Xuan Cu Le

Dr. Xuan Cu Le

Faculty of Economic Information System and E-commerce, Thuongmai University, Hanoi, Hà Nội, Vietnam
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
NHNguyen Tran Hung
Nguyen Tran Hung
XLXuan Cu Le
Xuan Cu Le
TVThi Hai Ly Vu
Thi Hai Ly Vu
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.

5 April 2021 in Library Hi Tech
Verified
Journal Article
Closed access
TNTran Hung Nguyen
Tran Hung Nguyen
XLXuan Cu Le
Xuan Cu Le
Purpose: Although crisis communication via social media has engaged academia's attention during the disease outbreak, information value for preventive behaviors is inadequately studied. The purpose of this paper is to cast light on how to strengthen the uptake of older people's coronavirus disease 2019 (COVID-19) behavioral outcomes due to information value and perceived threat through social media.Design/methodology/approach: This study designs a survey and applies structural equation modeling to examine a research framework. A sample comprises 334 Vietnamese older participants who have utilized social media.Findings: The results illustrate that preventive behaviors are determined by perceived threat (i.e. severity and susceptibility). Furthermore, older people heighten risk perceptions based on information characteristics, including information relevance, informative support and source credibility. Lastly, information relevance is a strong predictor of source credibility.Practical implications: The findings assist practitioners to enhance crisis communication effectiveness via social media by imparting valuable information to the public. Moreover, this paper offers overarching guidelines on the improvement in credibility with creators, risk consciousness and preventive behaviors.Originality/value: Although earlier studies focused attentiveness on the power of social media for raising threat perceptions, this work seems the first to unveil informative motives for perceived COVID-19 threat across older individuals, which subsequently presents plausible reasons for behavioral disclosure, including facemask-wearing, hand-washing and social distancing.


25 June 2021 in Asia Pacific Journal of Marketing and Logistics
Verified
Journal Article
Closed access
XLXuan Cu Le
Xuan Cu Le
Purpose: Zalo is a Vietnam social media platform attracting over 100 m users worldwide. The work aims to ascertain how to boost users' satisfaction, habit and continuance intention toward Zalo based on the expectation confirmation theory (ECT) and its extension through the impacts of expected benefits and emotional motivations.Design/methodology/approach: Data are collected via an online survey on a convenience sample of 356 Zalo users. Statistical analysis is performed using Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structures (AMOS) to test proposed hypotheses.Findings: Results indicate that confirmation positively influences expected benefits (i.e. pervasiveness, socialization, and self-discovery) and satisfaction. Moreover, satisfaction and habit are jointly stimulated by expected benefits and emotional motivations. Outcomes also reveal that satisfaction is a motivator of habit, which in turn surmises evidently to continuance intention.Practical implications: Findings assist practitioners to develop their business trajectories by improving beneficial services of Zalo and positive emotions. This fulfills user satisfaction and habit, and promotes continuance behavior accordingly.Originality/value: Confirmation and expected benefits are acknowledged as the drivers of satisfaction, but existing literature remains inconclusive about dimensions of expected benefits influencing satisfaction and habit in social media. Furthermore, this study, by an extended ECT, explores emotional motivations for satisfaction and habit. Ultimately, habit is uncovered to foster prolonged usage.

22 November 2021 in Asia-Pacific Journal of Business Administration
Verified
Journal Article
Closed access
XLXuan Cu Le
Xuan Cu Le
Purpose: The research purpose is to explore the diffusion of mobile QR-code payment (MQP) in a coronavirus disease (COVID-19) context by formulating a behavioral response model based on an integration between protection motivation theory (PMT) and unified theory of acceptance and use of technology (UTAUT). This study also investigates the importance of physical distancing norm for behavioral intention toward MQP.Design/methodology/approach: A web-based survey was designed and data were accumulated from 411 validated respondents who have used MQP or tend to utilize it in Vietnam. Statistical analysis was conducted using SPSS and AMOS to verify the hypotheses.Findings: Results illustrated that behavioral intention is motivated by key antecedents of PMT (including perceived severity, perceived susceptibility and self-efficacy) and important factors of UTAUT (including performance expectancy, effort expectancy and social influence), and physical distancing norm. Moreover, perceived severity promotes performance expectancy, whereas self-efficacy boosts effort expectancy in MQP. Lastly, behavioral intention and recommendation were indicators of the diffusion of MQP under COVID-19.Practical implications: MQP is just in its infant stage in Vietnam; thus, the findings provide managerial implications, which will aid service providers and firms to adopt marketing strategies that enhance consumers' acceptability and recommendation of MQP to the public.Originality/value: Little is empirically considered the effects of perceived threat-related factors in PMT and physical distancing norm on behavioral intention toward MQP in a salient pandemic setting. Furthermore, the antecedents in UTAUT contribute greatly to behavioral intention. This study enlightens the diffusion of MQP based on behavioral intention and recommendation.

3 January 2024 in Data in Brief
Verified
Journal Article
Open access
XLXuan Cu Le
Xuan Cu Le
TNTran Hung Nguyen
Tran Hung Nguyen
The article depicts the dataset of a survey on the effects of chatbot characteristics on customer experience (including intrinsic and extrinsic values) and behavioural outcomes (including satisfaction and continuance intention) toward chatbots in the context of banking within Vietnam. The data were accumulated using a web-based questionnaire with a valid sample of 336 participants who have used banks’ chatbots in Vietnam from July 2023 to September 2023. Participants were encouraged to share the survey link with different chatbot users via social media to seek potential respondents. Harman single factor was utilized to lessen the issue of common method bias. The formal data were evaluated by using SPSS 21.0 and AMOS 21.0. In addition to respondents’ demographic profile, the results of explanatory factor analysis and confirmation factor analysis were presented in this work, which would alluded as a good reference for future studies.