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This study enhances the financial modelling of companies undergoing an Initial Public Offering (IPO) by focusing on internal capability determinants and IPO proceeds.

A hybrid logistic regression and shallow-depth decision tree approach are employed to predict the initial three-year post-IPO performance of companies listed on the Stock Exchange of Thailand (SET) using data from 2002 to 2021.

The results demonstrate that these models not only perform competitively against complex machine learning algorithms but also surpass them in terms of interpretability, an essential feature in financial modelling. The proposed approach effectively captures the effects of each determinant, offering valuable insights into strategic resource allocation and investment decision-making during transition years.

This study introduces a novel application that integrates logistic regression with decision trees to predict multiclass financial performance, filling the gap between complex machine learning techniques and interpretable financial models. It offers practical tools for companies and investors to make informed decisions in challenging post-IPO environments.

The authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crises episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak).

The authors use the GARCH and Wavelet approaches to estimate causalities and connectedness.

According to the findings, China and developed equity markets are connected via risk transmission in the long term across various crisis episodes. In contrast, China and emerging equity markets are linked in short and long terms. The authors observe that China leads the stock markets of India, Indonesia and Malaysia at higher frequencies. Even China influences the French, Japanese and American equity markets despite the Chinese crisis. Finally, these causality findings reveal a bi-directional causality among China and its developed trading partners over short- and long-time scales. The connectedness varies across crisis episodes and frequency (short and long run). The study's findings provide helpful information for portfolio hedging, especially during various crises.

The authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crisis episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak). Previously, none of the studies have examined the connectedness between Chinese and its trading partners' equity markets during these all crises.

The current version of the Trans-Pacific Partnership (TPP), known as Comprehensive and Progressive Agreement for TPP (CPTPP) has opened itself to new membership. China formally applied to join the CPTPP Free Trade Agreement. With respect to China joining the CPTPP, some groups of researchers have argued that China’s accession would be a win-win situation for both China and CPTPP member countries. On the contrary, a group of researchers has argued that there would not be any significant gain to member countries of CPTPP. Analysis in this paper is restricted to examining the economic benefits to China by joining the CPTPP. The paper aims to make conjectures about what are the challenges China must face nationally and internationally to join CPTPP.

The methodology and the approach to do the empirical analysis concern using the stochastic frontier gravity model and the panel data covering the period 1995–2022 from the World Integrated Trade Solution developed by the World Bank.

The empirical results reveal that the CPTPP membership will facilitate China to improve its export efficiency in merchandise exports with the CPTPP member countries.

Though there are a few discussions on the accession of China to CPTPP, quantitative analysis of examining the impact of China joining the CPTPP on its export efficiency with the members of CPTPP has not been explicitly discussed in the literature. This study’s contribution is to fill this gap in the literature.

A popular production model for high-tech manufacturers is that they move most production lines abroad to produce formal products for sale and just keep a few production lines in headquarters to manufacture sample products for new product development. Under such a production model, the paper aims to develop a selection model of International Air Express (IAE) for high-tech manufacturers in airfreight of sample products using the fuzzy best-worst method (BWM).

In this paper, an assessment model based on the fuzzy BWM approach is proposed for high-tech manufacturers in selecting airfreight carriers for the shipping of sample products. Further, one high-tech electronic manufacturer in Taiwan was empirically investigated to validate the assessment model.

The result indicates that electronics manufacturer pays more attention to Promptness, Mutual trust, Freight rate and Financial status of fixed assets when selecting IAEs. Besides, FedEx is argued to be the most preferred IAE for the transportation of sample products. Based on the findings, some practical management implications were discussed.

Some literature limitations should be addressed. Initially, the adoption of the fuzzy BWM assumes independence among criteria. Nonetheless, this assumption is not yet to confirm in this study. Accordingly, this limitation leaves room for improvement in future studies. Further, in this paper, five experienced experts from the Radiant Opto-Electronics Corporation (ROEC) case were empirically surveyed. To ensure the validity of the surveying, this paper adopted an interviewing survey instead of a traditional mailed survey. However, more representative samples are still necessary to confirm the empirical results in future research.

Firstly, the proposed research model provides a systematic framework to the decision-making process, which assists high-tech manufacturers in identifying the most suitable IAEs based on multiple criteria. It has been illustrated that high-tech companies deliver their sample products requiring timely and secure means of transport. In practice, manufacturers can assess various IAEs considering some main factors, such as Operational Flexibility (OF), Partner Relationship (PR), Transportation Capability (TC) and Management, using fuzzy BWM. This process ensures the selection of IAEs aligning with their logistical needs and business priorities, ultimately enhancing operational efficiency and customer satisfaction. Secondly, empirical results from the ROEC case indicate that electronics manufacturer pays more attention to Promptness, Mutual trust, Freight rate and Financial status of fixed assets when selecting IAEs. Besides, FedEx is argued to be the most preferred IAE for transportation of sample products. In other words, ROEC should consider establishing long-term contracts with preferred IAEs (i.e. FedEx) to secure favorable rates and service commitments. On top of that, results not only provide practical information for manufacturers in selecting IAEs but also for IAE partners to improve their service policies.

The results not only provide practical information for high-tech manufacturers in selecting airfreight carriers but also for the airfreight carriers to improve their service quality.

The growing concern for food safety and quality, especially after the COVID-19 pandemic and the new normal situation, motivates governments and private sectors to improve consumers’ confidence in food systems by adopting certifications and traceability systems. The recent emergence of diverse food labeling schemes in food systems in emerging countries has sparked questions about consumers’ valuation of such labels. Nonetheless, little is known about how familiarity with, trust in and knowledge of these food labels affect consumers’ utility. This study aims to reveal consumers’ preferences for agrifood assurance to accelerate food safety practices. Specifically, we examine in what ways agrifood attributes (traceability, certification, selling places and price) impact consumers’ selection.

Data were gathered from surveying 1,365 consumers and then discrete choice experiment methodology was applied to measure consumers’ willingness to pay for safety attributes displayed on food labels in different market outlets.

Empirical evidence shows that certification is the most preferred safety attribute, with the highest level of WTP hovering around 50% more for both USDA and VietGap certificates. The second rank belongs to the traceability system, where consumers express particular interest in farming and processing information rather than more complicated information. Meanwhile, the food purchasing venue has less effect on consumers’ WTP for a certain food label. Consumers’ demographic factors, familiarity, knowledge and trust also play an important role in explaining their heterogeneity.

The findings may not be generalizable because the current study only included data from Vietnamese consumers.

Our findings provide managerial implications for food policymakers and providers in governing the food market to restore consumer confidence.

This study aims to explore how ephemeral content marketing enhances brand love and customer engagement, with a focus on the mediating role of brand authenticity, self-brand connection and advertising value.

This research was conducted using a quantitative method through an online questionnaire with a sample of 728 in Vietnam, analyzing data by using the partial least squares structural equation modeling model.

This study evaluates ephemeral content marketing through six dimensions: entertainment, trendiness, informativeness, interactivity, aesthetic quality and perceived relevance. The findings indicate positive mediating roles of advertising value, self-brand connection and brand authenticity on the impact of ephemeral content marketing on brand love and customer engagement.

This study provides a comprehensive model of factors affecting consumer perceptions of ephemeral content marketing, which can help businesses to proactively formulate strategic responses for consumers on social media platforms with ephemeral content features. This also allows them to precisely target their audience, avoiding ineffective and costly advertising efforts on social media when content quality is lacking.

This research sheds light on the six essential dimensions of effective ephemeral content that adds value to customers, ultimately leading to their love and active engagement. This substantial addition to the field of social media marketing opens up possibilities for further investigation of the dynamics across different forms of social media marketing, such as short-form videos or in various contexts such as tourism, fashion, food products and education, particularly in the context of ephemeral content in emerging markets such as Vietnam.

This study explores the contributions of fly ash, bottom ash and biomass ash from coal and biomass power plants for enhancing circular economy of construction sectors in emerging economies.

This research investigates their applications in construction, emphasizing their role in reducing environmental impact and promoting circular economy principles. Through a qualitative analysis using data from structured interviews with 41 involved stakeholders, the study highlights the economic and environmental benefits of integrating these by-products into business operations.

Currently, the cement and concrete industries can successfully adopt almost 100% fly ash, but logistic optimization is necessary to address the wet fly ash problem. The practical applications of bottom ash pose disposal challenges due to their poor adoption. Biomass ash can be alternatively implemented as a soil amendment and fertilization in the agriculture industry while current growth seems significant with the shift to a clean energy policy.

This research underscores the importance of policy support and collaboration between industry stakeholders to maximize the sustainable potential of these by-products in an emerging economy context.

The sustainability development goals (SDGs) were well-established in developing economies. Nevertheless, the literature review indicates that there is a lack of understanding regarding their backgrounds, influencing factors, challenges and practical applications for the circular economy.

This study aims to identify factors that affect the intention and actual adoption of cashless payment (ACP) among Vietnamese youths. Extending the unified theory of acceptance and use of technology (UTAUT) model with two impelling factors (perceived trust [PTR] and lifestyle compatibility [LCM]), this study also examined the mediating effect of intention to adopt cashless payment (ICP) on the relationships of UTAUT model components with the actual ACP.

All data were collected online from 422 Vietnamese youths through online survey, and partial least squares structural equation modelling was performed to analyse the data.

The study’s results illustrated the positive and significant effects of performance expectancy, effort expectancy, facilitating conditions, LCM and PTR on ICP. However, social influence was found to exhibit a negative effect on ICP. Furthermore, ICP was found to contribute no mediation effects on the relationships of any of the components with the actual ACP.

This study’s findings are widely useful for marketers and managers to plot their promotional and campaigning strategies, emphasising factors that motivate consumers to adopt cashless payment. The obtained findings also benefit architects and designers in designing products and services by consolidating lifestyle standards and other requirements of consumers. Policymakers should implement policies and strategies to enforce rules and educate the public to widely adopt cashless payment across various sectors.

This study extended the UTAUT model with two new variables, i.e. PTR and LCM.

With the rise of stakeholders' activism, integrating sustainability into business practices has become increasingly crucial for businesses. For such stakeholders, recognition from global sustainability indexes such as Dow Jones Sustainability Indexes (DJSI) allows them to evaluate organizations based on sustainable integration. Further, it helps companies influence their investors' opinions and investment decisions. In this light, this study examines the stock market response to the inclusion and exclusion of Asian companies in the Dow Jones Sustainability World Index (DJSI World) and the Dow Jones Sustainability Index Emerging Markets (DJSI EM).

The study has employed the event study methodology to understand the intermediate and immediate abnormal reaction of the inclusion and exclusion event from the DJSI World and DJSI EM indexes from September 30, 2012, to November 30, 2023.

Findings show that changes in the DJSI indexes have asymmetric reactions in different markets. The reaction to changes in DJSI indexes is more pronounced for DJSI EM than DJSI World. Inclusion in DJSI World showed mixed reactions, while exclusion typically resulted in adverse reactions around the event day. Inclusion in DJSI EM generated a positive reaction, while exclusion had a mixed reaction. The study found no significant difference in the intermediate reaction of inclusion/exclusion between DJSI World and DJSI EM. Additionally, investors' immediate reactions from developing versus developed countries differed, but the reaction variation disappeared in the whole event window.

With a considerable increase in sustainable practices in Asia, companies must determine whether investors recognize and reward the company’s sustainability efforts. No other study has previously investigated the impact on Asian companies that are rapidly rising in global sustainability rankings. Furthermore, no study has examined the comparative reaction of inclusion or exclusion in two independent sustainability indices – DJSI WORLD and DJSI EM.