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This study addresses the empirical results of the spillover effect with export as the primary economic activity that enhances local businesses' total factor productivity (TFP). A learning mechanism is expected to be generated and used as the basis for the policy implication.

This study adopted the Cobb–Douglas function and multiple estimation approaches, including the generalized method of moments, the Olley–Pakes and the Levinsohn–Petrin estimation techniques. The findings were estimated based on the panel data of a Vietnamese local businesses survey conducted by the General Statistics Office of Vietnam (GSO) from 2010 to 2019.

The results showed that the highest TFP belongs to the businesses in the Southeast region, the Mekong Delta region, the mining industry and the foreign-invested enterprises. The lowest impacted TFP are businesses in the Northwest region and agricultural, forestry and fishery sectors. In addition, the estimated results also show that the positive spillover effect on TFP is shown through forward and backward linkage. The negative spillover effect is expressed through the backward and horizontal channels.

This study offers original empirical evidence on the learning mechanisms via which exports contribute to productivity improvement in a developing Asian economy, so making a valuable contribution to the existing academic literature in this domain. The findings of this research make a valuable contribution to the advancement of understanding on the many ways via which spillover effects manifest such as horizontal, forward, backward and supplied-backward linkage.

The study's findings indicate that it is advisable for governments to give priority to the development and improvement of forward and supply chain linkages between exporters and local suppliers. This approach is recommended in order to optimize the advantages derived from export spillovers. At the organizational level, it is imperative for enterprises to strengthen their technological and managerial skills in order to efficiently incorporate knowledge spillovers that originate from overseas partners and trade counterparts.

This study sheds new evidence on the export spillover effect on productivity in emerging economies, with Vietnam as the case study. The paper contributes to the research's originality by adopting novel methodological aspects to estimate local businesses' impact on total factor productivity.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0373

This study aims to examine the relationship between corporate environmental responsibility (CER) practices and different types of innovation carried out by small- and medium-sized enterprises (SMEs) in Vietnam.

The authors employ the bivariate probit model and the two-stage least squares regression model to estimate the effects of CER on process innovation and product innovation of SMEs.

The findings show that while CER is not significantly related to product innovation, it has a positive and significant effect on process innovation. Further analysis indicates that CER engagement increases labor productivity and financial performance of SMEs.

Corporate managers should view implementation of environmental responsibility practices as a strategy to foster process innovation and boost labor productivity and financial performance. For policy makers, government support for firms proactively engaging in CER practices could encourage firms to pursue innovative activities, which are vital to their long-term success as well as to the society's prosperity.

This study makes several important contributions. First, the authors provide new empirical evidence regarding the different effects of engaging in environmentally friendly practices on firm innovation in an under-examined emerging market setting. Second, the authors enrich our understanding of potential benefits of CER implementation. Third, the findings suggest that firm innovation may play a mediating role in the CER–firm performance association.

Employee’s service innovative behavior lays the groundwork for bottom-up innovation and ongoing service improvement in service firms. Therefore, it is vital for service organizations to understand the antecedents of employees service innovative behavior. Drawing upon the social cognitive theory, this study aims to develop a research model that examines the effects of ethical and entrepreneurial leadership on service innovative behavior.

Data were collected from 178 managers and 415 employees working in 178 small- and medium-sized (SME) hotels in Vietnam.

The findings showed that ethical leadership has direct and indirect effects on service innovative behavior, while entrepreneurial leadership only influences service innovative behavior via intrinsic motivation. In addition, trust in leader moderates the effect of intrinsic motivation on service innovative behavior

The study advances current scholarly research on leadership by combining the two areas of entrepreneurial and ethical leadership into one theoretical model and examines how these leadership styles generate hospitality employees’ service innovative behavior through the mediating effect of intrinsic motivation and the moderating effect of trust in leader.

The findings of this research offer significant implications for SME hotels and their managers. In their recruitment processes, hotels should search for particular personality traits, which have been found to predict ethical and entrepreneurial leadership. Hospitality firms also need to encourage communication between leaders and co-workers to enhance employees’ intrinsic motivation.

There are calls for research to examine whether both entrepreneurial and ethical leadership styles can be integrated to enhance employees’ positive outcomes. Evidence about the mechanism linking entrepreneurial and ethical leadership to service innovative behavior is limited. With this stated, the current study makes significant contribution to leadership and innovation literature by filling in these voids.

This study aims to investigate the impact of AI chatbots on customer trust in AI chatbots for hotel services.

The probability sampling method was employed to develop a research sample. The research uses correlation analysis and structural equation modeling to analyze the data of 413 valid observations collected in the structured questionnaire survey in Vietnam.

The paper reports that empathy response, anonymity and customization significantly impact interaction. Empathy response is found to be the strongest influence on interaction. Meanwhile, empathy response and anonymity were revealed to indirectly affect customer trust. This paper also contributes several implications for hotel providers in emerging economies.

To the best of the authors’ knowledge, this is the first study to shed light on the role of AI chatbots in explaining customers’ behavior. The results provide an enhanced understanding of how the AI chatbot system influences customers’ decision-making. It has been used to plan the chatbot application and highlight which implementation issues need the most attention in the hospitality industry.