PurposeThis study aims to examine entrepreneurial intention (EI) within the sharing economy by extending the theory of planned behavior (TPB) model by integrating with marketing capabilities of service enablers, technological relative advantages (TRAs) and perceived distributive injustice (PDI).Design/methodology/approachThis study used the partial least squares structural equation modeling (PLS-SEM) approach to examine primary data gathered from a sample of 365 participants in Vietnam.FindingsThis study confirms the fundamental relationships within the TPB, establishing attitude (ATT) toward entrepreneurship as the most significant driver of EI. The analysis further demonstrates that marketing capabilities and TRAs strengthen the cognitive antecedents of ATT and perceived behavioral control (PBC), which in turn fully mediate their effects on intention. PDI emerges as a significant barrier, exerting a negative moderating effect on the relationship between PBC and intention. A multigroup analysis highlights prior business experience as a pivotal factor that qualifies these general findings. While the central influence of ATT on intention is consistent across groups, several pathways diverge meaningfully. Subjective norms positively influence intention only among experienced individuals. In contrast, marketing capabilities enhance both ATT and PBC exclusively for the inexperienced cohort. Moreover, the direct negative effect of PDI on intention is significantly stronger for individuals without prior experience.Originality/valueThis study introduces several new variables that have been successfully integrated to effectively explain EI. These findings provide valuable insights for expanding the understanding of entrepreneurship and offer important implications for platform owners and policymakers.
This study contributes to addressing the limited research on circular economy behavior in emerging markets by surveying 218 tourists in northern Vietnam. Using factor analysis and ordered logistic regression, it examines the relationship between attitudes and circular behaviors in the accommodation sector. Results show that Behavioral Intention toward CE Practices most strongly influences six circular actions, increasing the likelihood of adoption by 13.1-21.7%. Notably, 75% of respondents are willing to pay less than 5% premium for circular economy-compliant hotels. The study offers actionable insights for hotel managers and policymakers developing circular economy awareness campaigns and targeted marketing strategies to advance sustainable tourism in Vietnam.
Purpose The renewable energy sector faces a challenge as rapidly advancing AI technology outpaces governance frameworks, creating an imbalance between using AI’s potential and maintaining environmental and social commitments. Therefore, this study aims to examine the relationship between human–AI collaboration and responsible innovation through the mediating role of knowledge integration. In addition, this study examined how digital literacy and AI ambidexterity moderate between human–AI collaboration and responsible innovation. Design/methodology/approach This study collected the primary data from 457 respondents designated as senior and middle management personnel and technical specialists in three major cities: Hanoi, Ho Chi Minh City and Da Nang. Smart-PLS software was used to analyse the primary data. Findings The results of this study revealed that human–AI collaboration, digital literacy and AI ambidexterity have a positive relationship with responsible innovation, and digital literacy has a positive relationship with knowledge integration. Knowledge integration mediates between human–AI collaboration and responsible innovation. Digital literacy does not moderate between human–AI collaboration and knowledge integration. While AI ambidexterity negatively moderates between knowledge integration and responsible innovation. Originality/value This research advances socio-technical systems theory by identifying knowledge integration as a critical bridging mechanism between human–AI collaboration and responsible innovation outcomes, challenging traditional assumptions about technology adoption benefits. The study provides first empirical evidence from Vietnamese energy professionals, addressing the critical gap between AI advancement and governance frameworks within developing renewable energy contexts.
This study investigates the impact of accounting conservatism on the level of Environmental, Social, and Governance (ESG) information disclosure among Vietnamese listed non-financial enterprises. Utilizing a panel dataset comprising 1,116 firm-year observations across 186 firms in the period from 2018 to 2024, we employ the Between-Effects Model (BEM) to examine the influence of accounting conservatism, alongside other determinants including firm size, GRI adoption, industry sensitivity, and leverage on ESG disclosure. The empirical findings reveal that firms with a higher accounting conservatism degree in financial statement demonstrate a significant tendency to increase their ESG disclosure. These results yield important policy implications for improving financial statement disclosure and promoting sustainable development reporting among non-financial enterprises listed on Vietnam Stock Exchange.
This study examines output divergence and club convergence among 34 newly established provinces in Vietnam from 2010 to 2023. Applying the Phillips and Sul (Econometrica 75:1771–1855, 2007; J Appl Econom 24:1153–1185, 2009)’s methodology to panel data at both aggregate and sectoral levels, the analysis reveals significant divergence in real GDP per capita across provinces. The results also identify multiple convergence clubs, with notable differences in club membership across economic sectors. At the aggregate level, four convergence clubs are observed. In a first-of-its-kind sectoral analysis for Vietnam, the study uncovers six convergence clubs in the Agriculture, Forestry, and Fishery sector, and four clubs each in the Industry and Construction, and Services sectors. Additionally, results from an ordered probit model show that initial GDP per capita, investment, labour force size, human capital, sectoral output shares, and population growth significantly influence club membership. Policy recommendations are derived from these findings.
