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This research examines how macroeconomic variables can precisely predict bull/bear stock markets in China and Taiwan.

This paper adopts a two-state Markov switching model to characterize the bull and bear markets spanning from 1994 to 2019 and then conduct a bear stock market predictability test by running regressions between the filtered probabilities of bear markets and a series of macroeconomic variables in turn at different horizons of 1, 3, 6, 12 and 24 months.

This paper shows that inflation rates, changes in real exchange rates, and foreign currency reserve growth are key predictors of bear markets in China, while term spreads, unemployment rates and foreign reserve growth are major factors that can predict bear markets in Taiwan. Remarkably, industrial production growth does not have predictive power for bear markets, which may suggest emerging markets are driven by fund flows rather than real economic activities. Besides, the impact directions of foreign currency reserve growth are opposite, which may be due to different proportions of the financial accounts in their balance of payments.

In practical respect, this paper provides market participants the usefulness, impact direction and implications of bear market predictors when building their market-timing strategies in China and Taiwan stock markets. The government institutions may also thereby make appropriate policies to prevent huge stock market downturns and serious drawbacks.

It highlights the “fund-driven market hypothesis” and “foreign currency reserve effects” that commonly dominate Taiwan and China stock markets since both are highly affected by international funds.

The purpose of this paper is to adopt the theory of planned behavior to close the entrepreneurial attitude–intention–behavior gap in the entrepreneurship field as well as test the key moderators of the entrepreneurial process, starting from entrepreneurial attitude and intention to behavior to engage in entrepreneurial activities – namely, entrepreneurship education.

The research used a sample of 2,566 students from 16 universities in Vietnam. First, Cronbach’s alpha and confirmatory factor analysis have been used to test the reliability and validity of scales. Then the coefficient paths in the conceptual framework were tested through structural equation modeling, and indirect associations were estimated via the PROCESS bootstrapping approach.

The research illustrated that both attitudes toward entrepreneurship and entrepreneurial intention serve as the central antecedents in the formation of entrepreneurial behavior. Also, when students are more entrepreneurially educated, the linkage between attitude toward entrepreneurship and entrepreneurial behavior was hypothesized to become stronger, yet the relation between entrepreneurial intention and behavior was weakened.

This research suggests useful recommendations for educators and policymakers to encourage university students’ favorable attitudes toward entrepreneurial activities, their intention to engage in them and their subsequent entrepreneurial behavior.

This research is expected to make a significant contribution to the entrepreneurship literature by closing the entrepreneurial attitude–intention–behavior gap as well as enriching our understanding of the influence of entrepreneurship education on the entrepreneurial process. Importantly, this research reveals that entrepreneurial education significantly moderates the effects of attitude toward entrepreneurship and entrepreneurial intention on entrepreneurial behavior.

This research applies the stimulus-organism-behavior-consequence framework to explore how blockchain-enabled traceability influences trust in organic food producers and retailers, which impacts consumers’ purchase behaviors and subsequent outcomes.

Using a purposive sample of 5,326 Vietnamese consumers, multiple linear and polynomial regression with response surface analysis were employed to examine the hypotheses.

Blockchain-enabled traceability significantly enhances trust in both producers and retailers, which congruently and incongruently influences organic food purchase behaviors. This behavior also drives consumers’ word-of-mouth and repurchase intentions. Serial mediation analysis confirms blockchain’s impact through trust and purchase behaviors.

Stakeholders should adopt blockchain to boost transparency and trust, which increases consumer engagement. Policymakers can support this transition through regulations and incentives to enhance food security and sustainability.

This study expands on blockchain research by applying the stimulus-organism-behavior-consequence framework in the organic food supply chain, showing how blockchain-enhanced trust synergistically affects consumers’ purchase behaviors, word-of-mouth and repurchase intentions.

Government employees must comply with policies on information security regulations, online security practices, social networking usage, internet addiction, online cyberthreats and other related habits. These activities are considered cybersecurity behaviors. Government social media (GSM) accounts are increasingly used to educate employees about cybersecurity risks. To support the effectiveness of cybersecurity practices in government organizations, the purpose of this study is to investigate the impacts of GSM and organizational policy compliance on employees’ cybersecurity awareness, motivation and behaviors.

Data were obtained by administering a questionnaire survey to public personnel in Vietnam. A total of 330 valid responses were obtained, and the research hypotheses were tested using partial least squares–structural equation modeling.

First, cybersecurity awareness enhances information protection motivation and employee protective behavior. Second, GSM has positive impacts on cybersecurity knowledge and information protection motivation. Third, there is a strong positive association between information protection motivation and employee protective behavior. Finally, while organizational compliance significantly increases cybersecurity awareness, its impact on employee protective behavior is ind irect.

This research enhances the literature on the behavioral dimension of cybersecurity. The primary objective of this study is to assess the influence of cybersecurity awareness on protective behaviors rather than intents and attitudes alone. Furthermore, this research integrates protection motivation theory and cultivation theory to provide a more thorough assessment of cybersecurity awareness and protective behavior. By investigating the impact of GSM on the level of cybersecurity awareness among employees within government organizations, this study provides valuable insights into the efficacy of recent governmental initiatives aimed at fostering cybersecurity.

This study aims to investigate the impact of employees’ engagement in government social media (GSM) on their cybersecurity compliance attitude, protection motivation and protective behavior, thereby contributing to effective cybersecurity practices at organizations.

A quantitative cross-sectional field survey was conducted to collect primary data in big cities and large provinces in Vietnam. The final data set of 323 responses was analyzed using the partial least squares-structural equation modeling approach to interpret the results and test research hypotheses.

Engagement in GSM positively influences employees’ cybersecurity compliance attitude (ATT). Perceived threat vulnerability and response efficacy also contribute to a positive compliance attitude, although self-efficacy has a negative impact. Moreover, the cybersecurity compliance ATT significantly explains the information protection motivation, which in turn influences employee protective behaviors. However, the relationship between compliance attitude and protective behaviors is weak, unlike previous studies that found a strong correlation.

Although recent studies have explored specific information security practices in corporate and home contexts, the influence of GSM on individuals’ cybersecurity behaviors has received limited attention because of its novelty. This study contributes to the existing body of knowledge by investigating the impact of GSM on cybersecurity behaviors. This study provides significant contributions to understanding social media’s effects of social media on individuals’ cultivation processes, by expanding upon the protective motivation theory and cultivation theory. The results lead to practical suggestions for organizational managers and policymakers so that they can enhance their understanding of the importance of cybersecurity, encourage the implementation of self-defense strategies and highlight the significance of threat and coping evaluations in influencing attitudes and motivations.

This article aims to draw a conceptual model that integrates the view from the entrepreneurial event model with entrepreneurial education and prior self-employment experience. The model tests the role of entrepreneurial education on the formation of intentions to become an entrepreneur and examines whether prior self-employed experiences moderate the route from entrepreneurial education, entrepreneurial perceived feasibility (PF) and perceived desirability (PD) into the entrepreneurial intention (EI).

The authors operated on a sample of 389 master's students by applying Cronbach's alpha, exploratory factor analysis, confirmatory factor analysis and structural equation modelling to illustrate the links between constructs.

The study found that entrepreneurial education is positively correlated with PF, PD, and intention to enter entrepreneurial activities. PD is determined as a partial mediator in the entrepreneurial education–intention link and full mediator in PF and EI. Moreover, the study revealed that prior self-employed experiences serve as a positive moderator in the path from entrepreneurial education and PD to EI.

The study offers several recommendations based on research findings so as to nurture and promote entrepreneurial activities among master's students.

The current research provides novel insights about the relationship between entrepreneurial education and intentions to become an entrepreneur over and about the central antecedents in the entrepreneurial event model and moderation effects of prior self-employed experiences.

This study aims to integrate predictions from clinical psychology and UPPS impulsivity with the theory of planned behaviors (TPB) to draw a conceptual framework and test the prediction that attention deficit hyperactivity disorder (ADHD) symptoms, impulsivity would contribute to the prediction of the reasoned cognitive process of entrepreneurship over and above key predictors from an extended TPB model.

This study utilized a sample of 2,482 students from 14 universities/institutes in Vietnam; confirmatory factor analysis was employed to test the validity and reliability. Then, regression analysis with PROCESS macro approach (5,000 bootstrap sample and 95% confidence interval) was employed to estimate the association paths and multiple mediators.

The study reveals that ADHD symptoms and impulsivity substantially contribute to the exploration of an entrepreneurial intention throughout TPB predictors, with those higher in ADHD symptoms and impulsivity having higher intentions to engage in business venturing. Moreover, UPPS impulsiveness might valuably be incorporated with TPB predictors while predicting behaviors that are often examined as the process of rational cognitive strategies business venturing.

This study showed that a start-up business can be seen as a career choice for students who exhibit extensive ADHD symptoms to use their talents effectively, thus contributing to creating value for society and improving personal well-being.

This article stood to make contributions to entrepreneurship literature by investigating the effects of ADHD symptoms, four impulsivity traits on an entrepreneurial intention via three precursors in TPB, including attitude toward entrepreneurship, subjective norms and perceived behavioral control.

The research aims to assess the relationship between ecological innovation, green productivity, sustainable development and agricultural productivity in Vietnam. The agricultural sector of Vietnam has been observed with new opportunities which have fostered its productivity and growth.

The study uses a range of methods where initially, the researcher used descriptive analysis, cointegration and unit root tests. Secondly, Quantile Autoregressive Distributed Lag (QARDL) is used to assess the short and long run effects. The QARDL methodology is employed to capture the relationship between variables. Through this approach, the researcher is able to examine the scale of the interaction between dependent and independent variables.

The unique findings drawn through statistical techniques are also a great addition to the context of literature related to Vietnam’s agricultural productivity. Practical insights can also not be denied as the study provides beneficial guidelines for Vietnam’s agricultural sector to refine agricultural productivity.

Scholars are advised to use strong literary techniques to overcome these limitations and give a more thorough investigation into the same ideas. The availability and dependability of data was one of the primary challenges in carrying out this study. Vietnam has made significant advances in the collection and documentation of agricultural data, but there might still be gaps in the availability of thorough and current data on ecological innovation, green production and sustainable development.

Vietnam’s unique socioeconomic, cultural and environmental features influence how ecological innovation, green productivity, sustainable development and agricultural production are interconnected. Consequently, consideration should be taken when applying the results to various scenarios.

The purpose of this study is to systematically review the literature on the intersections among family, migration and entrepreneurship in the context of Vietnam. This paper aims to shed light on the current state of knowledge of the research field by highlighting some key bibliographic trends among existing literature, mapping existing knowledge in the field of research and recommending future research agenda.

This study adopts a systematic literature review approach with five steps. A list of 24 papers that are extracted from a pool of 643 papers in the Core Collection of Web of Science and Scopus were selected as the most relevant to the research questions used for further in-depth analysis.

Bibliometric analysis indicates that this research field is considered an infant research stream that is dominated by qualitative empirical studies. Content analysis reveals how Vietnamese migrant families mobilize and use various kinds of cultural, social, human and financial capital for entrepreneurship. They also generate resources to develop family-owned enterprises that are expected to be continued over generations. Five research gaps for future research are identified: functions of family, downsides of networks, the role of transnational and returnee entrepreneurs, gender and methodology.

The choice of a limited number of keywords and access to only two databases (Web of Science and Scopus) are limitations of this study. Furthermore, the selection of the articles for content analysis is subjective although research triangulation is applied in this review.

This research is a pioneering systematic literature review that sheds light on the interconnectedness of family, migration and entrepreneurship in the case of Vietnamese migrant entrepreneurs.

Limited knowledge exists regarding the adverse effects of artificial intelligence adoption, including platforms like ChatGPT, on users’ mental well-being. The current research seeks to adopt the insight from the stressor-strain-outcome paradigm and a moderated mediation model to examine how technology anxiety moderates the direct and indirect relationships between compulsive use of ChatGPT, technostress, and life satisfaction.

Drawing data from a sample of 2,602 ChatGPT users in Vietnam, PROCESS macro was approached to test the moderated mediation model.

The findings indicate that compulsive use of ChatGPT exhibited a substantial and positive impact on technostress, while technostress was found to have a negative influence on life satisfaction. Moreover, although compulsive use of ChatGPT did not show a significant direct effect, it indirectly impacts life satisfaction via technostress. Remarkably, technology anxiety was found to significantly moderate both direct and indirect associations between compulsive use of ChatGPT, technostress, and life satisfaction.

Based on the findings of this research, some practical implications are provided.

The research offers a fresh perspective by applying the stressor-strain-outcome perspective to provide empirical evidence on the moderated mediation effects of technology anxiety and technostress on the relationship between compulsive use of ChatGPT and users’ life satisfaction. The research thus sheds new light on artificial intelligence adoption and its effects on users’ mental health.