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This study investigates the digital competence (DC) of undergraduate students, considering three key dimensions: use of Information and Communication Technologies (ICT) resources, knowledge about ICT resources, and attitude towards ICT. We also examined the relationship between these aspects in order to build a DC assessment framework.

A structured questionnaire was administered to students from several universities in Vietnam in order to assess their DC. A PLS analysis was conducted based on data from 551 valid responses.

Statistical analyses showed that the DC of students was quite low. The findings certify that knowledge of ICT resources is a total intermediate variable in the impact of attitude towards ICT on the use of ICT resources by students.

Our findings provide important implications for policymakers and teachers' insights for authorities, universities, and scholars to develop strategies for DC of students in higher education.

This study is the first to explore the DC assessment framework for students in higher education in an emerging market, Vietnam.

This study investigates the determinants of digital competencies (DC) of students and professionals in accounting.

A total of 278 valid questionnaires were collected from 145 accounting students and 133 professionals to test the relationship between some characteristics of learners through the t-test and two-way ANOVA test.

The results showed a difference in DC between students and professionals. Whereas the characteristics of students do not influence their DC, gender and the number of short courses significantly affect their DC. Information and communication technologies (ICTs) should be provided in accounting programs as core competencies.

A sample size that is not too large and does not include learners and professionals in the central and northern areas is problematic.

The key findings support the development of policies for digital transformation in accounting.

Accounting is one of the professions that must keep up with the changes in the world, which is in the process of rapid digitalization. Hence, this study is valuable for accounting practitioners, higher education institutions and managers to enhance DC continuously.

The article aims examine an integrated model of the technology acceptance model (TAM), the unified theory of acceptance and use of technology (UTAUT) and DeLone and McLean information systems (D&M IS) success model to determine the effects of online learning readiness (OLR) on learners' online learning system (OLS) usage and their satisfaction. The authors also investigate the relationship between performance expectancy, effort expectancy, social influence and OLR of students. Moreover, this work examines the mediate role of learner satisfaction in the linking of OLS usage and performance in Vietnamese higher education.

A total of 558 valid questionnaires were collected from students at five large universities in Vietnam to test the fit of proposed model, measurement model and structural relationships between constructs by using partial least squares (PLS) path analytics.

Performance expectancy, effort expectancy and social influence have significant positive effects on OLR of students in online learning context. OLR has a positive impact on both learner satisfaction and OLS usage. The learner performance is significantly influenced by satisfaction while it is indirectly affected by OLS usage via satisfaction. In addition, OLS usage plays as a partial mediation variable in the relationship between OLR and satisfaction. The path model could explain 56% of variance of the learner performance.

This study has a few limitations. First, this study is cross-sectional, which allows the elaboration of correlations between variables but lacks confidence in causality exploration. Second, the self-reported data are inherently subjective, which might generate biased results in measuring learner performance.

This research has implications for instructors and higher education organizations. The findings provide insights for instructors to manage efficiently the OLS adoption of students. Higher education organizations should understand and identify factors in terms of OLR, OLS usage, learner satisfaction and learner performance when OLSs are implemented in university. Performance expectancy, effort expectancy and social influence have been criticized for considering OLR.

This is the first empirical study to determine relationship between performance expectancy, effort expectancy, social influence, OLR, OLS usage, satisfaction and performance in the context of online learning environment in Vietnam.

The purpose of this paper is twofold: to explain access to formal and informal credit in agriculture of Vietnam; and to compare the effectiveness between regular econometrics and machine learning techniques.

The multinomial logit (MNL) regression model and the random forest (RF) technique are employed for comparison purposes. To avoid heteroskedasticity, the robust covariance matrix is computed to estimate the sandwich estimator which in turn provides an asymptotic covariance matrix for biased estimators. Additionally, multicollinearity is tested among independent variables with variance inflation factors less than 3. Adequacy approach and sensitivity analysis are used to determine relevant levels of predictors. For models comparison, statistical evaluation metrics including Cohen’s κ, mean absolute error, root mean squared error and relative absolute error are employed.

The discrepancy between sensitivity analysis and adequacy approach revealed that MNL is more compatible for explaining determinants of credit participation. Due to insignificant differences in the evaluation metrics between models, the winner of choice is undetermined. Among other determinants, collateral, farmsize, income, procedure, literacy and all risk variables stand out to be critical factors when deciding borrowing schemes. While financially literate farmers tend to acquire loans from both sources, borrowing decisions against different risk sources depend on risk type and famers’ own desire to borrow.

Results of the MNL model are more consistent with literatures, which reinforce the role of collateral in the local credit scheme. Besides, financial literacy and farmers’ perception on different risk sources also influence how farmers’ borrowing strategies vary among sources.

This study addresses the gap in research concerning student attitudes toward ethics and social responsibility (E&SR) within diverse organizational contexts, specifically as they transition into managerial and non-managerial roles.

A total of 425 business students from four universities participated. To determine statistically significant differences between potential managers and non-managers (M&NM), a paired comparison inferential t-test was employed.

The study revealed positive E&SR attitudes among business students. However, it differed from existing literature by finding a significant difference in perceived E&SR importance between aspirants in managerial and non-managerial positions. Notably, non-managerial students exhibited significantly stronger support for these principles.

This study, conducted in an emerging economy, offers a unique perspective by analyzing E&SR perceptions across both potential management and non-management employees. Given the direct and indirect influence employee perceptions have on business performance, this research sheds light on the crucial role of E&SR in management practices. The findings are further substantiated by robust data and include implications for human resource management, along with suggestions for future research directions.

Groundwater plays a critical part in both natural and human existence. When surface water is scarce in arid climates, groundwater becomes an immensely valuable resource. Dak Lak is an area that frequently lacks water resources for everyday living and production, and the scarcity of water resources is exacerbated during the dry season. As a result, it is critical to do study and understand about groundwater to meet the region's water demand. This study aims to extend the use of the MODFLOW model for groundwater simulation and assess the overall groundwater reserves and water demand in the highland province Dak Lak.

The MODFLOW model is used in this work to compute and analyze the flow, prospective reserves of groundwater from which to plan extraction and estimate groundwater variation in the future.

The application of the MODFLOW model to Dak Lak province demonstrates that, despite limited data, particularly drilling hole data for subterranean water research, the model's calculation results have demonstrated its reliability and great potential for use in other similar places. The use of the model in conjunction with other data extraction modules is a useful input for creating underground flow module maps for various time periods. The large impact of recharge and evaporation on groundwater supplies and water balance in the research area is demonstrated by simulations of climate change scenarios RCP4.5 and RCP8.5.

None of the studies has been done previously to analyze water resources of Dak Lak and the scarcity of water resources is exacerbated during the dry season. Therefore, this study will provide useful insights in the water resource management and the conservation of Dak Lak. The groundwater in Dak Lak can meet the area's water demand, according to the results obtained and water balance in the study area. However, the management of water resources and rigorous monitoring of groundwater extraction activities in the area should receive more attention.

This study combines perceived knowledge, perceived psychologic risk with Theory of Planned Behaviour (TPB) to examine the influence on tourists' intention to choose a safe destination and willingness to pay (WTP) more for safety measures. An online survey was conducted in 2021 to approach tourists globally. After 10 weeks, we received 365 valid responses. SmartPLS software version 3.3 was applied to run structural equation modelling to test the proposed hypotheses. Research results reveal that intention to choose a safe destination mediates the relationship between perceived knowledge of COVID-19, perceived psychological risk and the WTP more for safety measures while moderating role of educational level is also addressed. In turn, perceived psychological risk mediates the relationship between perceived knowledge of COVID-19 and intention to choose a safe destination. As a result, this study implies that destination managers should take actions to promote their WTP more for safety measures.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

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.

This study simultaneously explores the nexus among formal, semiformal and informal credit markets and farm households' credit demand determinants in Vietnam.

This study uses a multistage stratified random sampling process for a survey of 648 smallholder farmers in the Red River Delta (RRD), Vietnam. The trivariate probit model (TVPM) is used to address the interdependence of farm households' credit demands in different credit markets.

The results reveal complementary relationships among two pairs of credit markets (formal versus informal and semiformal versus informal). There are dissimilarities among the determinants (household characteristics, household head's characteristics, credit history and geographic factors) of farm households' credit demands in different markets, reflecting segmentation of Vietnam credit markets.

The study's empirical findings are important for policymakers and credit providers to enhance farm households' access to credit for agriculture and to improve the operations of the three credit markets.

This is the first empirical study in Vietnam and one of few in other developing countries simultaneously exploring the determinants of credit demand in and interrelationships among all three credit markets to provide more comprehensive and accurate results.