This study analyzes the key drivers (commitment, integration of big data, green supply chain management, and green human resource practices) of sustainable capabilities and the influence to which these sustainable capabilities impact the banks' environmental and financial performance. Additionally, this study analyzes the impact of green management practices on the integration of big data technology with operations. The theory of dynamic capability was deployed to propose and empirically test the conceptual model. Data was collected through a self-administrated survey questionnaire from 319 participants employed at 35 banks located in six ASEAN countries. The findings indicate that big data analytics strategies have an impact on internal processes and banks' sustainable and financial performance. This study indicates that banks committed towards proper data monitoring of its clients achieve operational efficiency and sustainability goals. Moreover, our results confirm that banks practising green innovation strategies experience better environmental and economic performance as the employees of these banks have received advance green human resource training. Finally, our study found that internal and external green supply chain management practices have a positive impact on banks' environmental and financial performance, which confirms that ASEAN banks contributing in reduction of environmental impact through its operations will ultimately experience increased financial performance.

This empirical research aims to identify the relationship between fiscal and financial macroeconomic fundamentals and the volatility of government bonds' borrowing cost in an emerging country - Vietnam. The study covers the period from July 2006 to December 2019 and it is based on a sample of 1-year, 3-year, and 5-year government bonds, which represent short-term, medium-term and long-term sovereign bonds in Vietnam, respectively. The Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) model and its derivatives such as EGARCH and TGARCH are applied on monthly dataset to examine and suggest a significant effect of fiscal and financial determinants of bond yield volatility. The findings of this study indicate that the variation of Vietnam government bond yields is in compliance with the theories of term structure of interest rate. The results also show that a proportion of the variation in the yields on Vietnam government bonds is attributed to the interest rate itself in the previous period, base rate, foreign interest rate, return of the stock market, fiscal deficit, public debt, and current account balance. Our results could be helpful in the macroeconomic policy formulation for policy-makers and in the investment practice for investors regarding the prediction of bond yield volatility.

The study investigates herding behavior in cryptocurrencies in different situations. This study employs daily returns of major cryptocurrencies listed in CCI30 index and sub-major cryptocurrencies and major stock returns listed in Dow-Jones Industrial Average Index, from 2015 to 2018. Quantile regression method is employed to test the herding effect in market asymmetries, inter-dependency and intra-dependency cases. Findings confirm the presence of herding in cryptocurrency in upper quantiles in bullish and high volatility periods because of overexcitement among investors, which lead to high volume trading. Major cryptocurrencies cause herding in sub-major cryptocurrencies, but it is a unidirectional relation. However, no intra-dependency effect among cryptocurrencies and equity market is observed. Results indicate that in the CKK model herding exists at upper quantile in market that may be due when the market is moving fast, continuously trading, and bullish trend are prevailing. Further analysis confirms this narrative as, at upper quantile, the beta of bullish regime is negative and significant, meaning the main source of market herding is a bullish trend in investment, which increases market turbulence and gives investors opportunity to herd. Also, we found that herding in cryptocurrencies exits in high volatility periods, but this herding mostly depends on market activity, not market movement.

An economic downturn can occurred through unexpected events in various fields, such as the subprime mortgage crisis and the outbreak of Coronavirus Disease-2019 (COVID-19). Trade credit is important for small- and medium-sized enterprises (SMEs), especially during a monetary contraction, as it is the last option for firms that lack bank credit. This study aims to determine whether trade credit is profitable for the buyer and supplier firms during and after a financial crisis. We use panel data consisting of all trade credit transactions and financial statements of 5,751 Korean firms during the period 2008-2012. It shows that trade credit is more profitable for both buyers and suppliers in the post-crisis period than during the crisis. Moreover, trade payable is more effective for unconstrained buyers than for constrained buyers. Finally, a mixed strategy is superior to an aggressive or passive strategy of SMEs. The results suggest less profitability of trade credit during a period of contraction and greater sensitivity of the buyer SMEs, emphasizing the idiosyncratic liquidity strategy of each firm. This study can be helpful to develop a strategy of profitable trade credit for SMEs and to establish a policy of managing liquidity for the authority.

This paper examines the impact of mergers on the financial performance of the Jordanian banking sector. This paper applies the financial approaches in analysing the effects of mergers on Jordanian banks' performance for two the periods: four years pre-merger and four years' post-merger for the period from 2001 to 2009. The sample of the study solely contains the case of the merger of the Jordan Ahli Bank (AHLI bank) with Philadelphia Bank in 2005. Data are tested for normality using the Shapiro-Wilk Test and Kolmogorov Smirnov test. The financial ratios and a statistical technique as a Mann-Whitney U test were used to assess the significant differences in the financial performance of the selected banks pre- and post-merger by investigating the performance-related financial ratio groups that are expressed by leverage, liquidity, efficiency, and cash flow ratio. The results show that there is an insignificant improvement in the ratios of AHLI bank in the period after the merger, except for the superior result provided by this study indicating that the leverage ratios improved significantly. The reason for the insignificant improvement in financial ratios may be that the post-merger period corresponds to the period of the global financial crisis that began in 2007.

This paper examines whether lending structure can lower credit risk by employing econometric techniques of panel data for the Vietnamese banking system at the bank level used by economic sectors from 2011 to 2016. New light is being shed on assessing the impact of each industry's debt outstanding on credit risk. Adopting findings from previous studies, we assess credit risk from two different sources, including loan loss provision and non-performing loan. Moreover, we also focus on observing lending structure in many different aspects, from concentrative levels to the short-term and long-term stability levels of lending structure. The Generalized Method of Moments (GMM) estimator was applied to analyze the relationship between concentration and banking risks. In general, the results show that lending concentration may decrease credit risk. It is interesting to observe that the Vietnamese commercial bank lending portfolios have, on average, higher levels of diversity across different sectors. In particular, the increase in hotel and restaurant lending contributes to decrease credit risk while the lending portfolios of banks in agriculture, electricity, gas and water increase credit risk. This study suggests the need for further analysis and research about portfolio risks in lending activities for maintaining efficiency and stability in the commercial banking system.

Existing studies disagree over the core predictors of firm-level financial choices in developing countries. The general practice only validates the traditional capital structure model, which leads to inconsistency and a lack of novelty. This study removed overfitting issues among existing factors and presented the most reliable and advanced capital structure model in Pakistani firms. The panel data include 368 Pakistani companies from 19 non-financial sectors over the period 2004 to 2017. We apply Akaike and Bayesian Information Criteria to remove overfitting issues among inconsistent proxies in the capital structure model. The fixed effects regression is used for basic results and the Generalized Method of Moments is applied to control the endogeneity. Besides the conventional proxies, we report that credit rating, distance from bankruptcy, managerial concentration, and institutional quality are the most advanced capital structure determinants in Pakistan. These predictors remain significant across firm size and growth levels. Also, the findings confirm that new predictors are reliable to define capital structure dynamics and improve the speed of adjustment in overall and sub-sample analysis. The major findings suggest that managers and policymakers should consider these advanced predictors to design their financial settings in firms.

In peer-to-peer (P2P) loan markets, as most lenders are unskilled and inexperienced ordinary individuals, it is important to know the characteristics of borrowers that significantly impact their repayment performance. This study investigates the effects and importance of borrowers' past repayment performance track record within the platform to identify its predictive power. To this end, I analyze the detailed loan repayment data from two leading P2P lending platforms in Korea using a Cox proportional hazard, multiple linear regression, and logit models. Furthermore, the predictive power of the factors proxied by borrowers' track records are evaluated through the receiver operating characteristic (ROC) curves. As a result, it is found that the borrowers' past track record within the platform have the most important impact on the repayment performance of their current loans. In addition, this study also reveals that the borrowers' track record is much more predictive of their repayment performance than any other factor. The findings of this study emphasize that individual lenders must take into account the quality of borrowers' past transaction history when making a funding decision, and that platform operators should actively share the borrowers' past records within the markets with lenders.

This study examines the effect of fintech on retail banks stock return listed in Indonesia Stock Exchange for the period of 2016-2018 as today's new technology lead to the emergence of fintech companies playing the same role as retail banks in the financial industry. This study is conducted quantitatively using monthly data from January 2016 to October 2018 and uses fintech as independent variable, proxied by fintech funding frequency and fintech funding value. Data transformation is conducted due to data volatility. The data of fintech funding, both frequency and value, is transformed into standardized fintech funding and growth of fintech funding. The data is obtained from Crunchbase, while the data of stock returns is obtained from Investing. This study further analyzes the data using Fama French Three-Factor Model and panel data regression. We found that fintech has no significant effect on retail banks' stock returns listed in Indonesia Stock Exchange for the period of 2016-2018. The findings of the study provide some useful insights in understanding fintech companies' current position to retail banks in Indonesia. This study also suggests banking institutions, fintech companies, policy-makers, and others to take advantageous steps in building inclusive financial sectors.

The study investigates and measures the impact of capital structure, profitability and financial performance on the success of the business organization. Capital structure of the business organization refers to the proportion of external funds and internal funds, i.e., debt and equity. In Saudi Arabia, petrochemicals companies are working on equity, but financial performance reflects negative trend for the period 2004 to 2016. The research is based upon secondary data available on the websites of petrochemicals companies of Saudi Arabia. Financial Ratio variability analysis and Trend Indices of financial ratios (TI_CBI) measure and compare the financial variability and sensitivity of financial ratios of the business organization. Correlation between Trend Indices (TI_CBI) of independent variable and dependent variables are to be calculated to know the impact of changes in debt equity on other dependent variables. The results reveal the unexpected performance of petrochemicals companies due to under-utilization of the resources caused by low demand and lower prices of the products governed by some internal and external factors. The study finds that size, demand, cost of production, profitable streams of products, and low cost capital in external funds are the factors responsible for overall growth development of the petrochemicals industry of Saudi Arabia.

Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.

The objective of this study is to examine the differentiated influence of sell-side advisors and buy-side advisors on mergers and acquisitions (M&A). Unlike prior studies on M&A advisors, the study addresses different roles of target and acquirer advisors, and explores their influences on the cumulative abnormal returns (CAR) and acquisition premiums with an empirical analysis of longitudinal data of M&As conducted by Japanese listed firms except financial companies from 1995 to 2012. M&A data were obtained from the Securities Data Corporation's (SDC) database, and the individual firm data were collected from the Nikkei Economic Electronic Databank System (NEEDS), which provides a wide range of corporate information including financial status, operational performance, and strategy. Using a sample of 452 cases for the CAR and 498 cases for the analysis of acquisition premiums, the empirical results support the hypotheses of the target advisor's positive association with CAR and acquirer advisor's positive association with acquisition premiums. The findings of this study indicate the target advisor's positive contribution to the success of acquisition process and performance, and acquirer advisor's negative influence on the deal progress. The study provides theoretical implications on M&A research and practical insights into the investment banking industry.

The research investigates the impact of the lockdown period caused by the COVID-19 to the stock market of India. The study examines the extent of the influence of the lockdown on the Indian stock market and whether the market reaction would be the same in pre- and post-lockdown period caused by COVID-19. Market Model Event study methodology is used. A sample of 31 companies listed on Bombay Stock Exchange (BSE) are selected at random for the purpose of the study. The sample period taken for the study is 35 days (24 February-17 April, 2020). An event window of 35 days was taken with 20 days prior to the event and 15 days during the event. The event (t1) being the official announcement of the lockdown. The results indicate that the market reacted positively with significantly positive Average Abnormal Returns during the present lockdown period, and investors anticipated the lockdown and reacted positively, whereas in the pre-lockdown period investors panicked and it was reflected in negative AAR. The study finds evidence of a positive AR around the present lockdown period and confirms that lockdown had a positive impact on the stock market performance of stocks till the situation improves in the Indian context.

This paper aims to explore the relationship between the quality of the audit and the level of stock return co-movement in the context of the Vietnamese emerging market. The empirical study is designed based on the quatitative method and deductive approach. The panel dataset includes 256 listed firms from different industries,with 1115 firm-year observations on Ho Chi Minh City Stock Exchange for the period from 2014 to 2018. In the research, we built the econometric regression model, using stock return synchronicity and audit quality as the dependent and independent variable, respectively. Some control variables are also added to the econometric regression models as they are well-documented in prior research to have an effect on stock price synchronicity. To improve the accuracy of the regression coefficients, beside the Ordinary Least Squares, we employ the Random Effects Model and the Fixed Effects Model for better statistical analysis of panel data set. The results show that the quality of the audit is positively correlated to stock price synchronicity. This finding suggests that stock returns of companies with higher quality of the audit are more synchronous with the market. Results for other control variables also support our reasoning for the main findings.

The purpose of this study was to investigate the impact of corporate governance index on the cost of equity in companies listed on the Tehran Stock Exchange. This study collects data from 975 observations during the period 2012 to 2018 to test the hypotheses using multiple linear regression model for the panel data. In this research, the independent variable of corporate governance index comprises of 27 specific corporate governance attributes. The results of hypothesis testing showed that corporate governance has a negative and significant effect on the rate of capital cost. In other words, the quality of corporate governance can lower the rate of capital cost. This result suggests that, by using a powerful corporate governance system and by declining the information asymmetry (increasing transparency) and agency conflict, we would be able to enhance the quality of financial reports. It would strengthen the capital market, attract financial suppliers and investors, and absorb the required financial resources of the firm by a lower rate. The findings of the study suggest that companies are able to reduce the cost of equity by establishing strong corporate governance. This conclusion suggests the importance and effectiveness of corporate governance in the cost of equity.

The study examines the impact of corporate social responsibility (CSR) activity on the firm market value, in particular, market capitalization of tour operators listed on Chinese stock markets. This study employs panel data analysis methods to examine endogeneity concerns in observational data. The balanced panel data includes a total of 1,296 observations with 27 cross-sections of tour operators listed on Chinese stock markets and with 48 time-specific periods from March 2006 to December 2017. The results indicate that CSR activity has a negative impact on the market value of the firm for the concurrent period, but from one-period time lag and afterwards CSR activity has a strong positive impact on the market value and sustains its positive impact on the market value even for a two-period time lag. The findings suggest that the economic effect of CSR activity on the firm market value tends to take some degree of lagged effects to be fully showcased in the market capitalization of tour operators and travel companies listed on Chinese stock markets. The findings suggest that, though CSR activity may carry some financial risk for an immediate short-term, tour operators must put a lot of time and effort into making CSR actions effective.

This study examines the current situation of responsibility accounting and proposed management solutions according to responsibility centers on public universities in Vietnam. The study applies quantitative research methods, and collected data through structured questionnaires to 138 public universities in Vietnam in 2019, receiving back 55 valid questionnaires. The data was cleaned and analyzed with SPSS software. The results show that most public universities in Vietnam assigned management responsibility to their departments, but responsibility accounting was not comprehensive since many universities are not financially autonomous. The Kruskal Wallis Test was conducted to compare the current situation of responsibility accounting among universities by the degree of autonomy and by geographic area. The research found out that totally autonomous universities assigned management responsibility to responsibility centers better than semi-autonomous and non-autonomous universities did. Regarding the evaluation of management responsibility, universities in Central Vietnam rated specific quantitative criteria, residual income (RI) and returns on investment (ROI) higher than universities in the North and the South of Vietnam did. However, universities in the South of Vietnam rated the evaluation of profits by department higher than the rest. The study also suggests structure for establishing responsibility centers in accordance with public universities in Vietnam.

This study examines the relationship between the effectiveness of an audit committee and the amount of audit fees. The sample consists of 130 manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2016-2017. Data are obtained from the IDX and company's annual reports. The effectiveness of an audit committee is measured by independent audit committee size, frequency of audit committee meetings, and expertise of the audit committee. Results show first that the size of the independent audit committee has a positive effect on audit fees. This finding suggests that an increase in the number of independent audit committee members produces a higher quality of reporting, and so they tend to choose a reputable public accountant. Second, the frequency of its meetings has positive effects on audit fees. It suggests that the more effective the supervision of the committee to improve audit quality, the higher the audit fees to be paid. However, this study fails to provide evidence that the expertise of the audit committee affects audit fees. The result of this study suggests that the audit committee tends to adopt the demand approach based on the reputation of the public accounting firm accountant firm in determining the amount of audit fees.

This study investigates the determinants of the likelihood of a tax re-audit in Korea. It adopts a researcher-administered questionnaire survey method for data collection. The survey questionnaire is randomly distributed to 1,120 individuals with tax-related knowledge and experience. Using a final sample of 342 responses, we conduct a cross-sectional regression analysis to test our hypotheses. The results show that the level of tax non-compliance significantly affects the likelihood of a tax re-audit. This finding suggests that the increase in re-audits in Korea is attributable to the tendency of the tax authority to conduct a re-audit to detect taxpayers' non-compliance behavior by excessively broadening the scope of re-audits. This study also finds that the level of tax non-compliance is influenced by the perception of procedural unfairness, measured by operational inconsistency and regulatory lack of clarity. Lastly, the results reveal that the level of tax non-compliance mediates the relationship between the perception of procedural unfairness and likelihood of a tax re-audit. This finding indicates that enhancing procedural fairness could fundamentally reduce unnecessary re-audits that infringe on the rights of taxpayers, as the likelihood of a tax re-audit is not solely determined by the level of tax non-compliance but also by perceived procedural fairness.

This study investigates the direct and indirect effects, mediated by audit committee quality, of managerial ownership, institutional ownership, and profitability on intellectual capital (IC) disclosure. The object observed of this study is companies listed on the Indonesia Stock Exchange (IDX) in the 2014-2018 period that are classified as high intellectual capital-intensive industries. Based on the sampling method, purposive sampling, 51 companies were selected as samples. This study used path analysis techniques with IBM SPSS version 25 to study the direct and indirect influences of managerial ownership, institutional ownership, and profitability toward IC disclosure. The results of this study show that managerial ownership, profitability and audit committee quality have a significant positive effect on IC disclosure whereas institutional ownership has significant negative effect on IC disclosure. This study also provides empirical evidence, supported by the sobel test, that the audit committee quality is able to mediate the effect of institutional ownership and profitability on IC disclosure. However, the audit committee quality is not able to mediate the effect of managerial ownership on IC disclosure. These findings develop and strengthen the results of prior studies related to the implementation of signaling theory and agency theory in devoting more understanding about IC disclosure.

Taxes are levied in almost every country, primarily to raise revenue for government expenditures. This study explores factors influencing tax compliance of small- and medium-sized enterprises (SMEs) in Vietnam. Data from 376 SMEs, who are business taxpayers, were collected through a researcher-administered questionnaire survey method. The results indicate that six groups of factors have significant impacts on tax compliance among Vietnamese SMEs. These groups include: Business characteristics (BC), Characteristics of accounting practices within organization (AP), Awareness of tax obligations (TO), Tax policy (TP), View on tax compliance (TC), and Probability of tax examination on taxpayer compliance (TE). Multivariate analysis was adopted; Cronbach's alpha coefficients were calculated, then, Exploratory Factor Analysis (EFA) was used. The findings show that, among these six factors, the most influential is Characteristics of accounting practices (AP). Thus, it is recommended that tax agencies should help SMEs improve their accounting skills and increase their knowledge by organizing training workshops and short courses on taxation. SMEs also need to have an adequate accounting system in accordance with principles and standards prescribed by the Tax Law. It is expected that this study can provide important insights and understandings to policy-makers, practitioners, academicians and other regulatory authorities in tax policy formulations.

The purpose of this research is to examines the effect of the audit offer and simultaneous tax services from auditors on the firm value of clients. To test this hypothesis, we used the samples of the auditors' tax services selected from firms listed on the securities markets of Korea. We use the methodology of regression analysis. The major findings are as follows. First, TAX_SER has a positive relationship with the firm value. The knowledge and experience resulting from the offer of audit services are applied to the process of offering tax services to enhance the professionalism of audit and tax services. Second, the analysis was performed to determine if the type of tax services from auditors and the type of listed markets make any difference in the effect of TAX_SER1 on TQ; the study has revealed that only tax adjustment has a positive effect on TQ in the type of tax services. Depending on the type of listed markets, TAX_SER1 has been found to have a differential effect on the firm value. The results show that investors might decide to invest in those firms where the auditor could increase the firm value through audit and tax services.

This article aims to measure the impact of economic growth and urbanization on poverty reduction in Vietnam, and verify whether economic growth and urbanization will help reduce poverty rates. Data for this study are tabular data related to growth, urbanization and poverty at the provincial level for the period of nine years, from 2006 to 2014 provided by the Vietnam General Statistics Office and the Vietnam General Department of Customs. The level of economic growth and urbanization mentioned in the study is reflected in such indicators as GDP value, exports value, imports value, urbanization rate and employment rate. The authors used logistic regression models with fixed-effects and logistic regression models with random effects. With 5% confidence level tested by the Chi-Square test of Hausman trial with the fixed-effect model, research results show that: (1) factors with significant negative impact on the poverty rate include imports value, urbanization rate and, employment rate; (2) factors that do not affect the poverty rate include exports value and GDP value. Based on the research results, this study proposes a number of policy recommendations to help promote economic growth, to sustain the urbanization process, and to contribute directly and positively to poverty reduction in Vietnam.

The role of money in the modern economy highly determines the intensity and the development of the macroeconomy. The money supply is assumed to be as much as money demand, which reflects the economic character of a country and indicates the growth and development of macroeconomy. In Indonesia, the money supply (M1) is related to the economic dynamics in either the monetary market or the goods market. This research aims at analyzing factors that influence the money supply and to what extent the economic factors affect the money supply in Indonesia. The analysis method used in this research was Vector Autoregressive (VAR) with some variables, such as money supply (M1), interest rate, and Gross Domestic Product (GDP) from the 1st quarter of 2001 until the 1st quarter of 2013. The data collection method was in the form of data compilation from credible sources, such as Bank of Indonesia (BI), Central Bureau of Statistics (CBS), and International Financial Statistics (IFS). To obtain adequate analysis results, several tests were taken, such as unit-root test, Granger causality test, and optimal lag. VAR analysis formulates the correlation among independent variables, so it also sees the study of impulse response and matrix decomposition.

The purpose of this paper is to investigate the impact of total factor productivity (TFP), institutional quality, and interactive variable between them on economic growth in 13 low-middle income countries in Asia for the period 2000-2018. The paper uses the difference Generalized Method of Moments (GMM) to explore the dataset provided by the World Bank. The empirical results show that TFP and the interactive variable positively impact on the economic growth, while the institutional determinants have a negative influence. The negative effect is explained by the weak institutions in these low-middle income countries. The findings of the study suggest two points. First, the government should continue to improve TFP, which is associated with the application of technical advances, technological innovations, improvement of management methods, and skilled workers. Second, far more important, is that the authorities should pay special attention to implement institutional reform and strengthen the governance in the future. The successful experiences from Japan, Korea and Singapore will help other governments in Asian low-middle income countries to build developmental state. Probably, the developmental state actively interfere in the market to promote and realize the development goals. By doing so, these economies might overcome the so-called "middle-income trap".

Bao Loc City is the new tourism destination in Lam Dong province, Vietnam, where more and more tourists have been drawn to pay a visit. This study aims to test the correlative impact of tourism service quality factors on satisfaction of the tourists who have visited Bao Loc City. The key theory used in this study is SERVQUAL scale. The survey sample consists of 350 tourists who stayed overnight in Bao Loc City in the last quarter of 2019; 315 valid survey questionnaires could be used for the analysis. The research applied Cronbach's Alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM), and bootstrap test. The results show that the satisfaction of the tourists who have visited Bao Loc City has been affected statistically by three factors: (1) Responsiveness; (2) Reliability; and (3) Empathy, which were ranked by descending importance. Surprisingly, the research found that Tangibles and Assurance do not have an impact on tourists' satisfaction towards Bao Loc City. The research formulates some suggestions to the city policy-makers and the tourism businesses management in Bao Loc City in order to enhance tourists' satisfaction through improving the tourism service quality at Bao Loc City.

This study aims to develop the concept of innovation models with the marketing channel construct approach, marketing innovation, product segmentation, and customer insight; as well as improvements to the theory of resource-based combined with the method of service-dominant logic. This study approach is based on quantitative descriptive conducted with three stages of testing scenarios. The first test is the mapping of the innovation model construct through testing the validity and reliability with the moderation of customer orientation variables. The second scenario examines the relationship of influence between the independent variables on the dependent variable of 29 hypothetical analysis equation modeling. The unit of analysis was conducted on 497 SMEs involved in the food and beverage sectors, with the criteria being SMEs must have a rating of 4-5 points on the Go-Food applications software. The results shown that: 1) the construct used to develop an innovative model both directly and via moderation is positive and significant; 2) Through a complicated relationship that involves all components of the variable, it outlines a positive and significant effect except for the path of analysis (μ5). The theoretical and managerial implications state that the service-dominant logic approach and resource-based view theory have extreme reliability and interrelations.

Capital mobilization is a traditional business of commercial banks and is one of the core foundations for the development of a bank. Capital mobilization is the main input in the operation of a bank, and this is also the basis for generating output for credit activities as well as other banking activities. This study aims to determine the main factors that affect the decisions of individual customers to put savings deposit in Vietnamese commercial banks. Survey data collected from 403 individual customers were analyzed to provide evidence. The results from the multiple regression analysis by using SPSS software revealed that all scales in this study were reliable, and there were six components impacting the savings deposit decision of individual customers from the strongest to the weakest in the following order: the form of promotion, bank brand, service quality, interest rate policy, and employee knowledge and attitude. Besides, the finding showed customers who have high income tend to have a stronger decision on savings deposits in commercial banks. The main findings of this article provide some empirical implications for marketers in banks and serve as a suggestion to improve these factors in order to retain and attract individual customers' savings deposit decisions.

Unlike previous studies of overconfidence bias that have been looking for causes of overconfidence bias in human cognitive error or in the desire to view oneself positively, this study presents the cognitive narrowing resulting from the social exclusion experience as the condition of overconfidence bias and investigates the mechanism of cognitive narrowing to overcome the negative emotions from social exclusion, and how overconfidence bias occur due to cognitive narrowing. Current study was performed with 94 undergraduate students. Participants were randomly assigned to social exclusion experience group or non-experience group. We analyzed how the degree of bias of overconfidence differs according to the social exclusion experience. The degree of overconfidence bias of the social exclusion experience group was higher than that of the non-experience group, and the difference was statistically significant. This study extends the concepts of escaping theory and cognitive narrowing to human cognitive bias and confirmed that social exclusion experience increased cognitive narrowing and overconfidence bias. Implications of this research and future research directions were discussed.

This paper aims to investigate the effect of the factors on the e-invoice at its infant stage of adoption in the context of Vietnam. Data were collected by using a questionnaire delivered to 318 participants who are managers and accountants of companies in Vietnam from June to September 2019. The statistical methods approaches are employed to address the research issues including Cronbach's Alpha testing, Explanatory Factor Analysis (EFA), and Confirmation Factor Analysis (CFA). Then, Structural Equation Modeling (SEM) is employed to assess the proposed hypotheses model of e-invoice adoption in Vietnam. The research findings showed that direct factors have a statistically significant impact on the e-invoice adoption towards behavior, and perceived behavioral control. Perceived usefulness and perceived ease-of-use positively affect attitude towards the behavior. These factors, in turn, are impacted by perceived compatibility. Based on the research results, some practicable suggestions are proposed in order to boost the number of Vietnamese enterprises voluntarily adopting e-invoice. This study indicates the important impacts of the user's attitude and perception about control ability on intention to use. In addition, some key intuitive recommendations were proposed aiming to improve the success of the e-invoice adoption of enterprises in the context of Vietnam.

The quality of hospital services remains a concern of both the manager and the patient. The study aims to identify factors affecting outpatient satisfaction at private general hospitals in Ho Chi Minh City, establishing a scale for measuring them. Some 450 outpatients who were treated in five top private hospitals in Ho Chi Minh city (HCMC) in 2019 - An Sinh General Hospital, Hoan My General Hospital, Columbia Asia International Hospital, FV Hospital, and Vu Anh International General Hospital - were interviewed directly in the last quarter of 2019 to obtain the information. The SERVPERF model, plus the cost, together with the SPSS software, have been used to process information by Cronbach's alpha analysis, Exploratory Factor analysis, and linear regression analysis. The results show that there are five factors influencing outpatient satisfaction at private general hospitals in HCMC, in which four factors affects positively in the order of decreasing importance: treatment outcome, doctors and nurses' professional capacity, facilities and environment of the hospital, hospital care, and the treatment time factor affects negatively. The results of the study provide private hospital in HCMC managers with a number of suggestions to increase the level of hospital service quality, so that increase outpatients satisfaction.

The study aims to examine the relationship between talent management and work engagement and its impact on nurses' performance in Indonesia. This study is also intended to understand the role of work engagement in moderating talent management and employee performance. This present study applied a quantitative method using path analysis to investigate the relationship between variables and the primary role of work engagement. The participants of the study were nurses both in privates and public hospitals in Indonesia, with a total of 376 respondents. Closed questionnaires were processed in this study with a Likert scale with five choices ranging from 1 (strongly disagree) to 5 (strongly agree). The questionnaires were entirely collected over almost five months using Google form. The results of the study confirmed that the nurse performance, both at government and private hospitals, are categorized as good, while the work engagement and talent management are also categorized as high. The findings confirmed that talent management positively influences work involvement and employee performance. In addition, this study suggests that work engagement plays an essential role in moderating between variables and provides a confirmation of the important role of talent management and work engagement for nurses' performance.

So far, research into multinational bank' overseas expansion has focused on foreign direct investment in the financial services industry. However, this study focused its existing theories on multinational banks on decision-making related to the type of overseas advancement of local financial institutions. For research, four environmental factors were considered: the scale of foreign direct investment, the scope of financial services that can be provided according to the rules of the host country, the corporate tax rate of the host country, and the level of development of the host country's banking industry. Through Kotra, data on the total amount of claims from 2010 to 2014 and the regulatory status for the country's financial industries were obtained. Hypothesis are built around theories and survey factors and has been demonstrated through regression analysis. Results show that Korean financial institutions tend to expand as legally independent subsidiaries where the corporate tax rate of the host country is relatively low. Contrary to the previous studies based on the U.S. banking corporates, results show that Korean banks tend to expand in forms of branches to the host countries with high level of banking system development.

The study aims to empirically examine the determinants of bank margins from Pakistan, an emerging South Asian economy. To elucidate the importance of the Pakistani banking sector, secondary data has been used, which was extracted from the annual accounts of twenty-four Pakistani scheduled commercial banks (20 conventional, four full-fledged Islamic) over a sample period of 2006 to 2017. The factors identified in the dealership model and the subsequent empirical developments in the dealership model categorized as bank-specific, diversification, regulatory, and industry concentration are analyzed by applying the most-common linear dynamic panel-data estimator, the Generalized Method of Moments (GMM) estimator, developed by Arellano and Bond (1991). The findings reveal that, among the bank-specific variables, funding cost, credit risk, managerial efficiency, market share, and operating cost are significant predictors of bank margins. For diversification variables employed in the study, both variables including net non-interest income and asset diversity are as well significant predictors of bank margins. It is also found that the market concentration variable proxied by the Herfindahl-Hirschman Index (HHI) is significantly predicting bank margins. Subsequently, one of the regulatory variables, the opportunity cost of holding reserves, and one bank-specific variable, the degree of risk aversion, are insignificant in the model.

Researching the influence and role of CEO overconfidence to dividend policy is important for stock market investors. Therefore, this study was conducted to find out the relationship between CEO overconfidence and dividend policy in industrial enterprises in Vietnam. Data collected from 222 industry enterprises listed on the Vietnam Stock Exchange from 2012 to 2018. Data is collected on financial statements of listed companies. GLS model with panel data is used to analyze regression results. The results show that CEO overconfidence has dividend yield higher than CEO non-overconfidence. At the same time, the dividend payout ratio of enterprises has no difference between CEO overconfidence and CEO non-overconfidence. The results also showed that revenue growth has a positive impact on dividend yield in small enterprises, but negative impact on dividend payout in large enterprises. Research results by firm size have similar results with the general analysis for all enterprises. At the same time, the analysis of ownership type shows that CEO overconfidence has a positive impact on dividend yield of non-state enterprises without affecting other types of enterprises. From these results, the authors also made a number of recommendations to help investors choose businesses to invest in accordance with their strategies.

The paper aims to identify the determinants that influence entrepreneurial intention among National Economics University graduates. For the sample size, we conducted a questionnaire survey of 250 full-time third-year undergraduates at the National Economics University, with convenience sampling technique. Of those 250 undergraduates, 150 were Business Administration students and 100 Economy Management students. After eliminating invalid responses due to lack of information or low quality information, 215 responses were used (93.07% of respondents) for data analysis. The results show that the factor "Perceived desirability" has the strongest impact on the intention to start a business. It is followed by the factor "Perceived feasibility" in which the "ability to search and plan for start-up" has a stronger influence on undergraduates' entrepreneurial intention than the "leadership and ability to overcome adversity". The hypothesis of a positive relationship between undergraduates' propensity to act and their intention to start a business is also supported in this study. Based on the results, we suggest some recommendations for the university and State management agencies to nurture and develop entrepreneurial intention of undergraduates, forming the young generation of potential entrepreneurs to contribute to the development of emerging countries such as Vietnam, the case study.

This study aims to get empirical evidence about the influence of budgetary participation and understanding of the accounting system on the performance of local government apparatus with organizational commitment as an intervening variable. The population in this study was structural apparatuses in the Regional Apparatus Organization (OPD) of Sleman Regency, Indonesia, which included offices and agencies with a total of 25 OPDs. 125 people were selected as sample by using purposive sampling based on specific criteria. Data were analyzed based on multiple regression and path analysis (Analysis Path) utilizing the SPSS program. The results of this study indicated that budgetary participation had no positive influence on organizational commitment; understanding of the accounting system had a positive effect on organizational commitment; organizational commitment did not have a positive effect on the performance of local government apparatuses; budgetary participation did not impact positively on the local government apparatuses performance; understanding of the accounting system positively effected the performance of local government apparatuses; participation in budgeting did not have a positive effect on the local government apparatuses performance through organizational commitment; while understanding the accounting system had a positive impact on the local government apparatuses performance through organizational commitment.

The objective of this study is to prioritize the Total Quality Management (TQM) factors based on fuzzy Analytical Hierarchy Process (AHP) method in Vietnamese supporting industries. Through an in-depth literature review, eight criteria were identified. These criteria were then divided into 32 sub-criteria. The fuzzy AHP is used to determine the percent weightings of eight categories of performance criteria that were identified via a review of the quality-management literature. These criteria include management commitment, role of the quality department, training and education, continuous improvement, quality policies, quality data and reporting, communication to improve quality, and customer satisfaction orientation. An empirical analysis of the criteria of each stage using the fuzzy AHP methodology and the expert opinion of quality management are used to evaluate the percent weightings of the criteria and sub-criteria that are synonymous with TQM implementation. The results showed that management commitment is the most critical factor; among sub-criteria, supports and responsibilities of top management is the most important. The study also identified the rank order of critical success factors of TQM. The findings suggest a generic hierarchy model for organizations to prioritize the critical factors and formulate strategies for implementing TQM in supporting industries, as well as other industries in Vietnam.

The main purpose of this paper is to explore how green supply chain management (GSCM) and its evaluative factors have affected green supply chain management practice and performance in industrial zone. This study proposes a structural equation model of the relationships among four factors: internal awareness (IA); suppliers' pressure (SP); customers' awareness (CA); and regulations pressure (RP) and their effect on GSCM practice (PA) and GSCM performance (PE). We used a survey questionnaire to elicit perceptions/opinions about GSCM from three level of managers of 322 companies in Bac Ninh Province's industrial zones, Vietnam. PLS-SEM 3.0 software was applied to analyze and verify the gathered data, and the proposed hypothesis model. The results of path analysis show that internal awareness and customers' awareness are positively related to the GSCM practice and GSCM performance. However, suppliers' pressure and regulations pressure just impacted on GSCM practice. As a result, the testing of the relationship between GSCM practice and GSCM performance has been verified and supported. The findings of this study can help manager of companies in industrial zone understand the structure of GSCM, associate with the green supply chain management practice and green supply chain management performance, and be successful in green management organizations.

This study examines the direct effect of workforce restructuring on the withdrawal behavior and mediating effect of perceived job insecurity. Empirically it also explores the moderating effect of career plateau and procedural justice on the above relationship. The study focuses on the mediating role of job insecurity and the moderating role of career plateau in relations to procedural justice, which will concentrate on the relationship between workforce restructuring and withdrawal behavior. For the empirical study, we collected and analyzed 442 survey data from employees of Korean companies. SPSS 24 is used for reliability, correlation and regression analysis. The results of the empirical analysis are as follows. First, perceived job insecurity mediated the relationship between workforce restructuring and withdrawal behavior. Second, content career plateau had a negative moderating effect on the relationship between workforce restructuring and job insecurity. Finally, the moderating effect of procedural justice was not supported. This research extend workforce restructuring and career plateau related studies; by exploring the mediating variable and moderating variable on the relationship between workforce restructuring and the pertaining outcomes. Based on the results, we provide theoretical and practical implications along with future research recommendations.

The study investigates the factors influencing the innovation activities in the enterprises in the Binh Dinh Province, Vietnam. By employing the dataset from a survey in 200 typical enterprises in Binh Dinh and using the Exploratory Factor Analysis and regression analysis, we found that there are eight factor groups affecting the innovation activities of enterprises. They include management of innovation promotion; market research capacity; leadership inspiring innovation; culture of innovation; human resources for implementing innovation; network connection; disseminating/sharing knowledge; and impact of producing/serving technology. All these factors strongly affect the innovation activities, which plays an important role in promoting the sustainable development of the Vietnamese enterprises, with the statistical significance level at 1%. Moreover, findings also show that, among these factors, the market research capacity is the strongest determinant of the innovation activity in the enterprise. An increase of 1 point of capacity of market research will increase the innovation activities in the enterprise by 0.114 point. It is followed by the management of promoting innovation, leadership inspiring innovation, and disseminating and sharing knowledge, with 0.104, 0.103 and 0.102 score, respectively. On the other hand, network connection is the weakest factor, with the score of 0.07 point.

This study focused on researching the factors affecting retail banking efficiency of Vietcombank branches in the Mekong-Delta region. By collecting data from financial statements from 15 branches of VCB in the Mekong-Delta Region between 2015 and 2018, the paper applies DEA estimation to measure the effectiveness of retail banking activities and uses the Tobit regression model to identify factors affecting retail banking efficiency. The results demonstrate that the retail banking efficiency of branches averaged 52.5% during the period. The rating result shows the branches in An Giang, Can Tho, Dong Thap, Kien Giang, Long An, Phu Quoc and Tra Noc rank at the top technical efficiency. In group of medium efficiency, there are branches in Soc Trang, Tien Giang and Vinh Long. In the category of the poor efficiency are the branches in Bac Lieu, Ben Tre, Ca Mau, Chau Doc and Tra Vinh. The results also show that bank scale-related factors, capital adequacy, credit quality, time specific and region impact significantly the retail banking efficiency. The research not, only contributes to enriching the empirical research method but also is significant for the management activities in business developing strategies, improving the operational efficiency of Vietcombank in the region.

The research postulates the conceptualization of talent in the Vietnamese banking sector via examining the factors pertaining to the concept of talent and talent management (TM) in the sector. This study applied qualitative research methods. A total of 20 managers and directors of ten banks (three public, four private and three foreign banks) were recruited for semi-structured interviews. The findings revealed that a combination of interconnected soft skills, learning ability, flexibility, technology adaptability, integrity and risk management skills contributes to talent identification. Managers in some private banks construed talent to be commensurate with high performance and high potential, whereas managers in public banks and foreign banks mainly relied on performance results in talent recognition. Moreover, talented employees holding sales-related jobs are given the most attention by management in the studied banks. Regarding practical implications, the banking community and practitioners' focus should be imparted to soft skills development and integrity control in order to foster employee performance and attitudes. Attention should be paid not only to sales positions, but also to other positions within the bank. This study is one of a few which explores talent concepts and TM approaches in the banking sector in general and Vietnamese banking field in particular.

This study aims to investigate the impact of COVID-19 pandemic on the stock markets of sixteen countries. Pooled OLS regression, conventional t-test and Mann-Whitney test are used to estimate the results of the study. We construct a weekly panel data of COVID-19 new cases and stock returns. Pooled OLS estimation result shows that the growth rate of weekly new cases of COVID-19 negatively predicts the return in stock market. Next, the returns on leading stock indices of these countries during the COVID-19 outbreak period are compared with returns during the non-COVID period. We use a t-test and Mann-Whitney test to compare the returns. The results reveal that investors in these countries do not react to the media news of COVID-19 at the early stage of the pandemic. However, once the human-to-human transmissibility had been confirmed, all of the stock market indices negatively reacted to the news in the short- and long-event window. Interestingly, we noticed that the Shanghai Composite Index, which was severely affected during the short-event window, bounced back during the long-event window. This indicates that the Chinese government's drastic measures to contain the spread of the pandemic regained the confidence of investors in the Shanghai Stock Market.

The paper aims to facilitate a discussion around how big data technologies and data from citizens can be used to help public administration, society, and policy-making to improve community's lives. This paper discusses opportunities and challenges of big data strategies for government, society, and policy-making. It employs the presentation of numerous practical examples from different parts of the world, where public-service delivery has seen transformation and where initiatives have been taken forward that have revolutionized the way governments at different levels engage with the citizens, and how governments and civil society have adopted evidence-driven policy-making through innovative and efficient use of big data analytics. The examples include the governments of the United States, China, the United Kingdom, and India, and different levels of government agencies in the public services of fraud detection, financial market analysis, healthcare and public health, government oversight, education, crime fighting, environmental protection, energy exploration, agriculture, weather forecasting, and ecosystem management. The examples also include smart cities in Korea, China, Japan, India, Canada, Singapore, the United Kingdom, and the European Union. This paper makes some recommendations about how big data strategies transform the government and public services to become more citizen-centric, responsive, accountable and transparent.

Income inequality is a problem that is not only faced by developing countries such as Indonesia, but also developed countries. The difference lies in the proportion of an inequality that occurs and the solution to the level of difficulty experienced. Thus, this study aims to empirically analyze the unequal distribution of population income in Java island, Indonesia, by including the human development index, open unemployment rate, foreign investment, and the degree of fiscal decentralization. The research model used in this study was multiple linear regression to analyze the panel data with a fixed-effect model approach. The results of the study showed that human development index, open unemployment rate, and the degree of fiscal decentralization had a positive and significant effect on income inequality in Java island. Meanwhile, foreign investment had a negative and insignificant effect on income inequality in Java. It is because the value of the investment is more invested in the capital-intensive sector. The government is expected to be more selective in accepting foreign investments that enter the country, especially in Java, and it should be labor-intensive investments. In addition, the government has to equalize locations for foreign investment without reducing good cooperation with these foreign investors.

Using primary data collected through semi-structured interviews conducted during February 2019, this article examines citizen's awareness and knowledge of Khon Kaen Smart City (KKSC) among the residents of five contiguous municipalities within Khon Kaen Province, Thailand. A self-weighted sample of 420 respondents was selected through a two-stage, 30-cluster sampling process. In the first stage, a sample of 30 artificial clusters of 100 households each was selected. In the second, 14 households were randomly selected from each of these clusters. The head of household or, if unavailable, a resident aged 18 or over was interviewed. The study applies the "citizens as democratic participants" dimension of Simonofski et al.'s (2019) evaluative framework. Results found that, because of ineffective citizen engagement, the levels of awareness and knowledge about KKSC were low. However, multiple logistic regression found that, despite the low levels of awareness and knowledge, education and income could establish an independent effect on awareness of KKSC. Those who completed post-secondary school were more aware of KKSC than those who finished only secondary or primary education. Similarly, the analysis of data clearly indicated that educational attainment, solely and independently from all other socio-economic and demographic variables, could explain the positive effect of education on knowledge about KKSC.

The study seeks to understand the effects of boredom proneness on impulse purchasing and smartphone addiction of young consumers. Moreover, the possible mediating role of smartphone addiction is tested for the effect of boredom proneness on impulse purchasing. Nowadays, the effect of emotions on human behavior is generally accepted, and boredom is one of the important and common problematic feelings or moods at various levels of life due to factors like unemployment, not being able to work in a suitable job, not getting appropriate education matching individual abilities, monotony of tasks, and feeling life is meaningless. Investigating the effect of boredom on specific consumer behavior would increase our knowledge about consumer behavior. For the research, a survey was conducted 313 students from Kirikkale University, Keskin Vocational High School; the data were collected by convenience sampling method. The data were processed through statistical tools like exploratory factor analysis, coefficient alphas, and regression analysis. The results of the study reveal that boredom proneness affects impulse purchasing and smartphone addiction. In addition, it is understood that smartphone addiction plays a mediating role in the effect of boredom proneness on impulse purchasing. These results indicate that boredom can be an important factor affecting certain negative consumer behaviors.

Livelihood capitals have a clear influence on livelihood development. As for the livelihood results, it has been pointed out in the analysis of the poor households that the ability of people to escape poverty depends especially on the access to livelihood capitals. This study aims to analyze the impacts of livelihood capital on poverty among mountain people who depend on forests through human capital, social capital, natural capital, physical capital and financial capital. This research employs the model of binary regression function. Independent variables x1, x2, …, xn are targets of livelihood strategy, vulnerability context, and livelihood capitals. These variables were selected to be included in the original model with dependent variable Y as poor and non-poor households. This study surveys households living in upland areas, near forests, and households of ethnic minorities. The results show that,out of the poor household rate, nearly 4% are newly-poor households or those falling back into poverty. Therefore, the government needs to pay more attention to this disadvantaged group and implements policies such as education and training policies, credit support policies, policies to support forest development, and payment for forest environmental services in the context of emerging countries like Vietnam.

The purpose of the study is a theoretical and practical justification for building a mechanism for financing health facilities based on public-private partnerships from a pension fund in regions with environmental problems. The theoretical background is built on works of local and foreign authors on state and non-state pension provisions issues, pension funds' assets management. This study provides an analysis of the health status of the population of the Kyzylorda region; it analyzes also the worldwide and Kazakhstan practice of investing pension funds and implementing projects. There has been legislative and methodological framework for financing health projects based on public-private partnerships in Kazakhstan. The scientific methods considered in this study made it possible to develop a mechanism for financial support for the modernization of a healthcare facility using the budget of pension funds. The authors point out possible risks in the implementation of projects in the field of healthcare and make recommendations on the construction a mechanism for financing healthcare facilities in the regions of Kazakhstan with environmental problems. In addition, they underline the key insights of the analysis, which are requisites for identifying the profitability of project for business and social effects for the public. Factors influencing efficacy, effect and implementation risks identified.

The purpose of this study is to analyze the effects of subjective class consciousness on life satisfaction. This research aimed to not only analyze the relative explanatory power, but also the influence of satisfaction of life within the socioeconomic status where the elderly consider themselves to be an integral part. The elderly's satisfaction in life was analyzed in comparison with demographic characteristics such as gender and age. The correlations of objective socioeconomic characteristics such as income level and education level were also observed. For this purpose, the Korea Labor Panel 17th data (2014) was used to conduct a one-way batch distribution analysis and a hierarchical regression analysis. It was seen that there was a correlation in the Korean elderly in terms of class consciousness and life satisfaction. The elderly with a lower subjective class consciousness showed lower life satisfaction. The relative influences were stronger than the demographic and socioeconomic characteristics of the elderly, and the explanatory power was much higher than the objective income levels. These results show that the subjective perception of their socioeconomic status has a significant influence on the level of life satisfaction of the Korean elderly, independent of the objective income level.

The study seeks to investigate the relationship between knowledge sharing and innovation in garment and textile enterprises. While previous research has found many factors influencing knowledge sharing, little research has been done about the influence of knowledge sharing on innovation in enterprises in developing countries like Vietnam. In particular, the textile industry plays an important role in export, but outsourcing is accounting for a high proportion of trade; it is necessary to increase innovation in order to increase the competitive advantage by internal capacity. The data is collected from a survey of 245 employees at 20 textile and garment enterprises in Vietnam to study the knowledge sharing influence on innovation. The methodology includes pilot study and quantitative method. The pilot study tests the questionnaire on the respondents. The quantitative method applies SEM analysis to measure the knowledge sharing influence on innovation. The results identify eight factors that positively impact knowledge sharing: rewarding, teamwork, management support, joy of knowledge sharing, communication, trust, commitment, and information technology. This study also shows that knowledge sharing affects innovation. The main findings are discussed for textile and garment enterprises to apply innovative capacity in the context of increasing global integration.

This study aims to analyze the digital performance of Kazakhstan through dynamic analysis of national statistics and international indices as Global Innovation Index and ICT Development Index. The research combines three stages: analysis of digital transformation policies performance, review of ICT industry development, and comparative analysis of the positions of Kazakhstan, Turkey and South Korea as a benchmark in the international indices. This research findings show that despite great efforts of Kazakhstan in digitalization, the ICT industry contribution does not increase, it even falls. The international indices demonstrate that the reason is the weakness of the country in skills, venture capital, and innovation linkages. This leads to low knowledge, technology outputs, and creative outputs. The enablers of digital and overall innovation advancement of economy are identified. According to the international rankings the country has been doing its best in Access and Use areas. Another enablers are good business environment, ease of starting a business, protecting minority investors, and FDI inflows. The findings help to draw recommendations for strategic directions in order to improve the digital performance in Kazakhstan. The main limitation of this study is a lack of dynamic information on positions of Kazakhstan in other international indices related to digitalization.

The paper seeks to explore the role of green finance in achieving sustainable development goals through the case of China, and address some issues of sustainable finance and environmental, social and governance concerns of green finance by introducing the episodes of green finance in China. This paper aims to provide some viewpoints about the following questions: 1) What are the latest trends in green finance? 2) What are the main challenges to the development of green finance? 3) What are policy recommendations for the development of green finance? 4) What are the roles of both the public and private sectors in promoting green finance? This paper identifies the mainstream to sustainable bonds, diversification of green finance, transition of corporates' business models, transparency and disclosure, and harmonizing taxonomy and measurement of green finance for the emerging trends of green finance. As the results, this paper recommends some policy measures for the private sector such as greening the banking system, greening the bond market, and greening institutional investors. This paper also suggests some policy initiatives for the public sector such as developing policies and capacity, promoting market transparency and governance, and promoting private-public partnership for diversifying resources of green finance.