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This study aims to examine the determinants of Generation Z's intention to support sustainable development in tourism, with a focus on Nha Trang, Vietnam (a coastal city with famous tourism activities).

The study was conducted with an aid of SPSS 20.0 and SmartPLS 4.0 softwares to analyze the data collected from 394 valid respondents in Ho Chi Minh City through a cross-sectional method with a self-administered survey.

Empirical evidence revealed that sustainable tourism attitude, sustainable tourism belief and perceived sustainable destination image positively influenced Generation Z's support intentions toward sustainable tourism. In addition, perceived sustainable destination image also indirectly impacted intention to support sustainable tourism through the sustainable tourism attitude and/or belief (both single and sequential mediations).

This is among pioneering studies to figure out that knowledge negatively moderated the relationship between sustainable tourism attitude and intention to support sustainable tourism.

This study offers an empirical framework for how hotel employees CSR perceptions affect their job satisfaction by incorporating the parallel mediating roles of organizational identification and psychological contract fulfillment. In addition, it examines the moderator effects of employees' CSR-induced attributions on the constructed mediated model, providing a powerful lens through which to evaluate when and how employees' CSR perceptions influence organizational identification and psychological contract fulfillment.

The study use PLS-SEM techniques to analyze a sample of 520 employees from 49 luxury hotels with 4–5 stars in Khanh Hoa province, Vietnam.

The results show that CSR positively influences job satisfaction through the mediating role of psychological contract fulfillment and organizational identification. Besides, attachment styles also play moderator role in the relationship between CSR and psychological contract fulfillment/organizational identification.

The discoveries elucidated within this research endeavor proffer actionable discernments to be earnestly contemplated by professionals entrenched in the hotel industry, earnestly aspiring to ameliorate the contentment of their workforce and, concomitantly, augment the overarching efficacy of their organizational operations.

This study provides human resource departments with insights and suggestions for maximizing the efficacy of CSR implementation in the hotel industry.

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.

This study aims to explore the relationship between artificial intelligence (AI) awareness and physical and psychological withdrawal behaviors of enterprises employees through the mediating roles of job security and emotional exhaustion as well as the moderating role of emotional intelligence.

Data were collected through a self-administered questionnaire from six fields with the highest level of AI application with a sample of 1,129 Vietnamese enterprises employees. Data were analyzed using SmartPLS, a bootstrapping technique was used to analyze the data. The mediating effect of job security and emotional exhaustion and the moderating effect of emotional intelligence were performed.

The research showed that the proposed moderated mediation model was accepted because the relationships between the constructs were statistically significant. The results of the data analysis supported a positive relationship between AI awareness and physical and psychological withdrawal behaviors, as well as a mediating effect of job security and emotional exhaustion. The findings also confirmed that there is a moderating effect of emotional intelligence between AI awareness and job security, emotional exhaustion, physical and psychological withdrawal behaviors.

Sample data was only collected at a few Vietnamese enterprises in six fields with the highest level of AI application which are e-commerce, transportation and logistics, education, real estate, finance and agriculture, which may be limiting generalizability of research results.

This study offers several practical and useful management implications, such as anticipating negative attitudes, feelings and behaviors of employees to prepare a response plan; conducting interviews, investigate employees’ AI awareness and do their best to minimize its negative effects on employees’ psychological states and behaviors; and paying attention to recruiting and selecting employees with good emotional intelligence.

This study contributes to the growing literature on AI by elucidating the mediating roles of job insecurity and emotional exhaustion in the relationship between AI awareness and physical and psychological withdrawal behavior. This study also makes a significant step forward in examining the moderating mechanisms of emotional intelligence in attenuating the effects of AI awareness on job insecurity, emotional exhaustion, physical and psychological withdrawal behavior.

This study aims to investigate the impact of digital operational risk (DOR) and digital information risk (DIR) on the operational performance (OP) of South Korean small and medium-sized enterprises (SMEs) engaged in cold chain systems (CCS) in the era of digital transformation. Specifically, it examines the mediating role of conservative market entry strategy (CES) and demand forecasting-based product management (DPM) in these relationships.

A structured questionnaire was developed based on prior literature and distributed to SMEs utilizing CCS in South Korea. The collected data were analyzed using partial least squares structural equation modeling.

The results indicate that DOR positively influences CES, while DIR positively influences DPM. Both CES and DPM have a positive impact on OP. Furthermore, CES mediates the relationship between DOR and OP, while DPM mediates the relationship between DIR and OP. Additionally, DOR indirectly influences OP through CES and DPM.

This study focuses on SMEs in South Korea, limiting the generalizability of the findings. Future research should expand the scope to other countries and industries. The reliance on survey data may introduce self-report bias, and future studies could incorporate objective performance data.

The findings provide insights for SMEs to develop tailored risk management strategies based on their specific risk profiles. It emphasizes the importance of strategic investments in information and communication technology to mitigate risks and enhance OP.

By enhancing the risk management capabilities of SMEs in CCS, this study can contribute to the overall efficiency and resilience of the low-temperature supply chain, ensuring the safety and quality of perishable goods for consumers.

This study contributes to the literature by examining the distinct roles of DOR and DIR in influencing strategic choices and OP in the context of digital transformation. It also highlights the mediating role of CES and DPM, providing a more nuanced understanding of risk management in CCS.

The primary goal of this review is to identify emerging themes in the cold supply chain (CSC) and their future research directions, methodologies, and theories.

The review looks at CSC related articles from Scopus database published in the years 2000–2020. Thereafter, bibliometric and co-citation analyses have been conducted to identify emerging themes, methodologies, and theoretical perspectives related to CSC management.

This study revealed a clear research gap in CSC literature with emerging themes relevant to diverse aspects. Primarily, the most prominent authors, methodologies, and theories were identified from bibliometric analysis. Next, we generated clusters to identify the insights of each cluster using co-citation analysis. Consequently, the significance of clusters concerning the number of articles, theoretical frameworks, methodologies, and themes was recognized. Finally, a few future research questions regarding emerging themes have been identified.

The importance of co-citation and bibliometric analyses in studying the evolution of research over a definite time is emphasized in this work. As per emerging themes, implementing digital technologies has increased the efficiency of traditional CSC and transformed it into digital CSC.

As per the authors' knowledge, this work is the first in literature to explore the significance of identifying emerging areas and future research directions in managing CSC through literature review based on bibliometric and co-citation analysis.