Digital transformation has profoundly influenced various socio-economic fields and induced retailing firms to utilize digital innovations to maximize business effectiveness in the digital era. The study aims to pinpoint the motivations for online retailing (ORE) adoption and business performance among Vietnamese businesses in the formative digital transformation stage within an extended technology-organization-environment (TOE) framework. The questionnaire-based data are accumulated for this study. Firm respondents are those who have used and increased their familiarity with ORE in Vietnam. All analysis is performed using structural equation modeling (SEM). The results posit that important factors of technological context (i.e., relative advantage, compatibility, and observability), organizational context (i.e., top management support, entrepreneurial orientation, and technological orientation), and the environmental context (i.e., perceived trend, government support, and legal framework) substantially boost ORE adoption. Additionally, firm age is an essential control variable that strongly influences firms’ engagement in ORE. Unexpectedly, firm size, competitive pressure, and control variable (i.e., number of employees) do not significantly affect ORE adoption. Besides, ORE adoption serves as an underlying motivation for business performance. Ultimately, theoretical and practical implications are discussed.

The development of functional foods is key to promoting a healthy diet and preventing certain diseases. This study aims to examine several key factors that affect consumer attitude and intention with respect to purchasing functional foods in an emerging market economy. A research model was developed by extension of the Theory of Reasoned Action (TRA), and then validated through obtaining data from 596 Vietnamese consumers who were interested in functional yogurts using an interviewer-administered questionnaire. Multivariate data analysis reveals that while health consciousness and subjective norm significantly enhance consumers’ attitudes towards purchasing functional yogurts, perceived price of functional yogurts exerts a negative impact on such attitudes. Moreover, subjective norm and attitude appear to be key predictors of consumers’ intentions to buy functional yogurts. These findings extend the extant literature relating to functional food purchase and consumption in emerging markets, and they have several important practical implications for functional yogurt manufacturers, retailers, and policymakers. A major implication is that education and communication programs that aim at increasing consumers’ health consciousness and their awareness of functional foods’ health benefits play an integral role in the success of functional food products such as functional yogurts. Research limitations and future research directions are also presented.

Purpose: Facial recognition payment (FRP) has been recently introduced as a new cashless payment method in retail store context. Anchored on information systems and consumer theories, this research aims to investigate the key antecedents and outcomes of consumer attitudes toward this innovative payment method. Design/methodology/approach: This research used a survey method to obtain data from 795 consumers at retail stores in China. The data were then analyzed by different statistical methods, including descriptive statistics, reliability analysis and structural equation modeling. Findings: Results show that perceived usefulness, perceived ease of use and perceived innovativeness positively affect consumer attitudes toward FRP, while perceived risk negatively impacts such attitudes. In addition, consumer attitudes enhance store satisfaction, and hedonic shopping value plays a mediating role in this relationship. Practical implications: This study encourages retailers to adopt FRP that can enhance consumer hedonic shopping value and satisfaction. Originality/value: This study contributes to the literature by explaining both the antecedents and the outcomes of consumer attitudes toward FRP in retail context. The study also provides fresh insights into how such attitudes can improve consumers' shopping values and satisfaction in an emerging market.

This study aims to examine the mechanisms fostering users’ intention to follow generative artificial intelligence (GenAI)-assisted travel destination recommendations (ATDRs) in the context of digital transformation. A research framework was developed by integrating perceived value, trust, and perceived intrusiveness with the Self-Determination Theory (SDT). Data were collected from 469 respondents who expressed an intention to visit GenAI-ATDRs. This study utilizes structural equation modeling (SEM) to examine the research model. The findings indicate that perceived value and trust are affected by SDT-related dimensions, namely perceived competence, perceived relatedness, perceived autonomy, and perceived intrusiveness. However, trust does not influence perceived value. Furthermore, all three GenAI-related constructs, including perceived value, trust, and perceived intrusiveness, significantly affect users’ intention to follow GenAI-ATDRs. Finally, this work contributes to the body of knowledge on GenAI and user engagement by enlightening its necessity as a helpful virtual assistant and providing practical guidance for industry practitioners on how to enhance users’ willingness to adopt GenAI-ATDRs.

This study aims to assess the trends in smart tourism systematically. From a bibliometric perspective, this study aims to investigate the research trends and map smart tourism worldwide visually. A bibliometric analysis was conducted on 176 relevant documents from the Scopus database. The research methodology includes co-word and co-citation analyses to assess the productivity, impact, and performance of countries, journals, authors, and research institutions. The study shows that the number of publications increases yearly, with the United Kingdom, Spain, China, and South Korea emerging as the top contributors. Keyword analysis identified four prominent research themes, characterized by 32 keywords with a least six occurrences. The clusters are (1)-ST destination management and tourist behaviour in the digital age; (2)-ST and sustainability in rural and heritage destinations; (3)-The impact of digital technology and digitalization on the tourism industry during and after the pandemic; (4)-ST and digital transformation in experience and sustainable development. Co-citation analysis of cited authors yielded a network of three clusters: Technology and Information Systems in ST, User Interaction and ST Experience, ST Development, and Digital Technology Application. The study’s limitations include focusing only on the Scopus database without incorporating systematic review and content analysis. However, the authors believe that the findings capture the overall intellectual framework of the study because of the selection criteria used to determine which databases to analyze. The findings indicate that smart tourism research is still at a developmental stage, and notable knowledge gaps persist. This study aims to advance scholarly understanding and provide practical implications for stakeholders.