행정자료 / 국경을 초월한 인류애

김치운 대한지방행정공제회 1975 地方行政 Vol.24 No.256

농산물 가격 책정방식에 따른 소비자 잉여 비교분석 :

김치운(Chi un Kim) 양승룡(Seung Ryong Yang) 한국농식품정책학회 2017 농업경영정책연구 Vol.44 No.2

Consumer cooperatives usually adopt the fixed price policy for highly price volatile agricultural products. Economic theories suggest that consumers are better off when the market prices are high due to short supply or strong demand. However, consumers often complain about the fixed price policy when the market prices are low and stable. The objective of this study is to analyze which is more beneficial between floating pricing policy and fixed pricing policy for consumers in terms of the welfare perspective. For this, we conduct a Monte Carlo simulation and compare consumer surpluses from both pricing policies. The results show that the fixed prices provide higher welfare for consumers, as the economic theory suggests. The risk premium to accept the floating prices is estimated around 7 percent for the sample products. The results give some implications about the value of the government policies for price stability.

인터넷 구전 정보가 전자상거래 생방송에서 소비자 구매 의도에 미치는 영향

추장운,왕서일,김치용 한국멀티미디어학회 2022 멀티미디어학회논문지 Vol.25 No.2

In recent years, Internet Word of Mouth (IWOM) as an important way for internet consumers to obtain product information, it has become a key factor influencing consumers purchase intention. However, does IWOM also affect consumers’ willingness to buy in the E-commerce live broadcast environment? What online IWOM can make a difference? And how? This study establishes a theoretical model of the impact of IWOM on consumer purchase intention in Chinese E-commerce live broadcast. Questionnaire data were collected from 204 people through the internet, with the model and the hypotheses are tested by SPSS 21.0 software. The research results show that: Firstly, the influencing factors of IWOM in the E-commerce live broadcast are different from those in general E-commerce. Secondly, anchor traits, word of mouth quantity, and product involvement have a positive impact on consumers purchase intentions, but the strength of relationship, word of mouth quality and Word of mouth timeliness do not have significantly direct effect on consumers’ purchase intentions. Finally, conclusion with theoretical references and practical suggestions for E-commerce live broadcast merchants that may enter the Chinese market.

전자상거래 생방송에서 IWOM이 소비자 구전 의도에 미치는 영향 연구

추장운,장온,김치용,Zou, ChangYun,Zhang, Yun,Kim, CheeYong 한국멀티미디어학회 2022 멀티미디어학회논문지 Vol.25 No.9

This study will be an exploratory study from the perspective of IWOM on the intention of word-of-mouth transmission. And based on 256 questionnaire survey data of E-Commerce live broadcast consumers, structural equation modeling is used to explore the paths and mechanisms of influence of consumers' perceived IWOM and perceived value on oral transmission intention in China's E-Commerce live broadcast. The results found that consumers' perceived IWOM had a positive effect on perceived usefulness and perceived entertainment, and that perceived usefulness had a positive effect on purchase intention while perceived entertainment had no direct effect on word-of-mouth transmission intention. Perceived IWOM also indirectly influences willingness to pass on word-of-mouth by affecting perceived value. Among them, the mediating effect of perceived usefulness in the path of perceived network influence on word-of-mouth transmission intention is greater than that of perceived entertainment.

퍼지 논리를 이용한 색채 기반 감성 분석

우영운,김창규,김치용 한국디지털콘텐츠학회 2008 한국디지털콘텐츠학회논문지 Vol.9 No.2

Psychology of color is a research field of psychology for studying human's behavior connected with color. Color carries symbolism and image while sharing psychological consensus with human. Each color has a respective image such as hope, passion, love, life, death, and so on. Peculiar stimuli by colors on these images have great influence on human's emotion and psychology. We therefore proposed a method for understanding human's state of emotion based on colors in this paper. In order to understand human's state of emotion, we analyzed color information used to model a room by a user and then described frequencies of each color as percent using fuzzy inference rules by membership values of fuzzy membership functions for colors used for modeling the room. When we applied the proposed color-based emotion analysis method to emotional state based on colors of Alschuler and Hattwick, we could see the proposed method is efficient. 색채 심리학은 색채와 관련된 인간의 행동을 연구하는 심리학의 한 분야이다. 색채는 상징성과 이미지를 지니는 동시에 인간과 심리적 교감을 나눈다. 각 색채는 희망, 열정, 사랑, 생명, 죽음 등 다양한 이미지를 갖고 있다. 여기에 각 색깔이 주는 독특한 자극은 인간의 감성과 심리에 큰 영향을 미치고 있다. 따라서 본 논문에서는 사용자가 방 모델링을 하고 그 모델링에 사용된 색상 정보를 분석하고 퍼지소속 함수를 적용하여 소속도를 구한 후, 그 소속도를 퍼지 추론 규칙에 적용하여 각 색채의 빈도수를 백분율로 나타낸 후 그 색채에 따른 인간의 감성 상태를 파악하는 기법을 제안하였다. 제안된 색체 기반 감성 분석 기법을 알슐러와 해트윅(Alschuler and Hattwick)의 색채에 따른 감성 상태에 적용한 결과, 제안된 기법이 효율적인 것을 확인하였다.

전자상거래 생방송에서 IWOM과 구매의도의 관계에서 상호작용의 매개역할

추장운,김치용 한국멀티미디어학회 2022 멀티미디어학회논문지 Vol.25 No.2

In China, E-commerce live broadcast has emerged as the most popular and innovative online shopping form for today's consumers, and its "real-time interactive" feature can compensate for the communication delays of general online shopping. Based on the author's previous research it has been demonstrated that, in the E-commerce live broadcast environment, Internet Word of Mouth (IWOM) has become an important reference for consumers when making purchases. In this paper, we reconstructed the "IWOM-Purchase Intentions" model and use interaction (Auchor-Audience and Audience-Audience) as a mediating variable to empirically investigate the impact of IWOM on purchase intentions in E-commerce live broadcast. The data were collected through a questionnaire survey of individuals who had experience in E-commerce live broadcast and 250 valid data were obtained and analyzed by SPSS21.0. The results show that: the interaction (Auchor-Audience) acts as a mediator between IWOM (strength of relationship; word-of-mouth quality and word-of-mouth timeliness) and purchase intention; And the interaction (Audience-Audience) acts as a mediator between word-of-mouth timeliness on purchase intention, but has no significant mediation on the impact on the strength of relationship and word-of-mouth quality to purchase intention. On this basis, recommendations are made for the implementation of IWOM marketing strategies for E-commerce live broadcast platforms and anchors.

전자상거래 생방송에서 IWOM 전보와 구전 의도의 영향: 제품 관여도의 조절 역할

추장운,왕서일,김치용 한국멀티미디어학회 2022 멀티미디어학회논문지 Vol.25 No.5

The pandemic of COVID-19 has led “E-commerce+ Live streaming", the new form of retail business, development rapidly. And more and more consumers choose to buy commodities in E-commerce live streaming. According to the related investigation at home and abroad, the purchase intention and WOM intention are two important measuring factors of the effect of the direct transmission of e-commerce. In previous research, the author proved that IWOM has become an important reference for consumers to make online purchases. In this study, the author mainly focus on the impact of online WOM on consumer intention. Based on the Involvement Theory, this paper proposes a model of the influence of IWOM on WOM intention in e-commerce live broadcast which is adjusted by the product involvement degree. The results show that the characteristics of anchor, the quantity and quality of IWOM, the prescription of IWOM, the difference of IWOM and the intention of WOM are positively regulated by the product involvement. However, product involvement did not play a moderating role between relationship strength and WOM intention.

공공예술의 기본 특성에 따른 이용자 만족도 영향요인 연구-공항 공공예술을 중심으로

장온,추장운,김치용,Zhang, Yun,Zou, ChangYun,Kim, CheeYong 한국멀티미디어학회 2022 멀티미디어학회논문지 Vol.25 No.8

With the sustainable development and transformation of the city, public art as a business card of the famous city of culture has become a hot topic of research. The intervention of public art in public space not only brings users a sense of space experience, but also becomes a unique carrier of urban and rural image making. Although there is much research on the classification, aesthetics and function of public art, there is few quantitative research on user satisfaction. This paper takes the basic features of airport public art as a research object and the basic features of airport public art as the theoretical basis to study the impact of the basic characteristics of airport public art on user satisfaction. Research methods were based on questionnaire data of 247 people, in which models and hypotheses were tested using SPSS 21.0 software, based on the induction and extraction of nine influential factors in the basic characteristics of public art. The study found that public interpretation, media patterns, color perception, modeling form, place perception, city image and memory have significant positive effects on user satisfaction. The sharedness of public art, cognition and communication in public culture and spatial relations do not affect satisfaction. Conclusion, inspiration and prospect provide suggestions for designers and reference data and theoretical support for public art evaluation.

대파 도매가격 예측모형 고도화 방안

김재휘,김치운,노호영 경상국립대학교 농업생명과학연구원 2023 농업생명과학연구 Vol.57 No.4

The purpose of this study is to compare the price forecasting of green onion through ARIMA, Holt-Winters, and Random forest. Afteranalyzing three forecasting models, ARIMA, consisting three year period (36months), shows the highest forecasting result. Also, ARIMAand Holt-Winters using daily data shows higher forecasting result rather than monthly data, because over-fitted from the daily data decreasethe forecasting result. On the other hand, Random forest using daily data show higher forecasting results than monthly data, meaningthat the more it learned from the data, the higher forecasting result it has. Therefore, it could be desirable to find certain variables affectingthe forecasting of machine learning, and accumulate reasonable test data. The result gives some implications that adapting the reasonablevariable to machine learning and Deep learning will be able to show higher forecasting results for other agriculture product price. 본 연구에서는 대파의 가락시장 도매가격을 이용하여 기존 시계열 모형인 ARIMA 모형, 홀트-윈터스 평활법과 대표적인 기계학습 방법인랜덤 포레스트(Random forest) 분석 기법의 가격 예측력을 비교하였다. 세 모형의 예측력을 분석한 결과는 다음과 같다. 가장 예측력이 높게나타난 모형은 3년(36개월)을 주기로 설정한 ARIMA 모형이었다. 또한 ARIMA 모형과 홀트-윈터스 평활법은 일별 데이터보다 월별 데이터를이용한 예측 결과의 정확도가 더 높아 훈련 데이터에 대한 과적합(overfitting)이 오히려 예측력을 낮추는 현상을 보였다. 반면, 랜덤 포레스트는월별 데이터 보다 일별 데이터를 사용한 모형의 예측력이 더 높았다. 이는 학습량이 많을수록 높은 예측력을 보여주는 기계학습의 특징을 보여주었다. 그러나 기계학습 방법을 활용한 가격 예측에는 가격에 영향을 주는 설명변수를 찾고, 양질의 훈련 데이터 축적이 필요하다는 것을 알 수 있었다. 향후 연구에서는 다양한 설명변수와 기계학습 및 딥러닝 기법을 적용한다면 농축산물 가격 예측력을 높이는데 도움이 될 것으로 판단된다.

제11장 양념채소 수급 동향과 전망

노호영,신성철,노수정,김다정,김치운 한국농촌경제연구원 2023 한국농촌경제연구원 기타연구보고서 Vol.- No.-