The purpose of this study is to discover the possible solutions for the problem faced by academicians during online learning by means of employing qualitative and quantitative approaches. Using a qualitative approach, selected academicians were interviewed, and their feedback was transcribed and used to develop the survey instrument. The quantitative research design was later used to determine the most plausible solutions for the problem that could be obtained and implemented by distributing the questionnaire to academicians at a public university. Multiple regression analysis results indicate that work-life conflict and lack of support are the main contributors to academicians' mental and emotional health issues. The study's major findings help higher education institutions craft appropriate strategies to enhance the effectiveness of online teaching and learning by providing the necessary support to the academicians. The study's findings suggest that academicians should separate work and family requirements to concentrate on their job. Furthermore, the immediate supervisor must be considerate in determining the number of tasks, the deadlines, and the assistance required to complete the task. Lastly, academicians must equip themselves with emotional intelligence to cope with stressors.

The purpose of this research is to investigate the impact of Business Intelligence (BI) on the relation between Big Data Analytics (BDA) and Financial Performance (FP), at the beginning we reviewed the academic accounting and finance literature to develop the theoretical framework of business intelligence, big data and financial performance in terms of definition, motivations and theories, then we conduct an empirical analysis based on questionnaire-base survey data collected. The researchers identified the study population in the joint-stock companies listed on the Egyptian Stock Exchange and operating in the sectors and activities related to modern technologies in information systems, big data analytics, and business intelligence, in addition to the auditing offices that review the financial reports of these companies, and The sector closest to the research objective is the communications, media, and information technology sector, where the survey list was distributed among the sample companies with (15) lists for each company, and (15) lists for each audit office, so that the total sample becomes (120) individuals (with a response rate 83.3%), The results show, First, Big data analytics significantly affect organizations' financial performance, second, Business intelligence mediates (partial) the relationship between big data analytics and financial performance.

The goal of this study is to understand how financial inclusion (FI) as influenced by Internet subscribers in India, affects India's Sustainable Development Goals (SDG). This study makes use of secondary data that was collected from 16 Indian states and one Union Territory between the fiscal years of 2018 and 2020. The goal of this study has been investigated using panel data regression analysis (PDR). And the study's findings indicate that wages received through MNREGA accounts and post office operating accounts under the supervision of Internet subscribers have a significant negative impact on India's SDGs, demonstrating how financial inclusion is harming the country's efforts to achieve sustainable development. This study suggests that it is important to pay attention to rural areas' access to the digital environment and their degree of digital literacy. These findings imply that improving the MGNREGA program and employees' pay might help the government alleviate poverty in India. Financial inclusion also depends heavily on financial literacy. The government should improve its digital infrastructure in rural and urban areas so that people there may better understand and utilize it given that it promotes financial inclusion, digitalization, economic advancement, rural development, and poverty reduction.

This study aims to evaluate patients' satisfaction with healthcare services in Hawtat Bani Tamim Governorate during the spread of coronavirus. The importance of this study stems from the fact that Covid-19 is challenging countries all over the world. The study adopted a questionnaire for collecting the data. The sample size reached 231 members. The study applied descriptive statistics and inferential statistical methods to obtain the result of the study. The analysis of the data revealed that most of the participants are satisfied with the healthcare services in hospitals and health centers during the Corona pandemic, Health precautions and distancing measures were applied appropriately, Vaccination against corona was available in health centers and easy to access, and rapid response of health care service providers to patients' requests. The participant's opinions showed that the application of Mawid is a suitable method to access healthcare services during Corona, the application is more efficient in providing the required healthcare services and facilitating their access to healthcare services. In addition, patient satisfaction with the "My health" application provided fast and convenient services during the Corona pandemic and provided medical consultations easily.

The study attempts to examine the relationship among revenue growth factors from different angles and provides a comprehensive overview of tax revenue collection for developing countries. The impact of income tax, customs duty, and value-added tax on the gross domestic product is examined using the ordinary least-square (OLS) multiple regression approach. To confirm the association, a multiple regression model is applied to time-series data. SPSS software, MS Excel, is used to draw the empirical results, trend analysis, and some graphical presentation to reach the study's objective. The findings show that while the value-added tax has a significant impact and the highest coefficient, regardless of country, income tax and customs duty may or may not be significant depending on the circumstances. It triggers effectual and efficacious economic growth. The paper has implications in policy-making areas where governments are seeking how to stimulate revenue growth effectively and efficiently. To promote economic growth, the tax net and tax rate on luxury goods should be increased along with human resources in the tax administration for the short term. But in the long term, decentralization & digitization of tax administration, dismantling the existing tax barriers and good governance are necessary.

The study aims to evaluate the impact of corporate social responsibility on customers' repurchase intention in Vietnam's fast-moving consumer goods (FMCG) industry. This study employs primary data surveyed from 417 Vietnamese consumers, and the sample is selected based on the willingness to participate in providing information. The results show corporate social responsibility's positive impact on repurchase intention in the FMCG industry in the Vietnam market. There are three components of corporate social responsibility, including ethical responsibility, legal responsibility, and economic responsibility have a positive impact on repurchase intention. The economic responsibility component has the greatest effect on repurchase intention. There is not enough statistical basis for the philanthropic responsibility component of corporate social responsibility to recognize its impact on repurchase intention. The findings of this study suggest that companies dealing in the FMCG industry in Vietnam need to invest more in further developing their corporate social responsibility, it not only helps to improve their customer loyalty to businesses but also contributes to promoting the country's economic and social development in a better and more sustainable direction.

This study aims to determine the direct effect of positive online reviews, negative online reviews, the usefulness of online reviews, reviewers' expertise, timeliness of online reviews, the volume of online reviews, and comprehensiveness of online reviews on accommodation booking intentions and also the indirect effect of positive online reviews on the intention of booking accommodations through trust as mediation. Research respondents are users of the accommodation booking application in Yogyakarta. Hypothesis testing was carried out using SEM (Partial Least Square). Data was collected by distributing questionnaires to 135 respondents. The results of this study indicate that the Usefulness of Online Reviews, Volume of Online Reviews, and Comprehensiveness of Online Reviews have a direct positive and significant influence on the accommodation booking Intention of booking application users in Yogyakarta. The variables of Negative Online Reviews and Timeliness of Online Reviews have negative and significant influences on the accommodation booking Intention of booking application users in Yogyakarta. Positive Online Reviews and Reviewer Expertise variables are not significant in this study. At the same time, the Trust variable has a full mediation relationship in an indirect relationship between the Positive Online Reviews variables and the accommodation booking Intention of booking application users in Yogyakarta.

In the current era of globalization, financial and banking organizations have been facing ever-growing challenges in the global market regarding retention, customer satisfaction, commitment, engagement, proper services, and the belief of their employees. Employees are regarded as an enormous asset for every organization that plays an important role in achieving the vision of the company. The objective of this study is to explore the determinants of bank employee retention and its impact on an organization in the context of Bangladesh. In terms of research purpose, non-probability convenience sampling has been used in this study, and the targeted population was the commercial bank employees of Bangladesh. In terms of data collection, the researchers have used the adopted questionnaires from previous studies. In this study, the total sample size was 180, and a questionnaire was sent to the respondents through e-mails. For analyzing the collected data, SPSS 26.0 version has been used to test the study model and the proposed hypotheses. This study shows that there were four independent variables training and development, organizational culture, job satisfaction, and career development have a positive and significant impact on employee retention. So, the bank management should organize the retention program for the welfare of the employees.

This study's goal is to investigate the effects of board size, the number of annual board meetings, the profitability of the company, and the audit Committee on the disclosure of climate change in Saudi companies listed on the stock exchange. It was conducted to evaluate affecting some factors on carbon emissions by the regression model. The study uses the content analysis method. Data was collected from the annual and sustainability reports, and the platform database Refinitiv, an LSEG (London Stock Exchange Group Company) for the period 2018 to 2021. The study sample is 51 companies. The study findings showed Saudi Arabia saw its first significant overall drop in CO2 emissions with a 22.61 MtCO2 decline (3.93%) in 2018. The study revealed a positive connection between the size of the director's board, and the disclosure of carbon emissions in Saudi firms listed on the stock market. While other factors are not related to the number of director's board meetings, the audit committee, and the profitability of the company on the disclosure of carbon emissions in the Saudi companies listed on the stock exchange.

This study aims to address the literature gap by examining the direct relationship between big data analytics capability, marketing innovation, and organizational innovations. Additionally, this study would examine big data analytics capability as the antecedent for both innovation types and how these relationships influence firm performance. The research model is developed based on the integration of resource-based view and knowledge-based view theories. The quantitative method is used as the research methodology for this study. Based on a purposive sampling method, a total of 115 questionnaires were obtained from managers in star-rated hotels located in Malaysia. Partial least square structural equation modeling (PLS-SEM) is utilized for the data analysis. The result shows that big data analytics capability positively affects marketing and organizational innovations. The findings show that big data analytics capability and organizational innovation positively influence firm performance. Nonetheless, the result revealed that marketing innovation is not positively related to firm performance. The findings also indicate to hotel managers the importance of big data analytic capability and the resources required to build and develop this capability. The contributions from this study enrich the literature on big data and innovation, which is particularly limited in the hospitality and tourism context.

The COVID-19 pandemic has impacted the restaurant business adversely. The restaurant business is essential for Thailand's economy as it generates high income and a high employment rate. This study aimed to determine the relationships between restaurant businesses. Furthermore, it examined the problems encountered during COVID-19 and measures already implemented and planned. The research is intended to resolve these issues. We collected data from 136 people who worked in restaurants in Bangkok, Thailand, via telephone interviews. The data was analyzed by descriptive statistics and correspondence analysis using SPSS. The findings of this analysis indicate that all restaurants, irrespective of their size, face problems, though their planned and remedial actions are different. One finding was that medium restaurants face more financial problems and increased costs than others. They are countering this challenge through measures such as applying for loans and transitioning into a "non-restaurant" business. Nevertheless, typical medium restaurants have not engaged in extensive planning for the future. Based on a fact-finding survey, we considered appropriate short- and long-term measures suitable for micro, small and medium restaurants. In addition, our study's findings will help policymakers and practitioners identify strategies for responding to the COVID-19 outbreak and other future crises.

This study seeks to ascertain whether publicly listed Jordanian corporations (listed on the Amman Stock Exchange (ASE)) exhibit accounting conservatism and whether such companies distribute dividends to stockholders. Furthermore, this study delves into the implications of accounting conservatism on dividend policy in the context of the quality of financial statements of publicly listed Jordanian companies listed on the ASE. To accomplish the aims of this study, the Quality of financial reporting is treated as a moderator for the relationship between accounting conservatism and dividend distribution. Hence, a panel data approach was utilized, which encompasses cross-sectional data for 95 industrial and service establishments for the period (2013-2017). The study found that accounting conservatism has a negative impact on dividends and that there is no difference in the impact of accounting conservatism on dividends based on the quality of financial reports. The study concluded with a number of recommendations, the most salient of which is the need for companies to enhance their concentration on accounting conservatism and adopt a suitable policy for dividends. Thus, this research provides an insights into the financial practices of Jordanian publicly listed corporations and highlights the need for a more informed decision-making process concerning dividends and accounting practices.

Financial literacy (FL) is significant, as educated investors have a culture of savings and investment. The current study was conducted to identify the level of Orientation toward finance (ORTOFIN) and its impact on specific financial behavior variables like Financial Literacy (FL) and Intention towards investment (ITI). Data was randomly collected from 210 gainfully employed respondents using three standardized questionnaires. Demographics of the respondents were also collected. The data was analyzed using correlation and regression. The variables include ORTOFIN, Financial Literacy, and Intention towards Investment, while the control variables include gender, age, qualification, years of experience, and type of industry working. The results of the study show that all three variables (ORTOFIN, FL, and ITI) had significant relationships among themselves. In addition, it as has been found that ORTOFIN and FL positively influence investment intention. The finding that ORTOFIN and literacy are related to investment intention is new, as no past studies have examined this aspect, which is unique. The study also discusses the implications and limitations of the study, such as the impact of family involvement. It thus indicates a positive effect of the variables studied on investment intentions. The study is expected to stimulate further empirical examination of the variables.

This study's principal goal is to find the interrelation between transparency & disclosure (TD) and the healthcare sector's firm valuation (FV). The paper uses the market-to-book (MTB) ratio and market capitalization as proxies, where sales measure act as a control variable. Dynamic panel data regression (PD) is the method applied for analyzing data. Data pertains to 10 healthcare companies gathered over five years (2016-2020). Results imply that TD has a negative and significant influence on the FV, where market capitalization acts as a proxy for valuation. This association indicates that a greater degree of TD diminishes FV. TD is also reported to have a negative and insignificant association with MTB. Therefore, TD does not influence FV. The findings of this paper have significant practical implications. Results can help policymakers determine mandatory disclosure levels that are not detrimental to the healthcare sector. Managers and analysts must also analyze the dimensions of disclosure that can negatively impact the firm's valuation and make decisions regarding TD accordingly. This is the first study to assess the influence of TD on the FV of the Indian healthcare sector, which makes it unique. This study is limited to the healthcare sector, which is its shortcoming.

This study aims to investigate the effect of the composition of the board and ownership structure on a firm's value in Jordanian firms. Specifically, it aims to determine the effect of board size, (CEO) duality, and family, foreign, institutional, and government ownership on a firm's value. An ordinary least square regression (OLS) was employed to examine the study hypotheses in a sample of 35 Jordanian industrial firms (175 firm-year observation) for a period of five years from 2016-2020. As measured by Tobin's Q (Q ratio) and market-to-book (MB ratio) for Jordanian industrial firms listed on Amman Stock Exchange (ASE). The result found that foreign ownership, institutional ownership, and family ownership have a significant and positive effect on firm value. By contrast, government ownership does not have a significant effect on firm value. With respect to board composition (CEO duality and board size), the study results found no evidence to support the effect of board composition on firm value. The study recommended the concerned authorities with several recommendations, most notably: taking the necessary measures to ensure the continuity and growth of family businesses because of their positive impact on the value of the company and economic growth, spreading awareness about how governance protects the interests of investors.

Competition assures improved products and services to meet customers' needs. The soundness of a firm's financial health is crucial for the country's economic well-being. Distressed companies cause investor panic, which has a knock-on effect on the economy and leads to a deterioration in the image and value of the companies. This paper aims to empirically investigate the influence of competition on financial distress (FD) in the healthcare industry using the Altman Zscore values as the proxy for FD. This study uses secondary data from ten healthcare companies operating in India between 2016 and 2020. The study's findings indicate a significant negative relation with the exogenous variables of the study, implying that a higher level of competition enhances a firm's FD or adversely affects financial health. The main implication of the study is two-pronged. Firstly, the firms' managers and decision-makers need not worry about competition as a deterrent to stability. Secondly, the policymakers need not be concerned that high competition may lead to financial stress for the firms. Therefore, this paper concludes that competition is good for firms operating in India.

This paper proposes and examines the economic impact of infrastructure improvement on the San-En-Nanshin region in the Chubu area of Japan. We develop a single transportation computable general equilibrium (CGE) model for each subregion within the San-En-Nanshin region. The explicit modeling of the transportation infrastructure is defined based on interregional commuting flows and business trips, considering the spatial structure of the San-En-Nanshin economy. A CGE model is integrated with an interregional transportation network model to enhance the framework's potential for understanding the infrastructure's role in regional development. To evaluate the economic impact of transportation improvement, we analyze the interrelationship between travel time savings and regional output and income. The economic impact analysis under the CGE framework reveals how transportation facilities and systems affect firm and household behavior and therefore induce changes in the production and consumption of commodities and transportation services. The proposed theoretical model was tested by using data from the 2005 IO tables of each subregion and the 2006 transport flow dataset issued by the Ministry of Land, Infrastructure, Transport, and Tourism in Japan. As a result, the paper confirms the positive effect of transportation investment on the total output and income of the studied region. Specifically, we found that while economic benefits typically appear in urban areas, rural areas can still potentially benefit from transportation improvement projects.

Since the banking industry relies so heavily on strong customer-staff interactions, measuring employee job satisfaction has become a critical problem. To achieve benefits for both individuals and organizations, it is crucial to foster and ensure employee job satisfaction. The main objective of this study is to determine the influencing factors of employees' job satisfaction in commercial banks in Bangladesh. This study focused on some significant factors such as employee empowerment, job security, management support, and attractive compensation in an organization. In terms of research purpose, non-probability convenience sampling has been used, and the study is quantitative in nature. For data collection purposes, an online survey questionnaire was prepared based on previously published articles. The targeted population was the bank employees of commercial banks in Bangladesh where the final sample size was n = 200. For analyzing the collected data, SPSS 26.0 version has been used to test the study model and the proposed hypotheses. This study also shows that employee empowerment, job security, management support, and attractive compensation have positive and significant effects on employees' job satisfaction at the workplace. Finally, this study has offered some extraordinary directions and implications for future research on commercial bank authorities in Bangladesh.

This research work aims to investigate the role of FDI in Economic Development by assessing its relationship with GDP per capita in Vietnam +5 from 1986-2020. Through descriptive statistical, correlation matrix analysis, and econometric models, including Vector Error Correction Model (VECM) and Feasible Generalized Least Squares (FGLS) estimation methods using Stata 15.1. The VECM estimation method results show that FDI positively impacts Economic Development in the short run while not finding a long-run relationship. In addition, it is found that a clear relationship between Exports and Economic Development in both the short run and the long run. Meanwhile, CO2 emissions and Employment Opportunities have no clear relationship with Economic Development in the short run. However, the relationship is reversed in the long run, as the empirical study in Vietnam. The results of the FGLS estimation method show that FDI, CO2 emissions, and Exports have a significant and positive impact on Economic Development in five selected Southeast Asian countries without Employment Opportunities in the long run. From these findings, the author proposes some policy implications of attaching FDI to sustainable Economic Development in Vietnam next time.

This paper mainly studies the relationship between financial development, inbound tourism development, and economic growth rate in Fujian Province, China. This study uses the data of real GDP, foreign exchange income from international tourism, and financial interrelations ratio from 1994 to 2019. In the analysis process, the Johansen cointegration test is first used to analyze whether the three have a long-term equilibrium relationship. Then the vector error correction model is established to test the restrictive relationship among the three. Next, the Granger causality test assesses whether the three have a causal relationship. Finally, the contribution rate of the three is analyzed by variance decomposition. The above methods show the following conclusions: first, the three have a long-term equilibrium relationship. Secondly, in the short term, local economic growth is constrained by inbound tourism and financial development. Thirdly, there is a causal relationship between economic growth and inbound tourism in Fujian, while there is a unidirectional causal relationship between financial development and economic growth, financial development, and inbound tourism. Fourthly, the contribution rate of inbound tourism to economic growth fluctuations in Fujian is higher than that of financial development.

Entrepreneurship brings countless values to each individual and practical benefits to society and the economy. Recently, the call for a better understanding of entrepreneurship from corporations and governments is regularly voiced the day, both in the academic literature and in public discussions. This study examines factors influencing the startup decision of young people in Vietnam. Primary data was collected from an online survey and then imported into an Excel file before being analyzed by SPSS 22. The total number of relevant observations for the study is 656, using numerous statistical approaches such as EFA and multiple regression analyses. This study contributes to the existing literature and current practice by suggesting six major determinants of startup intention: self-expectation, personal attitudes, self-competency, perceived feasibility, entrepreneurial orientation, and financial wealth. Among these factors, self-competency and entrepreneurial orientation are statistically significant, indicating that the capability of young people is the most important determinant of their startup intention. Additionally, the results indicate that self-expectation, attitude, perceived feasibility, and finance do not impact students' intention to pursue entrepreneurship. We suggest that by enhancing the training quality of universities, young people will be provided with much essential knowledge and technical skills for running a business.

This study examines the low performance of state civil servants related (ASN) to the management of public transportation at the Directorate of Road Transport (DRT), Ministry of Transportation, Indonesia. This study surveyed 103 ASNs, using a quantitative approach using the Amos SEM software. The results showed that Knowledge Sharing (KS) and Work Engagement (WE) directly influenced Innovative Work Behavior (IWB) as well as Job Performance (JP). Meanwhile, IWB had a significant, direct effect on JP and acts as a full mediator in the effect of KS and WE on JP. The descriptive data obtained also showed that respondents' statements based on gender have differences related to the IWB variable, where on average, women were better than men. However, for other variables (JP, KS, and WE), the data showed that, on average, the statements of male respondents were better than women. This study recommends that the DRT pay attention to IWB as a key factor mediating KS and WE towards increasing JP by maintaining the best indicators and improving the weakest indicators. Furthermore, this study recommends that future research refine these results by adding the variables of gender and educational level of the respondents.

Financial sectors, like other sectors with strict hierarchies, need help to be adaptive or agile enough to satisfy the needs of competitive situations. In this regard, this study aims to evaluate the influence of job satisfaction on the link between job empowerment practices and the agility of human resources and fills the gaps in the current literature. To fulfill these aims, the study employs data collected through a survey of 460 employees randomly selected across various levels of commercial banking. AMOS 25 was used to conduct a statistical data analysis by applying structural equation modelling to test the hypotheses. The findings revealed positive and direct associations between job empowerment practices, job satisfaction, and the agility of human resources. In addition, employee satisfaction served as a powerful intermediary between empowerment practices and the agility of human resources. This study is one of the first to analyze the association between these factors in this field. These results imply that banks should develop effective job empowerment strategies to increase employee job satisfaction, which can lead to a more agile workforce. As mentioned in this paper, it also has important and helpful implications for academics and banks.

This paper investigates the determinants of credit accessibility and the effect of credit on the income of farm households borrowing from Vietnam Bank for Agriculture and Rural Development, Giong Rieng District Branch, Kien Giang Province. Based on the primary data of 200 farming households who are the customer of the bank, the study applied the Probit regression model to examine determinant factors of credit accessibility of farm households and employed the Propensity score matching method to investigate the impact of credit on households' income. The findings of the Probit regression shown that three independent variables that significantly influence the access to credit of households are household size, income source, and farm size. Besides that, the Propensity score matching method results showed a difference of 23.799 million VND/year between the income of borrowing households and that of non-borrowing households at the significance level of 1%. The difference in the imcome from the interval and central matching methods are VND 24.700 million VND/year and VND 24.633 million VND/year, respectively. Given empirical findings suggetsted that several recommendations to increase the credit accessibility of farm households, thereby creating favorable conditions for improving their income.

The relationship between the state and taxation starts from the establishment of the state. The most important element is the concept of "tax compliance". Tax compliance can be considered as the harmony of state-society relations. However, the concept of tax non-compliance occurs when taxpayers do not fulfill their tax-related tasks as required. Tax noncompliance is just one of the costs that occur in tax systems, and is named "tax compliance cost" in the literature. This study focuses on tax compliance costs because tax compliance costs are the ones taxpayers are personally obliged to deal with. For this purpose, the study investigates costs accruing from tax systems, including efficiency, planning, application, and compliance costs. According to the analysis results, it was concluded that the main reason for fraud in the tax systems is high compliance costs and that tax compliance directly impacts social wealth. Besides, the existence of conditions conducive to tax evasion and tax avoidance in a country, short-term tax policies, belief in the unfairness and inequality of tax systems, inadequacy of audits conducted by tax authorities, insufficiency of pressure and deterrence mechanisms, constantly changing legislation, and the attitudes and perceptions regarding the illegitimacy of the government determine tax compliance.

Recently, the call for better accountability and social responsibility from corporations has been regularly voiced, both in the academic literature and in public discussions. This poses a challenge to the existing literature in understanding consumption behaviors to direct them toward sustainable development. This study investigates the purchase intention of Gen Z consumers in Vietnam with green packaging products. Data were collected from 914 respondents by online questionnaire and then analyzed using OLS. The results suggest the significant influence of customers' income and packaging in driving customers' intention to use environmentally-friendly products. Specifically, consumers in a higher income class participate more actively in green purchases. However, problems associated with inadequate packaging are also illustrated, resulting in the poor perception of green messages and poor practice of ecological actions. Besides, subjective norms and green trust are found to be adversely related to green consumer intention. In addition, gender disparity in green behavior is reported, where female consumers show a higher tendency to ecological consumption than their male counterparts. Other demographic factors are also included in the model as control variables, which are age, education, price, environmental literacy, environmental concern, and psychological awareness, but they do not have a significant impact on green purchase intention.

This research aims to identify the role that small and medium enterprises (SMEs) can play in achieving the economic goals of the vision of Saudi Arabia 2030. The study relied on descriptive analysis, designing a standard model, and analyzing it using the Eviews9 program. The study also adopted the questionnaire as a tool for data collection. The study area covered Alkharj and Hawtat Bani Tamim governorates. The sample size of the study was 142 participants. The study's results confirmed the existence of a significant impact of changes in independent variables (X1, X2, X3, X4), which are (GDP, non-oil exports, number of employees, and public revenues), respectively. The dependent variable (Y) represents the number of small and medium-sized businesses in the Kingdom of Saudi Arabia. Additionally, it was found that 61.3% of small and medium-sized enterprises in the governorates of Al-Kharj and Hawtat Bani Tamim operate in the commercial sector. Most study participants concur that SMEs significantly lowered the unemployment rate and helped boost the GDP rate in the Kingdom of Saudi Arabia. The obstacles and difficulties facing the establishment of these enterprises were financial problems, marketing problems, and corporate monopoly. Furthermore, most of the small and medium l enterprises faced financing problems.

In general, using information and communication technology (ICT) to support problem-solving is becoming increasingly common across various industries, sectors, and regions. However, there have been few analyses on the factors affecting ICT problem-solving among officers working at People's Committees of mountainous communes. Using survey data, exploratory factor analysis (EFA), and multivariable linear regression, this study examined the factors that influence the use of ICT in resolving works among community officers at People's Committees in the Northwest mountainous region of Vietnam. The results showed that three factors with statistical significance affecting the dependent variable are computer skills, gender, and occupation of community officers. Therefore, it is recommended that officers participate in ICT training courses or engage in regular self-study to improve their computer skills and qualifications. Both men and women should also prioritize the use of ICT equipment. The study also found that officers in managerial positions were more likely to use ICT for problem-solving than their counterparts. However, some factors that affect the use of ICT were not identified in this study, leaving room for further research.

The radical Coronavirus (COVID-19) has swiftly unfolded everywhere globally; it continues to unfold uncontrollably and critically, affecting all economies. The pandemic is not only a health issue but also has distinct effects on the global economy and enterprises. The impact of this novel Coronavirus is also well-documented in the financial sector. This study aims to investigate the impact of COVID-19 on corporate governance and banks' financial performance. Moreover, this study also examines the impact of corporate governance on banks' performance in Bangladesh. The study uses return on equity, return on assets, non-performing loans, return on investment, and earnings per share to measure the performance of the banks. And characteristics of corporate governance are measured by board size, number of independent directors on the board, number of female directors on the board, number of board meetings, and number of members in the audit committee. The study uses descriptive statistics, correlation analysis, t-test, and panel regression analysis. The study finds that COVID-19 significantly impacts the banks' performance and some corporate governance characteristics. The study also reveals that corporate governance significantly impacts the financial performance of commercial banks. The findings of this study suggest that banks should concentrate more on corporate governance.

This study investigates the impact of capital adequacy and operating efficiency on the performance of Saudi banks. In the first part, the study includes a brief introduction focused on the impact of capital adequacy and operating efficiency on the performance of banks. In the second part, a literature review examined various studies on the impact of capital adequacy and operating efficiency on banks' performance. The study methodology was presented in the third part, based on a sample that included all local Saudi banks from 2010 to 2021, using a study model to answer the study hypotheses. The results of the panel data regression indicated that CAR had a negative and significant effect on ROA and ROE but a negative and non-significant effect on NIM. CIR has a negative and significant effect on ROA, ROE, and NIM, while SIZE, LTD, and MS have a positive and significant effect on ROA, ROE, and NIM. Elimination of defects has no significant effect on return on assets, return on equity, and the NIF. But CR has no significant effect on ROA and ROE but has a positive and significant effect on NIM.