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A Study on the Consumers' Inherent Characteristics Influencing on the Relationship Building Intention with the Salesperson: Relational Benefits as Mediating Variables (영업사원과의 관계구축 의도에 영향을 미치는 소비자의 내재적 특성에 관한 연구: 관계적 혜택을 매개변수로)

  • Park, Chanwook
    • Asia Marketing Journal
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    • v.11 no.3
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    • pp.31-56
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    • 2009
  • As the competition intensifies and the market matures, marketers are more and more concerned with the relationship marketing. Many of the previous researches have pointed out that not all of the consumers are relationship-oriented. But none of the previous research has systematically investigated this issue. This research investigated the relationship among the three concepts: consumers' intrinsic characteristics, perceived importance of relational benefits, and relationship building intention with the salesperson. In this research the perceived importance of relational benefits is treated as mediating variable in the relationship between consumers' intrinsic characteristics and relationship building intention with the salesperson. The conceptual model in this study can be depicted as follows. From the consumers' perspective relational benefits can be defined as "the additional benefits consumers can receive in addition to core services through the long-term relationship with the service provider." And in this study two kinds of relational benefits are adopted by reviewing the previous research: confidence benefits and social benefits. Relational benefit received from the salesperson is very important to predict consumers' relationship building intention with the salesperson. The more relational benefits consumer wants from the salesperson, the more relationship building intention he/she has. From this point two hypotheses are derived as follows. Hypothesis 1: As the perceived importance of confidence benefit from the salesperson increases, the relationship building intention with the salesperson increases. Hypothesis 2: As the perceived importance of social benefit from the salesperson increases, the relationship building intention with the salesperson increases. In this study four individual characteristics(risk taking tendency, variety-seeking tendency, product knowledge, trust orientation) are hypothesized to influence the perceived importance of confidence benefits from the salesperson. And three individual characteristics(interpersonal orientation, price consciousness, trust orientation) are hypothesized to influence the perceived importance of social benefits from the salesperson. These 7 hypotheses are as follows. Hypothesis 3: As the risk taking tendency increases, the perceived importance of confidence benefits from the salesperson decreases. Hypothesis 4: As the variety-seeking tendency increases, the perceived importance of confidence benefits from the salesperson decreases. Hypothesis 5: As the product knowledge increases, the perceived importance of confidence benefits from the salesperson decreases. Hypothesis 6: As the trust orientation increases, the perceived importance of confidence benefits from the salesperson increases. Hypothesis 7: As the interpersonal orientation increases, the perceived importance of social benefits from the salesperson increases. Hypothesis 8: As the price consciousness increases, the perceived importance of social benefits from the salesperson decreases. Hypothesis 9: As the trust orientation increases, the perceived importance of social benefits from the salesperson increases. The whole model in this study can be depicted as follows: Data were collected from the 396 consumers who actually trade stocks through the salesperson and were analyzed using structural equation model. The analysis results show that consumers' perceived importance of relational benefits(confidence benefit and social benefit) play the roles of mediating variables in the causal relationship between consumers' inherent characteristics and their relationship building intention with the salesperson. As for the individual characteristics, the influences of variety-seeking tendency, trust orientation, and price consciousness are statistically significant. It was found that variety-seeking tendency has a significant negative effect on the perceived importance of confidence benefit, and that trust orientation has a significant positive effect on the perceived importance of both of confidence and social benefit. Finally it was also found that, on the contrary to the influence direction suggested in the hypothesis, price consciousness has a significant positive effect on the perceived importance of social benefit.

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The Effects of Enterprise Value and Corporate Tax on Credit Evaluation Based on the Corporate Financial Ratio Analysis (기업 재무비율 분석을 토대로 기업가치 및 법인세가 신용평가에 미치는 영향)

  • Yoo, Joon-soo
    • Journal of Venture Innovation
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    • v.2 no.2
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    • pp.95-115
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    • 2019
  • In the context of today's business environment, not only is the nation or company's credit rating considered very important in our recent society, but it is also becoming important in international transactions. Likewise, at this point of time when the importance and reliability of credit evaluation are becoming important at home and abroad, this study analyzes financial ratios related to corporate profitability, safety, activity, financial growth, and profit growth to study the impact of financial indicators on enterprise value and corporate taxes on credit evaluation. To proceed with this, the financial ratio of 465 companies of KOSPI securities listed in 2017 was calculated and the impact of enterprise value and corporate taxes on credit evaluation was analyzed. Especially, this further study tried to derive a reliable and consistent conclusion by analyzing the financial data of KOSPI securities listed companies for eight years from 2011, which is the first year of K-IFRS introduction, to 2018. Research has shown that the significance levels among variables that show the profitability, safety, activity, financial growth, and profit growth of each financial ratio were significant at the 99% level, except for the profit growth. Validation of the research hypothesis found that while the profitability of KOSPI-listed companies significantly affects corporate value and income tax, indicators such as safety ratio and growth ratio do not significantly affect corporate value and income tax. Activity ratio resulted in significant effects on the value of enterprise value but not significant impacts on income taxes. In addition, it was found that the enterprise value has a significant effect on the company's credit and corporate income taxes, and that corporate income taxes also have a significant effect on the corporate credit evaluation, and this also shows that there is a mediating function of corporate tax. And as a result of further study, when looking at the financial ratio for eight years from 2011 to 2018, it was found that two variables, KARA and LTAX, are significant at a 1% significant level to KISC, whereas LEVE variables is not significant to KISC. The limitation of this study is that credit rating score and financial score cannot be said to be reliable indicators that investors in the capital market can normally obtain, compared to ranking criteria for corporate bonds or corporate bills directly related to capital procurement costs of enterprise. Above all, it is necessary to develop credit rating score and financial score reflecting financial indicators such as business cash flow or net assets market value and non-financial indicators such as industry growth potential or production efficiency.

A Study on the Choice of Export Payment Types by Applying the Characteristics of the New Trade & Logistics Environment (신(新)무역물류환경의 특성을 적용한 수출대금 결제유형 선택연구)

  • Chang-bong Kim;Dong-jun Lee
    • Korea Trade Review
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    • v.48 no.4
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    • pp.303-320
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    • 2023
  • Recently, import and export companies have been using T/T remittance and Surrender B/L more frequently than L/C when selecting the process and method of trade payment settlement. The new trade and logistics environment is thriving in the era of the Fourth Industrial Revolution (4IR). Document-based trade transactions are undergoing a digitalization as bills of lading or smart contracts are being developed. The purpose of this study is to verify whether exporters choose export payment types based on negotiating factors. In addition, we would like to discuss the application of the characteristics of the new trade and logistics environment. Data for analysis was collected through surveys. The collection method consisted of direct visits to the company, e-mail, fax, and online surveys. The survey distribution period is from February 1, 2023, to April 30, 2023. The questionnaire was distributed in 2,000 copies, and 447 copies were collected. The final 336 copies were used for analysis, excluding 111 copies that were deemed inappropriate for the purpose of this study. The results of the study are shown below. First, among the negotiating factors, the product differentiation of exporters did not significantly affect the selection of export payment types. Second, among the negotiating factors, the greater the purchasing advantage recognized by exporters, the higher the possibility of using the post-transfer method. In addition to analyzing the results, this study suggests that exporters should consider adopting new payment methods, such as blockchain technology-based bills of lading and trade finance platforms, to adapt to the characteristics of the evolving trade and logistics environment. Therefore, exporters should continue to show interest in initiatives aimed at digitizing trade documents as a response to the challenges posed by bills of lading. In future studies, it is necessary to address the lack of social awareness in Korea by conducting advanced research abroad.

Estimation of GARCH Models and Performance Analysis of Volatility Trading System using Support Vector Regression (Support Vector Regression을 이용한 GARCH 모형의 추정과 투자전략의 성과분석)

  • Kim, Sun Woong;Choi, Heung Sik
    • Journal of Intelligence and Information Systems
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    • v.23 no.2
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    • pp.107-122
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    • 2017
  • Volatility in the stock market returns is a measure of investment risk. It plays a central role in portfolio optimization, asset pricing and risk management as well as most theoretical financial models. Engle(1982) presented a pioneering paper on the stock market volatility that explains the time-variant characteristics embedded in the stock market return volatility. His model, Autoregressive Conditional Heteroscedasticity (ARCH), was generalized by Bollerslev(1986) as GARCH models. Empirical studies have shown that GARCH models describes well the fat-tailed return distributions and volatility clustering phenomenon appearing in stock prices. The parameters of the GARCH models are generally estimated by the maximum likelihood estimation (MLE) based on the standard normal density. But, since 1987 Black Monday, the stock market prices have become very complex and shown a lot of noisy terms. Recent studies start to apply artificial intelligent approach in estimating the GARCH parameters as a substitute for the MLE. The paper presents SVR-based GARCH process and compares with MLE-based GARCH process to estimate the parameters of GARCH models which are known to well forecast stock market volatility. Kernel functions used in SVR estimation process are linear, polynomial and radial. We analyzed the suggested models with KOSPI 200 Index. This index is constituted by 200 blue chip stocks listed in the Korea Exchange. We sampled KOSPI 200 daily closing values from 2010 to 2015. Sample observations are 1487 days. We used 1187 days to train the suggested GARCH models and the remaining 300 days were used as testing data. First, symmetric and asymmetric GARCH models are estimated by MLE. We forecasted KOSPI 200 Index return volatility and the statistical metric MSE shows better results for the asymmetric GARCH models such as E-GARCH or GJR-GARCH. This is consistent with the documented non-normal return distribution characteristics with fat-tail and leptokurtosis. Compared with MLE estimation process, SVR-based GARCH models outperform the MLE methodology in KOSPI 200 Index return volatility forecasting. Polynomial kernel function shows exceptionally lower forecasting accuracy. We suggested Intelligent Volatility Trading System (IVTS) that utilizes the forecasted volatility results. IVTS entry rules are as follows. If forecasted tomorrow volatility will increase then buy volatility today. If forecasted tomorrow volatility will decrease then sell volatility today. If forecasted volatility direction does not change we hold the existing buy or sell positions. IVTS is assumed to buy and sell historical volatility values. This is somewhat unreal because we cannot trade historical volatility values themselves. But our simulation results are meaningful since the Korea Exchange introduced volatility futures contract that traders can trade since November 2014. The trading systems with SVR-based GARCH models show higher returns than MLE-based GARCH in the testing period. And trading profitable percentages of MLE-based GARCH IVTS models range from 47.5% to 50.0%, trading profitable percentages of SVR-based GARCH IVTS models range from 51.8% to 59.7%. MLE-based symmetric S-GARCH shows +150.2% return and SVR-based symmetric S-GARCH shows +526.4% return. MLE-based asymmetric E-GARCH shows -72% return and SVR-based asymmetric E-GARCH shows +245.6% return. MLE-based asymmetric GJR-GARCH shows -98.7% return and SVR-based asymmetric GJR-GARCH shows +126.3% return. Linear kernel function shows higher trading returns than radial kernel function. Best performance of SVR-based IVTS is +526.4% and that of MLE-based IVTS is +150.2%. SVR-based GARCH IVTS shows higher trading frequency. This study has some limitations. Our models are solely based on SVR. Other artificial intelligence models are needed to search for better performance. We do not consider costs incurred in the trading process including brokerage commissions and slippage costs. IVTS trading performance is unreal since we use historical volatility values as trading objects. The exact forecasting of stock market volatility is essential in the real trading as well as asset pricing models. Further studies on other machine learning-based GARCH models can give better information for the stock market investors.

The Effect of Working Capital Management on Corporate Performance (운전자본관리가 기업성과에 미치는 영향)

  • Kam, Hyung Kyu;Shin, Yong Jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.173-180
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    • 2016
  • This study examines the effect of firms' working capital management on their performance for a sample of non-financial companies listed on the Korea Exchange (KRX). The working capital and corporate performance are measured as the ratio of the net working capital to sales and return on assets, respectively. The results are as follows. First, there is no significant relationship between the working capital and corporate performance in the total sample. Second, the working capital is positively related to the firms' performance in the negative working capital group while the working capital is negatively related to the corporate performance in the positive working capital group. These findings indicate the existence of an optimal working capital level for firms. Third, the firms' financial constraints have no effects on the relationship between the working capital and corporate performance. This suggests that there are no interactive effects among the working capital, financial constraints, and profitability of the firms. This study implicates that managers should consider the different roles and impacts when developing an efficient working capital management strategy.

The Effects of Investment Opportunities and External Financing on Firms' Capital Investments (투자기회 및 외부금융의존도가 기업의 자본투자에 미치는 영향)

  • Ryu, Sung-Yong;Yook, Yoon-Bok
    • Management & Information Systems Review
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    • v.28 no.4
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    • pp.67-92
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    • 2009
  • We examine the effects of investment opportunities, external financing, and cost of debts on the firms' capital investments. The empirical findings indicate that : (1) the firms' investment opportunities positively stimulates corporate capital investments but the effects of investment opportunities on the firms' capital investments decrease as the external financing and cost of debts increase ; (2) the firms' investment opportunities are positively correlated with firms' capital investments but the effects of external financing on the firms' capital investments decrease as cost of debts increase; (3) cost of debts is negatively associated with firms' capital investments and especially in the KOSPI firms, the effects of investment opportunities on the firms' capital investments decrease as cost of debts increase. Our findings suggest that managers' views be different from the policy maker's view and the more firms' internal factors of capital investments be found in the future.

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The Analysis of EU Carbon Prices Using SVECM Approach (SVECM 모형을 이용한 탄소배출권 가격 연구)

  • Bu, Gi-Duck;Jeong, Kiho
    • Environmental and Resource Economics Review
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    • v.20 no.3
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    • pp.531-565
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    • 2011
  • All previous studies analyzing multivariate time series data of EUA (European Union Allowance) price commonly used endogenous variables within the four variables and included the period from April to June of 2006 in the analysis, when the price distortion occurred. This study uses graph theory and structural vector error correction model (SVECM) to analyze the daily time series data of the EUA (European Union Allowance) price. As endogenous variables, five variables are considered for the analysis, including prices of crude oil, natural gas, electricity and coal in addition to carbon price. Data period is Phase 2 period (April 21, 2008 to March 31, 2010) to avoid the EUA price distortion of Phase 1 period (2005~2007). Further, the monthly data including the economic variables as endogenous variables are analyzed.

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The Effects of Auditor Turnover Ratio on the Quality of Earnings (경영자의 외부감사인 교체빈도가 기업이익의 질에 미치는 영향)

  • Jung, Suk-Yong;Hwang, Kyu-Jin;Kim, Ki-Beom
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.4
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    • pp.877-886
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    • 2009
  • Since 1982, the auditee have selected the auditor under market mechanism. Under the system on which the auditor have been chosen by client, there have been chances for opinion shopping, etc. To prevent those, some audit regulations have been introduced. Prior studies have documented the positive effect of these audit regulations. Those studies, however, had some limitations which they dealt with just short event period for empirical tests. This study examines the effect of Auditor Turnover Ratio on the Quality of Earnings using a sample of firms that were listed on Korea Exchange(KRX) from 1995 to 2004. The firms that change auditor frequently are expected to have low disclosure quality. The CEO with the incentives to manage or manipulate earnings could accomplish this purpose by replacing existing auditor with more friendly auditor, which could result in eventually lowering earning's quality of the firm. The result of empirical test shows that the accrual quality of firms which have high auditor turnover ratio are significantly lower than those of firms which have low ratio. This result is consistent with our hypothesis that the more frequently a firm changes auditor, the lower the quality of earning is. This evidence might give the implication to policy-making supervisor.

Controlling Ownership and R &D Investment in Chinese Firms (지배주주 지분율과 연구개발 투자: 중국 상장기업을 대상으로)

  • Cho, Young-Gon;Li, Chun-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.12
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    • pp.162-169
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    • 2016
  • Using 1795 observations from the 5 year-359 firm panel data collected during the period from 2009 to 2013 in Chinese stock exchanges, this study examines the impact of the controlling shareholders' ownership on R & D expenditure. This empirical study finds that when firms are state-owned, the controlling shareholders' ownership has a U shaped relation with the level of R & D expenses. A non-linear relation is also found when piece-wise regression models are applied. This empirical study also finds that when firms are private-owned, the controlling shareholders' ownership is negatively related to the level of R & D expenses, and no structural changes in the relation are found when piece-wise regression models are applied. These results support the hypothesis that the effects of the controlling shareholders' ownership on R & D expenses may differ depending on the ownership type of the controlling shareholders. This finding suggests that the differences in the controlling shareholders' incentives due to their ownership type should be considered when exploring the relation between the controlling shareholders' ownership and corporate strategic decisions.

The Effect of Tender-offer on the Value of the Firms in Korea (공개매수가 기업가치에 미치는 영향에 관한 연구)

  • Jeong, Jin-Ho;Ha, Jong-Bae
    • The Korean Journal of Financial Management
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    • v.23 no.1
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    • pp.1-47
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    • 2006
  • This study investigated the effect of tender-offer on the value of the firms in Korea. For this purpose, the study applied an event study methodology to 55 cases(bidding firm : 26, target firm : 39) of tender-offer and 164 cases(bidding firm : 144, target firm : 20) of merger announcements made between January 1st, 1994 and September 30th 2004. We found the following results. For tender-offer announcements, there was a significant increase in target firm's value while there was no significant change in bidding firm's value. In contrast, for merger announcements, there was a significant increase in bidding firm's value while there was no significant change in target firm's value. In addition, the synergy effect of tender-offer was higher than that of merger. The results support the Berkovitch and Khanna(1991)'s prediction that bidding firms choose tender-offer rather than merger in the presence of higher synergy profit from M&A.

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