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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 explores the dynamics of companies’ green knowledge sharing (GKS) within the tourism sector, focusing on its influence on green electronic word-of-mouth (eWOM) intention via the mediation of tourists’ green engagement behaviour. Additionally, the study considers the moderating effects of green destination psychological ownership and perceived injunctive norms of green self-expression online on the pathway from green knowledge sharing to tourists’ green engagement behaviour to green eWOM.

The primary dataset, consisting of 902 valid responses obtained through time-lagged surveys administered to environmentally conscious tourists, was analysed using structural equation modelling (SEM) by PROCESS package for R.

Findings indicate that green destination psychological ownership enhances the mediation effect of tourists’ green engagement behaviour on green eWOM intention, reinforcing the sense of personal investment and belonging among tourists. Conversely, perceived injunctive norms of green self-expression online moderate this pathway by shaping the social norms and acceptability of green behaviours online.

To effectively spread green knowledge, tourism businesses should focus on enhancing tourists' psychological ownership of green destinations and align their communications with the perceived norms of green expression online. This strategy not only deepens tourists' environmental commitment but also stimulates active participation in spreading sustainable practices.

This study contributes to the green marketing literature by revealing how intrinsic and extrinsic motivational factors interact to influence green engagement and eWOM intention in the tourism industry, aiding marketers in strategically fostering green value co-creation and enhancing sustainable practices through targeted green knowledge sharing.

This study aims to study the moderating effects of private ownership and government support on the relationship between outsourcing and product innovation in entrepreneurial ventures in a transition economy.

The data of 10,296 Vietnamese entrepreneurial ventures from the four rounds of the survey conducted by the General Statistics Office (GSO) of Vietnam to investigate the moderating effects of private ownership and government support on the association between outsourcing and entrepreneurial ventures’ product innovation performance. The Probit regression model is employed to estimate such associations.

Our research uncovered that the impact of outsourcing on the likelihood of product innovation is more significant for entrepreneurial operations characterized by a substantial degree of private ownership and government backing as opposed to those without.

The results of our research indicated that the resource-based perspective and extended resource-based view (ERBV) are essential in examining the impact of gaining resources or skills from external sources on the growth of entrepreneurial enterprises. These ideas have significance and importance not just in industrialized economies but also in countries undergoing transition. Our findings suggest that entrepreneurial enterprises should have the ability to manage a wide range of resources and make decisions about which activities should be handled internally and which should be delegated to other parties.

Our findings also imply that entrepreneurial ventures should be able to control many resources and choose which tasks should be performed in-house and which should be outsourced to third parties.

By adopting and leveraging the resource-based view (RBV) and extended resource-based views (ERBV), our study developed a theoretical model about private ownership and government support for moderate outsourcing’s impact on entrepreneurial innovation in a transition economy.

Purpose: Green consumerism is on the rise in the 21st century, impelling businesses to prioritise environmental awareness and expand eco-products to keep up with the growing demand. This research examines how social media (SM) and moral obligations (MO) affect consumer views and their propensity to make eco-friendly choices.

Methodology: Data were gathered from 508 participants using an adaptive questionnaire. The proposed model was tested using ‘structural equation modelling’.

Findings: The results show that electronic word-of-mouth (EWOM) and the intent to acquire green goods favourably impact consumer behaviour. MO positively influences attitudes and intentions to make green purchases (GPI), with attitudes acting as a mediator between MO and GPI.

Implications: This research is of utmost importance for marketers wanting to enhance their SM communication strategies to influence consumers’ opinions of green products and raise the possibility that they would make environmentally conscious purchases.

The emergence of artificial intelligence technologies, like ChatGPT, has taken the world by storm, particularly in the education sector. This study aims to adopt the unified theory of acceptance and use of technology to explore how effort expectancy (EEC) and performance expectancy (PEE) individually, jointly, congruently and incongruently affect higher education students’ intentions and actual uses of ChatGPT for their learning.

An advanced methodology – polynomial regression with response surface analysis – and a sample of 1,461 higher education students recruited in Vietnam through three-phase stratified random sampling approach were adopted to test developed hypotheses.

Both EEC and PEE were found to have a direct positive impact on the likelihood of higher education students’ intention to use ChatGPT, which in turn promotes them actually use this tool for learning purposes. Conversely, a large incongruence between EEC and PEE will lower the level of intentions and actual uses of ChatGPT for learning. However, when there is a growing incongruence between EEC and PEE, either in a positive or negative direction, the likelihood of students’ intentions to use ChatGPT for learning decreases.

Some practical implications are subsequently recommended to obtain advantages and address potential threats arising from the implementation of this novel technology in the education context.

This study shed the new light on the educational setting by testing how higher education students’ intentions to use ChatGPT and subsequent actual uses of ChatGPT are synthesized from the balance between high EEC and PEE.

This study aims to analyse the consumption inequality between farm and non-farm households in rural Vietnam, using the data from the 2016 Vietnam household living standards survey.

The present paper applies the “recentered influence functions (RIF)” in “Oaxaca-Blinder (OB)” type decomposition as proposed by Firpo et al. (2018) to allow for the flexible distribution of the outcome variables and the non-randomness of non-farm employment that violates the classical linearity assumption.

Non-farm households have significantly higher per capita consumption expenditure than farm households for the entire distribution. The gap in expenditure is large at low percentiles and narrowing with higher percentiles. At 10th percentile, the gap is estimated at 27.1%, but it is decreasing to 11.1% at 90th percentile. Most of the gaps are explained by the differences in the observed characteristics between farm and non-farm households such as ethnicity, education, income, internal transmittances and household composition. Non-farm households are endowed with more productive factors that result in higher per capita consumption expenditure.

Gaps in ethnicity and education are found to be key predictors of the inequality in consumption expenditures between farm and non-farm households, then, government policies that are aimed at increasing access to non-farm employment and education for ethnic minorities and for rural poor households are pathways to improve rural household welfare and hence reduce inequality.

This research aims to investigate how organisational and contextual factors affect supply chain collaboration and how that, in turn, influences firms' competitive advantage in the garment industry in the context of Vietnam, a developing country.

Following a qualitative research design, in-depth interviews were conducted with senior managers who are involved in supply chain collaboration in twelve garment companies in Vietnam. The data were recorded, transcribed and analysed using NVivo 12. Based on the literature and interview findings, a research model underpinned by the relational view (RV) and institutional theories, with organisational and contextual factors being the antecedents and competitive advantage as the outcome of supply chain collaboration, was proposed.

The findings showed that organisational and contextual factors induce both internal, supplier and customer supply chain collaboration. There is also a positive relationship between supply chain collaboration and competitive advantage. Based on these findings, a strategy matrix for supply chain collaboration is also put forward.

This is one of the first empirical attempts to investigate the role of organisational and contextual factors as potential antecedents of supply chain collaboration and its effects on competitive advantage in the garment industry. The research is expected to enrich both the literature and management practices on supply chain collaboration in the context of developing countries.

This chapter clarifies the “dark tourism” in Vietnam; a case study of Hoa Lo Prison Relic. Development orientation of “dark tourism” in Vietnam contributes to healing the wounds of war. The author mainly uses a system approach, method of analysis and synthesis, and method of comparison. “Dark tourism” in Vietnam has not really developed as a specific type of tourism like ecotourism or meetings, incentives, conferences, and exhibitions (MICE) tourism. At Hoa Lo Prison historical site, “dark tourism” has been effectively exploited: (1) in the first 6 months of 2023, Hoa Lo Prison welcomes nearly 295 thousand visitors, charging fees of 7 billion VND, the situation of “sold out” takes place regularly; (2) many unique tourism products, one of the successful and widespread tourism products must be mentioned the “night tour” experience; (3) many creative forms of sightseeing with automatic explanation system so that visitors can experience 35 historical stories in their own way; and (4) always create the best conditions for visitors’ sightseeing experience. To promote dark tourism in Vietnam, it is necessary to execute some schemes: (i) enhance the sense of responsibility for peaceful tourism in the operation of monuments; (ii) stakeholders coordinate the organization of the tour program and tourist routes with appropriate contents and forms for each target group, especially foreign tourists; (iii) there is cooperation between national and international experts in organizing the “dark tourism” program aimed at peace, preventing the risk of war and conflict, and overcoming the consequences of war; and (iv) application of scientific and technological achievements in “dark tourism” activities.

This study aims to examine the influence of big data analytics (BDA) on environmental performance (ENP) in the post-COVID-19 context in Vietnam, as a developing country. In which, this study considers environmental process integration in accounting reports as a mediator variable. Furthermore, digital learning orientation (DLO) and environmental strategy (ES) are proposed as the moderator variables for relationships in the proposed model.

Data was collected by survey method via email with convenient sampling method. In total, 611 emails, including the survey, were sent to executive managers of Vietnamese manufacturing companies listed on stock exchanges. The final sample of 419 responses was used for analysis.

By using the partial least squares structural equation modeling, this study’s results elucidate that BDA positively affects ENP. Moreover, DLO positively moderates the nexus between BDA and environmental process integration in accounting reports, while ES plays a positive moderating role on the nexus between environmental process integration and ENP.

In terms of managerial implications, this paper mentions pretty attractive features of using modern technique and ENP. This research emphasizes the key role of the BDA for both reporting and accounting performance (e.g. environmental process integration and ENP) of the company. Thus, managers should examine implementing BDA when necessary to make accounting reports more transparent and modern, thereby enhancing the organization's ENP. Particularly, managers should focus on improving the organization's ENP indicators.

This study complements the ENP literature by showing a positive effect of BDA and environmental process integration on ENP. Additionally, this study’s results determine the efficacy of DLO and ES as well as their regulatory roles. Finally, this study was conducted to supplement empirical evidence on ENP in the post-COVID-19 context in developing countries, specifically Vietnam.

The purpose of this study is to examine the nonlinear relationship between executive stock options and strategic risk taking and to investigate the moderating effect of CEO characteristics (CEO age and tenure). This study aims to analyze whether the impact of executive stock options on strategic risk-taking is moderated by CEO compensation and characteristics.

This study is based on a sample of 90 French firms for the period extending from 2008 to 2021. To deal with the nonlinear relationship, the author adopts a dynamic threshold model.

The results reveal that the impact of CEO stock options on firm strategic risk-taking is nonlinear and moderated by CEO age and tenure. Using research and development (R&D) as a measure of risk taking, the author show a positive relationship between executive stock option and R&D below the threshold value of stock option, CEO age and tenure and it becomes negative above.

Stock options, CEO age and tenure shows that CEO characteristics and compensation structure are major determinants in defining the direction of the nonlinear relationship between CEO stock options and firm strategic risk-taking.

The author extends through this paper the existing research on executive stock option, strategic risk-taking and CEO characteristics using a nonlinear dynamic estimator that caters to the problems of endogeneity. Insights from the findings provide boards and regulators with a better understanding of structuring CEO compensation.