• Journal of Communication Design
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• v.57
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• pp.44-53
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• 2016

Expected consumer's consumption propensity affected by advertisement using media facade and how this advertisement can affect consumer response and advertising effectiveness will be examined practically. This research showed TV advertisement and media facade advertisement to each participants of research in order to evaluate consumer response and effectiveness of media facade advertisement and took a survey. Research result, positive response was observed that consumer who were exposed of media facade advertisement showed more positive cognition/emotional response than TV advertisement. And effectiveness of media facade is more than standard. However, product attitude was not statistically positive. Therefore, it can be said that media facade advertisement does not affect positively on product attitude, but it is effective on purchase intention. Next, consumer who is exposed of media facade advertisement showed little low correlation on cognition response and product attitude, but showed positive correlation on cognition response, purchase intention, emotional response and product attitude. Accordingly, more positive consumer's cognition and emotional response is, the higher advertisement effect can be observed. Last, positive result were not presented in consumer's consumption propensity in regards to rational/emotional response. This means that it is invalid to state that consumer response differs for consumer propensity. Through result of experiment, a statement that media facade is a new media that has various possibility as advertisement mediator had been proved. Especially, as it shows that positive effect exists regardless of consumer's consumption propensity, use of media facade as marketing means is reasonable for firm in order to increase satisfaction of consumer and brand value.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.364-371
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• 2019

The World Health Organization (WHO) announced the 11th International Classification System (ICD-11), which classifies game addiction as a disease in 2018. Sin stocks are defined as the companies that have negative addictive properties and are taxed on social costs. If a game disorder is listed in the disease classification system in Korea, it is highly likely that Korean game companies may be considered as sin stocks that causes negative addictive properties and social costs such as the game addiction and the game addiction tax. This suggests that game companies could be newly included in the scope of sin stocks in Korea. In this study, we examine the effect of the inclusion of game companies in the scope of sin stocks on the job preferences of game companies. We found that there is a high level of opposition to the opinion of the listing sin stocks of game companies, and a high degree of addiction and gambling was suggested as the cause of the game companies being classified as sin stocks. We also found that firm value and job preference would be decrease if a game company was classified as sin stocks. The study is meaningful in that it suggests that game companies can be perceived negatively as sin stocks due to the disease code of game disorder, which has recently emerged as a social issue. Also, this study will contribute to the academia and market participants by reporting statistically the effect of the classification of sin stocks in game companies on job preferences for game companies.

• Journal of Korea Trade
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• v.23 no.6
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• pp.66-92
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• 2019

Purpose - Foreign Exchange Rates (FER) have been one of the most significant factors for both Korean exporters and the economy of Korea. The purpose of this study is to evaluate whether exporters with a high level of Exchange Rate Elasticity of Sales (ERES) make the use of earnings management for Income Smoothing (IS). Design/methodology - Income smoothing was obtained using the methodology suggested by Leuz, Nanda and Wysocki (2003). Accruals-based Earnings Management (AEM) was estimated using Discretionary Accruals (DA) calculated by the operant Jones Model developed by Dechow, Sloan and Sweeney (1995). Real Earnings Management (REM) was obtained using the methodologies suggested by Roychowdhury (2006) and Cohen and Zarowin (2010). Data were 2,402 firm years of public listed companies on the KRX, which were not in the financial industry and had a settlement of accounts in December for the period from 2013 to 2017. Findings - Results of the evaluation are as follows. First, companies with higher levels of ERES have relatively lower levels of smoothing of reported income. This might be because a fluctuation in sales caused by an exchange rate fluctuation has a direct impact on the volatility of the reported income. Second, companies with high levels of both ERES and IS have a positive correlation with both AEM and REM. This might be because companies with high levels of IS engage in earnings management to smooth reported income. Specifically, it is possible to assume that for smoothing the reported income, not only AEM but also REM is practiced. Third, companies with high levels of ERES but low levels of IS have a negative correlation with both AEM and REM. This could be interpreted as companies exhibiting low levels of IS due to higher levels of ERES tend to control IS. In addition, such results were supported by firms relying highly on exporting, and are consequently sensitive to exchange rate fluctuation. Therefore, it may conclude that companies with high levels of ERES make the use of earnings management as a means of IS. Originality/value - This study can find its significance from the fact that it is the first study, empirically verifying that companies of Korea, where exportation is a large part, use both AEM and REM as a means for smoothing reported income upon facing exchange rate fluctuations. In addition, it is highly expected that the results of this study could be useful for participants of financial markets when making IS-related decisions.

• Journal of Korea Trade
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• v.24 no.8
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• pp.153-170
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• 2020

Purpose - As the US-China trade war intensifies and lasts long time, there is growing concern about its potential effects on the global economy. In particular, for the countries like Korea that have a large economic dependence on the economy of the two countries, the US-China trade war may have a great repercussion in many ways. The aim of this paper is to investigate the global productivity and market structure implications of the US-China trade war for Korea, as well as for other surrounding countries and regions. Design/methodology - In this paper, we develop a full multi-country/region multi-sector computable general equilibrium (CGE) model of global trade incorporating heterogeneous workers and firms in individual skill levels and used technologies. We then calibrate the model using a global Social Accounting Matrix (SAM) dataset extracted from the recently released GTAP 10 Database, and assess the potential effects of the US-China trade war on the aggregate real productivity and the market structure for Korea, as well as for other surrounding countries and regions. Findings - We show that the US-China trade war may largely affect the aggregate productivity in each sector in each country/region, as well as the global market structure through entry and exit of firms, which results finally in considerable changes in the industrial comparative advantage of each country/region. Though the effects are diverse sector by sector, the results show that Korea may also be affected significantly: concerning the real productivity implications, it is shown that the machinery industry may be affected the most negatively; on the other hand, it is shown that the number of exporting firms may decrease the most in the other transports industry. Originality/value - As the US-China trade war intensifies, many studies have tried to estimate the possible implications, and for this usually the CGE models have largely been used as the standard tool for evaluating the impacts of changes in trade policies. Standard CGE models, however, cannot be used to assess the global productivity and market structure implications due to the symmetric and simplified base assumptions. This paper is the first to analyze and quantify the possible impacts of the US-China trade war on the aggregate productivity and global market structure using a CGE model incorporating endogenous skill-technology assignment of heterogeneous workers and firms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.232-241
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• 2019

This study examines one of the conventional and controversial issues in modern finance. Specifically, this study identifies financial determinants of corporate R&D intensity for firms belonging to Korean Chaebols. Empirical estimation procedures are applied to derive more robust results of each hypothesis test. Static panel data, Tobit regression and stepwise regression models are employed to obtain significant financial factors of R&D expenditures, while logit, probit and complementary log-log regression models are used to detect financial differences between Chaebol firms and their counterparts not classified as Chaebols. Study results found the level of R&D intensity in the prior fiscal year, market-value based leverage ratio and firm size empirically showed their significance to account for corporate R&D intensity in the first hypothesis test, whereas the majority of explanatory variables had important power on a relative basis. Assuming that the current circumstances in the domestic capital market may necessitate gradual changes of Korean Chaebols in terms of their socio-economic function, the results of this study are expected to contribute to identifying financial antecedents that can be beneficial to attain optimal level of corporate R&D expenditures for Chaebol firms on a virtuous cycle.

• International Area Studies Review
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• v.22 no.3
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• pp.175-200
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• 2018

Since the 1990s rising intangible asset has become one of the main driving forces of investment stagnation and jobless growth in advanced income countries. We investigate how does the impact of firms' profitability on employment growth depends on the intangibility and whether the relationship between profitability and tangibility has complementarity. With data on Korean firms over the period 1988~2017 we investigate the effects of intangibility and profitability on employment growth based on the econometric approach of system GMM. The empirical results are as follows. (1) the profit rate has gradually led to lower employment growth, while it had positive effect on employment before the period of financial crisis. The estimated values and signs of profit rate coefficients varies from traditional industries to high/medium tech. industries. (2) the effect of increasing asset intangibility ratio on employment growth is negative and statistically significant. (3) the coefficients of interaction term of (profit rate ${\times}$ intangibility ratio) have significant negative values. It means employment effect of profit rate are becoming higher(lower) as intangibility ratio is at the lower(higher) level; profits rate and intangibility are not complement with each other. The results imply that to boost employment industrial policy which has the capacity to coordinate business intangibility is preferred to expansionary demand policy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.248-258
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• 2021

The study analyzed the financial determinants of corporate R&D intensity that require more attention from academics and practitioners in the Korean capital market. Domestic small and medium enterprises (SMEs) may face with developing substitutes by making more R&D investments in scale and scope, given the unprecedented economic conditions such as the limitation of importing core components and materials from other nation(s). KOSDAQ-listed SMEs were selected as sample data, whose R&D expenditures may be less than those of large firms during the post-global financial turmoil period (2010~2018). Static panel data model was applied, along with Tobit and stepwise regression models, for examining the validity of results. Logit, probit, and complementary log-log regressions were also employed for a relative analysis. R&D expenditures in the prior year, the interaction effect between the previous R&D intensity and high-tech sector, firm size, and growth rate were significant to determine R&D intensity. Moreover, a majority of explanatory variables were found to change between the years 2011 and 2018, while time-lagged effects between the R&D intensity and growth rate exist. Results of the study are expected to be used for future research to detect optimal levels of R&D expenditures for the value maximization of SMEs.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.697-703
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• 2022

Due to the recent economic downturn caused by Covid-19 and the unstable international situation, many investors are choosing the derivatives market as a means of investment. However, the derivatives market has a greater risk than the stock market, and research on the market of market participants is insufficient. Recently, with the development of artificial intelligence, machine learning has been widely used in the derivatives market. In this paper, reinforcement learning, one of the machine learning techniques, is applied to analyze the scalping technique that trades futures in minutes. The data set consists of 21 attributes using the closing price, moving average line, and Bollinger band indicators of 1 minute and 3 minute data for 6 months by selecting 4 products among futures products traded at trading firm. In the experiment, DNN artificial neural network model and three reinforcement learning algorithms, namely, DQN (Deep Q-Network), A2C (Advantage Actor Critic), and A3C (Asynchronous A2C) were used, and they were trained and verified through learning data set and test data set. For scalping, the agent chooses one of the actions of buying and selling, and the ratio of the portfolio value according to the action result is rewarded. Experiment results show that the energy sector products such as Heating Oil and Crude Oil yield relatively high cumulative returns compared to the index sector products such as Mini Russell 2000 and Hang Seng Index.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.595-596
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• 2009

정보화의 발전에 비례하여 정보보호의 중요성도 높아지고 있다. 최근까지 정보보호에 대한 관심과 주요 연구의 흐름은 기술적인 보호조치(예: 암호화, 접근제어, 방화벽 등)와 관리적 관점의 행동연구였다. 최근에 들어서야 국내외적으로 정보보호 투자효과에 대한 연구가 활성화되기 시작했다. 정보보호 투자효과에 대한 계량적 산정이 필요한 이유는 정보보호의 중요성을 정확하게 인식할 수 있어 적정규모의 예산을 책정하고 효율적으로 예산을 투입할 수 있는 기초를 마련할 수 있기 때문이다. 정보보호 투자효과를 측정하기 위한 선행연구로 보안사고의 피해규모를 산정하는 연구가 필수적이다. 보안사고의 피해규모는 가시적 손실(피해복구, 생산성 저하, 손해배상 등)과, 비가시적 손실(고객 충성도 저하, 회사의 브랜드 이미지 하락 등) 규모의 합으로 구성된다. 그 동안 가시적 손실규모 측정에 관한 연구는 상대적으로 많았으나, 비가시적 손실규모 측정에 관한 연구는 상대적으로 미흡하였던 것이 사실이다. 이는 현실적으로 비가시적 손실규모를 측정할 수 있는 접근방법을 고안해내는 것이 어려웠기 때문이다. 이로 인해 막연히 비가시적 손실규모가 가시적 손실규모에 비해 대단히 클 것이라고 짐작해 올 수 밖에 없었다. 본 논문에서는 보안사고의 비가시적 손실규모를 측정하기 위해 대규모 개인정보 보안 사고가 발생한 기업의 매출액 증가율을 경쟁기업과 분석하는 연구방법을 제안한다. 매출액은 영업이익 및 순이익과는 달리 회사 내부적인 회계방침에 의해 규모의 조절이 불가능한 재무요소이면서 회사가 고객 충성도 저하와 회사의 브랜드 이미지 하락으로 인해 받게 되는 영향을 가장 정확하게 반영하는 재무요소이기도 하다. 연구방법에 따라 2008년 대규모 개인정보 보안사고가 발생한 국내기업을 선정하고 그 경쟁사와 매출액 변화추이를 비교 분석하였다. 분석결과 보안사고가 발생한 기업의 평균 매출액 증가율이 경쟁사 평균 매출액 증가율 보다 0.0225% 높다는 사실을 발견했다. 이 결과는 국내의 보안 사고가 기업 가치에 미치는 비가시적 영향이 거의 없거나 또는 발생하더라도 그 영향력이 미미하여 가격정책 및 광고 홍보를 통해 충분히 극복할 수 있다는 점을 대변한다. 본 논문의 결과는 역설적으로 국내 보안사고의 피해규모를 측정하는데 있어 가시적 손실규모의 정확한 측정이 무엇보다 중요함을 의미한다.

• Asia Marketing Journal
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• v.11 no.1
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• pp.1-27
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• 2009

The research compared the motivational network of traits predictive of complaint attitudes across consumers in the U.S. and South Korean cultures. Overall, the results revealed a similar pattern of traits predictive of complaint attitudes in the two cultures. The traits of value consciousness, general self-efficacy, emotional instability, and the need for material resources were positively related to attitudes toward complaining. In contrast, conscientiousness was negatively related to complaint attitudes. The only trait predictor of complaining attitude that was significantly different between the Korean and U.S. samples was shopping enjoyment. It was negatively related to complaining attitude in the U.S. sample but unrelated to complaining attitude in the Korean sample. Understanding the personality traits predictive of complaint attitudes has the potential to help marketers develop messages that will encourage the low complaint prone to voice their dissatisfaction. This is important, because when a consumer complains about and unsatisfactory purchase, it gives the firm a chance to take actions to avoid losing a customer.