• 제목/요약/키워드: PRICE S Model

검색결과 989건 처리시간 0.025초

다층모형을 활용한 양파 구중 추정 연구 (A study on the estimation of onion's bulb weight using multi-level model)

  • 김준기;최성천;김재휘;서홍석
    • 응용통계연구
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    • 제33권6호
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    • pp.763-776
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    • 2020
  • 양파는 기상여건에 따른 작황의 변동성이 커 생산량 및 가격 변화가 크다. 정부는 양파를 수급 민감 품목으로 지정하여 다양한 수급 안정대책을 마련하고 시행하는데 이를 위해서는 선제적이고 신뢰도 높은 양파 생산량 예측 정보가 필수적이다. 본 연구에서는 양파의 5월 초 지상부 생육정보와 5월 초부터 수확기까지의 기상정보를 이용하여 최종 생구 무게에 미치는 영향을 추정함으로써 생산량 예측의 정확도 개선에 기여하고자 한다. 위계적 특성을 갖고 있는 자료를 통해 개체별 생육요인인 1-수준 자료와 필지별 기상요인인 2-수준 자료, 그리고 두 수준 간 상호작용을 고려한 다층모형을 도입하여 분석하였다. 분석 결과, 5월 초에 엽수, 엽초경, 초장의 생육이 좋을수록 최종 생구 무게는 증가하는 것으로 추정되었다. 5월 초부터 수확기까지의 기상요인에서는 강수량, 고온일수, 탄소동화저해일수가 생구 무게에 음의 효과가 나타났으며, 일교차와 수확전강수량은 양의 효과로 통계적으로 유의하였다. 또한 1-수준과 2-수준의 교호작용항을 고려하여 모형의 적합도와 설명력을 향상시켰다.

원산지효과, 상표자산 및 상표충성 간의 관계에 관한 연구: 미국, 중국, 한국의 비교분석 (The Relationship among Country of Origin, Brand Equity and Brand Loyalty: Comparison among USA, China and Korea)

  • 고은주;김경훈;김숙현;이구봉;추붕;장호
    • 마케팅과학연구
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    • 제19권1호
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    • pp.47-58
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    • 2009
  • The marketing environment has become competitive to an extent that requires firms to target their products at markets that span national boundaries. However, competitive clout cannot be achieved in global consumer markets unless firms thoroughly understand and adequately respond to the core values and needs of those consumers. Brand equity is one of the most important assets to a company. Especially in sportswear markets, brand equity is the crucial value added to a product by its brand name. Factors such as country of origin also influence customer's attitude towards brand equity. Therefore, this paper discusses the relationship between country of origin effect and brand equity, and how they influence consumers' loyalty for respective brands. This paper focused on the sports shoes market, because it is an increasing area of opportunity for world manufacturers. The objectives of this study were the following. (1) Test the effect of country of origin on brand equity. (2) Test how brand equity influences consumers' brand loyalty. (3) Find whether there are differences in the effects of country of origin and brand equity among the three countries. (4) Find whether there are differences in the effects of country of origin and brand equity among the different lifestyles. Based on the review of literature results, the hypotheses are concluded as the following: H1-a: Country image has positive influence on country of origin. H1-b: Product perception has positive influence on country of origin. H2-a: Perceived quality has positive effect on brand equity. H2-b: Perceived price has positive effect on brand equity. H3: Country of origin has positive effect on brand equity. H4: Brand equity has a positive impact on brand loyalty. Research model was constructed (see Fig. 1). After data analysis, the following results were concluded: sports shoes purchase behavior showed significant differences among Korean, Chinese, and American consumers for favorite brand, purchased brand, purchased place, information usage, and favorite sports games. The results of this study also extend the research of the relationship among country of origin, brand equity and brand loyalty to the sports shoes market. Brand equity was proven to have a significant relationship with brand loyalty for all countries. The factors which can influence brand equity are different for different countries. The third finding of this paper is that we identified different three lifestyles, adventurer, follower, and laggard, for Korean, Chinese and American consumers. Without the nationality boundary, seeing the emergence of a new group of consumers who have similar preferences and buy similar brands is more important. All of the consumers consider brand equity to keep their brand loyalty. Perceived price is the only factor which can influence brand equity for adventurers; brand is more important for them. The laggards were not influenced by any factor. All of the factors expect perceived price are important for the followers. Marketing managers should consider brand equity when introducing their brand into a new market. Also localization is the basic strategy that all the sports shoes companies should understand. But as a global brand, understanding the same characteristics for each country is more important to build global strategy.

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기업의 SNS 노출과 주식 수익률간의 관계 분석 (The Analysis on the Relationship between Firms' Exposures to SNS and Stock Prices in Korea)

  • 김태환;정우진;이상용
    • Asia pacific journal of information systems
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    • 제24권2호
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    • pp.233-253
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    • 2014
  • Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.

기업의 경영성과가 유상증자 공시효과에 미치는 영향 (Management Performance and Announcement Effect of Seasoned Equity Offering)

  • 윤홍근;이용환;박광석
    • 디지털융복합연구
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    • 제11권2호
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    • pp.101-114
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    • 2013
  • 본 연구는 우리나라 기업의 유상증자 공시효과는 경영성과에 영향을 받을 수 있다는 증거를 제시하고자 한다. 2000년 1월 1일부터 2007년 12월 31일까지 유상증자를 공시했던 308개의 표본기업들을 당기순이익 혹은 당기순손실에 따라 두 개의 표본 집단으로 분류하여 S.Brown and J.Warner(1985)의 사건연구 방법론에서 고안한 시장모형(ex-post market model)을 활용하여 유상증자 공시효과를 분석하였다. 당기순이익기업의 경우 유상증자공시효과가 긍정적이며 그리고 지속적으로 나타났다. 반면에, 당기순손실기업의 경우 유상증자 공시효과가 일시적으로 긍정적이었으나, 공시일 이후 +25일 전후에서 긍정적인 효과가 사라졌다. 이러한 결과는 통제변수들을 고려한 횡단면회귀분석에서도 일관되게 분석됨에 따라, 경영성과가 유상증자 공시효과에 영향을 미친다는 본 논문의 가설이 지지됨을 알 수 있다.

최적의 정비대체장비(M/F) 산출방안 비교 연구 (Study of Optimal Maintenance Float(M/F) Calculation Method)

  • 이학재;정광균;김재황;이종신;이명진
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제16권3호
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    • pp.192-201
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    • 2016
  • Purpose: In this paper, we propose the output model of the optimal inventory requirements of the Maintenance Float (M/F). Weapon systems were modernized and increased costs. Thus, the complexity increases with. Alternatives to achieve the goal of availability of weapon systems and to reduce life-cycle cost are required. Especially, securing spare parts is more effective than adding the amount of equipment or maintenance facilities to achieve the goal of availability and reduce life cycle costs. However, securing spare parts and repair costs are directly related, so exact requirements are needed. Methods: Three kinds of methods (Calculation method of applying the Poisson distribution, Calculation method of considering the number of CSP, and Calculation method of applying M&S program) that this paper proposed compare the influence of the availability and the amount of spare parts. Result: We calculate the cost of M/F when the operational availability is over than 80% and compare that result. The biggest cost was calculated from the Poisson distribution method. We found that requirements and unit price is the key factor that gives a significant effect. Conclusion: These three kinds of methods can be used as a basis for Maintenance Float calculation. Among them, the calculation method based on CSP is optimal replacement equipment requirements calculation method.

한국 환율제도의 변화가 국내물가상승에 미치는 영향: 일본 및 호주와의 비교분석 (Korean Exchange Rate Regime Change and Its Impact on Inflation in Comparison to Japan and Australia)

  • 이병주
    • KDI Journal of Economic Policy
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    • 제28권1호
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    • pp.193-218
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    • 2006
  • 본 논문은 한국의 근본적인 거시경제변수가 두 가지 다른 환율제도(자유변동 환율제도와 시장평균 환율제도)하에서 어떻게 다르게 반응하는가를 분석 연구한다. 이와 아울러 같은 기간 동안의 일본과 호주의 거시경제구조에 대한 비교 분석도 곁들인다. 한국은 1997년의 경제위기를 전후하여 환율정책을 시장평균 환율제도에서 자유변동 환율제도로 전환하였다. 이 시점을 계기로 한 한국의 외환정책 변경은 두 가지 환율제도를 비교 분석하는 데 아주 좋은 기회를 제공한다. 화폐경제이론에 기초한 환율결정 모델을 사용하여 대미환율과 거시경제변수에 대한 관계를 분석해 본 결과, 대미환율은 시장평균 환율제도하에서보다 자유변동 환율제도하에서 근본적인 거시경제변수에 더 민감하게 반응하는 것으로 나타났다. Impulse Response Analysis 분석결과에 의하면, 환율변동이 물가상승률에 미치는 영향은 시장평균 환율제도하에서 보다 자유변동 환율제도하에서 단기적으로 더 큰 것으로 나타났다. 이러한 결론은 개발도상국가에서는 안정적인 관리 환율제도가 경제성장을 위해 필요하다는 일반적인 견해와 일치하는 것이다.

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스마트폰 가치의 사용자 인식에 관한 연구 -대학생을 중심으로- (The User's Recognition for Smart Phone's Value In the Perspective of University Students)

  • 문송철;안연식
    • 융합보안논문지
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    • 제11권3호
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    • pp.55-66
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    • 2011
  • 스마트폰(smartphone)은 PC와 같은 기능과 더불어 급 기능을 제공하는 휴대전화이다. 소비자들이 어떤 제품이나 서비스를 선택하는데 있어서 기본적으로 고려하는 것이 제품이나 서비스의 본질적 가치라고 한다면 네트워크 외부성 측면에서의 가치도 소비자의 제품 또는 서비스의 선택에 큰 영향을 미치고 있다. 지금까지 네트워크 외부성에 대한 경제학적 측면의 연구가 진행되어왔으나 마케팅적 측면에서의 연구는 부족한 편이다. 따라서 본 연구는 소비자(제품사용자)의 만족도와 지속적 사용의도에 스마트폰의 본질적 가치, 네트워크 가치 등의 제품의 가치가 영향을 미치는지 연구하였다. 전반적인 분석 결과에서 나타난 것은 전통적으로 모바일폰의 구입이나 재사용에서 중요하다고 할 수 있는 본질적 가치보다는 스마트폰에서는 네트워크 가치가 영향요인으로 파악되었다. 본 연구에서는 스마트폰의 기능을 많이 사용하고 또 잘 사용할 것으로 판단하여 20대 대학생들을 대상으로 연구하여 스마트폰의 가치가 사용만족도와 지속적 사용 의도를 파악할 수 있었다. 스마트폰의 통화료는 사용자만족도에 영향을 미치는 것으로 나타났다. 스마트폰의 액정도 사용자만족도에 영향을 미치는 것을 나타났고 크기와 무게는 스마트폰의 사용자만족도에 영향을 미치지 않는 것으로 나타났다. 액정의 해상도 및 디자인 등이 더 중요하다는 것으로 분석된다.

수정오차모형을 통한 중앙아시아 체제전환국들의 FDI 결정요인 분석 (Determinants of FDI in Transition Countries of Central Asia with VECM)

  • ;최창환
    • 통상정보연구
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    • 제18권1호
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    • pp.107-127
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    • 2016
  • 본 연구에서는 몽골, 카자흐스탄, 우즈베키스탄, 키르기스스탄, 타자가스탄, 투르크메니스탄 등 중앙아시아 의 FDI 결정적 요인들에 대해 실증분석을 통해 이를 확인하고자 한다. 1993년~2013년까지 자료를 사용하여, GDP, 총 자본형성, 임금, 노동인구, 무역개방도, 사회간접자본, 부존자원 등의 변수를 중심으로 실증분석을 실시한 결과 총 자본형성, 무역개방도, 정치안정성 변수들은 FDI 유입에 중요한 결정요인이며, 반면에 GDP, 임금, 노동인구, 사회간접자본, 부존자원 변수가 유의하지 않는 것을 확인하였다. 실증연구를 바탕으로 지속적인 경제성장을 위한 FDI 유입을 촉진하기 위해서는 먼저 정치적 안정성과 투명성을 확보해야 하며, 관련 인프라 구축에 정책의 우선순위를 두며, 기술학교 설립 등을 통한 고급인력 양성에 주력해야 할 것이다.

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중국관광객의 메뉴개발을 위한 시장세분화에 관한 연구 (A Study of Market Segmentation for Menu Evaluation of Chinese Tourist)

  • 강진희;정용주;최안효
    • 한국조리학회지
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    • 제7권2호
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    • pp.157-179
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    • 2001
  • Today the number or Chinese tourist visiting Korea is expected by 60% more than the number of them in the last year trunks to Chinese government's new policy on opening international trip. Overriding the striking perception of the new Chinese tourism market, the pre-research on this matter is not remarkable so far. It is expected that the theoretical base on the subject should be concrete. the purpose of the article is to provide the out-and-out information including the chinese market, the change of circumstance in China. Futhermore the study is proposed to offer valuable factor evaluating Chinese tourist to choose Korean restaurant and the relational consideration of the menu between estimation and satisfaction at the restaurant during their stay in Korea. In order to achieve the purpose of this paper, it is gore ahead of the literature review including the previous research on the menu of Hotel & Restaurant The major field research is to build a frame of the paper and present the model to release my humble theory. The 1imitation of the study was to make much of the literature basis due to insufficient previous research on the issue, The study would be framed into 6parts 1ike introduction, literature review, analysis of present coalition in China, major study including exploitative research, suggestion and dissuasions & conclusion. After the exploitative research, the study was approached to make findings through the questionnaires designed to find the relationship factor between chinese tourist's evaluation and satisfaction in the Hotel and Restaurant. According to the finding, chinese tourist tend to prefer the group ranging resonable-price and Japanese dishes to other group. They also interested the certain recipe including fish and vegetable. The evaluation menu is directly related to the satisfaction of Chinese tourist and we need a substantial managerial insight on it when the menu is already designed.

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생명공학기술 사용에 대한 소비자의 위험인지가 우유소비에 미치는 영향분석: 여성과 남성의 위험인지 및 소비행위 비교분석 (Consumer Risk Perceptions and Milk Consumption associated with Food-Related Biotechnology: Exploring Gender Differences)

  • 유소이
    • 대한가정학회지
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    • 제38권12호
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    • pp.29-45
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    • 2000
  • The purposes of this study were to determine what factors influence risk perceptions of females and males for milk produced using food-related biotechnology, to test whether risk perceptions or other factors influence self-protection actions and to estimate milk demand response in light of self-protection actions and other economic and demographic factors. The expected utility model was applied to explain the way consumers would take self-protection actions regarding risk perceptions and to drive milk demand. Telephone interviews were conducted and the data were collected from households(females=1,029, males=437) nationwide in the U.S. And the data were analyzed by Heckman two-step method using the software package LIMDEP. Risk perceptions were found to be influenced not by demographic factors but by outrage factors as well as attitudinal factors in both females and males, although some factors were different. In addition, risk perceptions and labeling availability were found to significantly influence self-protection actions in both groups. Furthermore, as an important concern in this study, self-protection action was found to significantly influence milk demand in only male group, implying a consistent behavior of males. Also milk price and household size were found to significantly influence milk demand in both groups. In fact, the results did demonstrate that labeling availability significantly influenced self-protection actions. That is, in markets where labeled laternatives were present, concerned consumers were more likely to self protect by substituting to these products. A policy implication of this result is that labeling food products produced using biotechnology enhances consumer choice. Hence, consumer could express a more accurate demand response and reduce the perceived food safety risk. Furthermore, education for females might be necessary to have a consistent behavior because self-protection action did not significantly influence female's milk demand, though they have greater risk perceptions than males have.

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