• Industry Promotion Research
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• v.5 no.3
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• pp.31-36
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• 2020

This study explores the determinants of capital structure of the hospitality industry such as hotels, lodging industry and tourism industry using financial data from 2000 to 2019. Several explanatory variables suggested by related theories and past studies were regressed with the dependent variable, debt ratio for the entire sample period, pre-crisis period and post-crisis period and the regression coefficients of the sales expenses, profitability and firm size were found to be statistically significantly negative. Especially the sign of the coefficient of the firm size was opposite to that of the manufacturing industry, which implies the uniqueness of the hospitality industry.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.73-84
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• 2020

The paper investigates the effect of the factors on the disclosure of sustainable development information of enterprises. The research sample includes 120 manufacturing companies listed on Vietnam stock market in 2019. This research uses ordinary least squares (OLS) to address econometric issues and to improve the accuracy of the regression coefficients. The empirical results show that five variables have a statistically significant positive effect on disclosure of sustainable development information of manufacturing companies, including firm size (SIZE), independence of board of directors (BOD), foreign ownership (FRO), return on equity (ROE), and financial leverage (LEV). The results indicate that state ownership (STO) has a statistically significant negative effect on disclosure of sustainable development information of manufacturing companies listed on Vietnam stock market. Besides, the research results also show there is a large difference in the disclosure of sustainable development information between listed companies in Vietnam, those of other emerging economies in the region, and the companies in developed markets. Therefore, this paper provides a new insight to managers and related parties on how to improve the firm's sustainability disclosure to bring benefit for the firm itself and the stakeholders by reasonable decisions about the factors that affect disclosure of sustainable development information.

• Journal of Korea Technology Innovation Society
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• v.13 no.1
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• pp.124-139
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• 2010

This study analyzes determinants of innovation in Korea manufacturing industries from 2005 to 2007. In order to do this, we use raw data from 'Korea Innovation Survey 2008: Manufacturing Sector' conducted by STEPI, and also collect financial statement data from Korea Investors Service. As an analytical method for the empirical test, we utilize Probit model. Empirical results show that firm size and market concentration have positive relationship with firm's innovation activities. These support the ‘Schumpeterian hypothesis’. This would be the most distinguished feature of this study compared to previous literatures.Our study also shows that R&D personnel ratio, R&D intensity, and advertising intensity have positive effects on firms' innovation. Thus, we can say that R&D activities and consumer orientation are the main determinants of innovation. However, profit ratio and growth rate do not have any statistically significant effect on firms' innovation.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.4
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• pp.25-37
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• 2016

This study aims to investigate the determinants of dividend payout of Oil and Gas industry of Pakistan using secondary data from published annual reports from 2008 to 2014 listed on KSE (Karachi Stock Exchange). Dividend payout can be affected by profitability, firm size, financial leverage, sales growth, investment opportunities, liquidity, business risk, and ownership structure. Panel data technique used due to panel characteristics of available data with ordinary least square regression model to find out the impact of set of explanatory variables on the dividend payout using the Stata. Financial leverage, sales growth and business risks are the most significant variables of the study where financial leverage and business risk have significant negative effect on dividend payout while sales growth has favorable positive impact on dividend payout. Results revealed significant positive link of profitability and firm size with dividend payout whereas government ownership is negatively associated with dividend payout. Investment opportunities, liquidity and managerial ownership showed insignificant relationship with dividend payout. This Suggests that dividend payout policy is dependent on business strategies including both investment and financing decisions. Financial managers should consider these factors while formulating dividend policy of the firm.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.29-39
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• 2020

The purpose of this study is to investigate the determinants of blockholder presence in the Korean stock market. This study examines previous theories and studies, points that previous studies did not examine, and proposes two hypotheses. To verify two hypotheses, fundamental data were collected from firms listed on Korea Exchange from 2005 to 2017. As explanatory variables, we use the factors and characteristics of the firms used in the previous studies. Logistic regression analysis was conducted to test the determinants of blockholder presence. We find that firm size is the most distinctive factor determining the presence of blockholder, and firm idiosyncratic risk is the most similar factor determining the existence of each blockholder. Tobin Q shows significant value in family and government, and R&D intensity appears to be a negative related to the presence of blockholder in financial institutions. We also find that the determinant of blockholder presence differs from the mechanisms that govern each individual blockholder type when all blockholders grouped together. This suggests that there is blockholder heterogeneity within Korea listing firms. Our findings contribute to investors and policy makers who interested in the determinants of the presence of blockholder and blockhoder heterogeneity in Korea stock market.

• Journal of Technology Innovation
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• v.16 no.2
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• pp.41-63
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• 2008

Employing firm-level data during the period of 1980-2006, this paper analyzes the R&D efficiency of IT SMEs. We focus on comparing the R&D efficiency of IT SMEs with that of large-sized IT firms and non-IT SMEs. The results are summarized as follows. First, the R&D investment of IT SMEs has not been increased since 2000. In IT manufacturing industry, the portion of the R&D investment of IT SMEs is no more than 10.6% in 2005. Second, we analyze the innovation capacity of SMEs with the number of the patent application. The result is similar with the trend of R&D investment. The portion of the patent application of SMEs has not been increased since 2000. Third, the R&D efficiency of non-IT firms is higher than that of IT SMEs regardless of the firm size. The R&D efficiency of non-IT SMEs is over three times as large as that of IT SMEs. Meanwhile, The R&D efficiency of the large-sized non IT firms is 1.86 times as large as that of IT large-sized firms. Finally, we estimate the R&D elasticity and compare between IT manufacturing and service industry. The result shows that the R&D elasticity of IT service industry is higher than that of IT manufacturing industry, regardless of firm size.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.877-883
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• 2020

The purpose of the article is to evaluate the factors that affect the degree of environmental accounting information disclosure. Data are collected from 87 industry companies listed on the Vietnamese stock market from 2009 to 2019. I focus on the effect of factors such as the Firm size, Profitability, Leverage, Firm age, and Independent auditors. To explain the causal relationship between factors, I construct the regression model and then test it by using different statistical method approaches, including the pooled OLS, the fixed effects model, and the random effects model. Then I conduct testing of model defects: White Test, Wooldridge Test, Hausman Test, and Wald Test. The Feasible Generalized Least Squares (FGLS) method is used to analyze the image factors that affect environmental accounting information disclosure. The results show that the extent of environmental accounting information disclosure is influenced by factors: firm size, uptime and independent audit. These factors positively affect the level of environmental accounting information disclosure; independent audit has the greatest influence. Based on the research results, the author gives recommendations to improve the disclosure of environmental accounting information for industrial enterprises listed on the Vietnamese stock market, increasing the competitiveness of the public company in terms of global integration.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.531-541
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• 2020

This study aims to determine the nature of the association between dividend policy and a corporation's financial performance in emerging countries, as well as the main variables that may have an effect on financial performance. The study included 92 industrial and service sector companies listed on the Amman Stock Exchange (ASE) during the period from 2015 to 2019. The study used Panel Data Analysis and cross-sectional time-series data and simple and multiple linear regression models. A multiple regression model was also developed in order to test whether guess factors may have a possible impact on financial performance (such as Dividend Yield, Dividend Pay-out Ratio, Firm Size, Leverage Ratio, Current Ratio). The data was collected from the annual reports and information that was available on the ASE website covering the period from 2015 to 2019. The results detect a strong relation between DY, DPR, and FSIZE variables that explain firm performance. Also leverage ratio is negatively and significantly associated with ROA and AOE. Moreover, no relations were detected between current ratio and financial performance. The study's conclusion is that dividend policy explains a lot of a company's financial performance, meaning that the dividend policy has a statistically significant impact on company financial performance.

• Management & Information Systems Review
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• v.7
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• pp.265-292
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• 2001

This paper examines what determines the use of contingent workers in Korean Department Stores. Drawing on internal labor market, transaction cost & agency, and bureaucracy theories, I hypothesize that four factors affect the use of contingent workers: job characteristics, HRM, occupation, and organizational characteristics. Data from a sample of employers surveyed by the author in 1997 were used to test the hypotheses, and analyses showed the following results. First, consistent with job-based perspective, we find that such job characteristics as firm-specific skill and the level of skill significantly affect the use of contingent workers. But job standardization and outcome measurability have no effects of its use. Second, also we find significant effects on the use of contingent workers of such HRM as scrutiny on employee selection and promotion system. The promotion system has expected effect on its use, but scrutiny on employee selection has opposite effect. Third, we find that occupation significantly affects the use of contingent workers, especially the extent of use of contingent workers of sales service is as five hundred times as that of managerial occupation. Fourth, also consistent with organizational-based perspective, we find that the firm's size significantly has positive effects, and affiliate company and labor union have negative effects. That is, the larger firm's size is, the more possibility of use of contingent workers exists, and the possibilities of its use reduce in case of affiliate company and in front of labor union. Finally, we discuss the implications and limits of theses findings.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.185-197
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• 2015

As the uncertainty of demand in B2B electronics market has increased, firms need a strong method to estimate the market demand. An accurate prediction on the market demand is crucial for a firm not to overproduce or underproduce its goods, which would influence the performance of the firm. However, it is complicated to estimate the demand in a B2B market, particularly for the private sector, because firms are very diverse in terms of size, industry, and types of business. This study proposes both qualitative and quantitative demand forecasting approaches for B2B PC products. Four different measures for predicting PC products in B2B market with consideration of the different PC uses-personal work, common work, promotion, and welfare-are developed as the qualitative model's input variables. These measures are verified by survey data collected from experts in 139 firms, and can be applied when individual firms estimate the demand of PC goods in a B2B market. As the quantitative approach, the multiple regression model is proposed and it includes variables of region, type of industry, and size of the firm. The regression model can be applied when the aggregated demand for overall domestic PC market needs to be estimated.