Proceedings of the 4th International Conference on Research in Management and Technovation

The article uses data from 122 listed construction and materials firms between 2010 and 2020 to study the impact of factors on liquidity. The variables in the model include Liquidity, Firm Size, Financial Leverage, Receivables Management Performance, Inventory Management Performance, Growth Opportunity, and Speed revenue growth of construction and materials firms. The quantile regression method is used to determine factors influence on corporate liquidity and the impact level of each variable on each quantile. On different quantiles, the impact of each element is also different. The higher the quantile, the stronger the effect of financial leverage on liquidity. Research results support the practical basis of liquidity in construction and materials firms in Vietnam recently.

Previous studies on opportunistic earnings management using accrual and real manipulation related to benchmark-beating find mixed evidence, especially when investigating alternative mechanisms (i.e., accrual earnings management and real earnings management). One issue that has not been examined is the information uncertainty environment. We expect that greater information uncertainty would provide more ambiguity about earnings management for market participants. Therefore, if managers are opportunistic, they are more likely to choose the less costly earnings management mechanism, i.e., accrual manipulation. The overall results show that firms just meeting earnings benchmarks use more accrual earnings management but not real earnings management in the high information uncertainty environment. The results hold after controlling for endogeneity and other factors that may affect earnings management.

The study analyzes the impact of capital structure, financial risk, and other factors on the performance of food and beverage firms listed on the Vietnam stock market in 2011 and 2020. We use data in the financial statements of 41 food and beverage firms listed on the Ho Chi Minh Stock Exchange and the Hanoi Stock Exchange from 2011 to 2020 in the FiinPro Database. The S-GMM regression method was used to analyze the influence of capital period structure, financial risk, and other factors on the performance of listed food and beverage firms. The results show that the lagged variables of operational efficiency and capital structure have a positive impact, but financial risks have a negative impact on the performance of listed food and beverage firms. Furthermore, the study proposes some policy implications on building capital structure and building financial risk management processes, contributing to improving the performance of Vietnamese food and beverage enterprises.

This article explores the relationship between government grants and CSR activities for employees. The panel dataset of SMEs provides evidence of a statistically significant positive effect of government grants in terms of financial on CSR for employees (trade union, social insurance, health insurance, maternity leave, and retirement). However, government grants in terms of training supports and trade promotion have negative impact on employees welfares. This result implies that the government can indirectly enhance employee welfares (CSR for employees) through direct financial grants to firm operations. In other words, businesses that receive financial grants are able to operate more efficiently, thereby, employees also receive more welfares. Besides, the training and trade promotion grants policies should be strictly controlled.

Selecting the right list of supplier is a critical activity in the supply chain management system. The supplier selection process is one of the important decision-making tasks of managers. The supplier selection process is often integrated in the supply chain information system to help businesses make the final choices for a list of the most suitable suppliers for the business. In this work, a combination between AHP method and machine learning is used via proposal framework. This framework is performed with experimental data to show the support managers’ decision making through the short risky list suppliers. This might help each enterprise in the industry having their own suitable suppliers. This framework also makes a transparency of selecting suppliers in the supply chain system in order to create the competitiveness on product prices for businesses in the market.

Achieving ISO accreditation establishes a successful link between an organization and its associated parties, including learners, clients, and stakeholders. It appears that numerous public higher education institutions have effectively implemented the ISO standard, while only a small number of private educational institutions have achieved such recognition. As a result, the aim of this paper is to examine and comprehend the variations in approaches and practices utilized by educational institutions during the development and implementation of ISO projects. To achieve this goal, the study will utilize the Group Consensus Theory, which is an effective method for gathering diverse viewpoints and achieving consensus. Authors employ a series of inquiries to evaluate a given organization’s ability to conform to ISO standards. Based on research findings, private institutions of higher education exhibit challenges in addressing problems as they arise, maintaining a lack of receptivity to employee problem-solving and engaging in limited communication with their staff.

Tourism is severely influenced by the Covid-19 pandemic; however, it has been the fastest-recovering service for recent two years. This chapter aims to employ the TPB model to explore tourists’ behavior under the post-pandemic era. Although this pandemic is the biggest global health crisis in the previous one hundred years, this theory still has well explained the behavior of travelers in Vietnam. We find that attitude, perceived behavioral control, and subjective norm can influence travel intention. Travel intention, in turn, will promote individuals’ travel behavior. Based on the research findings, the managerial implications are presented to support a faster recovery for the tourism sector.

Data mining is the technique of uncovering different patterns and finding relationships and anomalies in the large datasets. It is used for the extraction of valuable information from the available data present in the form of a dataset. Prediction has been proposed as one of the useful techniques of data mining which can be used for predicting about future trends. Generally, regression is preferred for prediction. In a regression problem, the final output is calculated as the mean of all outputs, which is also called Aggregation. In this paper, a diamonds dataset was downloaded from Kaggle. The dataset consists of 53,940 instances and 10 features. The following dimensions were used for predicting the prices of a diamond: carat, cut, color, clarity, depth, table, price, x, y and z. Based on the above, three regression algorithms, i.e., Random Forest Regressor, K-Neighbors Regressor and Decision Tree Regressor and one optimization technique, i.e., Particle Swarm Optimization had been applied and the performance of the four algorithms were compared based on different performance and validation metrics such as testing accuracy (R2-score), Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The testing accuracy of Random Forest Regressor was found to be 0.9822175620286142, Particle Swarm Optimization 0.9809447466912986, K-Neighbors Regressor 0.9683118493918951 and Decision Tree Regressor 0.9675318135094464. It was observed that the testing accuracy of Random Forest Regressor was the best as compared to the rest others.

This article analyzes a set of factors affecting the stability and development of small- and medium-sized enterprises in the post-Covid era including external resources and innovation management. The SEM model is built based on the hypotheses about the influencing factors and the data set collected from 100 small and medium enterprises in Vietnam. The test results show that with R-square = 0.811 and Cronbach's alpha = 0.658, the main hypotheses are accepted, proving that innovation management and external resources influence the stability and development of small- and medium-sized enterprises in Vietnam.

This article’s purpose is to examine the effect of audit quality on listed real estate businesses' share prices on the Vietnamese stock market. Audit quality is measured by the authors based on the auditor tenure, the size, and reputation of the audit firm as well as the audit firm's tenure. The study focuses on a sample of 56 real estate companies that were listed on the Vietnamese stock market between 2010 and 2022. The study included three regression techniques: Pool OLS, Random Effect Model (REM), Fixed Effects Model (FEM), and Generalized Method of Moments (GMM) to assess the impact of the variables reflecting audit quality on the market price per share of listed businesses. The authors' findings demonstrate that the audit quality significantly affects the share prices share prices of real estate companies listed on the Vietnam stock market. Specifically, the study identifies that the scale and reputation of the auditing firm, auditor tenure, and audit firm tenure all significantly affect the changes in the market price per share of real estate businesses on the Vietnamese stock market.

The association among emotional intelligence, employee flexibility, and job satisfaction is examined in this study. in Vietnam's hospitality industry. The research demonstrates that high emotional intelligence positively impacts relationships with colleagues and customers, leading to better customer service and increased job satisfaction. Due to its positive effects on interpersonal interactions and customer service, emotional regulation is crucial for job satisfaction. Partial Least Square-Structural Equation Modeling (Smart PLS 3.2.8) is used to evaluate data from 164 respondents in the Vietnamese hotel business. The study emphasizes the value of emotional intelligence in the hospitality sector and the significance of taking these abilities into account when hiring managers.

The quality of financial reports and its impacts on the economic decisions of interested users have been the remarkable topic for many academic researchers. Earnings Management (EM) conceals the actual operating results and financial position of the company that stakeholders should have known. Some previous studies have found that board characteristics had impacts on EM. The main objective of this study is to inspect and examine the impacts of board characteristics on EM in the Vietnamese listed pharmaceutical companies. This study applied a quantitative research approach with secondary data of 21 Vietnamese pharmaceutical listed companies from 2012 to 2022. The result indicates that the higher number of non-executive directors on board would reduce EM while the dual role of CEO and Chairman would increase EM. The board size and the presence of woman directors on board have no impact on EM.

The COVID-19 pandemic has been identified as one of the significant factors contributing to high levels of mental health problems among employees. Our research examined the relationship between the mental health approach and the impact of anxiety on employee engagement. In Vietnam, employee engagement topics are increasingly being researched, but they are principally conducted by individual companies, which tend to consider the situational factors surrounding the engagement process. In our study, we have continuously contributed to employee engagement theory. We used the term work engagement, considered an individual factor as significant as situational factors. Besides, we investigated the relevance of personal anxiety to work engagement and informal workplace learning. The sample size included 238 employees of Vietnamese organizations. According to the findings, people with high trait anxiety have difficulty engaging in their work, and informal workplace learning behavior positively impacts work engagement. The result is presented in the discussion section, and implications for researchers and practitioners to develop appropriate interventions for personal anxiety to increase positive effects on work engagement.

The study aims to: (i) provide empirical evidence on income smoothing practice of listed companies in Vietnam Stock Exchange; and (ii) investigate the impacts of firms’ profitability, financial leverage, liquidity, and audit firm size combined with several control variables proxied by listing age, firm size, audit tenure, and board size on income smoothing of Vietnamese listed companies from 2009 to 2021. Using the purposive sampling method, the studied samples are 81 companies making of 1053 observations in total. Data are analyzed using logistic regression with dependent variable which is income smoothing categorized based on the Eckel’s index. The study's findings indicate that while other variables have no effect on income smoothing practices, financial leverage, audit firm size, and company size have a substantial impact. The findings of this study also suggest that income smoothing is very viable in Vietnam, similar to that in Japan but considerably less common than in Singapore and China.

This study aims to investigate the impact of celebrity endorsement in consumers’ purchase intention for a new product: the case of Saigon Chill beer launched by Saigon Beverage in Vietnam. The study employed a mixed methods approach comprising qualitative and quantitative phases to develop and test the research model. In the qualitative phase, group interviews were conducted to identify key themes surrounding the topic. In the quantitative phase, data were collected through an online survey with 27 observed variables based on the key themes identified. It received 200 responses, with 44% males and 56% females. Statistical tests such as descriptive statistics, correlations, and multiple regression were conducted using SPSS and SEM. The findings indicate that three traits of celebrity endorsement including attractiveness, expertise, trustworthiness; brand attitude; and purchase intention are closely related. However, only the attractiveness of celebrity has a significant impact on customers’ attitude toward Saigon Chill. Additionally, certain demographic factors impact the effect of celebrity endorsement. Based on these findings, beer managers can consider using celebrity marketing as a tactic to endorse their new product to customers. In all, this study provides insights into the effectiveness of celebrity endorsement in promoting a new beer product.

The education industry consists of students, which are the most major factor on which the country strength builds upon. Due to the introduction of digital media, psychological factors creep in like FOMO, digital anxiety, stress, etc. Nowadays, a lot of students are facing a psychological fear, namely FOMO which is the first construct of the study. The second variable of the study is life satisfaction which is an overall satisfaction from the life as a whole and obtain less consideration in the student’s study in Indian context. To evaluate the impact of FOMO on life satisfaction, initially factor analysis was conducted, followed by Pearson’s correlation ‘r’ and step-wise multiple regression analysis. Sample consists of 250 students. Findings reveals that the FOMO has significant influence on life satisfaction. Academicians could apply the findings in their own institutes and improve the life satisfaction of students.

The objective of the study is to determine the methods of premium calculation, the factors affecting the premium calculation, the current situation of premium calculation in the Vietnamese life insurance market, and at the same time make recommendations for the Vietnamese insurance market through recommendations to state agencies, the Vietnam Insurance Association and Vietnamese life insurers. In order to identify the premium, statistical and analytical techniques were used to conduct this study. The analysis of the study is shown by formulating the insurance calculation methods. On that basis, the author predicts six main factors affecting the calculation of life insurance premiums. In addition, the article analyzes the current situation of calculating life insurance premiums in the Vietnamese life insurance market through actual criteria. From there, it shows the development prospects of the life insurance industry in Vietnam, and at the same time makes some recommendations for the management agencies, professional associations, and Vietnam life insurance enterprises.

This article studies the harmonization level between Vietnamese Accounting Standards (VAS) and International Accounting Standards (IAS) on fixed assets. Specifically, study the pairs of standards: VAS3 - IAS16; VAS4—IAS38. The authors used qualitative and quantitative research methods to quantify the research results. The research results have shown the harmonization of VAS and IAS on fixed assets through measurement index (M-DJCS), disclosure index (D-DJCS) and the composite index (O-DJCS). Specifically, the results of measuring these three indicators for two pairs of research standards are as follows: VAS3- IAS16 (42,07/75,25/43,79); VAS4- IAS38 (58,88/36,27/56,90).

This study has demonstrated the influence of information quality and trust on the intention to continue using the food delivery service on mobile applications through a survey of 196 consumers, processed using SPSS 22 software. The findings indicate that among the four factors affecting the intention to continue using the food delivery service on mobile applications, namely reliability, consistency, clarity, and trust in the application, information quality and trust are the two strongest factors influencing consumers’ intention to continue using the service. As a result, this research contributes to providing managerial implications for leaders and food businesses in Vietnam, suggesting solutions and policies to promote the digital economy by optimizing business processes and building customer trust. Improving the positive user experience and customer satisfaction through the application usage can be enhanced, leading to a higher intention to continue using the service.

This study explores emerging trends and development directions of forensic accounting in the coming time, emphasizing the role of forensic accountants in detecting financial fraud in the context of socioeconomic difficulties drastically changed. The article also shows the importance of keeping up to date with new knowledge and techniques to effectively prevent financial and accounting fraud. The study delves into several key themes, such as technological advancements, international cooperation and regulation, the relevance of forensic accounting in the digital economy, and professional ethical considerations. By understanding and adapting to these trends, forensic accountants can improve their effectiveness in protecting financial system integrity and transparency, preventing, and detecting financial and accounting fraudulent activities.

Our paper aims to examine some antecedents and outcomes of accounting information quality (AIQ) of SMEs in Vietnam. Specifically, accounting information system quality (AISQ) is examined as the key antecedent factor, and the firm performance (FIP) is examined as the outcome in this context. In addition, we also examine the role of transformational leadership (TL) as a moderator for AISQ-AIQ link and AIQ-FIP link. Quantitative research methods are used with rigorous testing to determine the most accurate results and ensure reliability. Research findings indicate that the AISQ has an outstanding favorable impact on AIQ. In addition, the AIQ has a favorable impact on FIP in the circumstances of southern provinces in Vietnam. Lastly, TL positively moderates both the link between AISQ and AIQ, and the nexus between AIQ and FIP. This has been a pioneering study in integrating all the above factors into an empirical research model to clarify the notion of AIQ.

The research content of the thesis is to identify and measure the factors affecting activity-based costing (ABC) method in Mekong Delta’s enterprises. Besides, the study also examines the moderator role of transformational leadership styles in these links. Paper detecting indicates that there have been three factors impacting ABC method in Mekong Delta’s enterprises. These factors include competitive strategy, the awareness of ABC method and cost structure. In addition, transformational leadership styles positively regulate the above factors. With the above research results, business administrators can refer to the implementation of ABC method to create appropriate and useful information to enhance cost control as well as to serve management, and contribute contributing to the increase of enterprise value and sustainable development.

Tax management is a critical aspect of financial governance, and its effective implementation requires accurate and efficient data analysis. Feature selection, as a subfield of machine learning and data analytics, offers promising techniques for identifying the most relevant and informative variables in tax management. This paper explores the concept of feature selection in the context of tax management, highlighting its importance, benefits, and challenges. It discusses various feature selection methods and algorithms, their application to tax data, and their potential impact on improving tax compliance, risk assessment, and fraud detection. The paper concludes with recommendations for implementing feature selection in tax management systems to enhance efficiency and accuracy.

The main objective of this study is to focus on finding the factors playing a vital role that impact Nursing Students’ Perceptions and Satisfaction of the Clinical Learning Environment in the Northern Region of Malaysia. The motivation of this research could extend and enrich the knowledge of nursing education, in terms of nursing clinical performance. The theoretical framework is developed based on the CLEST model to enhance and justify its relevancy as a guide for future researchers in determining and selecting variables in similar or related research areas. Descriptive statistical analysis will be deployed to analyze the canter tendency of the respondents’ profile and items of the variable, whereas causal research will be established to study the cause-and-effect relationship between the factors of CLE and the perception and satisfaction of nursing students in CLE. The target population is nursing students currently practicing clinical work in hospitals of Northern Region Malaysia, and the sample size is determined based on the factor of effect size, power (1-β), level of significance (α), and the technique of the statistical analysis. Factor analysis and multivariate normality test will be conducted for justifying the validity and reliability of the data before proceeding to the correlation and multivariate regression testing.

This study applies the theory of planned behavior (TPB) to elucidate the influencing factors of responsible consumer credit usage behavior in the area of Hanoi, Vietnam. The research utilizes primary data collected through a survey questionnaire. The gathered data is processed using SPSS and Amos software to assess the reliability of the measurement scale, conduct exploratory factor analysis (EFA), perform multivariate regression analysis, and apply the structural equation modeling (SEM) to test the proposed hypotheses. The findings of the study indicate that a supportive attitude toward consumer credit, standards set by parents and friends, and the perception of behavior control positively impact the intention to use consumer credit responsibly. Additionally, a negative attitude toward consumer credit reduces the intention of responsible consumer credit usage among university students. The results also reveal that the intention to use consumer credit responsibly contributes to an increase in responsible consumer credit usage behavior among university students.

The night-time economy has become a trend in many countries that focus on exploiting their strengths in the tourism industry. This model is considered one of the drivers of economic growth because it helps improve the quality of tourism products and therefore increases tourist satisfaction. However, the night-time economy in Vietnam has not yet received much attention and investment for development. A study using the structural equation modeling (SEM) regression analysis method based on data from 412 surveys of tourists visiting the Old Quarter in Hanoi provided evidence of the positive influence of product–service factors, price, local specificity, and culture-human on the quality of the destination. Furthermore, the study's findings also confirmed the role of the night-time economy as a new factor affecting the quality of the destination and thus increasing tourist satisfaction. These findings provide the basis for proposing some implications and solutions for developing tourism in particular and the Vietnamese economy in general.

Green accounting (GA) is considered an important tool in understanding the influence of the natural environment on the economy. However, its application in Vietnam is not widespread, and there are still many shortcomings, especially in industrial parks where the environmental aspect of social responsibility needs more attention. This article examines the factors influencing the application of green accounting in small and medium enterprises (SMEs) in Vietnam. Based on the results of 142 surveys, the study identifies four groups of factors that affect the implementation of green accounting in businesses, including factors related to management agencies, the businesses themselves, professional associations, and other stakeholders.

Research evaluates the impact of competition through Lerner competitiveness indexes and the concentration of the banking industry on profitability of commercial banks based on the regression of array data of 21 Vietnamese commercial banks in the period of 2013 – 2021. The research results show that the Lerner index is positively correlated with the profitability of the banks. So that, in a fiercely competitive environment, the banks have to spend a lot of money to innovate, to apply modern technology in banking operations, to improve product features, and reduce service prices to compete more effectively. This reduces the profit and profitability of the bank. At the same time, the research results also show that industrial concentration is negatively correlated with the bank’s profitability. Besides, the research results also show that bank size and economic growth rate are positively correlated with the bank’s profitability; while the bad debt ratio, the credit risk provisioning balance, and the leverage ratio are negatively correlated with the bank's profitability.

This research seeks to investigate the influence of free cash flow on the performance of securities firms in Vietnam. The study involves a sample of 73 such firms, totaling 1315 data points, spanning the years from 2008 to 2021. Leveraging both qualitative research techniques (i.e., synthetic and interpretive methods) and quantitative approaches (such as linear regression), six key factors of free cash flow impacting the companies’ performance have been determined. These include the company size (Size), available free cash flow (FCF), company growth (Growth), cost factors (Cost), return on assets (ROA), and the enterprise's age (Age). The research explores and evaluates the critical role of effective free cash flow management in the operations of Vietnamese securities firms, especially in the current climate of extensive international economic integration, with an aim toward sustainable development of Vietnam's stock market.

The research was conducted to identify the factors influencing the intention of students to choose to work in manufacturing businesses in the context of integration. The results were analyzed from survey data collected from 710 students representing 10 fields of study from the first to fourth year in Hanoi. The research utilized SPSS 20.0 and Amos 20.0 software for data analysis, including descriptive statistics, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and the structural equation modeling (SEM) to develop a linear structural model. The results revealed six factors influencing the decision to work in manufacturing businesses, including working conditions of the organization, person-organization fit, family and friends, higher education, recruitment information, and job challenges. The findings of this study can serve as a basis for proposing solutions to connect the demand and supply, bridging the gap between students and manufacturing businesses in search of human resources.

This study delves into an analysis of data obtained from 27 commercial banks operating in Vietnam from 2012 to 2021. Its primary objective is to scrutinize the influence of various factors on the non-performing loan (NPL) ratio and its subsequent impact on the credit risk of Vietnamese commercial banks. To achieve this, the study adopts a widely used regression analysis method, which involves processing tabulated data and employing three distinct models: the pooled regression model (pooled OLS), the fixed effects model (FEM), and the random effects model (REM). These models are instrumental in uncovering relationships between variables and providing a comprehensive understanding of the dynamics at play. Furthermore, the researchers apply the method of feasible generalized least squares (FGLS) to enhance the accuracy of the estimation process. This method is particularly advantageous in mitigating issues related to variance and self-correlation phenomena within the data, contributing to more robust and reliable findings.Upon careful analysis, the study successfully identifies six crucial factors that significantly influence both the non-performing loan (NPL) ratio and the credit risk faced by Vietnamese commercial banks. These findings represent valuable insights into the complex interplay of variables impacting the financial stability and performance of these institutions. In conclusion, this study makes a notable contribution to the understanding of NPLs and credit risk in the context of Vietnamese commercial banks. Its insights and recommendations have the potential to inform effective policy decisions and best practices within the banking sector, ultimately promoting financial stability and growth in the country.

The construction industry has grown rapidly in recent years, but the outstanding debt in payment, especially the difficulty in paying the principal and interest of bonds in recent years, has caused great frustration among investors. The authors use Stata software for panel data to estimate the regression equations. The analysis aims to examine the factors affecting liquidity of 29 listed construction companies in the period 2015–2021. The research results show that financial leverage (LEV), profitability on working capital (ROA), total asset turnover (ART), and company growth rate (GWS) are the main factors that have a strong impact on corporates’ liquidity.

The digital economy has revolutionized the way businesses operate, and financial data management plays a crucial role in this transformative landscape. This paper uses qualitative research methods, analytical and synthesis methods, inductive and interpretive methods explores the key aspects of financial data management within the context of the digital economy. It examines the fundamental elements of data collection, processing, and storage, emphasizing the importance of ensuring data security in an era of increasing cyber threats. Additionally, the paper delves into the technologies driving financial data management, such as artificial intelligence, machine learning, blockchain, and data analytics, highlighting their applications and potential benefits. It also discusses the advantages of effective financial data management, including optimized decision-making, enhanced transparency, improved financial analysis capabilities, and strengthened fraud prevention measures. Finally, the paper explores the future prospects of financial data management, including advancements in technology and data processing capabilities, and the integration of data across various platforms.

The study aims to assess the impact of environmental factors as competition intensity (CI), strategic change (SC) on the use of management accounting information (MAI), and the mediate role of management accounting information (MAI) on business performance (PERF) of small and medium enterprises (SMEs) in Vietnam. With 236 valid responses of middle and senior managers conveniently selected from the member list of the Southern, Hanoi and Danang Small and Medium Enterprises Association, the data was cleaned, and SEM linear structural model analysis. With 6 hypotheses proposed, the results show that CI and SC have a positive impact on MAI, while MAI as a mediate role has a positive impact on business performance of SMEs. Research results will provide useful information for managers in using management accounting information to improve business performance of enterprises.

The topic of employee retention has garnered considerable interest from researchers and practitioners. Despite the abundance of studies on this subject, there are still some research gaps that exist in the current literature. This study aims to investigate the correlation between organizational democracy, trust, commitment, and the retention of lecturers in Vietnamese universities. The research sample comprises 174 lecturers. The findings of the study reveal a positive association between organizational democracy, institutional trust, lecturers’ commitment, and employee retention within the organization. This research provides significant contributions to both the academic literature and practical implementation in Vietnamese universities.

Purpose—The purpose of this article is to determine the factors and extent of their influence on the intention to outsource internal audit (IA) in enterprises. From there, propose solutions for outsourcing IA services to related parties. Design/methodology/approach—Research using mixed methods including in-depth interviews with experts and conducting surveys. The survey was conducted on 209 businesses through individual respondents representing members of the board of directors, accountants. Research using SPSS 22 to test the reliability of that scale of variables in the model, analyze exploratory factors, analyze correlation and multivariate regression on factors affecting intention to outsource IA. Findings—Research shows that perceived usefulness, perceived ease of use, subjective norm, behavioral control and government policy positively influence the intention to outsource IA in businesses. Practical implications—The study identifies and explores the factors affecting the intention to outsource IA based on the following theories: theory of rational action (TRA), theory of planned behavior, and technology acceptance model (TAM). Social implications—The study is empirical evidence that the willingness to outsource IA services in enterprises is really important for IA service providers; enterprises easily make decisions to outsource IA based on research results.

This study analyzes the factors affecting the intention to apply the International Financial Reporting Standards (IFRS) and the willingness to apply IFRS in listed companies in Vietnam. The research team chose Theory of Planned Behavior (TPB), combined with Technology Acceptance Model (TAM) as conceptual frameworks. Based on previous studies, the authors build a model with a new moderator on the accountant's advice. The variables namely director's attitude, subjective norm, and perceived behavioral control are all broken down into smaller variables for further analysis throughout the study. This study systematizes the results of previous research, from which (1) develop a theoretical framework, (2) propose factors that affect the intention to apply (IFRS) of the enterprise, (3) measure and analyze the influence of the factors given on the intention to apply IFRS of listed companies and finally, (4) propose possible solutions to effectively and efficiently accelerate the application of IFRS, thereby helping Vietnamese listed enterprises to accomplish the scheme set out by the Ministry of Finance.

Success is the desire of any organization when implementing digital transformation. However, digital transformation is a complex problem, especially for small and medium enterprises (SMEs), which have certain limitations in terms of resources. This research analyzes a sample of 186 Vietnamese SMEs to determine the factors affecting the success of digital transformation. The study used SPSS 20 software to analyze quantitative data. The results state that digital transformation strategy and human resources capability positively impact digital transformation success in Vietnamese SMEs. The research proposed some recommendations for stakeholders to promote successful digital transformation for small and medium firms in Vietnam.

This study examines the factors affecting the effectiveness of financial risk management of electricity enterprises based on three criteria: risk identification, risk measurement and assessment, and risk treatment using 164 responses from people of 41 enterprises in the industry. The results of data analysis show that all three groups of factors have the same impact and are equally important to the effectiveness of financial risk management of electric power enterprises. To be specific, identifying financial risks has the greatest impact, measuring and assessing financial risks is the second, and dealing with financial risks is the last. On that basis, the author proposes solutions to improve the efficiency of financial risk management of electric power enterprises in Vietnam.

This study aims to analyze factors affecting the capital structure of industrial enterprises with a sample of 21 companies in Vietnam in the period 2015–2022. This study points out the factors that affect the capital structure such as: the size of the company to mobilize capital, the rate of return, financial difficulties, the tax shield from debt. This results show that there is a relationship between the index components of the thesis and the financial leverage ratio. After overcoming the model defect to find the core model of the study with factors included in the test, it could explain 44.42% of the fluctuation of financial leverage. It can be concluded that the independent variables that affect the financial leverage of industrial firms include firm size, rate of return, and non-debt tax shields. Based on this study, industrial enterprises can take steps to improve the most important metrics to improve their profits.

This article explores the application of machine learning techniques to improve forecasting efficiency for the stock market. Machine learning models have the potential to capture complex patterns and dependencies in stock market trends, enabling more accurate predictions and informed investment decisions. The article discusses the various machine learning algorithms suitable for stock market forecasting, including regression models, classification models, ensemble methods, and reinforcement learning techniques. Evaluation metrics, backtesting, and validation techniques are emphasized as crucial elements in assessing the performance of machine learning models. Additionally, a case study is presented, illustrating the implementation of machine learning in the stock market and highlighting the results and implications of the study. The article concludes by discussing future directions for further enhancing forecasting efficiency, including incorporating alternative data sources, enhancing model interpretability, and utilizing real-time forecasting capabilities. Overall, the application of machine learning in the stock market has the potential to revolutionize forecasting and contribute to a more informed and prosperous investment landscape.

This paper examines the effect of fixed assets on capital structure. Agency theory argues that when firms use debt, there are agency costs of debt due to the information asymmetry between shareholders and lenders. Fixed assets can be used as a device to reduce the conflicts of interest between shareholders and lenders, thus reducing agency costs of debt and increasing firms’ leverage. Using a sample of Vietnamese-listed firms on Hanoi and Hochiminh stock exchanges, we find that there is a positive effect of fixed assets on firms’ financial leverage. Moreover, firms in emerging markets like Vietnam are more likely to use fixed assets as collateral for long-term rather than short-term loans since they demand high leverage but have a low level of fixed assets. Finally, the analysis indicates that the cost of debt for companies is lower for firms with a high proportion of fixed assets and this may encourage the firms to become more leveraged.

Telecommunications technology has been one of the most transformative industries in the recent years as information technology applications have been widely implemented in life, society and business. To effectively exploit the potential of Vietnam’s technology and telecommunications industry, this article uses a quantitative economic model to assess the impact of investment decisions and capital raising decisions on the Beta coefficient—a rate that measures the volatility of a market-related securities or portfolios—of Vietnamese telecom and technology enterprises based on quarterly figures of telecom technology companies listed in the period 2018–2023. The results showed that the factors affecting the Beta index measuring equity capital risk are: short-term debt ratio, fixed asset turnover. From there, the author offers a number of solutions to help technology and telecommunications enterprises limit the risk of equity capital in capital raising.

Today, the retrieval of goods, production waste, and packaging is a common phenomenon that both traditional and online manufacturers, wholesalers, retailers, as well as logistics service providers frequently have to deal with. In the e-commerce, the retrieval of products plays a critical role in improving customer satisfaction. Consequently, numerous businesses and scholars are keen on comprehending the role of reverse logistics operations. This research has a primary focus on investigating how reverse logistics impacts the shopping experience of e-commerce customers. The study employed empirical methods and quantitative analysis with a sample size of 203 observations. The study’s findings demonstrated a positive correlation between different aspects of reverse logistics and the shopping experience and satisfaction of e-commerce customers. Moreover, it was revealed that the shopping experience acts as a mediator in the relationship between reverse logistics and customer satisfaction. Based on these findings, this research seeks to assist businesses in enhancing the quality of their reverse logistics services and optimizing overall logistics operations in e-commerce.

The study proves the influence of factors on the green consumption intentions of Gen Z. Specifically, the study tries to determine the influence of environmental awareness, health awareness, subjective standards, product features, product prices and green marketing activities on green consumption intentions. The study was conducted by designing questionnaires and sending them randomly to Gen Z in Hanoi. The result obtained 579 valid responses coded using SPSS software. The study conducted reliability testing, discovery factor analysis, correlation analysis, and finally multivariate regression analysis to determine the influence of factors on Gen Z’s green consumption intentions in Hanoi.

The exponential growth of the digital economy has brought unprecedented challenges to the global tax system, necessitating a revision of the concept of “permanent establishment” to align with the evolving business landscape. In this paper, the authors analyze the efforts of the Organization for Economic Cooperation and Development (OECD) in tackling these challenges, primarily through the Inclusive Framework on Base Erosion and Profit Shifting. Additionally, the authors delve into Vietnam’s proactive involvement in the OECD’s initiative and its implications for tax system reform in Vietnam. Based on these analytical findings, we offer practical solutions for Vietnam to modernize its tax system and protect its taxing rights in an ever-changing world.

The basic objective of this study is to determine the influence of factors on the intention to use QR-Pay in payment and electronic money transfer of students at universities. The research was conducted in two phases, qualitative research and quantitative research. Qualitative research identifies 4 factors affecting the intention to use QR-Pay form in payment and electronic money transfer of students at universities, including: (i) “Attitudes” for QR-Pay payment method, (ii) “Subjective norm”, (iii) “Perception of behavioral control” and (iv) “Trust” for QR-Pay payment method. Quantitative research is carried out through survey questionnaires. The study used multivariate regression analysis through SPSS 26.0 software with a sample of 852. The results of multivariable regression analysis showed that the research model is consistent with the survey data, in which, factors “Attitude”, “Trust” toward QR-Pay payment method and the variable “Subjective norm” have a positive influence on the intention to use QR-Pay in payment and electronic money transfer of students. Students at universities, the factor “Perception of behavioral control” has a negative influence on this intention.

The paper studies factors of intellectual capital affecting service innovation in the financial industry in Vietnam. Intellectual capital includes human capital, structural capital, and relational capital. Based on the knowledge-based and innovation diffusion theories and the previous research, the study explains factors that influenced service innovation, digital transformation, and the relationship between digital transformation and service innovation. The research uses the pilot survey to identify factors affected and initially examine the research model of factors affecting service innovation of financial organizations in Vietnam. This research adopts the second-order model of intellectual capital to examine the relationship between human capital, structural capital, and relational capital. The effect of intellectual capital on service innovation is contingent upon digital transformation in the financial sector. It demonstrates a significant effect on advancing service innovation by enhancing digital transformation in an industry that is swiftly being shaped and altered by technological advancements. Some managerial implications are proposed in this industry.

This study aims to evaluate the impact of financial structure (DR, SDR) on business efficiency (ROA and ROE). At the same time, analyze the regulatory role of agency costs (TAU, RAE) in the relationship between financial structure and business efficiency of listed companies on Vietnam’s stock market. The authors conducted quantitative analysis through the GMM model. The data collected from cross data and time-series data of 481 enterprises listed on Vietnam’s stock market in 2012–2020. Research results show that: (i) financial structure through debt ratio (DR) has a positive linear relationship with ROA, but has a nonlinear relationship (U-shaped) with ROE; (ii) financial structure (measured by short-term debt ratio–SDR) has a positive effect on both ROA and ROE; (iii) agency costs play a role in moderating the relationship between financial structure and business efficiency. Specifically, The effect of financial structure on business efficiency more strength by the efficiency of total asset utilization (TAU), but the ratio of administrative expenses to total revenue (RAE) reduces this impact.

In the trend of diversification and multilateralization of the process of international economic integration, Vietnam is increasingly opening up and participating in many bilateral and multilateral FTAs in many different fields. One of the FTAs that is said to have the greatest impact on Vietnam’s socio-economic development in the near future is the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP). The CPTPP Agreement has come into force with Vietnam since 2019 and so far has brought a lot of benefits to Vietnam in many different aspects. However, in reality, not everyone has certain understanding about the important agreement. Not only businesses but also students themselves who are sitting in universities and colleges need to grasp and have a certain understanding of the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP). In order to have a good awareness of trade agreements in general and the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) in particular, students themselves need to be aware of its necessity in the current digital economy. Research on selection of research scope at Hanoi University of Industry to assess the factors affecting student’s perception of the CPTPP Agreement. Research results show that knowledge has the strongest impact on students’ perception of this agreement. The results of multivariable linear regression model analysis also showed factors affecting students’ perception (including: knowledge, learning environment, students themselves, family environment, politics, etc.) government books.

The study with the application of quantitative methods will shed light on the determinants of accounting information of expenses, revenue and business results at Vietnamese listed pharmaceutical companies. The authors used questionnaires to conduct a survey. Four determinants were identified, including: legal requirements, business size, manager’s viewpoints and accounting team. As a result, authors offered some suggestions for enhancing the effectiveness and efficiency of management for this sector of the economy with regard to the accounting system.

The objective of the study is to investigate the effect of financial ratios on the net cash flow of companies listed on the Vietnam stock exchange in 2020. Quantitative research was carried out by obtaining the financial statements of 712 companies listed on the Hanoi and Ho Chi Minh Stock Exchange as secondary data. Data analysis was done by using correlation analysis, multiple linear regression analysis and the results show that there all of the five studied factors have effects on companies’ cash flow, of which profit has a positive and most influencing factor with the coefficient of 0.680, whereas efficiency ratio in term of inventories and receivable turnover has the least positive impact on cash flow with the coefficient of 0.032. The liquidity ratio has a negative impact on net cash flow with the coefficient value of − 0.016. Hence, this study provides some recommended solutions for businesses to improve the cash flow management according to its business condition by looking at influencing factors including financial leverage, maintain liquidity and make cash flow planning in the short and long term.

This study explores the influence of fundraising decisions on the sustainable growth of listed fishing companies in Vietnam. Employing a combination of qualitative and quantitative methods, the research analyzes financial data obtained from 35 fishing companies listed on the Vietnam stock market during the period from 2009 to 2021. The findings reveal that fundraising decisions exert a substantial impact on the sustainable growth of these listed fishing companies in Vietnam. More specifically, debt financing positively contributes to the sustainable financial development of these enterprises, whereas equity financing has a detrimental effect. Control variables have been incorporated into the model to assess their effects on the sustainable growth rate. These findings offer valuable insights to policymakers and practitioners within the fishing industry, empowering them to make well-informed decisions regarding financial strategies that foster sustainable growth.

The research results provide evidence of a positive relationship between CASA and business performance on both the return on assets (ROA) and net profit margin (NIM) scales. Findings show technological innovation as well as the ability to digitize payment activities contribute to increasing the business effectiveness of banks. Besides, the factors of cost management capability (CIR), bad debt ratio (NPL), capital structure (DER), loan asset ratio (LAR), and deposit asset ratio (DAR) are also examined in the regression model. Based on the results, some discussions and future research directions are also proposed.

This study aims to determine the factors affecting the entrepreneurial intention of graduate students in Hanoi city. Data is collected from 343 graduate students living in Hanoi city. Using exploratory factor analysis and linear regression, the author found four factors affecting the entrepreneurial intention of graduates in Hanoi city, respectively: (1) family foundation, (2) financial ability, (3) entrepreneurial qualities, (4) entrepreneurship risks. The implication of this study is expected to be a great contribution in academia and an important document in improving the current entrepreneurship education curriculum.

This study examines the financial performance and profitability of Thai non-life insurance companies affected by the COVID-19 pandemic. The samples of 204 non-life insurance companies were selected due to their accessibility of financial information and relevance to the study. The data observations contain information of the Thai non-life insurance companies from 2018 to 2021. Twelve financial stability, operational efficiency, and profitability indicators are identified among non-life insurance companies. This study examines the profitability of non-life insurance companies using return on assets (ROA) and return on equity (ROE). This study uses t-tests to compare before and after COVID-19 and multiple regression models to determine the factors that influence profitability. The result revealed that the COVID-19 pandemic has caused significant financial instability in Thailand’s non-life insurance companies, particularly in their capital adequacy ratio (CAR) and debt-to-equity ratio (DE), indicating a potential shift in stability. The COVID-19 pandemic did not affect operational performance or profitability. Thai non-life insurers maintained operating efficiency and profitability despite difficult conditions. The report recommends non-life insurers focus on financial stability, operational effectiveness, and size to maximize profitability and survive post-pandemic.

This research examines the impact of capital structure on financial performance of listed pharmaceutical and medical firms in Vietnam. Using FGLS regression method on financial datasets of 24 pharmaceutical and medical firms listed on HOSE and HNX in the period from 2012 to 2021. The research results show that the capital structure represented by the debt to total assets ratio has a negative impact on financial performance, and the results have a consensus when using both short-term debt and long-term debt ratios. On the other hand, this research also shows that tangible fixed asset ratios have a negative effect, revenue growth opportunities have a positive effect on financial performance of pharmaceutical and medical firms. The research findings confirm the role of capital structure on the financial performance of firms according to the argument of the pecking order theory and are the basis for proposing some implications to improve financial efficiency for firms.

Tea productivity in non-poor households is always higher than tea productivity in poor households. Low productivity is mainly due to farmers not exploiting the available technologies, resulting in lower production efficiency. Data-enveloped analysis (DEA) was used to evaluation the allocation, economic, and technical efficiency of tea cultivation in 210 non-poor farmers and 70 poor farmers in Thainguyen Province, Vietnam. Result has shown that most tea farms have allocation, economic and technical inefficiencies. DEA result also indicated that poor farmers are inefficient in tea cultivation with an average level of economic, allocation and technical efficiency of 70, 84.7 and 82.7%, respectively. Meanwhile, non-poor households have a higher level of efficiency with 94.3% technical effects, 85.4% distribution effects, and 80.5% cost effects. The difference in production resources is the cause of the difference tea production between poor and non-poor households. These findings suggested that tea production at the study site will be significantly improved by incorporating inputs to avoid wasting resources.

This research investigates the influence of capital structure factors on the business performance of 68 enterprises operating in the real estate and construction sectors. These enterprises are listed on the Vietnam Stock Exchange, and data was collected from 2011 to 2021, resulting in a total of 628 observations. The study utilizes various statistical models, including ordinary least squares (OLS), random effects model (REM), fixed effects model (FEM), and the GLS model for adjustment. The findings reveal that seven capital structure factors significantly impact business efficiency. These factors encompass: (1) the age of the enterprise, (2) the revenue growth rate, (3) the short-term debt to total assets ratio, (4) the long-term debt to total assets ratio, (5) the total debt to total assets ratio, (6) the net fixed asset value to total assets ratio, and (7) the percentage change in total assets.