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This paper aims to explore how family culture can contribute to support the development of corporate social responsibility (CSR) initiatives in a Korean immigrant enterprise in Vietnam.

This research highlighted a critical case, in which entrepreneurs and most of the organisational members share a common family culture and the culture support management capability of an entrepreneur, during the introduction of a new organisation initiative. In addition, Bourdieu’s tripartite analytical framework of field, capitals and habitus was adopted to facilitate the case analysis.

Firstly, the motivation behind the development of CSR came from the intention to gain access to the local capital market. Secondly, family culture plays an important role in maintaining the support of organisational actors to support the decision of the entrepreneur.

This research contributes to the emerging literature about CSR and immigrant entrepreneurship. This study sheds light on how family culture can aid the leadership of CSR initiatives and CSR practices in the context of the immigrant organisation.

This study identifies processes that immigrant entrepreneurs can use to inspire organisational members to engage in a new initiative in which organisational culture and norms can help to overcome challenges to enable engagement with a novel initiative.

This paper explains how family culture supports the leading role of an entrepreneur, in which the absolute pressures inherited from family values and traditions in the place of origin help an organisation to overcome existing barriers such as lack of time and financial support towards a new initiative.

Static converters generate current harmonics in power grids. For numerous studies, analytical frequency modeling is preferred to carry out their harmonic modeling in the context of sizing by optimization. However, a design by optimization has to consider other constraints, e.g. modeling constraints and operating constraints. In this way, this paper aims to focus on applying an analytical frequency modeling on the sizing by optimization of an aircraft electrical power channel.

The paper aims to size a multiphysical system by optimization. In this way, the sizing of an aircraft electrical power channel by optimization has been carried out. The models of all the channel components are analytical. Specifically, the frequency model of the power electronics is based on Tran et al. (2016) and is made of equalities and inequalities. Due to this modeling choice, the optimization satisfies hundreds of constraints, such as modeling constraints and static converter operating constraints. Furthermore, transient constraints are only verified after optimization.

The difficulty is the modeling of the system by taking into account nonlinear implicit equations having several solutions. A solution is the addition of inequality constraints to the model to guide the implicit solving. Furthermore, this greatly helps the optimization algorithm to find the good operating mode of the static converter, at steady state. This aspect is indispensable to validate the sizing model.

The number of the configurations per operating period of the static converters is defined a priori and limited.

The analytical model for the sizing is formulated as a constrained optimization problem. Its solving and the sizing by optimization are carried out by the same optimization algorithm.

While the application of blockchain technology in the organic food supply chain has been increasingly recognized, the extant knowledge of how blockchain-driven traceability influences consumer perceptions and purchase intentions remains underexplored. Grounded in the stimulus-organism-response theory, this study aims to construct a moderated mediation model to examine blockchain-enabled traceability’s direct and indirect impacts on organic food purchase intention through perceived blockchain-related information transparency, considering the moderating role of blockchain-based trust.

A purposive sample of 5,326 Vietnamese consumers was surveyed using the PROCESS macro to test the proposed hypotheses.

The findings indicate that blockchain-enabled traceability significantly enhances perceived blockchain-related information transparency, which positively influences organic food purchase intention. Furthermore, blockchain-based trust was found to positively moderate both the direct effect of transparency on purchase intention and the indirect impact of traceability on purchase intention through transparency.

Practical and managerial insights for stakeholders in the organic food sector are also discussed.

These results contribute to the literature by extending the stimulus-organism-response model to the context of blockchain technology in supply chains and highlighting the critical role of trust in moderating the effectiveness of technological innovations.

This study aims to investigate what drives tourists to continue using ChatGPT for travel purposes. This study focuses on the impact of parasocial interaction on tourists’ intention to continue using ChatGPT. It also examines how satisfaction mediates this relationship and the role of technology anxiety as a moderating factor.

Using a sample of 606 tourists in popular Vietnamese tourist destinations, this study used the SPSS PROCESS macro (Model 4 and Model 14) to estimate the research model.

The study found that tourists’ satisfaction and parasocial interactions positively influenced their intention to continue using ChatGPT for travel purposes. The tourists’ satisfaction was found to play a partial role in mediating the relationship between parasocial interactions and their intention to continue using ChatGPT. Technology anxiety was found to be a negative moderator of the direct effect of satisfaction and the indirect impact of parasocial interaction on this intention.

This study stands out as a pioneering exploration into the novel intersection of parasocial interaction, satisfaction, and technology anxiety and their influence on tourists’ intention to persist with using ChatGPT for travel-related purposes.

The purpose of this paper is to develop a model to build visibility for mitigating supplier risk. The model has shown that visibility can be an important information-based capability for a buying firm to mitigate supplier risk. Such an importance, however, may not hold in all settings but is contingent on the power-dependence structure between a buyer and its supplier. In particular, under high dependence of buyer on supplier, visibility is more needed to mitigate risk. In reverse, the importance of visibility is reduced if buyer is not dependent on its supplier. Two sides of antecedents to visibility are also posited and tested.

Seafood processing firms in Vietnam are surveyed to test the model. Reliabilities and validities of measures are tested before the structured analysis. To test the model, partial least square (variance-based structural equation modeling) with 500 boostrapping samples is used.

For the samples of seafood processing firms in Vietnam, visibility into their suppliers are found to be the key in mitigating supplier risks when the firms depend highly on their suppliers. In the reverse cases, the importance of visibility is reduced. Visibility is also found to be anteceded by information technology integration between buying firms and their suppliers.

The model helps develop and empirically test an important approach in proactively mitigating supplier risk. That is to develop buying firm’s visibility into a key supplier. Further, the model is developed to test the ways that visibility can be built. Those include both soft and hard sides of facilitating information exchange from supplier to its buyer. Thus the model is contributed to both the literature of supplier risk and power-dependence.

This article aims to draw a conceptual model that integrates the view from the entrepreneurial event model with entrepreneurial education and prior self-employment experience. The model tests the role of entrepreneurial education on the formation of intentions to become an entrepreneur and examines whether prior self-employed experiences moderate the route from entrepreneurial education, entrepreneurial perceived feasibility (PF) and perceived desirability (PD) into the entrepreneurial intention (EI).

The authors operated on a sample of 389 master's students by applying Cronbach's alpha, exploratory factor analysis, confirmatory factor analysis and structural equation modelling to illustrate the links between constructs.

The study found that entrepreneurial education is positively correlated with PF, PD, and intention to enter entrepreneurial activities. PD is determined as a partial mediator in the entrepreneurial education–intention link and full mediator in PF and EI. Moreover, the study revealed that prior self-employed experiences serve as a positive moderator in the path from entrepreneurial education and PD to EI.

The study offers several recommendations based on research findings so as to nurture and promote entrepreneurial activities among master's students.

The current research provides novel insights about the relationship between entrepreneurial education and intentions to become an entrepreneur over and about the central antecedents in the entrepreneurial event model and moderation effects of prior self-employed experiences.

Social enterprises can be found across Vietnam. However, little is known about how these organizations contribute to the country’s broader efforts to meet the United Nations Sustainable Development Goals (SDGs). This paper aims to explore whether and to what extent differences in social impacts by social enterprises may be explained by the psychological characteristics of social entrepreneurs and cross-sector “ecosystem” partnerships in training, networking, consultation and funding.

A survey of N ≈ 352 Vietnamese social entrepreneurs explored relationships between individual entrepreneurial orientation (EO), social identity, self-construal and personality, with elements of ecosystem partnerships (access to training, networking, consultation and funding) and social impacts over the previous three years (growth/jobs created and people helped, termed efficiency and generosity, respectively).

Ecosystem partnerships factored into frequency and quality of partnerships. Frequency predicted social enterprise efficiency (p < 0.05) and quality predicted generosity (p < 0.01). Frequency of partnerships further moderated (boosted) significant links between EO (risk innovation, p < 0.05) and efficiency; and between social identity (communitarianism, p < 0.01) to efficiency; plus, quality of partnerships moderated a link between EO (risk innovation) and efficiency (p < 0.05).

Ecosystem partnerships may foster social enterprise development through at least two pathways (equifinality), i.e. frequency and quality. The former is linked to efficiency and the latter to generosity, signaling interrelates but distinguishable outcomes. Direct links between EO and communitarian social identity leading to social enterprise development were additionally boosted (p < 0.05) by the frequency and quality of partnerships. Thus, ecosystem partnerships brought about both direct and indirect benefits to social enterprises in Vietnam.

Social impacts of efficiency and generosity support both decent work (SDG-8) and poverty eradication (SDG-1), through ecosystem partnerships in development (SDG-17).

To the best of the authors’ knowledge, this is the first empirical study to show that social enterprises in Vietnam may enhance social impacts through a combination of effects from social entrepreneurs and ecosystem partnerships. Current models of social enterprises in low-income countries like Vietnam can be expanded to include ecosystem partnerships and social outcomes relating to SDGs 1 and 8, and especially the multiple path benefits that ecosystem partnerships (under SDG-17) bring to social enterprise development.

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 paper aims to explore green technology (GT) transfer through the perceptions of both business managers and technology specialists, who have been identified as the foremost practitioners of this practice.

A total of 22 semi-structured interviews were conducted with business leaders and technology scientists. The interviewees were asked to share their views on the motivations for importing GT; their familiarity with, knowledge of and understanding of GT transfer and the current GT performance in their organization; the key strengths of GT transfer and its limitations; the barriers to the use of GT; and their usefulness. The theoretical framework of actors’ resistance to institutional demands of Oliver (1991) is used as a theoretical lens to investigate the perceptions of the interviewees.

This study suggests that despite some benefits of the adoption of GT, such as increasing competitive advantage and improving green operations, there are huge concerns over the use and importation of GT. More specifically, almost all the technicians were concerned about the technical risks resulting from the lack of operational tests, the old technologies and the lack of knowledge transfer. Meanwhile, the paucity of specific regulations, guidance and environmental standards has been reported by business managers as one of the primary constraints for this movement.

This research contributes to the emerging literature on GT transfers in the developing world. It proves that the lack of communication and the scarcity of a true champion for GT efforts have reduced the efficiency of GT transfer.

By shedding light on the intricate nature of the relationships arising from GT adoption in organizations, this paper aims to support business leaders and standard setters in making a decision regarding the implementation and promotion of GT transfer, especially in the context of developing countries.

To the best of the authors’ knowledge, this is one of the first studies to explore eco-friendly technology transfers in a developing country from the micro-level perspective of both business and technology practitioners of GT-recipient organizations.

This systematic review of the current gender inequality issues in operations and supply chain management (OSCM) seeks to illuminate the multifaceted aspects of this issue and their various implications for the field.

Employing systematic literature review and Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA) methodologies, this research delves into an analysis of 238 journal articles spanning a 47-year period. The objective is to discern existing voids and put forth actionable suggestions that align with the United Nations’ Sustainable Development Goal Number 5 (SDG5) in the context of men and women, which pertains to realizing gender equality and empowering girls and women.

The results show a significant increase in published articles over the period. However, only five literature review articles were found that specifically address gender inequality in OSCM. The five common themes impacting gender inequality in this field are gender issues, mindset, transportation disparities, human resources and gender roles in OSCM, alongside sustainability, mobility and government policy intersections. The paper emphasizes the need for further research on these themes. It also suggests implications for educators, researchers, companies, OSCM departments and policymakers to achieve SDG5.

This study offers valuable insights by comprehensively reviewing and systematically analyzing the prevailing gender inequality issues within OSCM. It accentuates the significance of gender equality in OSCM, augmenting the burgeoning discourse and catalyzing concerted endeavors for gender equality.