• 지능정보연구
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• 제28권2호
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• pp.237-262
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• 2022

본 연구는 개인투자자들의 투자의사결정에 도움을 주고자, 증권신고서의 TF-IDF 텍스트 분석과 기계학습을 이용해 공모주의 상장 5거래일 이후 주식 가격 등락을 예측하는 모델을 제시한다. 연구 표본은 2009년 6월부터 2020년 12월 사이에 신규 상장된 691개의 국내 IPO 종목이다. 기업, 공모, 시장과 관련된 다양한 재무적 및 비재무적 IPO 관련 변수와 증권신고서의 어조를 분석하여 예측했고, 증권신고서의 어조 분석을 위해서 TF-IDF (Term Frequency - Inverse Document Frequency)에 기반한 텍스트 분석을 이용해 신고서의 투자위험요소란의 텍스트를 긍정적 어조, 중립적 어조, 부정적 어조로 분류하였다. 가격 등락 예측에는 로지스틱 회귀분석(Logistic Regression), 랜덤 포레스트(Random Forest), 서포트벡터머신(Support Vector Machine), 인공신경망(Artificial Neural Network) 기법을 사용하였고, 예측 결과 IPO 관련 변수와 증권신고서 어조 변수를 함께 사용한 모델이 IPO 관련 변수만을 사용한 모델보다 높은 예측 정확도를 보였다. 랜덤 포레스트 모형은 1.45%p 높아진 예측 정확도를 보였으며, 인공신공망 모형과 서포트벡터머신 모형은 각각 4.34%p, 5.07%p 향상을 보였다. 추가적으로 모형간 차이를 맥니마 검정을 통해 통계적으로 검증한 결과, 어조 변수의 유무에 따른 예측 모형의 성과 차이가 유의확률 1% 수준에서 유의했다. 이를 통해, 증권신고서에 표현된 어조가 공모주의 가격 등락 예측에 영향을 미치는 요인이라는 것을 확인할 수 있었다.

• 한국주거학회논문집
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• 제13권5호
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• pp.77-88
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• 2002

This article deals the investigations how to solve the social deficiencies of deteriorate apartments, which is a half cycle of a building and it goes slum clearance and redevelopment. And this proposes an active remodeling and design strategy, management, and housing policies for extending the usage of the resource. Most of apartment housing in Korea is built by the panel wall and slab structure system fur economic price. To remake is possible, even though not designed in flexibility and variation. The remodeling strategies are dwelling unification, transformation of two units to one or three units, addition of a room, changing into commercial and community required spaces, and reshaping of a envelop and facade by addition of a dwelling or dwellings, roof floors, change of materials and colors, and so on. And, all activities in structural aspect are proposed removal in upper part and addition in lower part of an apartment housing. Active remodeling cost a great deal compare to new construction, so any remodeling activities should be based on a minimal interfere and budgets to enhancing the quality in existing building. The final aim of an active remodeling is to enhance the quality in economic values, and to keep original state and to put on the new one in a small part. To promote the active and careful management and rehabilitation, it is necessary to give the positive incentive in terms of architectural law, bank loan, and any redevelopment project should get the remodeling record in national resources.

• 수산경영론집
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• 제42권3호
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• pp.41-61
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• 2011

Marine protected Areas(MPAs) are specially designated zones of the sea that are designed to secure operation of ecosystem function and to restore marine ecosystem to the original state by excluding all detrimental human activities. MPAs have been proposed in many countries as means of realizing sustainable fisheries and recently MPAs are newly receiving attention as precautionary measure for global warming and climate change. The purpose of this paper is to examine the possibility of MPAs as fisheries management tools through a wide range of literature analysis and to suggest necessity of fisheries purpose of MPAs in Korea. Establishment of marine protected area can accompany various economic benefits such as restoration of marine environment, preservation of habitats, promotion of marine tourism and so on. Especially, a lot of case studies suggested that MPAs may bring out benefits to the fishing industry as a result of enhanced stocks. Fisheries benefits of MPAs on targeted species include increased abundance, increased mean individual size and age, increased reproductive output, enhanced recruitment inside and outside refuge, maintenance of genetic diversity of stocks, and enhanced fishery yields in adjacent fishing grounds, so called spill-over. MPAs for ecosystem conservation and protection of coastal wetland have been applied appropriately and effectively, however, the Korean MPAs system is still detective due to absence of fisheries purpose MPAs. Finally, suggestions for Korean MPAs can be summarized as following four recommendations; to establish number of small-scale MPAs rather than few large MPAs, to designate island and its surrounding areas as reserve, to consider MPA design with stock enhancement program, and to undertake co-management with Eochon-Gye, the traditional coastal community in Korea.

• 수산해양기술연구
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• 제56권1호
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• pp.26-36
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• 2020

Thousands of pelagic and demersal fishes inhabit the waters around Korea and many of them are overexploited. One of the reasons is technological development, which increases the efficiency of the vessels continuously. The analysis was conducted to identify the change of fishing power index to develop the vessel and gear technology that may have improved the fishing efficiency of the otter trawl fishery from 1960s to 2010s. Gross tonnage was decreased stably, but horse power was increased annually. The perimeter of net mouth was somewhat longer, but little changed. Color fish finder was utilized from the mid-1960s. Hydraulic net drum were introduced in the early 1990s, and supply rate was gradually increased. Surveys on the supply and upgrading of fishing equipment utilized visiting research. Therefore, the relative fishing power index in the trawl fishery increased about two to three times in the 2010s compared to the 1980s. The results are expected to contribute to reasonable fisheries stock management.

• 한국경영과학회지
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• 제28권3호
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• pp.81-101
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• 2003

The financial statements purpose to provide useful information to decision-making process of business managers. The value-relevant information, however, embedded in the financial statement has been often overlooked in Korea. In fact, the financial statements in Korea have been utilized for nothing but account reports to Security Supervision Boards (SSB). The objective of this study is to develop earnings forecasting models through financial statement analysis using artificial intelligence (AI). AI methods are employed in forecasting earnings: artificial neural networks (ANN) for manufacturing industry and case~based reasoning (CBR) for banking industry. The experimental results using such AI methods are as follows. Using ANN for manufacturing industry records 63.2% of hit ratio for out-of-sample, which outperforms the logistic regression by around 4%. The experiment through CBR for banking industry shows 65.0% of hit ratio that beats the statistical method by 13.2% in holdout sample. Finally, the prediction results for manufacturing industry are validated through monitoring the shift in cumulative returns of portfolios based on the earning prediction. The portfolio with the firms whose earnings are predicted to increase is designated as best portfolio and the portfolio with the earnings-decreasing firms as worst portfolio. The difference between two portfolios is about 3% of cumulative abnormal return on average. Consequently, this result showed that the financial statements in Korea contain the value-relevant information that is not reflected in stock prices.

• 경영과학
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• 제20권1호
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• pp.25-36
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• 2003

Now that many organizations have invested a tremendous amount of money and efforts to operate Web sites on the Internet, there is a strong demand to understand the effectiveness of such investments. In other words, one of most frequent and important questions about their Web sites is "Will the current Web site management policy be effective enough to have more visitors come to our Web site\ulcorner" In this paper, a system which predicts the degree of user interest in the future to Web sites is constructed. The degree of user interest to a Web site is defined to be the visit counts for the Web site in the system. With higher the visit counts, the related site is considered to be more interesting. However, the figures of the visit counts themselves cannot explain properly the degree of user Interest in the future to the related Web sites (i.e. the effectiveness of the related Web sites). Therefore, the system also uses mechanisms which use the concept of the Moving Averages, which have been used frequently in the stock exchanges. In this paper. two prediction mechanisms are proposed and compared. The first mechanism uses the Golden Cross/the Dead Cross of the Moving Averages, while the second mechanism uses the changes of upward/downward direction of the Moving Averages. Experimental results show that the two prediction mechanisms proposed in this paper predict the degree of user interest in the future to the related Web sites very well in most cases. However, the first one is considered to be better than the second one In the sense that the second one is too much sensitive to the changes of visit counts.it counts.

• 한국경영과학회지
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• 제38권4호
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• pp.53-63
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• 2013

Together with soaring interest on Big Data, now there are vigorous reports that unearth various social values lying underneath those data from a number of application areas. Among those reports many are using such data as Internet search histories from Google site, social relationships from Facebook, and transactional or locational traces collected from various ubiquitous devices. Many of those researches, however, are conducted based on the data sets that are accumulated over the North American and European areas, which means that direct interpretation and application of social values exhibited by those researches to the other areas like Korea can be a disturbing task. This research has started from a validation study against Korean environment of the former paper which says an investment strategy that exploits up and down of Google search volume on a carefully selected set of terms shows high market performance. A huge difference between North American and Korean environment can be eye witnessed via the distinction in profit rates that are exhibited by the corresponding set of search terms. Two sets of search terms actually presented low correlation in their profit rates over two financial markets. Even in an experiment which compares the profit rates with two different investment periods with the same set of search terms showed no such meaningful result that outperforms the market average. With all these results, we cautiously conclude that establishing an investment strategy that exploits Internet search volume over a specified word set needs more conscious approach.

• 한국산림과학회지
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• 제99권6호
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• pp.802-807
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• 2010

본 연구에서는 퍼지선형계획법을 적용함으로써 국내의 장기목재공급 잠재력을 예측하고자 하였다. 생산계획 수립을 위한 수식모형을 구성하기 위하여 총 목재생산량의 극대를 목적함수로 설정하였으며, 제약조건으로는 벌채허용면적, 보속수확 등을 고려하였다. 선형계획법과 퍼지선형계획법의 비교 결과 목재생산량 및 입목축척의 관점에서 선형계획법이 퍼지 선형계획법 보다 높게 나타났다. 그러나, 선형계획법에서는 장기적인 관점에서 보속수확을 달성하지 못하는 것으로 나타나 보속성을 고려한 목재공급 잠재력을 예측하기 위해서는 퍼지선형계획법을 적용하는 것이 적합한 것으로 판단되었다. 연구결과 국내 연간 목재공급 잠재량은 약 10.5백만$m^3$으로 추정되었다. 각 지역별 연간 목재공급 잠재량은 경상북도가 가장 많고, 전라남도, 강원도, 그리고 경상남도 순으로 많게 나타났다.

• 한국항만경제학회지
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• 제33권4호
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• pp.99-116
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• 2017

본 연구는 최근 10여년을 대상으로 일본의 경제 지표와 물류업의 경영활동 성과지표의 변화 특징을 분석하고자 한다. 그리고 물류기업의 사업전략과 관련된 집단별 경영성과에 대해 비교 분석함으로써 경제 환경의 변화 속에서 물류업의 전략행동이 경영성과에 어떻게 나타났는지를 밝히는 것이 주된 목적이다. 연구분석 방법으로는 상관관계분석, 교차분석, 분산분석을 이용하였다, 핵심적 연구결과를 요약하면, 첫째 물류기업의 수입은 GDP, 무역액, 주가 등의 경기지표와 상관성이 높게 나타났는데, 특히 육상운송업은 주가와 해운업은 무역액과 상관성이 높았다. 둘째 물류기업의 사업전략 변인인 업종과 생산구조 특징 간에는 상관성이 발견되었고, 업종별 상이한 전략이 적합한 것으로 이해되었다. 셋째 사업전략의 변인이 경영성과 변수에 미치는 영향은 유의미하게 나타났으며, 특히 3개요인의 상호작용효과가 수익률에 미치는 영향의 차이를 이해할 수 있었다. 이 같은 연구결과는 최근 10년 동안의 일본의 경제환경 변화 속에서 물류기업이 높은 경영성과를 얻을 수 있는 기업전략이 무엇이었는지 이해함에 큰 도움이 된다.

• 아태비즈니스연구
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• 제5권2호
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• pp.51-64
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• 2014

Strategic bundling of Human Resource Management (HRM) practices among themselves works together as an entire HRM system rather than individual HRM practices to achieve organizational objectives. The bundles of HR practices support the effectiveness of one another assuming the effectiveness of any practice depends on other practices in place. It is said that the greater the total degree of bundling among the various components of HRM policies and practices, the more will be the organizational outcomes. Realizing these facts, this study aimed to explore the level of strategic bundling and examined the impact of such bundling on organizational performance to the publicly listed companies of Nepal. This empirical study is based on description and exploratory design for which data collected through the questionnaire based on 5-point liker scale. Total population of the study at the time of data collection are 234 organizations publicly listed in Stock Exchange of Nepal. Questionnaire is distributed to all organizations listed, response received from 105 organizations, as a unit of analysis, which is fairly good response. The study of strategic bundling of HRM practices perhaps the first study in Nepal, found that only 32 percent organizations have followed high bundling HR practices and these high bundling organizations are significantly different with low bundling organizations. Business organizations are trying to practice being close association of HRM policies and practices within them except labor relation with employee participation and business strategies. Supporting to the international literature, strategic bundling of HRM practices among themselves shows statistically significant effects on quality of product or services, labor productivity, financial performance, employee satisfaction, rate of innovation, employee commitment and market share.