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Social commerce has brought about a significant transformation in consumer experience due to diverse factors. As a result, users often find themselves prone to impulsive buying behaviour when exposed to such an environment. Prior research was limited to demonstrating the expanding influence of celebrities on social media and the linkage between social engagement and impulse buying context. Furthermore, the impulse buying tendency of consumers on social media in the context of celebrity posts has yet to be validated. This paper aims to assess the influence of consumer awareness, consumer trust and observational learning on the latent state-trait (LST) theory regarding celebrity posts on impulse buying tendencies.

The empirical research builds on a sample survey involving 750 students from the “Big Four” economics universities in Hanoi. The proposed model was analysed using a partial least squares structural equation modelling technique.

The authors find that consumer trust and observational learning from celebrity’ posts positively affect impulse buying tendency. Yet celebrity influence awareness directly impacts trust in celebrity’ posts rather than directly impacting impulse buying tendency. Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

From a theoretical perspective, this expands the applicability of the LST theory in social commerce to promote impulse buying tendencies. Second, this contributes to the literature on the emerging phenomenon of social media celebrities, as existing literature does not clarify their influence on impulse buying behaviour. Third, this research applies the concept of observational learning in online shopping through key features of social media platforms, namely, likes, shares and comments, to investigate their influence on the impulse buying tendency of consumers. Concerning managerial implications, the authors propose practical recommendations for practitioners, particularly those involved or interested in the commercial services industry and social media marketing (namely, celebrities and partner companies).

We study how capital requirements, intended as a measure to ensure security for the financial system, can create moral hazard for banks in dealing with distressed debts.

Over the period spanning from 1993 to 2019, we manually gathered data on 1953 firms, identifying a total of 2,146 distress events, with 804 instances resulting in bankruptcy fillings.

Our analyses at the loan level and the bank level consistently show that loans of distressed firms are much more likely to be extended when the lenders are closer to the capital requirement limit. Exploiting the discontinuity in the predetermined maturity date of loans, we provide causal evidence on the relationship between capital ratios and extension likelihood. Distressed loans that are due just before the report date (end of a quarter) are much more likely to be extended than loans due just after the report date, after controlling for loan and firm characteristics. Additional analyses show that the effects are stronger when external financing is more costly and when the banks are poorly capitalized.

Our paper presents the first causal evidence of capital requirements on lending distortion, contributing to our understanding of the dynamics within the banking sector and providing policy implications for promoting financial stability and regulatory efficacy.

This study addresses the empirical results of the spillover effect with export as the primary economic activity that enhances local businesses' total factor productivity (TFP). A learning mechanism is expected to be generated and used as the basis for the policy implication.

This study adopted the Cobb–Douglas function and multiple estimation approaches, including the generalized method of moments, the Olley–Pakes and the Levinsohn–Petrin estimation techniques. The findings were estimated based on the panel data of a Vietnamese local businesses survey conducted by the General Statistics Office of Vietnam (GSO) from 2010 to 2019.

The results showed that the highest TFP belongs to the businesses in the Southeast region, the Mekong Delta region, the mining industry and the foreign-invested enterprises. The lowest impacted TFP are businesses in the Northwest region and agricultural, forestry and fishery sectors. In addition, the estimated results also show that the positive spillover effect on TFP is shown through forward and backward linkage. The negative spillover effect is expressed through the backward and horizontal channels.

This study offers original empirical evidence on the learning mechanisms via which exports contribute to productivity improvement in a developing Asian economy, so making a valuable contribution to the existing academic literature in this domain. The findings of this research make a valuable contribution to the advancement of understanding on the many ways via which spillover effects manifest such as horizontal, forward, backward and supplied-backward linkage.

The study's findings indicate that it is advisable for governments to give priority to the development and improvement of forward and supply chain linkages between exporters and local suppliers. This approach is recommended in order to optimize the advantages derived from export spillovers. At the organizational level, it is imperative for enterprises to strengthen their technological and managerial skills in order to efficiently incorporate knowledge spillovers that originate from overseas partners and trade counterparts.

This study sheds new evidence on the export spillover effect on productivity in emerging economies, with Vietnam as the case study. The paper contributes to the research's originality by adopting novel methodological aspects to estimate local businesses' impact on total factor productivity.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0373

This study aims to investigate the impacts of travel motivations, time perspective and city image that affect travelers’ intention to visit city tourism.

The data in this study was collected through a structured questionnaire survey conducted in three big cities in the North of Vietnam (Hanoi, Hai Phong and Ha Long). The data set consists of 625 valid responses by Vietnamese tourists. Correlation analysis and structural equation modeling were used to test the causal relationships among time perspective, city image, travel motivations and tourist intention. Confirmatory factor analysis is conducted to verify the reliability and validity of each latent construct and to evaluate the discriminant validity, convergent validity, composition reliability and average variance extracted for the latent constructs.

This study finds that tourists’ travel motivations, time perspective and city image are significantly and positively associated with their intention to visit city tourism. This study also reports that tourists’ time perspective and city image are significantly and positively related to their travel motivation which is in turn significantly and positively correlated to their intention to engage in city tourism.

City tourism providers need to seek for understanding travel motivations of potential customers. City tourism products should be promoted to people who want to travel for knowledge enhancement, seeking, self-fulfillment, socializing and escape. Tourism businesses and marketers focus more on developing the overall image of city. They should have city slogan and have strategy to establish the city branding to evoke or remind the customers to come in. Since the Corona (COVID-19) pandemic impact on every nation around the world, the artificial intelligence has to be taken on city tourism to minimize the negative influence of this pandemic.

This study reveals three key determinants of tourists’ intention including travel motivations, city image and time perspective, which have unclear study in the city tourism literature. This study also explains the role of travel motivations in mediating the impacts of their time perspective and city image on their intention to visit city tourism. Improving the city image is important to attract tourists who want to engage in city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape. Tourism providers need to have a strategy for establishing the city branding to evoke or remind the customers to come in. The time perspective should be paid more attention to tourists who want to travel to city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape.

“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.

This study explored students' perspectives on designing and implementing the new clinical interprofessional education (IPE) module for chronic disease management at the primary care level in the Vietnamese context.

Students from seven different university-level healthcare programmes participated in a cross-sectional survey Course Experience Questionnaire-based study. Additionally, two open-ended questions were presented to gather qualitative data, mapping student perspectives. Statistical analyses and thematic analyses were performed.

The results show that students agree with quality statements about IPE design features, such as good teaching, clear goals and standards, appropriate workload, appropriate assessment and a blended learning approach. Answers to the open-ended comments pointed out the strengths of the IPE module in providing opportunities for interprofessional learning, improving interprofessional collaboration competencies, real-life interprofessional collaboration practice and continuous feedback from tutors. Students also reported weaknesses in the IPE module, including a lack of feedback on the care plan and logistics of the IPE module.

Students positively recognise key design features of the IPE module, combining classroom activities with standardised patient simulations, clinical practice and home visits. Chronic disease management at the primary care level is a suitable context for training students to work interprofessionally. The strengths and weaknesses identified by students could help in the redesign and future implementation of the IPE module in the Vietnamese context. They could inspire practices in Southeast Asian medical education and beyond.

Climate change increases systematic risk for firms, especially those in the agricultural industry. Therefore, the need to examine the consequences of climate-related risks on agribusiness companies' financial performance across the globe and emerging markets has risen. In this context, the paper aims to investigate the effects of climate change risks on the financial performance of agriculture listed firms in Vietnam.

The study sample includes 77 Vietnamese listed firms in the agricultural industry in the period of 2015–2019. The authors chose temperature, wind, rainfall and humidity proxies to measure climate change. The OLS regression, random regression and sub-sample analysis have been used to examine the impacts of climate risks on firms' financial performance.

Empirical results show that rain and temperature have positive impacts on financial performance of Vietnamese agriculture listed firms, while wind and humidity have insignificant impacts on financial performance.

The research helps researchers, businesses, practitioners and policymakers interested in the agricultural industry, especially those in developing and emerging countries, to develop a deep understanding of the impact of climate change risks on firm performance and therefrom prepare necessary measures to reduce the negative impacts.

This study adds to the literature stream on the impacts of climate change on financial performance. It is the first study to investigate this impact in Vietnam, a country which depends mainly on agriculture.

The aim of this paper is to incorporate the theoretically and practically appropriate affecting factors of customers’ price acceptance to develop an integrated model explaining customers’ price acceptance on the mobile phone market in Vietnam.

This current research applied the cross-sectional design. Data was collected via questionnaires and 605 responses were left after refining. The exploratory factor analysis, confirmatory factor analysis and structural equation modeling methods were applied to analyze the collected data.

Prestige sensitivity and product involvement positively affect product knowledge and price mavenism. In turn, these two latter factors together with prestige sensitivity positively affect price acceptance. Besides, product knowledge and price mavenism mediated the effects of product involvement and prestige sensitivity on price acceptance in the context of complex products, rapid product innovation, social setting of using mobile phones, highly competitive market, the low purchasing power of customers and the typical cultural values of Vietnam.

The high product involvement and high prestige sensitivity customers could make up attractive market segments, especially important in the case of launching new products; concentrating marketing efforts on building product knowledge and price knowledge for these market segments may enhance price acceptance, speed up market penetration as well as improve price communication.

This is one of the first studies explaining price acceptance on the mobile phone market in Vietnam and clarifying the mediating effects of knowledge (product knowledge and price mavenism) on the causal relationships between product involvement/prestige sensitivity and price acceptance.

This paper aims to analyze the impacts of institutional quality on trade flows of NAFTA with a panel data set of 105 countries spanning the period 2006–2017.

We applied the system generalized method of moment (GMM) estimator to investigate the impacts.

The results show that institutional quality is a positive and significant determinant of international trade flows of the NAFTA bloc and its trading partners. Our results also indicate that the impact of institutional quality depends on the level of economic development of NAFTA's trading partners. Specifically, the trade elasticity of institutional quality is the highest for NAFTA’s trade with middle-income countries and the lowest for NAFTA's trade with low-income countries. In the long run, the trade elasticity of institutional quality increased significantly, with the highest increase in the case of NAFTA's trade with medium-income countries and the lowest increase in the case of NAFTA's trade with low-income countries.

This study contributes to the existing literature in three different ways. First, we examine the differential impact of institutions on NAFTA's trade according to the level of economic development of NAFTA's trading partners. Second, we compare the differential trade elasticity of institutional quality in the long run. Finally, we support our findings through an improved research methodology by using the system GMM estimation. This method allows us to overcome the potential sample bias, omitted variable problems and endogeneity of explanatory variables.

The research aimed to identify factors influencing customer loyalty in the use of mobile telecommunication services in Vietnam, focusing on two dimensions “attitudinal loyalty” and “behavioral loyalty.”

Based on survey data collected from 820 in two of Vietnam’s major cities users, Hanoi and Ho Chi Minh City, the data were processed using SPSS and AMOS software.

The study identified four factors affecting customer loyalty to mobile telecommunication services, with perceived service quality directly impacting both attitudinal and behavioral loyalty. Corporate image and perceived switching costs influenced attitudinal loyalty, while trust affected behavioral loyalty. Moreover, perceived service quality indirectly influenced attitudinal loyalty through corporate image and perceived switching costs.

The study only focuses on a limited number of factors influencing mobile telecommunications service user loyalty, its restricted geographical sample from only Hanoi and Ho Chi Minh City, and the simplification of perceived switching costs without considering their various components, such as psychological, financial and procedural costs, which could provide more comprehensive experimental and theoretical insights.

The study reveals that customer loyalty in Vietnam’s mobile telecommunications sector is linked to the relationship between attitude toward the service provider and continued usage behavior, categorizing customer groups into genuine loyalty, latent loyalty, feigned loyalty and disloyalty. It suggests that service providers should focus on improving service quality and cultivating a positive, transparent corporate image to bolster customer trust, foster stable relationships and remain competitive in the market.

The research model combines Oliver’s (1999) theory of loyalty with Aydin and Özer’s (2005) research model, focusing on perceived service quality, corporate image, trust and perceived switching costs, examining their relationships with both behavioral and attitudinal loyalty simultaneously.