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This cross-culture study aims to investigate how two cultural values, collectivism (COL) and long-term orientation (LTO), integrate with each other to trigger green consumption.

Using data from three consumer surveys in Vietnam, South Korea and Poland, this study employs polynomial regression with response surface analysis as a methodological approach to assess the complementary, balanced and imbalanced effects of cultural dimensions (COL and LTO) on consumers' green purchase intention (GPI) and behaviors.

First, this study found that, in Vietnam, both COL and LTO had a significant positive effect on GPI. However, only COL demonstrated a significant effect on GPI in South Korea and Poland. Second, this study also revealed that, in all three countries, when COL and LTO were in agreement, the degree of GPI was higher when COL and LTO were higher. The findings also showed that an increase in the imbalance between COL and LTO integration in the Vietnam sample led to a decrease in consumers' GPI. However, this relationship was insignificant in the South Korea and Poland samples.

This study enriches the understanding of green purchase behavior (GPB) and its underlying cultural factors within a cross-cultural framework. In particular, it enhances the knowledge of the debated relationship between different facets of cultural values (specifically, COL and LTO) and pro-environmental behavior, shedding light on this complex relationship in the context of the three different countries.

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.

The purpose of this study is to use the theory of planned behavior and a moderated mediation model to bridge the gap between attitude, intention and behavior in the context of green consumption. The study will focus on how environmental corporate social responsibility initiatives play a positive moderating role in the mediation effect of green purchase intention on the relationship between attitude toward green products and environmentally friendly purchasing behavior.

A representative sample of 583 consumers was gathered from five major cities in Vietnam using a mall-intercept survey method. The moderated mediation model and the formulated hypotheses were tested using the PROCESS macro.

The results of our study reveal that green purchase intention is not only positively and directly associated with environmentally friendly purchase behavior but also significantly mediated the green purchase attitude–behavior link. Environmental corporate social responsibility initiatives were found to positively moderate the direct effect of attitude toward green products on green purchase intention. More importantly, our study also yielded that the mediation effect of green purchase intention on the relationship between attitude toward green products and environmentally friendly purchase behavior is positively moderated by environmental corporate social responsibility initiatives. As such, the indirect impact of environmentally friendly purchase attitude on green purchase behavior through green purchase intention was stronger when the level of environmental corporate social responsibility initiatives was higher.

The results of this study have practical implications and offer valuable recommendations for marketing practitioners, administrators and policymakers. These recommendations can help promote corporate social responsibility practices among firms, encourage environmentally friendly consumption among consumers and contribute to the overall sustainable development of the country.

This study has made significant contributions to the existing literature on pro-environmental behavior by addressing the gap between attitude, intention and behavior in sustainable consumption. Furthermore, to the best of the author’s knowledge, this is the first study to use a moderated mediation model to shed light on the moderating effect of environmental corporate social responsibility initiatives on the direct and mediated relationships among attitude, intention and behavior in the context of green consumption.

Little is known about how religious beliefs can motivate consumers to behave more pro-environmentally. Drawn on an integrated model of the theory of planned behavior, the norm activation model and the self-determination theory, this study aims to explore the effects of religious beliefs (especially, karmic beliefs (KB) and beliefs in a just world (BJW)) on consumers' pro-environmental behavior.

A sample of 736 consumers recruited from the eight most populous cities in Vietnam using the mall-intercept survey approach and structural equation modeling (SEM) was utilized to test the hypothesized model and hypotheses.

The findings indicate that KB and BJW can increase consumers' green intrinsic motivation, which subsequently encourages them to engage in pro-environmental consumption. Moreover, awareness of consequences (AOC) and ascription of responsibility (AOR) serially indirectly inspire consumers' sustainable consumption through serial mediators, including personal norms (PN), attitudes toward green products and green purchase intention.

Based on the findings, some theoretical and managerial implications for pro-environmental consumption are provided.

The study offers fresh perspectives on the role of religious beliefs in pro-environmental research. Additionally, this study sheds new light on the marketing literature by integrating the theory of planned behavior (TPB) and norm activation model (NAM) with self-determination theory (SDT) to explore the underlying mechanisms and effects of psychological components on consumers' pro-environmental behaviors.

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.

Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms (e.g. digital entrepreneurial opportunity exploration and exploitation), and how these individually, congruently, and incongruently trigger their behavioral responses (e.g. nascent digital start-up activities).

Utilizing a sample of 1326 MBA students in Vietnam with a stratified sampling approach, multiple linear regression and polynomial regression with response surface analysis were used to test hypotheses.

The findings reveal that ChatGPT adoption in entrepreneurship and perceived AI competencies have a positive and significant impact on individuals’ digital entrepreneurial opportunity exploration and exploitation, which in turn, positively affects nascent digital start-up activities. Moreover, the study also reports that digital entrepreneurial opportunity exploration and exploitation can be congruently combined with each other to trigger the effects of nascent digital start-up activities.

Some valuable recommendations based on the findings have been provided for practitioners and policymakers.

The study contributes to the academic landscape by validating the SOR model within the context of AI adoption and entrepreneurship. It emphasizes the sequential processes of stimulus, cognitive responses, and behavioral outcomes, shedding light on nuanced effects in the digital entrepreneurial landscape.

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.

Although previous research has acknowledged the significance of comprehending the initial acceptance and adoption of ChatGPT in educational contexts, there has been relatively little focus on the user’s intention to continue using ChatGPT or its continued usage. Therefore, the current study aims to investigate the students’ continuance intentions to use ChatGPT for learning by adopting the stimulus–organism–response (SOR) model.

This study has employed the SOR model to investigate how UTAUT factors (such as performance expectancy, facilitating conditions, effort expectancy and social influence) influence the cognitive responses of students (e.g. trust in ChatGPT and attitude towards ChatGPT), subsequently shaping their behavioral outcomes (e.g. the intention to continue using ChatGPT for study). A sample of 392 higher students in Vietnam and the PLS-SEM method was employed to investigate students’ continuance intention to use ChatGPT for learning.

This study reveals that students’ continuance intention to use ChatGPT for learning was directly affected by their attitude toward ChatGPT and trust in ChatGPT. Meanwhile, their attitude toward ChatGPT was built on effort expectancy, social influence, and facilitating conditions and trust in ChatGPT was developed from effort expectancy and social influence.

By extending the analysis beyond initial acceptance, this research provides valuable insights into the factors that influence the sustained utilization of ChatGPT in an educational environment.

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.

This study aims to answer two questions: do self-efficacy and outcome expectations serial mediate the effect of entrepreneurial education (EE) on the intention to start a business? and how can the social cognitive career theory explain entrepreneurial intention (EI)?

This study is based on the social cognitive career theory to examine the effect of EE on start-up intention via self-efficacy and outcome expectations by a serial mediation model. A sample of 1,232 students in Vietnam and the structural equal modelling method was used to test the hypotheses.

The results of this study reveal that entrepreneurial self-efficacy (ESE) significantly mediates the effect of EE on the intention to start a business. Similarly, entrepreneurial outcome expectations (EOEs) mediate the association between EE and EI. Especially, the results of serial mediation analysis show that ESE and EOEs serially mediate the EE–intention relationship.

Under a new perspective of social cognitive career theory, the current study is expected to contribute to clarifying the gap in the relationship between EE and EI. In addition, this study also contributes to investigating the antecedents of ESE and outcome expectations and providing empirical evidence supporting the relevance of social cognitive career theory in explaining EI.