• Title/Summary/Keyword: 감성경영

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An Analysis of Relationship between Social Sentiments and Cryptocurrency Price: An Econometric Analysis with Big Data (소셜 감성과 암호화폐 가격 간의 관계 분석: 빅데이터를 활용한 계량경제적 분석)

  • Sangyi Ryu;Jiyeon Hyun;Sang-Yong Tom Lee
    • Information Systems Review
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    • v.21 no.1
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    • pp.91-111
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    • 2019
  • Around the end of 2017, the investment fever for cryptocurrencies-especially Bitcoin-has started all over the world. Especially, South Korea has been at the center of this phenomenon. Sinceit was difficult to find the profitable investment opportunities, people have started to see the cryptocurrency markets as an alternative investment objects. However, the cryptocurrency fever inSouth Korea is mostly based on psychological phenomenon due to expectation of short-term profits and social atmosphere rather than intrinsic value of the assets. Therefore, this study aimed to analyze influence of people's social sentiment on price movement of cryptocurrency. The data was collected for 181 days from Nov 1st, 2017 to Apr 30th, 2018, especially focusing on Bitcoin-related post in Twitter along with price of Bitcoin in Bithumb/UPbit. After the collected data was refined into neutral, positive and negative words through sentiment analysis, the refined neutral, positive, and negative words were put into regression model in order to find out the impacts of social sentiments on Bitcoin price. After examining the relationship by the regression analyses and Granger Causality tests, we found that the positive sentiments had a positive relationship with Bitcoin price, while the negative words had a negative relation with it. Also, the causality test results show that there exist two-way causalities between social sentiment and Bitcoin price movement. Therefore, we were able to conclude that the Bitcoin investors'behaviors are affected by the changes of social sentiments.

Multi-Label Classification Approach to Effective Aspect-Mining (효과적인 애스팩트 마이닝을 위한 다중 레이블 분류접근법)

  • Jong Yoon Won;Kun Chang Lee
    • Information Systems Review
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    • v.22 no.3
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    • pp.81-97
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    • 2020
  • Recent trends in sentiment analysis have been focused on applying single label classification approaches. However, when considering the fact that a review comment by one person is usually composed of several topics or aspects, it would be better to classify sentiments for those aspects respectively. This paper has two purposes. First, based on the fact that there are various aspects in one sentence, aspect mining is performed to classify the emotions by each aspect. Second, we apply the multiple label classification method to analyze two or more dependent variables (output values) at once. To prove our proposed approach's validity, online review comments about musical performances were garnered from domestic online platform, and the multi-label classification approach was applied to the dataset. Results were promising, and potentials of our proposed approach were discussed.

The Impact of Logo Design on Brand Association and Consumer Emotions (로고디자인이 브랜드 연상과 소비자 감성에 미치는 영향에 관한 연구)

  • Kim, Jeong-Yeol;Lee, Jae-Yeon
    • Journal of Industrial Convergence
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    • v.5 no.2
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    • pp.33-51
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    • 2007
  • environmental has given rise to a world where consumer persue satisfaction in quality and quantity of products. From this point of view, a study of the impact of logo design on brand association and consumer emotions is very important and useful. For this study, we investigate on the basis of preceding studies. Finally, it is thought that it will be necessary to conduct a more specific study on the relation between brand association and consumer emotions.

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A Study on Influence of Foodservice Managers' Emotional Intelligence on Job Attitude and Organizational Performance (급식관리자의 개인적 감성지능이 직무태도 및 조직성과에 미치는 영향)

  • Jung, Hyun-Young;Kim, Hyun-Ah
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.39 no.12
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    • pp.1880-1892
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    • 2010
  • The purposes of this study were to: a) provide evidence concerning the effects of emotional intelligence on job outcomes, b) examine the impacts of emotional intelligence on employee-related variables such as 'job satisfaction', 'organizational commitment', 'organizational performance', and 'turnover intention' c) identify the conceptual framework underlying emotional intelligence. A survey was conducted to collect data from foodservice managers (N=231). Statistical analyses were completed using SPSS Win (16.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, cluster analysis and AMOS (16.0) for confirmatory factor analysis and structural equation modeling. The concept of emotional intelligence (EI) has been on the radar screens of many leaders and managers over the last several decades. The emotional intelligence is generally accepted to be a combination of emotional and interpersonal competencies that influence behavior, thinking and interaction with others. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions correlated significantly with age. The means of job satisfaction score were above the midpoint (3.04 point) scale. The organizational commitment score was above the midpoint (3.41 point) scale and was higher at 'loyalty' factor than 'commitment' factor. The means of organizational performance score were above the midpoint (3.34) scale. The correlations among the four EI (emotional intelligence) factors were significant with job satisfaction; organizational commitment, organizational performance and turnover intention. The test of hypothesis using structural equation modeling found that emotional intelligence produced positive effects on job attitude and job performance. Emotional intelligence enhanced organizational commitment, and in turn, managers' attitude produced positive effects on organizational performance; emotional intelligence also had a direct impact on organizational performance. This study has identified the effect of emotional intelligence on organizational performance and attitudes toward one's job.

A physiological approach to the effect of emotion on time series judgmental forcecasting EEG and GSR

  • Lim, Joa-Sang;Whang, Min-Cheol;Park, Hung-Kook;Lee, Hyun-Sook
    • Science of Emotion and Sensibility
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    • v.1 no.1
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    • pp.123-133
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    • 1998
  • 시계열 예측은 효과적인 기업 경영에 반드시 필요한 활동이지만, 이와 관련 인간의 인지처리 과정에 대한 연구는 아직까지 미비하다. 본 연구는 인간 감성이 시계열 예측에 미치는 영향을 탐색하였다. 본 실혐에서는 반복을 통한 2(감성) x 2(횟수) 팩토리얼 설계를 채택하였다. 감성은 청각, 시각, 후각자극을 통해 환경을 조성하고 준비된 시나리오를 연상케하여 유발시켰다. 12명의 대학, 대학원생이 실험에 참여하였으며, 감성의 영향을 탐색하기 위해 뇌파(EEG)와 피부저항(GSR)이 후두엽(Oz)과 전두엽(Fz)에서 측정되었다. 그 결과 인간의 감성은 예측에 유의적인 영향을 보였다. 즉, 피험자가 부정적인 감성을 갖을 때 긍정적인 감성에 비해 예측의 정확성이 높은 경향이 있었다. 그 이유는 부정적 감성일 경우 전두엽에서 베타가 많이 출현하였고, 이는 시계열 예측의 정확도를 향상시키는 역할을 하였다.

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The Case Study of Emotional Marketing by visual design (디자인을 통한 감성마케팅의 실증적 성공사례 연구 - 마블 프라이팬 사례 조사를 통한 -)

  • Kang, Bum-Kyu;Ye, Min-Ju
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2007.05a
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    • pp.74-76
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    • 2007
  • 기업 디자인과 마케팅의 새로운 패러다임 중의 하나는 인간의 감성이 기업의 중요한 마케팅의 수단으로 등장하고 있는 것이다. 이에 본 연구는 감성에 대한 고찰을 바탕으로 감성디자인을 전략적인 도구로 사용한 감성 마케팅 사례를 연구, 소개하고자 한다. 그리고 무엇보다 이론적인 고찰 보다는 실증적인 사례로써 감성 디자인을 통한 감성 마케팅을 적용한 마블 코팅 프라이팬 제품 매출과 시장 점유율에 미치는 영향을 소개하고자 한다. 본 연구의 연구방법은 아래와 같다. 첫째, 선행 연구와 문헌 조사를 통한 감성 디자인과 감성마케팅의 정의를 알아보았다. 둘째, 경험적 조사(Empirical research method)에 의한 연구 가설과 연구문제들을 설정하고, 셋째, 기업의 실증적 자료, 기업의 임원 및 매니저들과의 인터뷰(Interview)와 제품 사용자의 설문조사(Questionnaire)를 통해 본 연구의 목적인 '연구가설'을 검증하고 '연구문제들'의 결론을 돌출하는 방법으로 연구가 진행 되었다. 이러한 일련의 연구를 통해 궁극적으로는 감성디자인을 통한 전략적 감성 마케팅의 성공사례를 소개하고, 그 가치를 재평가하여, 앞으로 감성 디자인과 감성 마케팅의 전략적 차원에 도입하려는 기업인이나 연구자에게 도움을 주는데 그 연구목적이 있다.

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Sentiment Analysis and Star Rating Prediction Based on Big Data Analysis of Online Reviews of Foreign Tourists Visiting Korea (방한 관광객의 온라인 리뷰에 대한 빅데이터 분석 기반의 감성분석 및 평점 예측모형)

  • Hong, Taeho
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.187-201
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    • 2022
  • Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.

Three-dimensional sensitivity design pattern development of Mobile Metal Case which used EF(INNET) (E/F(INNET)을 이용한 Mobile Metal Case의 3차원 감성 디자인패턴 개발)

  • Cheon, Sang-Hyeon;Ji, Sang-Won
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2009.11a
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    • pp.20-24
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    • 2009
  • Mobile의 기술발달과 보편화에 따라 소비자들은 Mobil이 자기 개성 표현인 액세서리화되고, 더욱 감성적이고 차별화된 디자인을 요구함에 따라, 기업들은 이런 소비자들의 개성화 감성화의 니즈를 표면처리 디자인 기술로 효율적으로 적용해 소비자의 감성만족을 시키려 하고 있다. 국내외 Mobile 시장에서 Metal Case 외장의 2차원적인 디자인패턴은 다양한 표면처리 가공 접근이 용이하지 못하고, 패턴디자인의 한계에 이르렇다. E/F(INLET)의 도금 가공 기술의 Concept은 "원활한 모재의 제품 박리성" 에 있으나, 역발상으로 "Metal 모재와의 밀착성"으로 제품디자인을 구현하여, 제품의 도금 두께층 및 신뢰성 기술 확보함으로, 표면층에 사진, 그림, 인물 풍경, 자연물이미지 등의 다양한 감성디자인패턴의 구현이 가능해졌다. 산업기술자원부의 디자인혁신센터로 중소기업디자인개발 지원을 위해 설립된 중앙대학교 디자인경영센터와 SR I-TECH의 기술력으로 3차원 감성디자인패턴을 개발하게 되었다.

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