• 한국식생활문화학회지
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• 제25권4호
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• pp.456-465
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• 2010

The purpose of this study was to understand the interrelationships between customers' perception of service encounter elements, customers' emotional response and customer satisfaction in a family restaurant. Based on a total of 408 samples, this study reviewed the reliability and fitness of the research model and verified a total of 4 hypotheses using the Amos program. The hypothesized relationships of the model were tested simultaneously using a structural equation model (SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=821.151 (df=333), CMIN/df 2.466, GFI .878, NFI .927, IFI .955, TLI .949, CFI .955, RMSEA .060. The results showed that human factor ($\beta$=.426) and physical factor ($\beta$=.266) as service encounter elements in family restaurants were indicated to have a positive (+) influence on customers' positive emotion. For influence of customers' negative emotion, human factor ($\beta$=-.157) was surveyed to have a negative (-) influence. Also, customers' positive emotion ($\beta$=.716) and negative emotion ($\beta$=-.081) had significant effects on customer satisfaction. Limitations and future research directions are also discussed.

• 한국조리학회지
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• 제22권3호
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• pp.166-182
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• 2016

본 연구는 패스트푸드업체 서비스 종사원의 비언어적 커뮤니케이션이 고객의 긍정적 감정-자아동일시-충성도(행동적, 태도적 충성도) 간의 감성적 경로를 검증하기 위하여 부산, 대구경북지역의 대표적 외식 패스트푸드 업체 이용객 397명의 자료를 분석에 사용하였다. 자료분석을 위해 SPSS 프로그램과 AMOS 프로그램을 사용하여 빈도분석, 탐색적, 확인적 요인분석을 거친 후, 구조방정식 모형으로 가설을 검증하였다. 실증분석결과, 첫째, 서비스종사원의 비언어적 커뮤니케이션의 3 구성요소 즉, 신체언어, 의사언어, 신체외양의 순으로 이들 모두가 고객의 긍정적 감정에 정(+)의 영향을 미치고 있는 것으로 나타났다. 둘째, 고객감정은 자아동일시에 정(+)의 영향을 미치고 있는 것으로 나타났다. 마지막으로 자아동일시는 행동적 충성도와 태도적 충성도 각각에 정(+)의 영향을 미치고 있는 것으로 나타났다. 본 연구는 주요 결과를 통해 외식업체의 감성적 충성도 구축의 경로과정을 통해 실무적 시사점과 이론적 시사점을 제시하였다.

• Journal of Information Technology Applications and Management
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• 제21권4호
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• pp.203-223
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• 2014

This study proposes a novel context-aware recommender system, which is designed to recommend the items according to the customer's responses to the previously recommended item. In specific, our proposed system predicts the user's emotional state from his or her responses (such as facial expressions and movements) to the previous recommended item, and then it recommends the items that are similar to the previous one when his or her emotional state is estimated as positive. If the customer's emotional state on the previously recommended item is regarded as negative, the system recommends the items that have characteristics opposite to the previous item. Our proposed system consists of two sub modules-(1) emotion prediction module, and (2) responsive recommendation module. Emotion prediction module contains the emotion prediction model that predicts a customer's arousal level-a physiological and psychological state of being awake or reactive to stimuli-using the customer's reaction data including facial expressions and body movements, which can be measured using Microsoft's Kinect Sensor. Responsive recommendation module generates a recommendation list by using the results from the first module-emotion prediction module. If a customer shows a high level of arousal on the previously recommended item, the module recommends the items that are most similar to the previous item. Otherwise, it recommends the items that are most dissimilar to the previous one. In order to validate the performance and usefulness of the proposed recommender system, we conducted empirical validation. In total, 30 undergraduate students participated in the experiment. We used 100 trailers of Korean movies that had been released from 2009 to 2012 as the items for recommendation. For the experiment, we manually constructed Korean movie trailer DB which contains the fields such as release date, genre, director, writer, and actors. In order to check if the recommendation using customers' responses outperforms the recommendation using their demographic information, we compared them. The performance of the recommendation was measured using two metrics-satisfaction and arousal levels. Experimental results showed that the recommendation using customers' responses (i.e. our proposed system) outperformed the recommendation using their demographic information with statistical significance.

• 복식문화연구
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• 제19권3호
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• pp.565-578
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• 2011

The purpose of this study was to examine the emotional experience dimension on the brand of the low price cosmetics and to empirically investigate the effect of emotional experience on the relationship between customers and brand. Data were collected for 10 days starting on March $2^{nd}$ 2009. Questionnaires were distributed to 517 female college students who experienced to purchase the products of the low price cosmetic brand and answers were collected. The results of analysis on collected data showed that the emotional experience was classified into sense, spatial environmental emotion, sales promotion emotion, salesperson emotion and visual/verbal identity, and emotional experience on low price cosmetic brand had a positive effect on the relationship between customer and brand. Specifically, it was showed that emotional experience on low price cosmetic brand significantly affected the customer satisfaction, brand trust and brand attachment. In terms of effect of emotional experience on customer satisfaction, the orders in the degree of influence were following: the sense, spatial environmental emotion, sale promotion emotion and salesperson emotions. In terms of effect of emotional experience on brand trust, the orders in the degree of influence were following: the sense, salesperson emotions, sale promotion emotion and spatial environmental emotion. In terms of effect of emotional experience on brand attachment, the orders in the degree of influence were following: the sense, spatial environmental emotion, salesperson emotions, visual/verbal identity and sale promotion emotion.

• 한국프랜차이즈경영연구
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• 제9권3호
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• pp.45-55
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• 2018

Purpose - Non-verbal Communication with customers in restaurant business can play an important role because it affects customer behavior and attitudes as a means to develop and maintain long-term relationships with customers. The purpose of this study is to analyze the effect of non-verbal communication with customers and the effect of the influence on customer satisfaction, trust, and revisit intention. Research design, data, methodology - In order to verify the research models and hypotheses of this study, questions were prepared for each variable and data were collected through questionnaires. The questionnaire survey was conducted from March 27, 2018 to April 17, 2018, for those who agreed with the citizens of the Jeju area who visited the restaurant recently. 50 out of 100 were conducted by internet survey and 50 were surveyed. Thus, a total of 100 responses were used using structural equation modeling with Smartpls 3.0. Results - The results of the study are as follows. First, non-verbal communication has a significant impact on customer emotion. Second customer emotion have a significant impact on customer trust and satisfaction. Third, Customer satisfaction had positive a significant effect on revisit intention. Fourth, Customer trust had positive a significant effect on revisit intention. Conclusions - The implications of this study are following as: The food service company should continuously provide non-verbal communication training to employees so that they can respond to customers with the right attitude and bright smile. In particular, in the case of restaurant franchises, customer response manuals should be created and distributed to the franchisees, and a regular training program for the franchisees should be implemented to provide the same service to the customer. Second, CEOs should have to worry about what kind of experience he or she has left since leaving the store. It is also necessary to constantly look at what customers experience in their stores or in their brands, and what emotions they form through their experiences. Third, the more satisfied or trusted customers are formed through the service of the employee, the more loyal the restaurant business will be, and the more likely it is to make continuous revisit and positive word-of-mouth activities..

• 마케팅과학연구
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• 제15권3호
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• pp.169-186
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• 2005

이 연구는 고객의 점포 혼잡성 지각이 점포내 감정을 매개하여 행동의도에 미치는 영향을 규명하고자 하는 목적을 두었다. 패밀리 레스토랑 고객 486명의 자료를 바탕으로 공분산구조분석을 실시한 결과, 지각된 점포 혼잡성은 긍정적 감정에 부(-)의 영향을 미치고, 부정적 감정에 정(+)의 영향을 미치며, 이러한 감정을 매개하여 행동의도에 영향을 주는 것으로 나타났다. 이러한 연구결과를 바탕으로 시사점을 논의하고, 연구의 한계와 미래 연구방향을 제시하였다.

• 디지털융복합연구
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• 제19권10호
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• pp.203-208
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• 2021

본 연구는 감정지능이 개인적 특징으로 전문화된 구성원의 이직을 방지하는 것과 고객지향이 중요하므로 고객지향과의 관계를 온라인쇼핑몰 콜센터 상담사를 대상으로 검증하였다. 배포한 170부 중 불성실한 응답 22부를 제외한 148부(87.05%)가 분석에 이용되었다. 실증분석에 활용된 도구는 SPSS 25.0이다. 연구결과는 다음과 같다. 첫째, 감정활용은 고객지향에 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 타인감정인식도 고객지향에 정(+)의 방향으로 유의한 영향을 미치는 것으로 나타났다. 셋째, 자기감정인식은 고객지향에 정(+)의 영향을 미치는 것으로 나타났다. 넷째, 감정조절성은 고객지향에 정(+)의 영향을 미치는 것으로 나타났다. 본 연구의 시사점은 자신이 느끼는 감정의 원인과 자신의 감정을 이해하여야 고객의 요구에 즉각적으로 응대하고 고객의 일을 본인의 일처럼 생각하여 고객지향성을 가질 수 있다는 것이다.

• 한국산업경영시스템학회:학술대회논문집
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• 한국산업경영시스템학회 2002년도 춘계학술대회
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• pp.285-290
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• 2002

The goods development considering the foot characteristics of Korean and design of the sports shoes need to satisfy the customer emotion. For this, the sports shoes have to give the customer desire and satisfaction and be accomplished the distinction and luxury of goods for sports shoes. This study obtained a basic data on the customer preference and emotion with human sensibility ergonomics approach and formed the database to use easily. Also based on the database, this study developed an interface which the customer be able to select the sports preferred shoes.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.237-251
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• 2020

Purpose The research was studied the hierarchical Hangul emotion index by organizing all the emotions which SNS users are thinking. As a preliminary study by the researcher, the English-based Plutchick (1980)'s emotional standard was reinterpreted in Korean, and a hashtag with implicit meaning on SNS was studied. To build a multidimensional emotion dictionary and classify three-dimensional emotions, an emotion seed was selected for the composition of seven emotion sets, and an emotion word dictionary was constructed by collecting SNS hashtags derived from each emotion seed. We also want to explore the priority of each Hangul emotion index. Design/methodology/approach In the process of transforming the matrix through the vector process of words constituting the sentence, weights were extracted using TF-IDF (Term Frequency Inverse Document Frequency), and the dimension reduction technique of the matrix in the emotion set was NMF (Nonnegative Matrix Factorization) algorithm. The emotional dimension was solved by using the characteristic value of the emotional word. The cosine distance algorithm was used to measure the distance between vectors by measuring the similarity of emotion words in the emotion set. Findings Customer needs analysis is a force to read changes in emotions, and Korean emotion word research is the customer's needs. In addition, the ranking of the emotion words within the emotion set will be a special criterion for reading the depth of the emotion. The sentiment index study of this research believes that by providing companies with effective information for emotional marketing, new business opportunities will be expanded and valued. In addition, if the emotion dictionary is eventually connected to the emotional DNA of the product, it will be possible to define the "emotional DNA", which is a set of emotions that the product should have.

• 동아시아식생활학회지
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• 제17권5호
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• pp.753-763
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• 2007

While the cognitive aspects of customer behavior have been a main subject of research, some researchers are now focusing on the emotional aspects. The influence of emotion on attitude and judgement has been accepted by many researchers, and most studies regarding emotion have focused on physical surroundings and emotional responses, based on Mehrabian & Russell's 1974 model. This study aimed to expand the scope of the model by including employee service. Here we examined the structural relationships between the physical surroundings and employee service of upscale restaurants, along with emotional response, and service loyalty. Physical surroundings and employee service were used as single factors, and we composed four different emotional responses: positive, negative, positive arousal, and negative arousal. While physical surroundings had impact on 'positive emotion' and 'positive arousal', Employee service had influence on 'negative emotion', and 'negative arousal' as well as 'positive emotion'. And 'positive emotion' and 'positive arousal' influenced service loyalty. Lastly, there was also a correlation between physical surroundings and employee service.