• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.1
• /
• pp.119-133
• /
• 2024

As a result of significant investments by the government in promoting public technology commercialization and fostering a venture startup ecosystem, there have been quantitative achievements, such as the registration of over 1,600 Innopolis Start-ups since 2006, generating a total revenue of 1.1 trillion won as of 2021. However, these achievements have been overshadowed by critical qualitative challenges, including a continuous decline in average revenue per Innopolis Start-up. This led to a focus on whether managers' technological and market orientations affect business performance. This study aims to provide insights into improving the qualitative growth of Innopolis Start-ups by analyzing the effects of technological and market orientations on business performance, as well as the moderating effects of adjusting marketing and research and development (R&D) costs on this relationship. Through prior research and empirical analysis, this study derives three main findings. First, technological excellence and innovation significantly influence the business performance of Innopolis Start-ups, while technological intensity does not. Second, customer orientation and competitive orientation significantly impact business performance, whereas entry barriers as a single factor do not. Third, adjusting marketing and R&D costs, as controlled variables obtained through general situations, has no direct impact on other variables. However, it interacts with entry barriers, influencing financial business performance, with R&D costs exhibiting a negative buffering effect and marketing costs showing a positive enhancing effect. This study confirms that both technological and market orientations directly influence the business performance of Innopolis Start-ups, thus being crucial factors affecting their growth. Moreover, it establishes that investments in marketing and R&D play significant roles in alleviating initial entry barriers and enhancing financial performance. Consequently, it underscores the importance of reinforcing technological and market orientations tailored to the characteristics of Innopolis Start-ups. Additionally, it proposes five theoretical contributions: strengthening institutional support systems for technology commercialization and innovation, improving qualitative evaluation criteria during the selection process of Innopolis Start-ups, conducting comprehensive analyses of technological and market aspects during startup selection, enhancing support for marketing education and consulting for smooth market entry, and supporting expenditure strategies and milestone setting tailored to the industrial characteristics of individual Innopolis Start-ups.

• Knowledge Management Research
• /
• v.22 no.4
• /
• pp.71-85
• /
• 2021

The purpose of this study is to find out which artificial intelligence methodology is most suitable for creating a foreign exchange rate prediction model using the indicators of bond market and interest rate market. KTBs and MSBs, which are representative products of the Korea bond market, are sold on a large scale when a risk aversion occurs, and in such cases, the USD/KRW exchange rate often rises. When USD liquidity problems occur in the onshore Korean market, the KRW Cross-Currency Swap price in the interest rate market falls, then it plays as a signal to buy USD/KRW in the foreign exchange market. Considering that the price and movement of products traded in the bond market and interest rate market directly or indirectly affect the foreign exchange market, it may be regarded that there is a close and complementary relationship among the three markets. There have been studies that reveal the relationship and correlation between the bond market, interest rate market, and foreign exchange market, but many exchange rate prediction studies in the past have mainly focused on studies based on macroeconomic indicators such as GDP, current account surplus/deficit, and inflation while active research to predict the exchange rate of the foreign exchange market using artificial intelligence based on the bond market and interest rate market indicators has not been conducted yet. This study uses the bond market and interest rate market indicator, runs artificial neural network suitable for nonlinear data analysis, logistic regression suitable for linear data analysis, and decision tree suitable for nonlinear & linear data analysis, and proves that the artificial neural network is the most suitable methodology for predicting the foreign exchange rates which are nonlinear and times series data. Beyond revealing the simple correlation between the bond market, interest rate market, and foreign exchange market, capturing the trading signals between the three markets to reveal the active correlation and prove the mutual organic movement is not only to provide foreign exchange market traders with a new trading model but also to be expected to contribute to increasing the efficiency and the knowledge management of the entire financial market.

• Journal of the Economic Geographical Society of Korea
• /
• v.13 no.2
• /
• pp.234-252
• /
• 2010

This paper examines the tendency of housing assets to become increasingly quasi-financial assets by analyzing the relationships between risks and returns in three Gangnam districts (Gangnam-gu, Seocho-gu and Songpa-gu) apartment markets in Seoul, especially for the apartments to be reconstructed, capitalizing upon some capital asset pricing models (CAPM). A single factor CAPM model shows positive relationships between risks and returns regardless of the types of apartments in three Gangnam districts. Multi-factors CAPM models also confirm that the market and SMB (small minus big) factors are positively related to the rate of returns regardless of the types of apartments. However, the unsystematic risk factor is found to be statistically positive especially for the apartments to be reconstructed, while the momentum factor is dependent upon the regression models used. An analysis on some portfolios classified by the size of apartments and price volatility and/or beta values suggests that there are the positive linear relationships between risks and returns and the SMB factor is clearly found to be significant in determining the rate of returns. In particular, housing assets are highly highlighted as investment goods and/or quasi financial assets for the apartments to be constructed in the Gangnam housing.

• Science of Emotion and Sensibility
• /
• v.11 no.4
• /
• pp.599-612
• /
• 2008

Today, communication trend of financial brand has changed fast with more foreign financial brand's introduction, emerging financial brands through the openness. With the trend of changing, companies are introducing various marketing methods to differentiate its brand image. And color marketing becomes an important tool for the differentiation. However, except a few brands, brand color which expresses management character of a company is different from the customer's preferred color which is based on investors' investment tendency. This may be related to the brand Image which is final goal of communication. Therefore, this study suggests effective communication method between company and customers by analyzing preferred color of customers by their investment tendency and comparison analysis security firms' color marketing strategy. As a result, it was found that Roland Barthes symbolic meaning of colors is different from the symbolic meaning of the groups of investor tendency. For example, I assumed that aggressive investors preferred strong color like red or orange, but the survey result was far from my assumption. I hope this study can be a good foundation for logical and scientific marketing in communication between security companies and customers in more open market with introduction to the Capital Market Consolidation Act.

• The Korean Journal of Financial Management
• /
• v.25 no.2
• /
• pp.191-213
• /
• 2008

This study tests and reconfirms the wealth transfer of mergers and acquisitions(M&As) by examining the changes in and the relationship between shareholder and bondholder wealth after the announcements of M&As for the publicly listed firms in Korea Stock Exchange and KOSDAQ market during $1999{\sim}2006$. The change in shareholder wealth is measured by the Cumulative Abnormal Return(CAR) at the M&A announcements, and the change in bondholder wealth is calculated using the Yield Spread Change(YSC) and the change in acquiring firms' credit ratings. The empirical tests show that the CAR of 344 sample acquiring firms at the announcement is 3.59%, which confirms results of the prior research on M&As in Korean market. The average YSC for 35 sample acquiring firms between $2001{\sim}2006$ proves to be negative when we use the yield spread of firms with comparable credit ratings as a benchmark, which means that the acquiring firms' bondholders gain with the announcements of M&As. We find the same result using another benchmark-the yield spread of government bonds. The improvement in the acquiring firms' credit ratings one year after the M&As also indicates that the M&As, on average, increase bondholder wealth. Our test results are consistent with those of the existing studies on the effect of bondholder wealth after the M&As in the United States, which shows that the bondholder wealth increases after the M&As. We do not find the evidence that there is a wealth transfer from the acquiring firms' bondholders to the shareholders after the M&A announcements. Rather, this study confirms that the wealth of the acquiring firms' bondholders increases in the M&As in Korea.

• Journal of Global Scholars of Marketing Science
• /
• v.8
• /
• pp.341-373
• /
• 2001

Firms are confronting the age of an infinite competition. In order to respond to the rapidly changing business environment and make a success and survival in the international and domestic securities market, firms must take a consideration on the stockholders value-oriented philosophy which has greatly contributed not only to the maximization of corporate profits but also to the stability of financial markets. To pursue stockholders value-oriented philosophy, a firm should build strong relationship with investors by providing exact information of firm's state, financial statement, management policy. Stockholders value-oriented philosophy contributes to long-term growth and development of the firm as well as efficient equity financing and friendship with stockholder. IR is the key factor to attain successful implementation of company's objective. It should be equipped with the most suitable organization and qualified man-power for IR activities. The purpose of this study was to examine the relationship between IR and relationship marketing management. Strategic implications of this study are as follows: First, This study provides a new explanations of IR activities in Relationship Marketing Management. Second, IR activities were key determinants of Trust and Commitment. That means the more a firm does IR activities, the more Trust and Commitment a firm has for their investors. Third, The variables of trust and commitment are highly related to marketing and financial success. IR have a positive effect on a company total value and its cost of capital relative to that of the overall market.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.5
• /
• pp.77-86
• /
• 2019

Purpose - The present study examined the reliability of accounting information based on the pay slice (CPS) information of chief executive officers (CEOs) in the service industry. The difference in the size of CPS under the capitalist system can be used as an index to gauge the influence of top management. Research design, data, and methodology - In accordance with the amendment of the Financial Investment Services and Capital Market Act in 2013, the pay information of individual registered executives with annual salary of more than 500 million won has been disclosed. The sample of the current study is 232 companies listed on the Korea Exchange excluding financial services from 2013 to 2015, when the individual pay-slice information for registration officers was published in the business report in accordance with the revision of the Capital Market Act. The financial data required for this study were extracted from the FnGuide and the TS-2000. With the data, we tested the relationship between CPS and accounting information reliability through a linear regression analysis. Results - The first result showed that the relationship between the CPS and human resource in internal accounting control system in the service industry is significantly negative only with the accounting department personnel. This result implied that the CEO can negatively affect the retention of the accounting department in the firm. Second, both the CPS and quality of audit in the service industry are negatively related both to audit fees and to audit time. Nonetheless, the relationship between the number of the auditor and the CPS is insignificant. This result indicated that the CEO can negatively affect audit fees and audit time of external auditors. The results of the present study suggested that CPS information may have a negative impact on the reliability of accounting information. Conclusion - This study is the first study to examine the reliability of CPS and accounting information for the service industry in terms of human resources in internal accounting control system and audit quality. Therefore, the present study is expected to provide some useful information to economic decision-making of various external parties for service firms.

• Journal of the Economic Geographical Society of Korea
• /
• v.11 no.4
• /
• pp.580-599
• /
• 2008

This paper aims at examining the existence and characteristics of regional difference in project finance in Korea. Main results of this paper are as follow. Firstly, regional difference in project finance between capital region and local can be seen partially. However, their characteristics are different from corporate finance. ANOVA tests show significant differences of excess interest rate occur in case of commercial real estate projects and significant differences of contracted terms occur in case of residential real estate projects carried out by local banks. Secondly, key factors causing the regional differences in project finance are asymmetric information for cash flow generated by the project between the capital region and local. Especially, regional differences in project finance are different from those in corporate financing because of local banks$^{\circ}{\phi}$ behaviors. They follow and act as the passive members of nationwide banks in case of the capital region projects. Thirdly, prepaid sale system and the guarantee system depending on construction companies dilute the regional differences in project finance in case of residential real estate projects. Although these systems contributed rapid growth of project finance, they may be the main factors distorting project finance market which lead to financial crisis. In these context, policy implications may be derived in order to solve the confronted problems of project finance market.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.6
• /
• pp.9-19
• /
• 2016

In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.

• The Korean Journal of Financial Management
• /
• v.27 no.1
• /
• pp.31-62
• /
• 2010

This paper analyzes empirically how analysts' forecasts affected by ownership structure. This study examine a sample of 1,037~1,629 the analysts' forecasts of firms registered in Korean Stock Exchange in the period from 2000 to 2006. The empirical results are summarized as follows. First, from the analysis, companies which have higher major shareholder's holdings tend to increase earnings forecast errors and earnings forecast accuracy. Meanwhile, companies which have higher institution shareholder's holdings tend to decrease earnings forecast errors and earnings forecast accuracy. This result is in line with the view of previous works that companies with higher major shareholder's holdings look towards more of analysts' optimistic forecasts in order to maintain friendly relations with major shareholders. Because of analysts' private information use from major shareholders, earnings forecast accuracy is higher in high major shareholder's holdings firm than in high institution shareholder's holdings it. Second, this analysis is whether the minimal required selection condition of outside directors, audit committee adoption and audit quality affect the relation between ownership structure and analysts' forecasts. This result is that variables related corporate governance do not affect statically the relation between ownership structure and analysts' forecasts. The meanings of this paper is to suggest the positive relations between ownership structure and analysts' forecasts. After this, if analysts will notice forecasts of more many firms, capital market will be more efficient and this field works are plentiful. Also it will need monitoring systems not to distort market efficiency by analysts' dishonest forecasts.