• 유통과학연구
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• 제22권5호
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• pp.27-37
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• 2024

Purpose: Evaluating hotel performance is crucial in the tourism industry, and expanding knowledge through value-centric innovation in distribution is approached from the service-dominant logic perspective. This study aims to explore and enhance understanding of efforts to improve hotel performance by introducing a new concept of significant value-centric innovation in distribution. A novel proposition is presented, synthesizing diverse marketing innovations through the lens of service-dominant logic to foster originality. Research Design, Data, and Methodology: Data from 166 respondents across various levels of hotel structural positions in Indonesia were analyzed using SEM-PLS. The relationship between market orientation and hotel performance was explored using the SEM-PLS technique. Results: The findings indicate that market orientation contributes to enhancing hotel performance. Additionally, value-centric innovation in distribution is crucial in addressing inconsistencies observed in previous studies and indicators related to variables significantly affecting hotel performance. Moreover, value-centric innovation in distribution directly improves performance indicators. Conclusions: The practical implication of this research is leveraging market orientation to enhance hotel performance. Hotel owners are encouraged to effectively implement value-centric innovation in distribution by fostering collaboratively generated shared value creation.

• 한국IT서비스학회지
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• 제15권1호
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• pp.39-66
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• 2016

There is growing evidence that professional work is changing as a result of the application of information technology (IT). However, the impact of information technology on professional work has produced mixed results. Our paper considers the source of these mixed results through a greater analytical attention paid to the nature of professional work. Defined as work involving expertise expressed through abstract and formalized knowledge as well as extensive working knowledge, the professional work logic assumes the greatest autonomy and discretion for workers in collectively controlling work characteristics-division of labor and its permanence, control over education, and control over new entrants and the monitoring and disciplining of existing members. The impact of IT on professional work will be difficult to control and predict without considering the assumptions and tensions within and across the three major types of work logics (Professional, Market and Bureaucratic). Using healthcare as an example, the paper provides various propositions for researching the initiation and effects of ICT design through these three work logics. These propositions illustrate the active role that IS researchers can take in researching an important economic and work-related topic, professional work, and in understanding how ICT affects work-related expertise.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권1호
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• pp.45-50
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• 2001

With increasing complexity of digital logic circuits, fast and accurate verification of functional behaviour becomes most critical bottleneck in meeting time-to-market requirement. This paper presents several techniques for accelerating a cycle-based logic simulation. The acceleration techniques include parallel pattern logic evaluation, circuit size reduction, and the partition of feedback loops in sequential circuits. Among all, the circuit size reduction plays a critical role in maximizing logic simulation speedup by reducing 50% of entire circuit nodes on the average. These techniques are incorporated into a levelized table-driven logic simulation system rather than a compiled-code simulation algorithm. Finally, experimental results are given to demonstrate the effectiveness of the proposed acceleration techniques. Experimental results show more than 27 times performance improvement over single pattern levelized logic simulation.

• 한국언론정보학보
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• 제51권
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• pp.136-155
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• 2010

미디어 다양성은 글로벌 시장에서의 경쟁이라는 '환상의 짝꿍'과 더불어 한국 미디어 정책을 규정하는 화두로 등장했다. 미국식 기능 행태주의가 주도하는 미디어 정책은 다양성을 시장경쟁, 소비주체의 자유로운 선택이라는 좁은 울타리에 가둔다. 이에 본 논문은 다양성 그 자체를 하나의 완결한 정책목표로 보는 시각에 근본적인 문제제기를 하고자 한다. 다양성이 미디어 정책 담론의 전면에 등장하는 계기를 한국의 중첩적 정치 경제 맥락 속에서 파악하면서, 본 논문은 기존 계량주의 다양성 연구를 비판적으로 분석한다. 나아가 미디어 다양성이 '측정의 과학'에 과도하게 집착해 탈정치화하는 경향을 주목하며 문화연구자들이 미디어 다양성을 보다 진보적으로 전취하기 위한 몇 가지 제안을 하고자 한다. 핵심적인 주장은 미디어 다양성은 시장의 경쟁과 미디어 상품의 다양화라는 신자유주의의 경제논리를 넘어서야 한다는 것이다. 비판적 문화연구자들은 미디어 다양성을 한국 민주주의의 심화라는 보다 큰 정치 프로젝트 속에서 미디어 공공성의 강화, 독립 대안 미디어에 대한 실질적 지원, 급진적 정체성의 정치학 등의 전략과 함께 고려해야 한다.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.439-451
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• 2021

The study aims to investigate the process employed by companies to intentionally create market categories through implementation of product strategy. Much of the research on market category formation focuses on the spontaneous emergence of market categories, with a few studies focusing on the intentional creation of market categories. In the course of this study, I therefore sought to understand the logic by which companies intentionally create market categories, by treating the process through which market categories are formed as a sensemaking process, and by treating the behavior of a company intentionally forming a market category as an effort to manage this sensemaking process. In empirical study, we conducted an exploratory case analysis through content analysis of company press releases and consumer reviews. It is possible that market categories can be formed or changed if the way in which they are shared among market participants can be changed. In this study, we identified two sense-giving activities for the creation of market categories by firms as follows: (1) reorganizing market categories that flat-panel TV manufacturers in the North American market have attempted to form into subcategories of smart TVs, and (2) connecting them to surrounding categories through strategic labeling to establish new categories.

• 지능정보연구
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• 제20권4호
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• pp.43-58
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• 2014

최근 정보기술의 발전으로 복잡하고 방대한 양의 주가 데이터에 대한 실시간 분석이 가능해지면서 인공지능 기법을 활용해 주식 시장의 등락을 예측하고, 이를 기반으로 매매 거래를 수행하는 트레이딩 시스템에 대한 세간의 관심이 높아지고 있다. 본 연구는 이러한 트레이딩 시스템의 시장 예측 알고리즘으로 활용될 수 있는 새로운 주식 시장 등락 예측 모형을 제시한다. 본 연구의 제안 모형은 ${\pi}$-퍼지 논리를 이용해 모든 입력변수의 차원을 low, medium, high로 퍼지변환한 입력값을 대상으로 Support Vector Machine(SVM)을 적용하여 익일 시장의 등락을 예측하도록 설계되었다. 그런데 이 경우 입력변수의 수가 3배로 늘어나기 때문에, 적절한 입력변수의 선택이 요구된다. 이에 본 연구에서는 유전자 알고리즘을 활용하여 입력변수 선택 집합을 최적화하도록 하였으며, 동시에 ${\pi}$-퍼지 논리 및 SVM에 적용되는 조절 파라미터들의 값도 함께 최적화 하도록 하였다. 모형의 성능을 검증하기 위해, 본 연구에서는 지난 2004년부터 2013년까지의 10년치 국내 주식시장 데이터를 기반으로 한 KOSPI 200 지수의 등락 예측에 제안모형을 적용해 보았다. 이 때, 비교모형으로 로지스틱 회귀모형, 다중판별분석, 의사결정나무, 인공신경망, SVM, 퍼지SVM 등도 함께 적용시켜 성과를 정밀하게 검증해 보고자 하였다. 그 결과, 제안모형이 예측 정확도는 물론 투자수익률(Return on Investment) 측면에서도 다른 모든 비교모형들에 비해 월등히 우수한 성능을 보임을 확인할 수 있었다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권1호
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• pp.7-12
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• 2003

In recent years, many attempts have been made to predict the behavior of bonds, currencies, stock or other economic markets. Most previous experiments used the neural network models for the stock market forecasting. The KOSPI 200 (Korea Composite Stock Price Index 200) is modeled by using different neural networks and fuzzy logic. In this paper, the neural network, the dynamic polynomial neural network (DPNN) and the fuzzy logic employed for the prediction of the KOSPI 200. The prediction results are compared by the root mean squared error (RMSE) and scatter plot, respectively. The results show that the performance of the fuzzy system is little bit worse than that of the DPNN but better than that of the neural network. We can develop the desired fuzzy system by optimization methods.

• 수산경영론집
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• 제28권2호
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• pp.67-85
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• 1997

The subject of this study is limited to the market of producting and the analyzed the change of the supply structures, but the wide range of the study also contains the relationship present movement of consumption and the supply stuctures. To put it concretely, the present movement of the structre and the development of the market of producting are examined with the fisheries processing firms. The factors which dominate the structure of fisheries processing are; first, fisheries products as raw materials of processing; second, man-power; third, processing facilities and techniques; forth, a market where the products will be consumed. In particular, the conditions of supply of raw materials which are major factor have been worse and worse due to exhaustion of marine resources and so the capacity of fisheries production has been reduced. Furthermore, the conditions of manpower also are in trouble. Under the conditons, raw materials are imported largely and many companies try to make overseas enpansion for cheap manpower and raw materials. Particulaly, the relationship between consumption market and the structure of processing in a place of producton is analyzed newly. I try to show new logic that demands of consumption market are reflected strongerly to production with the development of consumption market and the rights of decision on the choice of raw materials and a processing item have been handed over to consumption market. In a word, I try to examined closely the new supply structure of fisheries products and the structure of consumption market through the analysis of the structure of processing in a place of production.

• International Journal of Safety
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• 제11권2호
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• pp.15-21
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• 2012

This paper is aimed to develop an electrical fire detection system (EFDS) which can analyze the possibility of electrical fire for overcurrent, leakage current and arc signals of panel board in traditional market shop. The EFDS adopted fuzzy logic and precursory data for overcurrent, leakage current and arc signals to evaluate the possibility of electrical fire. The signals are obtained directly from panel board in traditional market shops and fuzzy membership function is obtained from experiment, simulation, expert's advice. The overcurrent data is acquired by thermal data of normal and abnormal states (partial disconnection) on the insulated electrical wire, in accordance with the increase of the current signal, The leakage current data is obtained under various environments. The arc signal is acquisited by waveforms of instantaneous value in time domain and frequency band in frequency domain. The Fuzzy algorithm for DB of EFDS consists of fuzzification, inference engine by Mamdani's method and defuzzification by center of gravity method. In order to verify the performance and reliability of EFDS, it was applied to Jeon-Ju traditional market shops (90 shops) in Korea. Results show that EFDS in this paper is useful in alarming the fire case, which will prevent severe damage to human beings and properties, and reduce the electrical fires in a vulnerable area of electrical disaster.

• 한국콘텐츠학회논문지
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• 제19권12호
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• pp.535-545
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• 2019

부동산 경매시장 지표가 상관성이 있고 유의미하다면 일반 부동산과 연계되어 부동산 시장에 의미 있는 정보가 될 수 있다. 본 연구는 부동산 경매시장의 주요 지표라고 할 수 있는 경매건수, 매각률(낙찰률), 매각가율(낙찰가율)에 대한 시계열적 상관성을 규명하여 시장 수급 논리가 경매시장에서도 적용되고 있는지 여부를 밝히는 것이 목적이다. 부동산 유형은 주거용 부동산, 토지, 상업용 부동산 세 가지로 구분하여 96개월간 수도권 부동산 경매 관련 월별 시계열 자료를 집계하였다. 이 자료를 바탕으로 유형별 경매 시장 모형을 구축하고 지표 간 상호 영향 관계를 각각 분석하였다. 분석 결과, 수급지표인 경매건수와 매각률은 시장의 수급 논리에 따른 공급 및 수요의 성격을 보였다. 다만 그 상관성은 주거용 부동산의 경우가 높았으며 상업용 부동산은 상대적으로 낮게 나타나 유형별 차이가 있음을 알 수 있다. 매각률은 가격 지표에 장기적으로 영향을 미치고 있으며, 특히 주거용 부동산 경매시장의 지표는 계량적으로 설명력이 높고 유의미하였다. 경매 관련 세 지표는 정도의 차이는 있지만 상관성이 존재하고 특히 주거용 부동산의 경우는 의미 있는 정보로서 정책 의사결정에 도움이 될 수 있다.