacific region and the moderating role of uncertainty factors.

This research uses principal component analysis to construct an investor sentiment index of 17 Asia–Pacific stock markets before analyzing the data through hierarchical regression with the feasible generalized least squares method.

The empirical results show that investor sentiment has a positive impact on crash risk in the Asia–Pacific stock markets. This impact is more significant in advanced economies compared to emerging markets and developing economies. The nexus between investor sentiment and stock market crash risk is increased by economic policy uncertainty but decreased by uncertainty from pandemics.

This study only investigates the moderating roles of global uncertainty factors but not local uncertainty factors. In addition, the sentiment of different investor groups has not been examined yet.

The findings of this study are relevant for global investors, portfolio managers and policymakers. Investors and portfolio managers can use sentiment indicators to predict downturns and adjust strategies, whereas policymakers can leverage these insights to design regulations that mitigate systemic risks during global uncertainties.

This study expands the literature on the relationship between investor sentiment and stock market crash risk, providing updated insights into sentimental bias in behavioral finance.

This paper aims to examine the effects of investor sentiment on the development of the real estate corporate bond market in Vietnam.

The research uses an autoregressive distributed lag (ARDL) model with quarterly data. Additionally, the study employs Google Trends search data (GVSI) related to topics such as “Real Estate” and “Corporate Bond” to construct a sentiment index.

The empirical outcomes reveal that real estate market sentiment improves the growth of the real estate corporate bond market, while stock market sentiment reduces it. Also, there is evidence of a long-run negative effect of corporate bond market sentiment on the total value of real estate bond issuance. Further empirical research evidences the short-term effect of sentiment and economic factors on corporate bond development in the real estate industry.

Due to difficulties in collecting data, this paper has the limited sample of 54 valid quarterly observations. Moreover, the sentiment index based on Google search volume data only reflects the interest level of investors, not their attitudes.

These results yield important implications for policymakers in respect of strengthening the corporate bond market platform and maintaining stability in macroeconomic and monetary policies in order to promote efficient and sustainable market development.

The study offers some suggestions for regulators and governments to improve the real estate corporate bond market.

This is the first quantitative study to examine the effect of sentiment factors on real estate corporate bond development in Vietnam.

This paper aims to explore factors influencing Vietnamese people’s susceptibility to fraud through cryptocurrency Ponzi schemes.

This study uses the gullibility theory, the theory of planned behavior theory, the traditional theory of finance and the theory of financial behavior, to develop a questionnaire which is then sent to respondents who are Vietnamese individuals. Subsequently, the partial least squares structural equation modeling approach (PLS-SEM) is used to analyze 370 collected responses.

This research shows the important roles that trust, risk appetite and knowledge of Ponzi play in respect of fraud susceptibility, among which trust has the highest positive impact. Moreover, there is no evidence of relationships between Vietnamese people’s susceptibility to fraud via cryptocurrency Ponzi schemes and attitudes toward investment scams, knowledge of investment or knowledge of Ponzi schemes.

This paper collects only 370 valid responses, which raises some questions regarding the diversity and representativeness of the survey sample.

This study provides evidence on factors affecting Vietnamese people’s fraud susceptibility to cryptocurrency Ponzi schemes, which helps both authorities and individuals to be vigilant against investment scams.

This research proposes several recommendations to prevent investment scams in cryptocurrency trading, from the perspective of state regulators and individuals.

This working paper provides a new approach using PLS-SEM to build a theoretical framework for the possibility of becoming victims of investment scams in Vietnam using a combination of different theories from criminology and finance.

This study aims to combine two theories, the Theory of Planned Behaviour (TPB) and the Norm Activation Model (NAM), to investigate the relationship between the awareness of reducing single-use plastic waste's environmental cost and the behaviour to limit the use of single-use plastic products (SUPPs) by FPT university students.

Quantitative research methodologies were employed on a sample of 506 university students. The survey data was then examined using SPSS, SPSS AMOS and SmartPLS software.

The overarching conclusion of the study is that awareness of reducing single-use plastic waste's environmental cost has a positive impact on FPT university students' behaviour to reduce their use of single-use plastic products. Another intriguing discovery is how socialisation of responsibility affects pro-environmental behaviour through the interplay between personal norms, subjective norms and behavioural intention.

This study on the relationship between SUPP low-consumption awareness and behaviour and mediating factors is a necessary foundation for future studies related to changing the behaviour of students using SUPPs. That will also be a solid foundation for practical plans to change behaviour using SUPPs through communication campaigns to increase awareness.

In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet.

We present a comprehensive study using several datasets on textual propaganda and different techniques to tackle it. We explore diverse collections with varied characteristics and analyze methodologies, from classic machine learning algorithms, to multi-task learning to utilize the available data in such models.

Our results show that transformer-based approaches are the best option with high-quality collections, and emotionally enriched inputs improve the results for Twitter content. Additionally, MTL achieves the best results in two of the five scenarios we analyzed. Notably, in one of the scenarios, the model achieves an F1 score of 0.78, significantly surpassing the transformer baseline model’s F1 score of 0.68.

After finding a positive impact when leveraging propaganda’s emotional content, we propose further research into exploiting other complex dimensions, such as moral issues or logical reasoning.

Based on our findings, we provide a roadmap for tackling propaganda-related tasks, depending on the types of training data available and the task to solve. This includes the application of MTL, which has yet to be fully exploited in propaganda detection.

With so many placement opportunities around the students in their final or prefinal year, they start to feel the strain of the season. The students feel the need to be aware of their position and how to increase their chances of being hired. Hence, a system to guide their career is one of the needs of the day.

The job role prediction system utilizes machine learning techniques such as Naïve Bayes, K-Nearest Neighbor, Support Vector machines (SVM) and Artificial Neural Networks (ANN) to suggest a student’s job role based on their academic performance and course outcomes (CO), out of which ANN performs better. The system uses the Mepco Schlenk Engineering College curriculum, placement and students’ Assessment data sets, in which the CO and syllabus are used to determine the skills that the student has gained from their courses. The necessary skills for a job position are then extracted from the job advertisements. The system compares the student’s skills with the required skills for the job role based on the placement prediction result.

The system predicts placement possibilities with an accuracy of 93.33 and 98% precision. Also, the skill analysis for students gives the students information about their skill-set strengths and weaknesses.

For skill-set analysis, only the direct assessment of the students is considered. Indirect assessment shall also be considered for future scope.

The model is adaptable and flexible (customizable) to any type of academic institute or universities.

The research will be very much useful for the students community to bridge the gap between the academic and industrial needs.

Several works are done for career guidance for the students. However, these career guidance methodologies are designed only using the curriculum and students’ basic personal information. The proposed system will consider the students’ academic performance through direct assessment, along with their curriculum and basic personal information.

Employee’s service innovative behavior lays the groundwork for bottom-up innovation and ongoing service improvement in service firms. Therefore, it is vital for service organizations to understand the antecedents of employees service innovative behavior. Drawing upon the social cognitive theory, this study aims to develop a research model that examines the effects of ethical and entrepreneurial leadership on service innovative behavior.

Data were collected from 178 managers and 415 employees working in 178 small- and medium-sized (SME) hotels in Vietnam.

The findings showed that ethical leadership has direct and indirect effects on service innovative behavior, while entrepreneurial leadership only influences service innovative behavior via intrinsic motivation. In addition, trust in leader moderates the effect of intrinsic motivation on service innovative behavior

The study advances current scholarly research on leadership by combining the two areas of entrepreneurial and ethical leadership into one theoretical model and examines how these leadership styles generate hospitality employees’ service innovative behavior through the mediating effect of intrinsic motivation and the moderating effect of trust in leader.

The findings of this research offer significant implications for SME hotels and their managers. In their recruitment processes, hotels should search for particular personality traits, which have been found to predict ethical and entrepreneurial leadership. Hospitality firms also need to encourage communication between leaders and co-workers to enhance employees’ intrinsic motivation.

There are calls for research to examine whether both entrepreneurial and ethical leadership styles can be integrated to enhance employees’ positive outcomes. Evidence about the mechanism linking entrepreneurial and ethical leadership to service innovative behavior is limited. With this stated, the current study makes significant contribution to leadership and innovation literature by filling in these voids.

This literature review aims to explore the various aspects of psychological capital (PsyCap), including its theoretical foundations, measurement methods, and the factors directly associated with PsyCap.

The approach employed in this study is scientific document synthesis, with a specific emphasis on scholarly articles published between 2001 and 2023. The selection of articles is limited to those published in internationally renowned journals that are indexed by reputable databases, including ISI (WoS) and SJR (Scopus).

Psychological capital is closely linked to other concepts at different levels. Scholars are investigating various factors associated with PsyCap, including health, project success, service marketing, banking services. It is important to note that different research areas have varying conceptualizations and scales when it comes to PsyCap.

This literature review of related studies reveals a growing global interest among researchers in the concept of positive psychological capital. The research results have shown significant interest in the items related to PsyCap, and and the factors directly associated with it, including antecedents, mediators, moderators, and outcomes.

This paper aims to propose and investigate the relationships among the components of brand equity, and examining the effects of these components on overall destination brand equity in Hoi An tourism destination, Vietnam, from the perspective of domestic tourists.

Questionnaire data were collected from 319 domestic tourists who have visited Hoi An city. The results of empirical tests using a structural equation model support the research hypotheses.

The results indicate that destination brand awareness has significant, positive effects on destination brand image and destination perceived quality; destination brand image has positive influences on destination perceived quality and destination brand loyalty; destination perceived quality has significant, positive impacts on destination brand loyalty; except for destination brand image, the remaining dimensions have positive and direct impacts on overall destination brand equity.

An integrated model of destination brand equity dimensions and overall destination brand equity was tested in a tourism city in the context of a developing economy. Moreover, relevant implications are provided for destination marketers as to how to improve destination brand equity in the tourism industry.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.