• Title/Summary/Keyword: 뉴욕주

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Means-End Chain Approach to Understand Consumer Motivation Towards Convenience Meat Products: Focus on New York City in US Market (수단-목적 사슬 이론을 적용한 소비자의 육류 편의제품에 대한 가치 측정: 미국 뉴욕 지역을 중심으로)

  • Jung, Yoojin;Lee, Min-A;Cho, Eun Kyoung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.1
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    • pp.152-159
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    • 2015
  • The purpose of this study was to analyze how consumers make links between convenience meat products and self-relevant consequences and value. Surveys on convenience meat product consumption patterns and hard laddering based on means-end chain theory were conducted from April 21 to April 25, 2014 and targeted 200 consumers in the US. The most preferred cooking method of convenience meat product was roast (25.9%) and the most common information medium was suggestions by friends and parents (37.1%). The main as well as desired places of purchasing were both the supermarket (33.6% and 27.3%, respectively). The most preferred promotion method was free sample events (38.5%). From analyzing means-end chains of convenience meat products, the most dominant value chain was 'taste (A)'-'good taste (C)'-'feel good (V)'. These results show that consumption of convenience meat products will increase when consumer expectations of taste and satisfaction are met. Further, results of the value measurement provide information on consumer satisfaction and needs and can be applied to set marketing strategies for Korean style convenience meat products.

Research on Application of Spatial Statistics for Exploring Spatio-Temporal Changes in Patterns of Commercial Landuse (상업적 토지이용 패턴의 시공간 변화 탐색을 위한 공간통계 기법 적용 연구)

  • Shin, Jung-Yeop;Lee, Gyoung-Ju
    • Journal of the Korean Geographical Society
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    • v.42 no.4
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    • pp.632-647
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    • 2007
  • Lots of geographic phenomena have dynamic spatial patterns with time changes, and there have been lots of researches on exploring these dynamic spatial patterns. However, most of these researches focused on the static pattern analysis in a given period, rather than dealing with dynamic changes in the spatial pattern over time with the continual or cumulative perspective. For this reason, investigation of the inertia of spatial process in terms of temporal changes is needed. From this background, the purpose of this paper is to propose the methodology to explore the changes in spatial pattern cumulatively by considering the inertia of the spatial statistics over time, and to apply it to the case study That is, we introduce the new spatial statistic, and produce the z-values of the statistic using Monte Carlo Simulation, and then to explore the changes in spatial patterns over time cumulatively. To do this, the method to combine the J statistic with CUSUM statistic for exploring spatial patterns, and to apply it to the changes in the commercial landuse in Erie County, New York State. Through the proposed method for spatio-temporal Patterns, we could explore continual changes effectively in the spatial patterns reflecting the statistics by temporal spot cumulatively.

The Cultural Status and the Industrial Prospects on Blueberry (블루베리 재배 현황 및 사업화 전망)

  • Song, Gi-Cheol
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2012.05a
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    • pp.9-9
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    • 2012
  • 블루베리는 진달래 과(Ericaceae) 산앵도나무 속(Vaccinium)의 낙엽성 또는 상록성의 저수고성 또는 반교목성의 과수로, 뉴욕 타임즈가 선정한 세계 10대 장수식품의 하나로 알려져 있다. 우리나라에는 전부터 정금나무, 월귤나무, 모새나무, 산앵도나무 등이 자생하고 있으나, 경제적인 가치가 있는 종은 Vaccinium Cyanococcus로 북미지역에서 육성된 품종들이 들어와 재배되고 있다. 처음 도입된 해는 1965년경으로 지금도 40년 이상 된 나무들이 있고, 상업적으로 재배되기 시작한 것은 2000년이고 공식적인 연구는 2004년 국립원예특작과학원에서 시작되었다. 한국블루베리협회 소식지에 주기적으로 기록되기 시작한 재배면적은, 2007년 112ha, 2008년 217ha, 2009년 313ha, 2010년 534ha이었다가 2011년 1,082ha로 크게 증가하였다. 시도별 재배면적은, 전북이 254ha로 가장 많았고, 충남 186ha, 전남 169ha, 경북 157ha, 충북 118ha, 경기 90ha, 경남 58ha, 강원 47ha, 제주 4ha 순이었다. 특히 2010년부터 2011년까지 한 해 동안 블루베리 재배면적이 크게 증가한 것은 각종 언론매체에서 블루베리 기능성에 대한 홍보와 소비자의 인식 증가와 더불어 새로운 소득 작물로 농가 수요가 확대되었기 때문이다. 이는 블루베리 묘목의 수입이 2009년 327천주에서 2010년 702천주로 크게 증가한 것으로도 알 수 있다. 아울러, 국내로 수입되는 냉동과, 건조과의 수입량도 큰 폭으로 증가하였다. 냉동 블루베리 수입량은 2009년 812톤에서 2010년 4,700톤으로 대폭 증가하였는데, 주요 수입 국가는 미국(3,931톤), 캐나다(557톤), 프랑스(70톤), 태국(18톤), 중국(16톤) 등으로 주스 등 가공품 시장의 수요 증가에 따른 것이다. 건조 블루베리의 수입도 2009년 14톤에서 2010년 54톤으로 증가하였다. 2011년 국내산 블루베리 가격은 생과 1kg에 40,000~50,000원선이었으나 35,000원에 판매하는 농장도 있었고, 냉동과를 62,000원도 판매하는 농장도 있었다. 미국 오레곤 주에서 생산한 블루베리 생과가 금년 7월부터 91톤에서 227톤 정도 수입될 것으로 예상된다. 블루베리의 국내 생산량이 많아지고 수입까지 되면, 농업인들은 더욱 품질 좋은 과실을 생산하도록 노력해야 하고, 잼, 식초, 와인 등의 가공식품 외에 과자, 케익, 머핀 등 베이커리용으로 많이 소비되도록 하며, 지역의 다른 상품들과 연계하여 찾아가고 싶은 관광 개발 등으로 소비 촉진을 위해 고심해야 할 것이다.

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Sustainable Urban Industrial Space Policy: Experiences and Implications from US Cities (지속가능한 도시산업공간 정책 -미국 주요 도시의 경험과 시사점-)

  • Kim, Jin-Oh;Park, Jeong-Il
    • Journal of the Korean Regional Science Association
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    • v.36 no.3
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    • pp.53-65
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    • 2020
  • This study attempted to seek policy directions for development of sustainable urban industrial space through reviewing recent policies and projects of US cities that experienced urban industrial land replacement and industrial suburbanization. The policies and regulations for the urban industrial space preservation include the New York City's Industrial Business Zone, Chicago's Planned Manufacturing District, the no-net-loss framework in San Jose, and the subdivided and the state of the art in zoning systems in Philadelphia and Seattle. These policies and zoning systems have been effective for preventing the conversion of urban industrial lands to other uses, promoting business activities, and creating jobs for urban residents. In addition, the updated and innovative zoning systems allow for a wide variety of urban industrial spaces to meet newly emerging industrial demands. On the other hand, we suggested several policy implications through reviewing the cases of urban regeneration projects in Portland's Willamette Industrial Urban Renewal Area, Atlanta's BeltLine, and Milwaukee's Menomone Valley as follows: 1) updating and reinforcing spatial planning and policies for preservation and revitalization of urban industrial land; 2) considering existing businesses and local workers first; 3) setting up a participatory planning for local workers and residents; 4) preparing policies for brownfield cleanups.

An Exploratory Study on the Characteristics of the 'Global Unicorn Club' and the Factors Influencing its Valuation: Focusing on the 'Unicorn Club' in 2019 ('글로벌 유니콘 클럽' 기업의 특성 및 기업가치 영향 요인에 대한 탐색적 연구: 2019년 '유니콘 클럽' 기업을 중심으로)

  • Lee, Young-Dall;Oh, Soyoung;Yoon, Yoni
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.6
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    • pp.1-26
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    • 2020
  • The term 'Unicorns' in the corporate ecosystem was firstly introduced by Aileen Lee in 2013. It has been actively discussed in South Korea particularly to compare the level of the 'start-up ecosystem' from a global perspective. Accordingly, the Korean government has recently set a policy goal 'to nurture 20 Korean unicorn companies by 2022'. While the phenomenon of 'Unicorn Club Company' has been brought to the level of policy objectives and spread more widely to the public, existing academic research to understand its substantial and underlying implications has been insufficient. First, in this study, the characteristics of 479 'Unicorn Club' companies in 2019 were analyzed in-depth. Previous research has focused on the general status and trend by analyzing the number of unicorn companies by country and industry classifications. However, this study conducted a qualitative exploratory analysis by investigating descriptive statistics about unicorn companies, including their investors, while providing case studies. Also, cluster analysis, ANOVA, and multi-level regression were employed for quantitative exploration. The characteristics of individual companies were examined based on the "ERIS Model (Entrepreneur - Industry(Market) - Resource - Strategy Model)". Secondly, factors influencing its valuations were examined in connection with the previously analyzed characteristic variables and investor characteristics. Finally, based on these, the future direction of the "Unicorn Phenomenon" from the perspective of "Enterprise Ecosystem" and productively using it from the perspective of the public policy is suggested.

A Study on Automated Stock Trading based on Volatility Strategy and Fear & Greed Index in U.S. Stock Market (미국주식 매매의 변동성 전략과 Fear & Greed 지수를 기반한 주식 자동매매 연구)

  • Sunghyuck Hong
    • Advanced Industrial SCIence
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    • v.2 no.3
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    • pp.22-28
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    • 2023
  • In this study, we conducted research on the automated trading of U.S. stocks through a volatility strategy using the Fear and Greed index. Volatility in the stock market is a common phenomenon that can lead to fluctuations in stock prices. Investors can capitalize on this volatility by implementing a strategy based on it, involving the buying and selling of stocks based on their expected level of volatility. The goal of this thesis is to investigate the effectiveness of the volatility strategy in generating profits in the stock market.This study employs a quantitative research methodology using secondary data from the stock market. The dataset comprises daily stock prices and daily volatility measures for the S&P 500 index stocks. Over a five-year period spanning from 2016 to 2020, the stocks were listed on the New York Stock Exchange (NYSE). The strategy involves purchasing stocks from the low volatility group and selling stocks from the high volatility group. The results indicate that the volatility strategy yields positive returns, with an average annual return of 9.2%, compared to the benchmark return of 7.5% for the sample period. Furthermore, the findings demonstrate that the strategy outperforms the benchmark return in four out of the five years within the sample period. Particularly noteworthy is the strategy's performance during periods of high market volatility, such as the COVID-19 pandemic in 2020, where it generated a return of 14.6%, as opposed to the benchmark return of 5.5%.

Use of ChatGPT in college mathematics education (대학수학교육에서의 챗GPT 활용과 사례)

  • Sang-Gu Lee;Doyoung Park;Jae Yoon Lee;Dong Sun Lim;Jae Hwa Lee
    • The Mathematical Education
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    • v.63 no.2
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    • pp.123-138
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    • 2024
  • This study described the utilization of ChatGPT in teaching and students' learning processes for the course "Introductory Mathematics for Artificial Intelligence (Math4AI)" at 'S' University. We developed a customized ChatGPT and presented a learning model in which students supplement their knowledge of the topic at hand by utilizing this model. More specifically, first, students learn the concepts and questions of the course textbook by themselves. Then, for any question they are unsure of, students may submit any questions (keywords or open problem numbers from the textbook) to our own ChatGPT at https://math4ai.solgitmath.com/ to get help. Notably, we optimized ChatGPT and minimized inaccurate information by fully utilizing various types of data related to the subject, such as textbooks, labs, discussion records, and codes at http://matrix.skku.ac.kr/Math4AI-ChatGPT/. In this model, when students have questions while studying the textbook by themselves, they can ask mathematical concepts, keywords, theorems, examples, and problems in natural language through the ChatGPT interface. Our customized ChatGPT then provides the relevant terms, concepts, and sample answers based on previous students' discussions and/or samples of Python or R code that have been used in the discussion. Furthermore, by providing students with real-time, optimized advice based on their level, we can provide personalized education not only for the Math4AI course, but also for any other courses in college math education. The present study, which incorporates our ChatGPT model into the teaching and learning process in the course, shows promising applicability of AI technology to other college math courses (for instance, calculus, linear algebra, discrete mathematics, engineering mathematics, and basic statistics) and in K-12 math education as well as the Lifespan Learning and Continuing Education.

Classification of Public Perceptions toward Smog Risks on Twitter Using Topic Modeling (Topic Modeling을 이용한 Twitter상에서 스모그 리스크에 관한 대중 인식 분류 연구)

  • Kim, Yun-Ki
    • Journal of Cadastre & Land InformatiX
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    • v.47 no.1
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    • pp.53-79
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    • 2017
  • The main purpose of this study was to detect and classify public perceptions toward smog disasters on Twitter using topic modeling. To help achieve these objectives and to identify gaps in the literature, this research carried out a literature review on public opinions toward smog disasters and topic modeling. The literature review indicated that there are huge gaps in the related literature. In this research, this author formed five research questions to fill the gaps in the literature. And then this study performed research steps such as data extraction, word cloud analysis on the cleaned data, building the network of terms, correlation analysis, hierarchical cluster analysis, topic modeling with the LDA, and stream graphs to answer those research questions. The results of this research revealed that there exist huge differences in the most frequent terms, the shapes of terms network, types of correlation, and smog-related topics changing patterns between New York and London. Therefore, this author could find positive answers to the four of the five research questions and a partially positive answer to Research question 4. Finally, on the basis of the results, this author suggested policy implications and recommendations for future study.

U.S. FOIA(FREEDOM OF INFORMATION ACT) AND ACCESS TO INFORMATION AFTER 9/11 TERRORIST ATTACKS (9/11 테러 이후 강화된 미국 연방정부의 국가안보 정책이 정보자유법 (Freedom of Information Act) 및 연방 정보공개정책에 미친 영향)

  • Kwon, Hyuck-Bin
    • Korean Security Journal
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    • no.20
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    • pp.365-392
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    • 2009
  • The increased concern about national security in the U.S. after the 9/11 terrorist attacks has influenced public rights of access to government information and its legal foundation, the Freedom of Information Act (FOIA). Public access to government information has been restricted at the policy level by a series of legislative and executive changes in FOIA after September 11, 2001, but the examination of statistics on FOIA implementation between fiscal years 1999 and 2004 shows that the strengthened national security measures did not have a considerable impact at the implementation level during this period. These contrasting findings might be due to the public officials' informal reaction to the criticism of the restriction on public access, bureaucratic inertia, and the use of new record categories not subject to FOIA.

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Investigating the Impact of Corporate Social Responsibility on Firm's Short- and Long-Term Performance with Online Text Analytics (온라인 텍스트 분석을 통해 추정한 기업의 사회적책임 성과가 기업의 단기적 장기적 성과에 미치는 영향 분석)

  • Lee, Heesung;Jin, Yunseon;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.13-31
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    • 2016
  • Despite expectations of short- or long-term positive effects of corporate social responsibility (CSR) on firm performance, the results of existing research into this relationship are inconsistent partly due to lack of clarity about subordinate CSR concepts. In this study, keywords related to CSR concepts are extracted from atypical sources, such as newspapers, using text mining techniques to examine the relationship between CSR and firm performance. The analysis is based on data from the New York Times, a major news publication, and Google Scholar. We used text analytics to process unstructured data collected from open online documents to explore the effects of CSR on short- and long-term firm performance. The results suggest that the CSR index computed using the proposed text - online media - analytics predicts long-term performance very well compared to short-term performance in the absence of any internal firm reports or CSR institute reports. Our study demonstrates the text analytics are useful for evaluating CSR performance with respect to convenience and cost effectiveness.