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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.

This study aims to explore how the three dimensions of karma – karmic duty orientation, indifference to rewards and equanimity – influence empathy and moral obligation, with implications for social economics.

The research was conducted on a valid sample of 401 university students in Vietnam, using hierarchical regression to test formulated hypotheses.

The analysis reveals that karmic duty orientation and indifference to rewards significantly enhance empathy and moral obligation, indicating that individuals with a strong sense of moral duty and intrinsic motivation are more likely to engage in ethical and pro-social behaviors. Equanimity was not found to impact empathy or moral obligation significantly.

Organizations and policymakers should focus on cultivating moral duties, intrinsic motivations and resilience in ethical behavior to promote social responsibility and sustainability and ensure long-term social and economic stability.

This study contributes to social economics by integrating ethical dimensions of karma into the analysis of moral behavior, offering a fresh perspective that challenges traditional economic models centered on self-interest. The research provides a comprehensive framework for understanding how moral principles influence economic decisions and social outcomes.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0571

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.

This study aims to enhance singularity detection in non-stationary signals by introducing the frugal wavelet transform (FrugWT), a novel variation of the wavelet transform.

The frugal wavelet transform, based on a modified first-level discrete wavelet transform decomposition, is compared with traditional discrete wavelet transform. The performance of these transforms is evaluated using signals derived from finite element analysis of a functionally graded tapered beam made of porous material.

The frugal wavelet transform significantly outperforms the discrete wavelet transform in detecting singularities within the analyzed signals. It offers more accurate detection of singularities and local abrupt changes, demonstrating its effectiveness for signal analysis.

This paper contributes to the field by proposing the relative frugal wavelet transform as a novel enhancement of the frugal wavelet transform. It provides a significant improvement in detecting subtle singularities in one-dimensional signals, with potential applications in advanced signal processing and analysis across various scientific domains such as electrical engineering, automotive, aerospace engineering, civil engineering, marine engineering and medical signal processing.

The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with a particular resonance in education. This research aims to integrate the information systems success (ISS) model with the stimulus-organism-response (SOR) paradigm to explore how information quality and service quality individually, jointly, congruently, and incongruently affect higher education students’ trust in ChatGPT, satisfaction, and continuance usage intention.

We employed a sophisticated methodology - polynomial regression with response surface analysis - and conducted our study with a sample of 468 higher education students selected in Vietnam using a three-phase stratified random sampling approach to evaluate the hypotheses developed.

The findings indicate that both information and service quality influence higher education students’ trust directly and positively in ChatGPT, satisfaction, and continuance usage intention. Moreover, a balance between information quality and service quality can increase students’ level of trust in ChatGPT, satisfaction, and intention to continue using it. Nevertheless, a significant incongruity between information quality and service quality will likely reduce trust in ChatGPT, satisfaction, and the intention to continue using the service.

This research is one of the first to offer a shred of empirical evidence about how information quality and service quality interact congruently and incongruently with each other to trigger higher education students’ trust in ChatGPT, satisfaction, and continuance usage intention of ChatGPT. It thus offers valuable insights for leveraging the benefits and mitigating potential challenges associated with adopting this innovative technology in educational settings.

This chapter focuses on the potential of urban agriculture to support progress in SDG targets 2.1, 2.2, 2.3, and 2.4 in Ho Chi Minh City (HCMC), Vietnam. The chapter integrates findings from the British Council-funded project, ‘Urban Resilience from Agriculture through Highly Automated Vertical Farming in the UK and Vietnam’, undertaken in collaboration with Middlesex University, Van Lang University, and local agricultural stakeholders in HCMC. Food security in the city faces multiple challenges ranging from significant in-migration, decreasing area of cultivated land, the impact of the Covid-19 pandemic that continues to depress the economy and disrupt food supply chains, and climate change impacts affecting the environment and people throughout the city. HCMC accommodates a substantial agricultural sector, which is evolving from traditional to modern production practices. City’s leaders established numerous policies that emphasise green, circular economies, climate change resilience, and low carbon emissions fuelling demand for agricultural solutions that integrate traditional and modern technologies that can be embedded in the local topography, soil types, architectural space, and native culture. Findings from greenhouse trials, community awareness surveys, and stakeholder-led workshops point to a range of high-technology-supported agriculture models that, if applied flexibly throughout the varying context of the urban area, have good scope to help Ho Chi Minh City and meet its growing need for food as well as its sustainability aspirations.

This study aims to integrate the Social Cognitive Career Theory with the Theory of Planned Behavior to unravel the intricate dynamics of how engaging with ChatGPT affects individuals’ digital entrepreneurial intention, underlying the serial mediation mechanism of the cognitive and reasoned career process.

This research use a cross-sectional design, drawing on a sample of 604 higher education students from six universities in Vietnam. Multiple regression analyses were conducted to test the formulated hypotheses after assessing the reliability and validity of scales through Cronbach’s alpha and confirmatory factor analysis.

The results indicate that ChatGPT adoption significantly increases perceived AI competencies, entrepreneurial opportunity recognition and digital entrepreneurial self-efficacy. Digital entrepreneurial self-efficacy was found to have a positive impact on attitudes toward digital entrepreneurship, which, in turn, fosters digital entrepreneurial intention. ChatGPT adoption thus poses serial indirect impacts on digital entrepreneurial intention through the sequential pathways of enhanced digital entrepreneurial self-efficacy and positive attitudes.

This study’s findings provide valuable recommendations for entrepreneurs, higher education institutions and policymakers.

This research contributes to the entrepreneurship literature by integrating two prominent theoretical frameworks to elucidate how ChatGPT adoption impacts digital entrepreneurial intentions. The serial mediation model expands that understanding of the complex cognitive and reasoned processes involved, providing a novel perspective on the role of AI in entrepreneurship.

Little is known about how religious-related beliefs (i.e. karmic beliefs and beliefs in a just world) might affect consumers to engage in more environmentally friendly behavior. Drawing on the justice motive theory, this study aims to explore the individual, complementary, congruent and incongruent impacts of karmic beliefs and belief in a just world on consumers’ proenvironmental consumption.

A sample of 736 consumers was recruited by means of a mall-intercept survey in the most populus cities in Vietnam. An advanced technique – polynomial regression with response surface analysis – was used to test the hypothesized model, whereas the PROCESS macro approach was used to estimate indirect effects.

The findings indicate that while karmic beliefs do not directly affect proenvironmental consumption, they can inspire environmentally friendly behaviors through belief in a just world. High levels of both beliefs enhance proenvironmental consumption, but imbalanced levels erode such behaviors. Importantly, the findings revealed gender differences concerning the role of religious beliefs in influencing proenvironmental consumption among male and female consumers.

The findings of this study offered several theoretical and managerial implications for proenvironmental consumption.

The research provides new insights into how religious beliefs (karmic beliefs and belief in a just world) affect, interact, balance and imbalance with each other to trigger proenvironmental consumption. The research also contributes to the sustainable consumption literature by indicating the mediation roles of belief in a just world and proenvironmental consumption intention in the relationship between beliefs in karma and actual proenvironmental consumption behavior, as well as offering empirical evidence about the gender differences regarding these relationships.

This study seeks to evaluate gender diversity within family members and analyze its effects on financial distress in firms listed in Vietnam.

The research employs a Generalized Method of Moments (GMM) regression model to assess the impact of gender diversity on corporate board performance, including factors such as the presence and proportion of female directors, female directors with family ties and the gender of CEOs. The study covers 152 listed companies on the HNX and HOSE exchanges from 2015 to 2022. The GMM model is chosen for its robustness in dealing with endogeneity issues and its ability to provide consistent estimates in the presence of potential correlation between explanatory variables and unobserved effects. This approach allows for a more accurate evaluation of how gender diversity influences operational efficiency and how these companies manage financial difficulties within the sample period.

Our research shows that diversity on the Board of Directors (BOD) as well as female CEO employment not only does not reduce the financial distress of businesses but also increases this situation. However, being both a female and a family member of the BOD is negatively related to financial distress. This can help female members who have connections with the family contribute to the work of adjusting and monitoring the business's operations to suit the family's goals, contributing to improving the operational efficiency of the business. BOD maximizes profits and contributes to promoting the company's sustainable development goals. From there, limited ability to travel and financial exhaustion.

The empirical results obtained from this study contribute to building a solid knowledge base, supporting businesses in the policymaking process and providing empirical evidence to enrich learning materials.

This study provides empirical evidence on how gender diversity influences the financial challenges of businesses, especially within the context of publicly listed companies in Vietnam. It stands out from previous literature by specifically focusing on listed companies in Vietnam. By analyzing the impact of gender diversity on financial difficulties, this study also clarifies how various factors can influence management and business development.

This study aims to investigate the association between corporate governance (CG) and the corporate social responsibility (CSR) information disclosure as well as the moderating role of state-ownership between CG and CSR disclosure.

To examine the relationship between CG and CSR disclosure, this study used the feasible general least squares and generalized method of moments method on a sample of 165 non-financial quoted companies over the 2015–2018 period, which account for about three-fourths of the Vietnamese stock exchange.

The findings suggest that enterprises with smaller board size consisting mainly of independent directors have a higher CSR disclosure level. Moreover, when the chief executive officer is concurrently the chairman of the board, the level of CSR disclosure falls. Additionally, the moderating role of state ownership enhances CSR disclosure.

The empirical results of this study form a solid foundation for policymakers and other stakeholders’ decisions in investing or establishing policies.

This study provides empirical evidence on the relationship between CG and CSR disclosure in Vietnam – a developing country with no legal requirement on CSR disclosure. Moreover, this study emphasizes the moderating role of state ownership between CG and CSR disclosure, which clarifies the role of state ownership in establishing CG mechanisms.