• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.375-383
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• 2021

The justice issue in the service recovery process has become an interesting topic especially in rural banks in Indonesia. There are two types of justice issues in handling the complaint process; distributive and informational. This study aims to analyze the effect of distributive and informational justice on complaint handling satisfaction. This study also examines the mediating role of positive and negative emotions on the effect of justice in post-merger rural banks. This research employs a survey by distributing a questionnaire to 238 customers who have complained to one of the post-merger rural banks in West Java and Yogyakarta. This study uses the structural equation modelling (SEM) method by WarpPLS software. The results reveal that distributive and informational justice have a positive effect on positive and negative emotions, while informational justice does not affect positive and negative emotions. Distributive and informational justice directly affect satisfaction over complaint handling. On the other hand, positive and negative emotions affect satisfaction over complaint handling. The findings of this study suggest that positive emotion also mediates the distributive justice effect on satisfaction over complaint. Lastly, positive and negative emotions do not mediate the informational justice effect on satisfaction over complaint handling at post-merger rural banks in West Java and Yogyakarta, Indonesia.

• The Research Journal of the Costume Culture
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• v.19 no.3
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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.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.352-365
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• 2010

Most of studies concerned with on-line Brand community show that it makes users to increase their brand loyalty and brand attachment. But it wouldn't be explained that on-line brand community could be the field of consumer's public complaining in service failure. So, this study tried to focus the dimensions of negative emotions and customer characteristics that may cause relationship dissolutions in on-line brand community. The findings of the present study following as, high relationship quality of on-line brand community user directly effects negative emotions, especially, disappointment and betrayal. second, disappointment and betrayal influences the desire of revenge. Third, customer's negative reactions (for example, negative replies about the brand or public complaining in community) are mediated by customer's desire of revenge. The analysis was held with brand community customers who has been experienced service recently by using SPSS14K and Smart PLS 2.0. The study verified the structural equation model hypothesizing the between emotional factors and negative reactions. In conclusion, this article provides implications into understanding of customer's negative emotions and user's characteristics that cause negative reactions in on-line brand community. thus, this may allow marketers to have managerial insights on handling of on-line brand community independently operated by consumers.

• The Journal of Information Systems
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• v.29 no.3
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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.

• Culinary science and hospitality research
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• v.14 no.4
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• pp.398-414
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• 2008

The purpose of this study is to analyze the effect of restaurant atmosphere on its image and customers' emotional responses and behavior. The results of this study indicated that perceived restaurant atmospheres had a significant effect on customers' emotional responses, and these emotional responses greatly influenced the image of a restaurant. Especially, the ambient and cleanliness factors of restaurant atmosphere influenced a restaurant image, and the positive image from those factors had a significant effect on customer behavior. The design and human factors of restaurant atmosphere influenced customer behavior, and the positive image from those factors had a significant effect on customer behavior. Finally, it was verified that the restaurant atmospheric factors affected its image and customers' emotional responses and behavior. Moreover, the better the restaurant atmospheric factors(design, ambient, cleanliness, humanity) are, the better customers' emotional responses and image are, thereby increasing customers' revisiting and word-of-mouth intention.

• ETRI Journal
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• v.38 no.3
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• pp.494-501
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• 2016

Sentiment analysis incorporates natural language processing and artificial intelligence and has evolved as an important research area. Sentiment analysis on product reviews has been used in widespread applications to improve customer retention and business processes. In this paper, we propose a method for performing an intensified sentiment analysis on customer product reviews. The method involves the extraction of two feature sets from each of the given customer product reviews, a set of acoustic features (representing emotions) and a set of lexical features (representing sentiments). These sets are then combined and used in a supervised classifier to predict the sentiments of customers. We use an audio speech dataset prepared from Amazon product reviews and downloaded from the YouTube portal for the purposes of our experimental evaluations.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.139-146
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• 2012

The emotional factor has not been focused in e-learning studies. But the emotions of student are very important in e-learning because it is a self-regulated learning. This study is focused on the emotional factor in e-learning. This study examines the effect of perceived customer orientation to emotional presence, commitment and customer satisfaction in e-learning. The results of this study showed that the perceived customer orientation effect to the commitment about the learning and the customer satisfaction in e-learning.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.85-97
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• 2021

Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

• Culinary science and hospitality research
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• v.19 no.1
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• pp.70-84
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• 2013

The study aimed at grasping the factors of sommelier service quality and analyzing how customers' emotional responses based on sommelier service quality had a big impact on the revisit intention for the customers who received sommelier service from food service industries located in Seoul. The findings are as follows. The effects of sommelier service quality on positive emotions were respectively significant in specialty factor(${\beta}$=.257, p<0.001), reliability factor(${\beta}$=.314, p<0.001), and responsiveness factor(${\beta}$=.387, p<0.001). And the effect on negative emotions was significant in specialty factor(${\beta}$=-.178, p<0.05). Meanwhile, the result of the effect on the revisit factor of sommelier service quality was significant in reliability factor(${\beta}$=.286, p<0.001). And the effects of customers' emotional response on revisit factor were significant in positive emotion factor(${\beta}$=.350, p<0.001) and negative emotion factor(${\beta}$=-.195, p<0.01) respectively. As the emotional responses based on sommelier service quality had a great impact on customers' revisit intention according to positive or negative emotions, it is necessary for food service industry operators to improve customer satisfaction with consolidating the factors to give customers positive emotions which eventually can lead them to revisit wine restaurants.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.190-205
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• 2010

The purpose of this study is to understand the effect of physical environment of family restaurant upon customers' emotions, satisfaction and revisit intent. Based on total 438 samples obtained from the empirical research, this study reviewed the reliability and fitness of the research model using Amos program. The hypothesized relationships in the model were tested simultaneously by using a structural equation model (SEM). The proposed model provided an adequate fit to the data, $x^2$ 592.898(p<0.001), df=239, CMIN/DF 2.481, RMR 0.103, GFI 0.900, NFI 0.952, CFI 0.970, RMSEA 0.058. SEM resulted that the physical environment showed a significant effect on customers' positive emotions($\beta$=0.388, p<0.001) and negative emotions($\beta$=-0.148, p<0.001). Also, customers' positive emotion($\beta$=0.828, p<0.001) bad a positive significant effect on customer satisfaction, and customer satisfaction($\beta$=0.771, p<0.001) bad a positive significant effect on revisit intent. Limitations and future research directions are also discussed.