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This study aims to investigate the impact of message framing (emotional vs rational) on social media users' ability to accurately detect information and their intention to share messages about the COVID-19 vaccine.

Using an experimental design approach, the authors recruited 600 adult participants via a crowdsourcing platform. Participants were randomly assigned to receive emotional or rational messages and their ability to accurately detect information and intention to share messages were assessed.

The results showed a significant multivariate effect of message framing on both the detection of accurate information and intention to share (p < 0.001). Participants who received emotional messages demonstrated better performance in the detection and sharing task than those who received rational messages. Gender and age also had significant main effects on the outcomes, with women performing better than men and younger participants performing better than older participants in detecting the accuracy of information. The interaction effects of the independent variables were not statistically significant (p = 0.098).

The findings highlight the importance of considering emotional factors in combating the spread of messages about the COVID-19 vaccine on social media. Practitioners responsible for social media content should strengthen the content review mechanism, with an emphasis on screening content with high emotional arousal.

In the era of Industry 4.0, the relevance of webinar tutorials, a form of distance learning, is paramount. These tutorials can catalyze self-regulated learning, critical thinking and communication skills, especially for prospective and in-service teachers pursuing higher education. This paper aims to develop a conceptual framework and report the results of implementing a flipped classroom with whiteboard animation and modules. This innovative approach seeks to enhance students' self-regulation, critical thinking and communication abilities.

This study employs a mixed-methods approach. In the first phase, a hypothetical model and conceptual framework for the Flipped Classroom with Whiteboard Animation and Modules were developed to enhance self-regulation, critical thinking and communication skills. The resulting conceptual framework was then implemented through a quasi-experiment using a non-equivalent control group design involving 83 elementary school teachers enrolled in the Elementary School Science Education course (PDGK4202), divided into three treatment groups. Qualitative data were collected through observations of the learning process, documentation of student worksheet completion and interviews with students. Questionnaires and tests were used as instruments for quantitative data collection. Qualitative data were analyzed using descriptive methods, while quantitative data were evaluated using MANCOVA.

The findings demonstrate significant improvements in students' self-regulation, critical thinking skills and communication abilities after implementing the Flipped Classroom with Whiteboard Animation and Modules.

Some limitations in this study need to be recognized. These limitations include the specific sample type of elementary school teachers who went back to college to take science learning courses in elementary school. Teachers have various diversity that may affect the dependent variable, such as age, educational background, facilities, internet signal stability at their learning location and teaching experience. This study was conducted in a specific context (using the flipped classroom model at UT), so the results may need to be more generalizable to other educational contexts with different facilities, systems and policies. In addition, the measurement of self-regulation and communication skills, particularly with questionnaires, relies on self-report, which can be biased due to socially desirable responses or inaccurate self-assessment. Although the MANCOVA test showed significant results, it is possible that other variables not controlled for in this study (e.g. intrinsic motivation, social support from family or colleagues) also affected the independent variables.

This study emphasizes the importance of adapting webinar tutorials for Industry 4.0 and enhancing self-regulated learning, critical thinking and communication skills, particularly for working students and teachers. It offers a practical framework for educators and suggests ways to improve online learning materials. The implementation results show significant skill enhancement. These findings have practical implications for educators, institutions and instructional designers, guiding the development of effective distance learning strategies and curriculum improvements in the digital age.

The social implications of this study are noteworthy. In the context of Industry 4.0, adapting webinar tutorials to promote self-regulated learning, critical thinking and communication skills is essential not only for the educational sector but also for the broader society. It equips prospective and in-service teachers, who are pivotal in shaping future generations, with the necessary skills to navigate a rapidly changing digital landscape. Furthermore, enhancing self-regulation and critical thinking abilities among employed students contributes to a more informed and adaptable workforce, fostering societal resilience in the face of technological advancements.

The uniqueness of this study stems from the creative modification of a webinar tutorial, which specifically targets the urgent requirement for enhancing abilities among teachers and university students. The conceptual framework serves as a valuable tool for educators, and the findings of this study confirm its effectiveness in enhancing self-regulation, critical thinking abilities and communication proficiency. Furthermore, the recommendations offered also furnish practical insights to improve this model.

This study investigates how autonomous vehicle (AV)-related electronic word-of-mouth (eWOM) of different polarities affects attitude and perceived risk from the perspectives of both passengers and pedestrians and whether any gender differences exist. It also seeks to identify AV-adoption user archetypes.

An online experiment was conducted, manipulating eWOM polarity (positive, negative or mixed) as a between-participants factor.

While eWOM polarity did not affect attitude, perceived risk was the highest in the mixed eWOM condition. Males and females differed from each other in terms of attitude toward AVs from a passenger perspective, attitude toward AVs from a pedestrian perspective and perceived risk for passengers in AVs. Four AV-adoption user archetypes were identified: AV watchfuls, AV optimists, AV nonchalants and AV skeptics.

The paper contributes to the AV adoption literature by adding the effects of eWOM. It not only sheds light on how AV-related eWOM polarity affects attitude and perceived risk but also teases out nuances from the perspectives of passengers and pedestrians as a function of gender.

Numerous studies have shown that minority workers are disadvantaged in the labour market due to stereotypes and discrimination. However, published research on résumé screening has overlooked the effects of multiple social categorisations pertaining to candidates' gender, education and origin. This study addresses this gap and examines whether the gender, the level of education and the national origin cues mentioned in the résumé affect the perceived employability of candidates.

This study employs an experimental between-subjects factorial design in that 12 résumés varying in gender, education and national origin were rated by 373 Portuguese working adults.

The results documented a gender premium as women were favoured in interpersonal and job skills but not in job suitability, and an education premium, since higher educated candidates were preferred despite their gender and origin. No meaningful interactions for gender × education × national origin were observed, which suggests that ingroup favouritism and outgroup discrimination in résumé screening can be averted.

The findings endorse a multidimensional view of perceived employability by investigating candidates' skills and job suitability from the viewpoint of the decision-makers, which extends our understanding of résumé-screening discrimination. This is critical to prevent hiring discrimination at an earlier career stage, which can increase youth employment and enhance the integration in the labour market of local minorities such as women, inexperienced workers and second-generation immigrants.

Renewable energy sources and smart devices are options for those wishing to lessen their reliance on fossil fuels. Smart devices in the home also allow energy providers to remotely control energy use (RCEU). However, little is understood about consumer’s perceptions of RCEU programs. Based on the theory of planned behavior (TPB), it is proposed that environmental attitudes, environmental self-identity, green history, subjective norms and perceived behavioral control will predict differences in both purchase intentions and RCEU.

Data from 692 participants was collected via an online survey of energy consumers. The relationship between study variables was examined using regression analyses.

The results indicate that environmental attitude, environmental identity, green history and perceived behavioral control are positively related to both purchase intentions and RCEU. The results could have important implications for energy providers, practitioners, energy consumers and citizens interested in environmental issues.

As energy providers consider ways to better manage consumer energy use, RCEU has been used more frequently. However, understanding customer perceptions of RCEU is not well-established in the green energy literature. This paper contributes a first step towards the understanding of RCEU perceptions.

This study explores the relationship between economic freedom and gender ideologies on the allocation of women’s opportunity-to-necessity entrepreneurship across countries. Opportunity entrepreneurship is typically understood as one’s best option for work, whereas necessity entrepreneurship describes the choice as driven by no better option for work. Specifically, we examine how economic freedom (i.e. each country’s policies that facilitate voluntary exchange) and gender ideologies (i.e. each country’s propensity for gendered separate spheres) affect the distribution of women’s opportunity-to-necessity entrepreneurship across countries.

We construct our sample by matching data from the following country-level sources: the Global Entrepreneurship Monitor’s Adult Population Survey (APS), the Fraser Institute’s Economic Freedom Index (EFI), the European/World Value Survey’s Integrated Values Survey (IVS) gender equality index, and other covariates from the IVS, Varieties of Democracy (V-dem) World Bank (WB) databases. Our final sample consists of 729 observations from 109 countries between 2006 and 2018. Entrepreneurial activity motivations are measured by the ratio of the percentage of women’s opportunity-driven total nascent and early-stage entrepreneurship to the percentage of female necessity-driven total nascent and early-stage entrepreneurship at the country level. Due to a first-order autoregressive process and heteroskedastic cross-sectional dependence in our panel, we estimate a fixed-effect regression with robust standard errors clustered by country.

After controlling for multiple macro-level factors, we find two interesting findings. First, economic freedom positively affects the ratio of women’s opportunity-to-necessity entrepreneurship. We find that the size of government, sound money, and business and credit regulations play the most important role in shaping the distribution of contextual motivations over time and between countries. However, this effect appears to benefit efficiency and innovation economies more than factor economies in our sub-sample analysis. Second, gender ideologies of political equality positively affect the ratio of women’s opportunity-to-necessity entrepreneurship, and this effect is most pronounced for efficiency economies.

This study offers one critical contribution to the entrepreneurship literature by demonstrating how economic freedom and gender ideologies shape the distribution of contextual motivation for women’s entrepreneurship cross-culturally. We answer calls to better understand the variation within women’s entrepreneurship instead of comparing women’s and men’s entrepreneurial activity. As a result, our study sheds light on how structural aspects of societies shape the allocation of women’s entrepreneurial motivations through their institutional arrangements.

This paper aims to present a comprehensive theoretical framework that seeks to explore the impact of cultural, legal and social factors within the external environment on the relationship between women on corporate boards and firm performance. By investigating these boundary conditions, the paper aims to shed light on how these pressures influence the aforementioned relationship.

To build the sample of companies, the authors selected companies listed on the stock exchanges of countries that represent a diverse range of institutional contexts. These contexts encompass countries with individualistic cultures, collectivist cultures, environments with mandatory gender quotas, environments without gender quotas, contexts with substantial progress toward gender equality and contexts with limited progress in achieving gender equality. To test the hypotheses, the authors used linear regression analysis as a primary analytical approach. Furthermore, they used the propensity score matching technique to address potential issues of reverse causality and unobserved heterogeneity.

The findings indicate that the positive influence of a critical mass of women on corporate boards on firm performance is contingent upon the institutional context. Specifically, the authors observed that this relationship is strengthened in institutional contexts characterized by an individualistic culture, whereas it is not as pronounced in collectivist cultural contexts. Furthermore, this research provides compelling evidence that the presence of a critical mass of women on boards leads to enhanced firm performance in institutional settings where gender quotas are not binding, as opposed to settings where such quotas are enforced. Lastly, the results demonstrate that the presence of a critical mass of women on boards is associated with improved firm performance in institutional settings characterized by low progress in achieving gender equality. However, the authors did not observe the same effect in institutional contexts that have made significant strides toward gender equality.

This research offers a unique perspective by investigating the relationship between women’s presence on corporate boards and firm performance across different institutional contexts. In this investigation, the authors recognize that gender diversity on corporate boards is not a one-size-fits-all solution and that its effects can be shaped by the unique institutional contexts in which companies operate.

How does the interplay between entrepreneurship policies and both formal and informal gender equality affect women’s inclination towards self-employment in contrast to men?

This study introduces and validates a comprehensive multi-level model underpinned by symbolic interactionism, institutional theory, and the nuances of gendered institutions. Employing innovative analytical techniques and leveraging data from 66 countries, we scrutinize how formal and informal gendered institutional arrangements either inhibit or facilitate an environment favorable to women’s entrepreneurial activities.

Significantly, our research delves into the nuanced effects of specific entrepreneurship policies across diverse nations. While these policies can bridge the gendered resource gap, a profound understanding of broader gender dynamics is crucial for fostering an inclusive entrepreneurial landscape.

Our insights advocate for a more integrated approach to bolster women’s participation in entrepreneurship, thus furthering their socio-economic progression.

The contributions of gender equality to trade and the moderating impact of institutional quality on the trade-gender link have been understudied in contemporary literature. Therefore, this paper aims to use the augmented gravity model to investigate the impacts of gender equality and institutional quality on trade, and the moderating impact of institutional quality on the trade-gender link.

The panel data is comprised of bilateral trade flows of Vietnam and 40 major trading partners in the 2002–2021 period. Estimation methods include combined fixed effect, random effect, system generalized method of moments two-step (SGMM-II) and Poisson-pseudo maximum likelihood (PPML) which allow the treatment of heterogeneity, endogeneity and heteroskedasticity in the research models.

The exporting country’s gender equality has an inconclusive impact on trade in SGMM-II and PPML estimations. However, female labor force participation in the exporting country increases trade. Importing country’s gender equality and female labor force participation increase trade. The direct impact of institutional quality on trade is inconclusive, which is dependent on estimation methods. Most noticeably, the institutional quality of exporting and importing countries facilitates the hampering effects of gender equality and female labor force participation on trade.

Future research should apply the framework of this paper to sectoral trade, which allows more sector-specific policy implications to be delivered. Moreover, gender development, gender inequality and institutional quality should be included in the SGMM estimations as endogenous variables for robustness checking purposes in future research.

The paper has justified the integration of gender-specific issues in trade policies, which aligns trade with sustainable development agenda. The explored moderating impact of institutional quality of the exporting country has implied the trade-off relationship between gender equality and export growth in the effort to improve institutional quality. Reversely, in the case of importing countries with higher institutional quality, improved gender equality may mitigate the trade deficit by hampering import growth.

Investigating the impact of gender equality on trade is the prominent contribution of this paper. Gender equality is considered by three component indicators which include gender development, gender inequality and female labor force participation. New measurement approach to the institutional quality level is also introduced. Furthermore, the explored moderating impacts of institutional quality on the trade-gender link are novel in the literature on sustainable development.

The paper aims to study the constraint solutions of the periodic coupled operator matrix equations by the biconjugate residual algorithm. The new algorithm can solve a lot of constraint solutions including Hamiltonian solutions and symmetric solutions, as special cases. At the end of this paper, the new algorithm is applied to the pole assignment problem.

When the studied periodic coupled operator matrix equations are consistent, it is proved that constraint solutions can converge to exact solutions. It is demonstrated that the solutions of the equations can be obtained by the new algorithm with any arbitrary initial matrices without rounding error in a finite number of iterative steps. In addition, the least norm-constrained solutions can also be calculated by selecting any initial matrices when the equations of the periodic coupled operator matrix are inconsistent.

Numerical examples show that compared with some existing algorithms, the proposed method has higher convergence efficiency because less data are used in each iteration and the data is sufficient to complete an update. It not only has the best convergence accuracy but also requires the least running time for iteration, which greatly saves memory space.

Compared with previous algorithms, the main feature of this algorithm is that it can synthesize these equations together to get a coupled operator matrix equation. Although the equation of this paper contains multiple submatrix equations, the algorithm in this paper only needs to use the information of one submatrix equation in the equation of this paper in each iteration so that different constraint solutions of different (coupled) matrix equations can be studied for this class of equations. However, previous articles need to iterate on a specific constraint solution of a matrix equation separately.