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전경민,이창우,김영태,김재홍 ( Kyung Min Jun,Chang Woo Lee,Young Tae Kim,Jae Hong Kim ) 대한피부과학회 1991 대한피부과학회지 Vol.29 No.2
A 13-year-old male presented with a walnut-size tender swelling of the left supraclavicular area. The lesion developed 4 months after BCG vaccination in a left. upper arm location. The supraclavicular lesion gradually increased in size and became suppurative witii resultant sinus formation. Histopathological examination of the nodular lesion showei3 foci of epithelioid granulomas with caseation necrosis, and several Langhans' type giant cells. After a diagnosis of BCGitis was made, the patient was, treated with isoniazid an l rifampin for two months without much benefits. Surgical excision of the lesion eri. performed to expedite clinical regression. After six months of antituherculous chemctherapy, a clinical remission was evident. Scrofuloderma-like BC.'Gitis as well as other cutaneous complications of BCG vaecination are not uncommon. Thus, the practicing dermatologist should be aware of these complications, for correct diagnosis and treatment. (Kor J Dermatol 29(2):233 236)
전경민,임재영,김성현,조현서,정대식,김종원,송영기,김경수 한국정보처리학회 2025 정보처리학회 논문지(KTSDE) Vol.14 No.4
최근 온라인 광고의 급성장으로 인해 광고비 분석과 예측은 기업의 마케팅 전략 수립에 있어 필수적인 요소로 자리 잡고 있다. 광고비는 기업이자사의 상품이나 서비스를 홍보하기 위해 지출하는 핵심적인 마케팅 비용 중 하나로, 광고 캠페인의 효율성을 극대화하고 각 광고주 간 입찰 경쟁에서우위를 점하기 위해 그 중요성이 더욱 부각되고 있다. 본 연구에서는 다양한 도메인에서 사용하는 키워드와 해당 키워드에 대한 광고비를 예측하는머신러닝 기반 회귀 모델을 제안한다. 이 연구에서 사용된 데이터는 크롤링 기술을 활용하여 수집된 키워드 데이터, 네이버 API(ApplicationProgramming Interface)를 통해 추출한 광고비 예측 데이터, 그리고 광고대행사 데이터를 포함한다. 이를 통해 각 키워드의 광고비를 효과적으로예측할 수 있는 모델을 개발하고자 하였다. 연구 과정에서 LightGBM(Light Gradient Boosting Machine)을 기반으로 한 머신러닝 회귀 모델을구축하였으며, MAE(Mean Absolute Error)를 성능 평가 지표로 사용하였다. 최종적으로 MAE 250 이하의 우수한 예측 성능을 달성하였다. 따라서마케터들이 본 연구에서 제시되는 데이터를 사용하여 광고주와 광고대행사 간의 효율적인 의사결정을 지원할 수 있을 것으로 기대된다. Due to the recent rapid growth of online advertising, analysis and prediction of advertising costs are becoming essential elementsin establishing a company's marketing strategy. Advertising costs are one of the core marketing costs that companies spend to promotetheir products or services, and their importance is becoming more prominent in order to maximize the efficiency of advertising campaignsand to gain an edge in the bidding competition between advertisers. This study proposes a machine learning-based regression modelthat predicts keywords used in various domains and advertising costs for those keywords. The data used in this study include keyworddata collected using crawling technology, advertising cost prediction data extracted through Naver API(Application Programming Interface),and advertising agency data. Through this, we tried to develop a model that can effectively predict the advertising cost of each keyword. In the research process, a regression model based on the LightGBM(Light Gradient Boosting Machine) was constructed, and the MAE(MeanAbsolute Error) was used as a performance evaluation index. Finally, an excellent prediction performance of less than 250 MAE wasachieved. Therefore, it is expected that marketers will be able to use the data presented in this study to support efficient decision-makingbetween advertisers and advertising agencies.
전경민,남기만 한국국제회계학회 2020 국제회계연구 Vol.0 No.91
Using the Google searching volume index(SIV) of Korea listed firms from 2004 to 2017, this study investigates the effect of investor attention on post-earnings announcement drift. The main findings are as follows. First, we find that the higher the level of investor attention, the more significantly less the post-earning announcement drift after the earnings disclosure date. It implies that firms are more likely to provide timely the information for earnings to investors because firms with higher investor attention are faced with a high demand for information. When investors have higher attention, individual investors are also more actively collecting and interpreting information about the company’s earnings and timely making investment decisions. Therefore post-earnings announcement drift is reduced. Second, the relationship between investor attention and post-earnings announcement drift is more pronounced when firms have a small size or none of analyst followings. It can be interpreted that the less information about the company is disclosed to investors, the greater the impact of individual investors’ active information searching activities on post-earnings announcement drift. Recently, despite of a growing number of research on the impact of investor attention on the economic and finance literature, it is largely unexplored by the accounting literature. This paper extends to the literature by relating investor attention to post-earnings announcement drift. 본 연구는 2005년부터 2017년까지의 개별 기업에 대한 인터넷 검색량 지수(Searching Volume Index, SVI)를 이용하여 투자자 관심 수준을 측정하고 이러한 투자자 관심 수준이 이익공시일 이후 나타나는 주가표류현상에 미치는 영향을 분석하였다. 주요 연구결과는 다음과 같다. 첫째, 투자자 관심 수준이 높을수록 이익공시일 이후 주가표류현상이 유의하게 감소하는 것으로 나타났다. 이러한 결과는 개별 투자자들이 해당 기업에 대한 정보를 보다 적극적으로 수집하고 해석하여 투자 의사결정을 함으로써, 공시이익이 지닌 함축적 의미가 보다 적절히 주가에 반영되어 주가표류현상이 줄어드는 것으로 해석된다. 둘째, 기업규모가 작고 재무분석가가 존재하지 않는 기업의 경우, 투자자 관심 수준과 주가표류현상 간의 음(-)의 관계가 유의하게 나타났다. 이는 상대적으로 외부 투자자들에게 기업에 대한 정보가 덜 공개된 기업일수록 개별 투자자들의 적극적인 정보수집 활동, 즉 투자자 관심 수준이 주가표류현상에 더 큰 영향을 미치는 것으로 해석할 수 있다. 이러한 결과들은 투자자의 관심 수준을 직접적으로 반영한 인터넷 검색량 지수가 주가표류현상에 영향을 미치는 주요한 요인임을 보여주는 동시에 거래량 및 극단적인 주가수익률, 뉴스의 노출빈도 등을 사용하여 간접적으로 투자자 관심 수준을 측정한 선행연구결과와 차별된다.
전경민,이재형 한국회계학회 2022 회계저널 Vol.31 No.3
In general, credit rating agencies have access to corporate information that is not disclosed to individual investors and provide investors with information on credit rating through professional analysis, thereby reducing the information asymmetry between firm and investor and increasing the efficiency of resource allocation. As such, credit rating provided by credit rating agencies play an important role in the capital market. Since 1995, Korea has been required to receive credit ratings from two or more the credit evaluation agencies to improve the objectivity of credit rating and increase fairness and reliability. However, when there is an information asymmetry between credit rating agencies, credit rating are reported differently. In addition, the credit rating may vary depending on the information environment of the firm and the information analysis ability of the credit rating agency. Credit rating has a signal effect on suppliers and investors of funds in the capital market. Credit rating agencies evaluate the financial risk and business risk based on non-financial information as well as corporate financial data. However, credit rating agencies have no obligation to verify the reliability of the information provided by the firm. In other words, the credit rating agency is not an auditor, so it doesn’t fully understand the accounting assumptions for financial reports and doesn’t fully reflect the problem of information uncertainty in accounting information. Generally, investors use the credit rating provided by credit rating agencies in their investment decisions due to restrictions on information access and analysis capabilities. However, if there is a difference in credit ratings provided by credit rating agencies, the split credit rating is expected to be valuable for investors as additional information as well as the credit rating itself. The purpose of this study is to examine the relationship between split credit rating and stock price crash. Specifically, we examine whether firms with split credit rating have higher stock price crash risk. The sample of this study is 2,545 Korea listed firm-year observations from 2001 to 2019. Empirical findings are summarized as follows. First, we find that firms with split credit rating have significantly higher stock price crash risk. Second, firms have higher stock price crash risk when they are below(above) their expected rating. Specifically, we find higher stock price crash risk when the credit rating reported by credit agencies lower than expected rating. The impact on credit rating evaluation vary depending on firm’s information environment. When firms have higher information asymmetry, they are more likely to have split credit rating. The difference in credit rating is due to information asymmetry, and firms with split credit rating have greater information asymmetry, which can be interpreted as a high risk of stock price crash. Our study makes several contributions to the literature. First, consistent with the literature demonstrating that the information asymmetry leads to stock crash risk, this paper provides evidence that split credit rating, using at least two or more credit ratings, increase stock price crash risk. Second, nowadays, despite of a growing number of study on the effect of split credit rating in various fields, it is largely unexplored in accounting literature. This study extends to the literature by relating credit rating to capital market reaction such as stock price crash. Third, investors may have difficulties in analyzing the financial status only with the information provided by the firm due to restrictions on information access and ability. Therefore, investors use the information provided by credit rating agencies in making their investment decisions. This study provides investors with additional useful information as the meaning of the difference in credit rating by providing the empirical results of the impact of the split credit r...
점유면적과 유형 분석을 통한 오피스 어메니티 공간 연구 - Google Office를 중심으로 -
전경민,이소영 한국퍼실리티매니지먼트학회 2018 한국퍼실리티매니지먼트학회지 Vol.13 No.1
Office layout and workplace characteristics are closely related to workplace culture. However, little is known about types of office amenities, interdependent relationship between of physical office environment and amenities and organizational culture. The purpose of this study is to investigate the types of office amenities and what area portion of office amenities provided in the workplace cases. The types of office amenities were classified according to BOMA standards and IFMA definitions and the types of office amenities was proposed. Among the total of 16 offices Fortune awarded, Google office cases were selected as workplace for adhocracy organizational culture. Amenities areas are commonly used for food and communication. The amenities areas are used for multi purposes and the edges and boundaries of some amenities are not clear. Approximately 40% of the total space were allocated for amenities in the case office environments.
전경민,이재형,김현표 한국회계정보학회 2023 재무와회계정보저널 Vol.23 No.4
[Purpose] This study analyze the effect of the board diversity on financial reporting process. Specifically, We examine the relationship between the board diversity such as gender, nationality and background and revenue-expense recognition. [Methodology] We analyze the effect of the board diversity on financial reporting by using the ratio of female, foreigner and former government officer on the board. This study was conducted by using gender, nationality and background data in the annual reporting of Korea listed firms over the period from 2006 to 2020. [Findings] The main findings as follow. First, we find that the higher the board diversity, the more significantly matching of revenue and expense, which can be interpreted that firms with diverse board member report timely based on the revenue -expense matching principle. Second, firms with gender and nationality diversity report match the revenue to the expense. These findings are consistent with the results of prior research. [Implications] This study has the following contributions. First, this study is differentiate from prior research in terms of measuring the board diversity using three variables such as gender, nationality and background. Second, we expand the existing research on governance and board by presenting a new aspect of board diversity as a factor affecting the revenue-expense matching, and presents the timely results in a recently situation where various stockholders’ demands for board diversity of listed firms are increasing.