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This study aims to examine the factors affecting accounting students’ adoption of artificial intelligence (AI) in Vietnam.

This study employs an empirical analysis based on hand-collected data from 275 accounting students in Ho Chi Minh City, Vietnam. The study model was performed using the partial least squares structural equation modelling methodology, facilitated by SmartPLS 4.0.

The study results show that perceived usefulness, perceived ease of use (PEOU), AI literacy, social influence (SI), facilitating conditions and technology readiness are positively associated with AI adoption by accounting students. The findings suggest the important role of SI in shaping the relationship between PEOU and AI adoption.

This study is limited to universities in Ho Chi Minh City, Vietnam, with a small sample size, which may reduce the generalisability of findings to other cities in Vietnam or other countries due to different regulations. Future research could examine comparative and cross-country analyses within similar institutional settings.

The study findings suggest that universities should consider offering more AI-related subjects to improve students’ AI proficiency and capacity.

This study examines the determinants of AI adoption by accounting students in Vietnam, addressing a previously unexplored area in the literature.

This study aims to identify factors that affect the intention and actual adoption of cashless payment (ACP) among Vietnamese youths. Extending the unified theory of acceptance and use of technology (UTAUT) model with two impelling factors (perceived trust [PTR] and lifestyle compatibility [LCM]), this study also examined the mediating effect of intention to adopt cashless payment (ICP) on the relationships of UTAUT model components with the actual ACP.

All data were collected online from 422 Vietnamese youths through online survey, and partial least squares structural equation modelling was performed to analyse the data.

The study’s results illustrated the positive and significant effects of performance expectancy, effort expectancy, facilitating conditions, LCM and PTR on ICP. However, social influence was found to exhibit a negative effect on ICP. Furthermore, ICP was found to contribute no mediation effects on the relationships of any of the components with the actual ACP.

This study’s findings are widely useful for marketers and managers to plot their promotional and campaigning strategies, emphasising factors that motivate consumers to adopt cashless payment. The obtained findings also benefit architects and designers in designing products and services by consolidating lifestyle standards and other requirements of consumers. Policymakers should implement policies and strategies to enforce rules and educate the public to widely adopt cashless payment across various sectors.

This study extended the UTAUT model with two new variables, i.e. PTR and LCM.

The current study aims to investigate the impact of perceived blockchain-related information transparency on consumers’ intention to purchase organic food. This study examines how perceived blockchain- related information transparency, directly and indirectly, affects purchase intentions through attitudes, perceived behavioural control and subjective norms. Additionally, the study explores how blockchain-based trust moderates the influence of perceived blockchain-related information transparency on these factors and the intention to purchase organic food.

Based on the theory of planned behaviour framework and a sample of 5,326 consumers, this study uses partial least squares structural equation modelling to test the research model.

This study finds that perceived blockchain-related information transparency directly enhances consumers’ attitudes towards organic food purchase, perceived behavioural control, subjective norms and intention to purchase organic food. Additionally, perceived blockchain-related information transparency indirectly affects consumers’ intention to buy organic food through three antecedents of the theory of planned behaviour model. Notably, these indirect effects were moderated by consumers’ blockchain-based trust.

This study provides recommendations for leveraging blockchain to enhance transparency and build trust, which could boost consumer engagement and organic food purchases.

This research contributes to blockchain literature by empirically examining the role of perceived blockchain-related transparency and blockchain-based trust in consumers’ purchasing decisions regarding organic food. It provides valuable insights into the consumer-centric benefits of blockchain technology. Furthermore, this study also contributes to the literature on organic food, particularly its promotion through blockchain technology.

The purpose of this study is to investigate the impact of servant leadership on frugal innovation through the mediating role of corporate social responsibility to employees.

This study used a quantitative research method and structural equation modeling to test hypotheses in the proposed research model based on a sample of 325 Vietnamese firms.

The research findings indicated that five dimensions of servant leadership including empowerment, humility, standing back, stewardship and authenticity are positively related to frugal innovation. Moreover, corporate social responsibility to employees partially mediates the connections between five servant leadership’s dimensions and frugal innovation.

This study provides important insights and a novel approach for leaders of Vietnamese small and medium-sized firms to improve their firms’ frugal innovation capability through leadership practice and corporate social responsibility to employees.

This study significantly fills research gaps in the literature and advances the understanding of how servant leadership promotes corporate social responsibility to employees to improve frugal innovation.

The purpose of the present study is to reveal the antecedents of the new green product success (NGPS) of small and medium-sized enterprises (SMEs) that manufacture in Türkiye with a middle-income economy. To this end, a research model for the serial mediating role of green human capital (GHC) and green adaptive ability (GAA) in the relationship between green mindfulness (GM) and NGPS was developed and tested. Determining the driving forces of NGPS is essential due to the contributions of SMEs manufacturing, especially in middle-income economies, such as Türkiye, to the national economy.

The present study used partial least squares structural equation modeling (PLS-SEM) to test the hypothesized relationships. The study hypotheses were tested in a sample of 396 manufacturing enterprises, qualified as SMEs in Türkiye with ISO 14001 certificates.

Empirical evidence indicates that GM, GHC and GAA act as significant antecedents of NGPS. Furthermore, empirical evidence demonstrates that GHC and GAA, in turn, mediate the relationship between GM and NGPS.

Managers, especially in manufacturing SMEs, should be aware that they need to develop intangible resources to improve NGPS. Increased investment in GM results in higher levels of GHC and GAA, which collectively leads to improved NGPS.

The current literature has not previously explained the mechanism of the relationship between GM and NGPS. The originality of the present study, which discusses the relevant research gap, is to develop an integrated framework to investigate how GM impacts NGPS, specifically for SMEs, and to test it empirically.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.