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This study aims to investigate the effects of servicescape on customer satisfaction and loyalty – centered on social interaction and service experience in the café setting.

Data for this study were collected from approximately 1,800 customers at 185 coffee stores located in the three largest cities in Vietnam through the self-administered questionnaires.

The research findings pointed out the significant impacts of café servicescape on social interaction quality, including customer-to-employee interaction (CEI) and customer-to-customer interaction (CCI). Social interactions and servicescape were shown to remarkably influence customer experience quality, customer satisfaction and loyalty. Moreover, the study confirmed the interrelation between service experience, satisfaction and loyalty in the café setting.

This study provides marketers and service managers a deeper understanding of improving customer satisfaction and loyalty through the control of servicescape attributes and social interactions in café contexts.

This research explores the significant impacts of café servicescape on social interaction quality (CEI and CCI). Additionally, it provides insights within the role of social interactions to customer’s affective and behavioral responses in service settings, especially the CCI quality.

This study combines the TAM and UGT frameworks to investigate how Vietnamese students' views of ChatGPT and intrinsic needs affect their intentions to use it for education (via variables including perceived ease of use, perceived usefulness, novelty, information seeking and academic content creation). We will employ TAM theory (Davis, 1989) and UGT theory to elucidate university students' motivations for utilising ChatGPT in Vietnam. Simultaneously, we aim to address the limitation stemming from data uniformity. Our research will make a substantial contribution to the understanding of researchers regarding the use of ChatGPT and its varied consequences as it grows and develops.

This study was conducted at a private university in Vietnam with an estimated population of 15,000 students. One of Vietnam’s top private information technology institutions requires its students to use a variety of information and communication technologies (ICTs) on a regular basis to facilitate and enjoy their academic pursuits (Ngo, 2024; Nguyen). Students who are familiar with ChatGPT and have access to it for educational purposes are the ones that were chosen. This research is a quantitative study that utilises primary data through a survey method. Participants answered a questionnaire online through the Google Form platform sharing via social media platforms from October to December 2023. The questionnaire was divided into two sections: the first contained screening questions and demographic information and the second had five-point Likert-scale questions that measured the study’s components. Two screening questions are used to separate out the intended responders. (i.e. “I have heard the name ChatGPT” and “I know about ChatGPT”) were set to find whether the participants had any knowledge of ChatGPT. If participants were unaware of ChatGPT, their responses were not included in the study. A total of 283 responses were received. The participant’s demographic information is shown in Table 1. It is believed that a sample size of more than 200 provides adequate statistical power for data analysis in structural equation modelling. It is evident that the 283-sample size in this study is adequate to evaluate the research hypothesis and the fitting model. 42.9% of the 283 research samples were made up of men, while 57.1% were women. Business administration accounted for 40.1% of survey respondents, followed by information technology (25.2%) and English language (14.5%). The average ChatGPT usage time of respondents was 56 min in a single use. The study sample’s average age is 20–72 years old.

The present study contributes to the existing AI chatbot literature in the educational industry in several ways. First, this study addresses a gap in the literature by investigating the factors that influence students’ ITU ChatGPT for educational purposes in Vietnam. Using the extended model, we investigated factors influencing students’ intentions to use ChatGPT. It integrates three motive factors of the UGT (ACT, IS and N) with the core factors of TAM (PeoU and PU). The integrated framework’s findings indicate that in a Vietnamese educational setting, ChatGPT is a novel technology that should be considered in conjunction with PU and PEoU.

First, only Vietnamese students make up the research sample. To increase the relevance of the findings, it is advised that future research look at the study model in various geographic regions. Second, the present investigation’s constraints arise from the lack of clarity about the Chat GPT version utilised by the respondents, specifically whether it was the free or premium edition. Furthermore, the limited duration of the survey presents an obstacle to gathering thorough data. Due to their reliance on the particular features and functionalities of the Chat GPT version used, these restrictions may have an effect on the researcher’s objectivity. Furthermore, the limited survey time may curtail the coverage of the collected answers, particularly considering that our survey predominantly focuses on business administration students, thus limiting the diversity and richness of the gathered data. We recommend that future studies should conduct comparative research between different versions of GPT Chat, including free and paid variants that can provide valuable insights into potential differences in performance and results. Such analysis can provide a deeper understanding of the strengths and limitations of different GPT Chat versions. Third, because the study focused on behavioural intention, actual usage and post-usage behaviour may not be covered by the findings. To gain a deeper understanding of users' actual behaviour, we suggest doing research on their usage and post-usage behaviours.

The findings will assist service providers and legislators in determining critical variables and influencing students' incentives to use ChatGPT in educational settings that use constructivist teaching methods. As a result, the information will assist service providers in creating AI chatbots that are more user-friendly, visually appealing, efficient, safe and convenient for education. Governments, in conjunction with service providers, have the potential to significantly accelerate the adoption of AI-based chatbots by highlighting their ethical and sustainable use. The findings demonstrate that students' ITU towards ChatGPT is substantially impacted by PU and PEoU. It is recommended that service providers emphasize the advantages and ease of use of AI chatbots in order to draw new clients. Additionally, in order to promote ChatGPT or related technologies, marketers should concentrate on raising the technology’s perceived novelty value. This is because people are open to new technologies as long as they believe they are interesting and innovative.

ChatGPT is an advanced AI-powered chatbot that has the potential to advance and revolutionize the learning and teaching process. This study attempted to look at the elements that lead students to want to use ChatGPT from an academic standpoint by combining the UGT and TAM. For practitioners, academics and educators, the findings provide a solid knowledge of and encouragement for the sustainable use of such AI tools. Despite having important practical consequences, the study contains a number of limitations that indicate possible research gaps that should be filled by further investigation.

Building on my earlier work (Dang, 2007, 2008), this chapter provides an updated review of the private tutoring phenomenon in Vietnam including the reasons, scale, intensity, form, cost, and legality of these classes. In particular, this chapter offers a comparative analysis of the trends in private tutoring between 1998 and 2006 using all available data.

This chapter analyzes data from different sources, including (i) the 2006 Vietnam Household Living Standards Measurement Survey (VHLSS), (ii) the 1997–1998 Vietnam Living Standards Measurement Survey (VLSS), (iii) the 2008 Vietnam Household Testing Survey (VHTS), and (iv) local press in Vietnam. Quantitative methods are used.

Several (micro-)correlates are examined that are found to be strongly correlated with student attendance at tutoring, including household income, household heads’ education and residence areas, student current grade level, ethnicity, and household sizes. In particular, I focus on the last three variables that received little attention in the previous literature on the determinants of tutoring.

This chapter provides an updated and systematic review of the private tutoring phenomenon in Vietnam. Findings are highly relevant to the ongoing debates on private tutoring among all stakeholders in Vietnam, as well as policymakers/researchers in other countries. Suggestions are proposed on current gaps in the literature for future research.

On the basis of the conservation of resources theory (CORT), this study investigates the relationship between social overload and users’ withdrawal intention from social communities on social networking sites (SNSs), with the serial mediating mechanisms of social-psychological distance and emotional exhaustion and the moderating mechanism of (similar) linguistic style.

Data were collected from 489 users in different social communities on SNSs in an emerging market. Structural equation modeling was used to analyze the sample data and test the hypotheses.

Results show that social overload has a positive influence on withdrawal intention from social communities on SNSs. Furthermore, social-psychological distance and emotional exhaustion have a serial mediating effect in this relationship. In addition, (similar) linguistic style negatively moderates the link between social overload and emotional exhaustion and that between social overload and withdrawal intention.

This study extends CORT to propose and test a unique research model that clarifies the mechanisms leading to users’ withdrawal behavior from social communities on SNSs. The findings of this study provide implications for researchers, individual users, administrators/managers of social communities, and SNS providers to understand and make better decisions to retain member users.

On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.

This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.

Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.

This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

This study aims to investigate the relationship between self-determined motivation and organizational commitment, with the mediating role of cross-cultural adjustment of low-skilled workers who come from an emerging economy working in a developed economy. This study also aims to determine the interaction effect between intrinsic and extrinsic motivation on organizational commitment.

This study collects a sample data of 236 Vietnamese laborers in Taiwan. Structural equation modeling is used to analyze data and test hypotheses.

Results show that intrinsic and extrinsic motivations are positively related to organizational commitment. Cross-cultural adjustment positively mediates the relationship between intrinsic motivation and organizational commitment and that between extrinsic motivation and organizational commitment. Furthermore, extrinsic motivation positively moderates the relationship between intrinsic motivation and organizational commitment.

This study helps to untangle the relationship between self-determined motivation and organizational commitment of low-skilled workers in an unfamiliar environment. Furthermore, this study also clarifies the mediating and moderating mechanisms of cross-cultural adjustment and extrinsic motivation in this relationship. The findings provide implications for researchers and managers to plan and implement policy and management systems that combine tangible and intangible incentives to motivate foreign workers and induce positive outcomes for companies in a new cultural context.

This study is based on the regulatory focus theory and conservation of resources theory to examine how information confusion leads to users’ discontinuous usage intention of social networking sites (SNSs), with the mediating mechanisms of users’ motivation and affectivity.

Data were obtained from 270 users in different SNSs in Vietnam. Structural equation modeling was used to analyze the sample data and test the hypotheses.

Results show that information confusion has a positive influence on discontinuous usage intention, and prevention focus positively mediates this relationship. Furthermore, the negative affectivity positively mediates the link between information confusion and discontinuous usage intention and that between prevention focus and discontinuous usage intention. In addition, prevention focus and negative affectivity together play a serial mediating effect in the link between information confusion and discontinuous usage intention.

This study extends the regulatory focus theory and conservation of resources theory to validate a model that explains the transitional process of users’ motivation and affectivity in the link between information confusion and discontinuous usage intention of SNSs. The findings of this study provide implications for academic researchers and business managers of SNSs to understand and make better decisions to retain their users.

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.

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.

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.

This study encourages retailers to adopt FRP that can enhance consumer hedonic shopping value and satisfaction.

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 investigates the impact of religious orientation and patriotism on domestic tourists’ intention to revisit spiritual destinations through two distinct studies: (1) religious sites and historical landmarks and (2) cultural heritage locations.

Using convenience sampling, Study 1 (religious orientation) collected data from 445 Vietnamese tourists, and Study 2 (patriotism) collected data from 492 Vietnamese tourists. Spiritual elements were examined through social identity theory (SIT) and patriotism through the theory of reasoned action (TRA). The cognitive-affective-behavioral (CAB) model serves as the framework for both analyses. The hypotheses were tested using structural equation modeling.

Both patriotism and religious orientation had a positive indirect impact on domestic tourists’ intention to return. While attitudes toward development served as the sole mediator between patriotism and revisit intention, multiple factors mediated the relationship between religious orientation and revisit intention.

Religious marketing campaigns can enhance the destination image of churches and temples, thereby strengthening domestic tourists’ intention to revisit. Programs emphasizing patriotism should be organized to encourage the intention to revisit cultural and historical heritage sites.

This study on spirituality tourism conducted a comparative analysis of two case studies by focusing on the interplay between religious orientation and patriotism regarding revisiting intention by employing frameworks of the SIT, TRA and CAB models. It enriches the existing literature and theoretical foundations of spiritual tourism and provides valuable insights for local policymakers by highlighting the distinctions between the effects of religion and patriotism.

Relationship between firms in a B2B marketing channel is often complex in nature. In emerging markets, there is a dramatic shift from traditional state-owned channels to a more market-oriented channel. Acquiring knowledge and expertise from channel firms is an important issue in these markets. However, the mechanisms to acquire knowledge in B2B marketing channels have been underdetermined in the current literature of B2B marketing channels. Therefore, this study aims to investigate the relationship between rational influence tactics and knowledge acquisition, with the mediating role of long-term relationship and the moderating role of helping behavior in the specific context of B2B marketing channels in Vietnam.

Structural equation modeling is used to analyze a three-way time-lagged sample data of 530 questionnaires collected from purchase managers in Vietnam.

Results indicate that rational influence tactics, including information exchange and recommendations, have a positive influence on knowledge acquisition. In addition, long-term relationship positively mediates the relationship between information exchange tactic and knowledge acquisition and that between recommendations tactic and knowledge acquisition. Furthermore, helping behavior positively moderates the relationship between long-term relationship and knowledge acquisition.

This study contributes to the current literature of B2B marketing channels by proposing and testing a unique model that explains the relationship between rational influence tactics and knowledge acquisition, with the mediating role of long-term relationship and the moderating role of helping behavior. Findings of this study provide implications for academic researchers and business managers in using rational influence tactics to build long-term relationship and acquire knowledge from business partners in B2B marketing channels.