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This paper reports the developments of a project cost control system (PCCS) for construction projects to (1) measure its current level of cost control maturity, (2) examine the relationships between elements within PCCS processes and (3) identify improvement areas.

This study adopts a mixed approach of descriptive analysis and partial least squares structural equation modelling (PLS-SEM) to measure the current maturity level of PCCS and evaluate the relationships between elements within PCSS to identify improvement areas. Further importance-performance matrix analysis (IPMA) of priority constructs was conducted to improve a target construct and identify the most important areas of specific actions at indicator levels. The results of IPMA revealed the contrast that has the greatest importance on the performance of others so that the recommendations can be made accordingly. Data collected in New Zealand were used to develop the research model.

This study develops structural and measurement models with the constructs including pre-control, in-control and post-control processes, enablers and their proposed interrelationships. Then, data from survey of 184 experienced project cost control team members reveal that post-control has the lowest maturity or weakest areas in the PCCS. Data analysis facilitated by PLS-SEM confirmed that all the constructs in the structural model have positive and significant relationships with each other and suggested that systematic cost analysis reports, communication, skills and experience, defining roles and responsibilities, and top management's support should be the highest priority for improving the PCCS in a more effective manner.

This study presents one of the earliest attempts to develop and test an integrated model that links sub-processes in PCCS and their enablers. Secondly, this research adds to the construction project management literature by empirically verifying the roles of enablers in enhancing maturity level of PCCS.

Official development assistance (ODA) education projects have played a crucial role in improving education and training fields in developing countries, but are often facing several considerable challenges (e.g. long implementation time). Thus, this study aims to identify critical success factors (CSFs) in ODA education projects and investigate the influences of CSFs on ODA project performance measured by 11 nonprofit outcomes (NPOs).

A comprehensive literature review and expert interviews were conducted to compile a list of 35 potential success factors for ODA education projects. Using a survey questionnaire, 143 valid responses were collected from practitioners joining ODA projects in Vietnam. Various statistical methods (e.g. mean score method, Spearman rank correlation test, analysis of variance test, factor analysis and regression analysis) were used to analyze the collected data.

This research identified seven CSFs for ODA education projects in Vietnam: comprehensive project management competency (C1), clarity and compliance in project execution (C2), transparency and committed funding (C3), external context conditions (C4), well-controlled design and project management procedures (C5), preparations in equipment and complexity insight (C6) and punctual site delivery (C7). Furthermore, the results of regression analysis indicated that comprehensive project management competency (C1) and transparency and committed funding (C3) could significantly affect various NPOs.

This study offers significant insights for practitioners (e.g. project managers) to improve ODA projects’ performance and effectiveness in the education and training sector of a developing country context (like Vietnam).

This study seeks to evaluate gender diversity within family members and analyze its effects on financial distress in firms listed in Vietnam.

The research employs a Generalized Method of Moments (GMM) regression model to assess the impact of gender diversity on corporate board performance, including factors such as the presence and proportion of female directors, female directors with family ties and the gender of CEOs. The study covers 152 listed companies on the HNX and HOSE exchanges from 2015 to 2022. The GMM model is chosen for its robustness in dealing with endogeneity issues and its ability to provide consistent estimates in the presence of potential correlation between explanatory variables and unobserved effects. This approach allows for a more accurate evaluation of how gender diversity influences operational efficiency and how these companies manage financial difficulties within the sample period.

Our research shows that diversity on the Board of Directors (BOD) as well as female CEO employment not only does not reduce the financial distress of businesses but also increases this situation. However, being both a female and a family member of the BOD is negatively related to financial distress. This can help female members who have connections with the family contribute to the work of adjusting and monitoring the business's operations to suit the family's goals, contributing to improving the operational efficiency of the business. BOD maximizes profits and contributes to promoting the company's sustainable development goals. From there, limited ability to travel and financial exhaustion.

The empirical results obtained from this study contribute to building a solid knowledge base, supporting businesses in the policymaking process and providing empirical evidence to enrich learning materials.

This study provides empirical evidence on how gender diversity influences the financial challenges of businesses, especially within the context of publicly listed companies in Vietnam. It stands out from previous literature by specifically focusing on listed companies in Vietnam. By analyzing the impact of gender diversity on financial difficulties, this study also clarifies how various factors can influence management and business development.

This study aims to identify the key factors driving consumer adoption attention toward FinTech services in a bank-based financial system to lay a firm ground for further policy recommendations to promote the dual development of FinTech and the banking industry in Vietnam as well as other emerging economies similar banking system.

A technology acceptance model with a data set of 387 observations collected from a thorough research design is used and proceeded with probit regression.

The paper finds that existing bank users are holding a high intention to approach FinTech services regardless of involved costs and time, suggesting a traditional banking system to open up the collaboration channel with FinTech firms in prospective business areas. The findings also reveal an interestingly important position of consumers’ latent needs in inclining consumers to use FinTech services in Vietnam.

In this study, the variable measurement is not comprehensive as the authors use a single question for each variable. Second, most of the respondents reside in two big cities of the country, which are currently witnessing the rising presence of FinTech companies. So, if the future penetration of FinTech firms reaches out of these big cities, a better research sample with a diversified geographic trait should be considered.

This study’s findings draw out valuable recommendations to bankers and especially policymakers to stimulate the future penetration of FinTech firms along with assuring and strengthening the important position of the banking sector in the economy.

This paper’s novelty lies in several aspects. First, this study provides a broad view of the market potentials for FinTech firms from the demand side on a wide range of FinTech services rather than focusing only on payment services as presented in previous studies. Besides, the paper also discovers a new factor attributing to the adoption intention of the FinTech end-users, the users’ latent needs. Third, these empirical results carry a considerable contribution to the limited literature on this topic in Vietnam. And, most importantly, this study’s findings significantly prove the noticeable contribution of consumers’ preference to the indisputable development of FinTech. This afterwards helps to shape viable governmental regulations to facilitate effective market penetration strategies of FinTech in accordance with nurturing the future strategic development of a bank-based financial system under the emergence of FinTech. Of which, the authors call for clear and official moves of the governmental bodies in facilitating the collaboration between FinTech and the banking system coupled with enhancing measures of customer protection in the financial field in Vietnam. The findings and the regulatory implications for our country could be a vital source and replicated for other emerging economies’ cases with similar traits of the financial system.

This study sought to investigate the attitudes of Vietnamese undergraduate business students towards English-Medium Instruction (EMI) courses.

Data were collected through purposive sampling using structured questionnaires, resulting in a dataset comprising 291 responses. This study employs a combination of Importance–Performance Analysis (IPA) and structural equation modeling (SEM) to evaluate students' perceptions of effectiveness of EMI courses, their satisfaction and loyalty.

The study’s findings revealed a noteworthy pattern: students assigned higher levels of importance to various aspects of EMI courses than the actual performance levels of these elements. Additionally, the analysis identified specific attributes that fell into different IPA quadrants, shedding light on their relative significance. Notably, the students placed their teachers' professional expertise and English proficiency in the “keep up the good work” quadrant, indicating the strengths of these attributes. In contrast, learning assessment techniques, course learning materials and electronic teaching platforms were situated in the “concentrate here” quadrant, implying room for improvement in these areas. Furthermore, it was observed that attributes falling within the “keep up the good work” quadrant had a positive effect on students' overall satisfaction and loyalty, while other characteristics did not significantly contribute to predicting these outcomes.

Based on these findings, the study offers recommendations for educational institutions and educators concerning the planning and implementation of EMI courses.

This paper aims to investigate the extent of personal privacy concerns expressed by university students in Vietnam while using TikTok, the influence of peer interactions and social norms on privacy attitudes and behaviors and the strategies used by university students in Vietnam to mitigate privacy risks on TikTok.

A qualitative approach using semi-structured interviews was used to gather data on the following: the degree to which Vietnamese university students express concerns about their personal privacy while using TikTok; how peer interactions and social norms influence privacy attitudes and behaviors; and the strategies these students use to mitigate privacy risks on the platform.

Findings indicate that although university students exhibit a relatively low level of concern regarding their personal privacy on TikTok, peer influences and societal norms significantly shape their attitudes and behaviors on the platform. Moreover, students use several strategies to mitigate privacy risks, such as selective content sharing and refraining from engaging with unknown links.

These insights provide valuable implications for the development of targeted interventions and educational initiatives aimed at fostering a more privacy-conscious TikTok user community among university students in Vietnam.

This research fills a critical gap in the existing literature by focusing on the influence of social norms and peer influences on privacy attitudes and behaviors on social media platforms. While prior studies have explored various factors impacting privacy concerns on social media, the role of social dynamics has been understudied. Moreover, the research specifically addresses the lack of investigation into privacy concerns on TikTok, a platform rapidly gaining popularity among younger demographics.

This study aims to explore the relationship between digital transformation, transformational leadership style and artificial intelligence (AI) in accounting in the context of Vietnam as an emerging market. Additionally, it examines the role of transformational leadership style as a moderator in the nexus between digital transformation and AI in accounting.

Data was collected through e-survey questionnaires distributed to Vietnamese manufacturing firms following comprehensive screening to ensure representativeness of the entire population. A final sample of 510 responses was analyzed.

Using partial least squares structural equation modeling, our findings reveal that digital transformation and a transformational leadership style positively influence AI in accounting. Furthermore, transformational leadership style demonstrates a significant moderating effect on the relationship between digital transformation and AI in accounting.

This study discusses the benefits of incorporating AI in accounting for managerial decision-making. It underscores the critical importance of digital transformation in contemporary accounting practices, particularly with regards to AI in accounting. Consequently, managers are encouraged to embrace digital transformation, leveraging national policies, to enhance their firm's utilization of AI in accounting. Moreover, managers should focus on developing their transformational leadership style to maximize the aforementioned outcomes.

This study contributes to the literature on AI in accounting by highlighting the positive effects of digital transformation and a transformational leadership style. Additionally, our findings underscore the effectiveness of a transformational leadership style and its moderating influence. Finally, this study presents a pioneering empirical investigation that integrates transformational leadership style with AI in accounting within developing economies, specifically Vietnam.

This paper studies the factors affecting digital transformation in accounting of small and medium enterprises (SMEs) and then influencing accounting information quality.

The research model includes seven independent variables, namely organizational culture, competitive pressure, employee's awareness, readiness of the information technology systems, organization's mindfulness, alignment of the organization’s strategy and top management support, which affect digital transformation in accounting. Besides, the research model proposed to examine the relationship between digital transformation in accounting and accounting information quality. The paper uses a survey (with 253 respondents) and applies exploratory factor and regression analysis to examine Vietnamese SMEs.

This paper aims to examine the antecedents of the digital transformation in accounting and its positive impact on the accounting information quality. The research results highlight three factors: the organization's mindfulness, alignment of the organization’s strategy and top management support. In the SMEs, top management may be the one, so the top management in SMEs has a strong influence on the digital transformation in accounting.

There are small sample sizes and not yet guaranteed to cover all business areas of Vietnamese SMEs. Control variables will be added to the research model to evaluate, such as firm size, operation time, sex of top management and age of top management.

The results of this paper provide practical insights into the digital transformation in accounting for business managers, researchers and other stakeholders. Vietnamese SMEs should communicate and educate employees and spend resources to improve the information technology system. It helps to improve the financial accounting quality for SMEs.

To the best of the authors’ knowledge, this study is the first to examine factors affecting digital transformation in accounting and the relationship between digital transformation in accounting and the financial accounting quality of SMEs in Vietnam.

This paper aims to examine the nexus among cloud-based accounting (CBA), employee job performance (EJP) and operational performance (OPP) in the circumstances of Vietnam, an emerging nation. In which the authors examine EJP as a mediator variable inside the research model. Furthermore, the employee digital skills (EDS) factor is examined as a moderating variable for the CBA-EJP nexus and the CBA-OPP nexus, respectively.

The study’s sample was acquired through extensive screening methods. This study used email surveys to acquire data. The survey was sent to 1,200 chief financial officers of Vietnamese firms. For analysis, the ending pattern of 401 e-surveys was used.

By using partial least squares structural equation modeling, the results imply that the CBA has a favorable effect on EJP and OPP. Furthermore, EJP favorably mediates the linkage between CBA and OPP, whereas EDS play a significant moderator role in the CBA-EJP nexus and CBA-OPP nexus, respectively.

This study highlights the crucial role of human factors (i.e. EDS and EJP) for the internal modern applying behaviors (i.e. CBA) and firm value (i.e. OPP) of firms in emerging markets. Therefore, managers should scrutinize the performance of human factors in an essential interval to improve modern applied behaviors and make them more powerful, thus improving the OPP of their firms. Substantially, firm managers should focus on employing the EDS, which enhances the CBA-EJP nexus and the CBA-OPP nexus, respectively.

This study enlarges the OPP documentation by detailing the beneficial effects of human factors as well as the CBA. Furthermore, the study recognizes the effectiveness of EDS as a moderator variable in the context of developing economies. Finally, this work has been regarded as earlier empirical research that integrates all of the aforementioned components into a single model in emerging economies, particularly Vietnam.

The global construction industry has a history of poor project success, with evident and frequent overruns in cost and schedule. This industry is a highly interconnected and complex system in which the components, i.e. suppliers, contractors, end-users, and stakeholders, are delicately linked to each other, the community, and the environment. Therefore, defining and measuring project success can be challenging for sponsors, contractors, and the public. To address this issue, this study develops and analyzes a more comprehensive set of success criteria for medium and large construction projects.

After reviewing the existing literature, this study identified 19 success criteria for medium and large construction projects, which were categorized into five groups. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) method was used to gain further insight into the interrelationships between these categories and explain the cause-and-effect relationships among them. Next, this study applied the modified logarithmic least squares method to determine the importance weight of these criteria using the fuzzy analytic hierarchy process.

28 project managers working in the construction industries in Australia and New Zealand participated in this study. Results suggest that “project efficiency” and “impacts on the project team” are cause criteria that affect “business success,” “impacts on stakeholders,” and “impacts on end-users.” Effective risk management emerged as the most crucial criterion in project efficiency, while customer satisfaction and return on investment are top criteria in “impacts on end-users” and “business success.”

Although numerous studies have been conducted on project success criteria, multicriteria analyses of success criteria are rare. This paper presents a comprehensive set of success criteria tailored to medium and large construction projects. The aim is to analyze their interrelationships and prioritize them thoroughly, which will aid practitioners in focusing on the most important criteria for achieving higher success rates.