Purpose - The study aims to provide the relationships between the social servicescape and customer's emotion and voluntary behaviors were investigated in this study. The social servicescape was largely divided into service employee's image and other customers (in customer's similarity, physical appearance and suitable behavior). Firstly, the relationship between service employee's image and customer's positive emotion was investigated as a specific purpose of study. Secondly, this study attempted to understand the relationship between other customers (in customer's similarity, physical appearance and suitable behavior) and customer's positive emotion. Lastly, the relationship between customer's positive emotion and customer's voluntary behavior dimension (intention to cooperate, intention to participate in and loyalty) was examined. Research design, data, & methodology - In order to prove the hypotheses in this study, the customers who have experienced family restaurants during the last two months were targeted for a survey. A total number of 300 survey papers were distributed and as a result, 248 papers could be used for analysis, except the papers with insincere answers. After the analysis of the reliability and validity of each major variable, the hypothesis was verified through the structure method by using Amos 20.0. Results - First, the results of hypothesis testing on the relationship between social servicescape and customer's positive emotion showed service employee image gives a positively meaningful impact on customer's positive emotion. Secondly, the results on the relationship between other customers and customer's positive emotion indicated that the customer's similarity and physical appearance has a positively significant impact on customer's emotion while customer's suitable behavior has not a significantly positive impact on customer's positive emotion Lastly, customer's positive emotion was shown to have a significantly positive influence on customer's voluntary behavior dimension, that is, intention to cooperate, intention to participate in and loyalty. Conclusions - This study aims to focus on and emphasize the social servicescape and its importance, which is different from the previous studies that have been focused largely on physical servicescape. Such results in this study indicated the social servicescape (service employee's image and other customers) as an important factor that affects customer's positive emotion and voluntary behavior.
Purpose - This study aimed to (a) investigate the effects of emotional intelligence on customer orientation, (b) examine the impact of customer orientation on customer relationship management (CRM) performance (including CRM-related variables such as 'relationship commitment,' 'image of corporation,' and 'customer loyalty'), and (c) identify the conceptual framework of emotional intelligence. Research design, data, and methodology - The data were collected using a questionnaire given to a sample of employees of luxury hotels in the metropolitan area. To test the hypotheses, AMOS were conducted for the 271 respondents of the sample using the SPSS Win 17.0 software. The concept of emotional intelligence (EI) has been on the radar of many leaders and managers over the past few decades. Emotional intelligence is generally accepted to be a combination of emotional and interpersonal competencies that influence behavior, thoughts, and interactions with others. Emotional intelligence consists of four factors: understanding the self's emotion, understanding other people's emotions, emotion utilization, and emotion control. Understanding the self's emotion means to understand of my own emotions. Understanding other people's emotions is to understand of the emotions of the people around me and to know how my friends feel based on their behavior. The concept of emotion utilization means to set goals for myself and then try to achieve them, encouraging myself to do my best. The concept of emotion control means I can control my temper, handle difficult situations rationally, and calm down quickly when I am very angry. Results - As a result of the analysis, three factors (understanding the self's emotion, understanding of other people's emotions, and emotion utilization) were shown to have a significant effect on customer orientation. Emotion control had an insignificant effect on customer orientation. Only emotion control makes it difficult to solve customers' problems because it is a passive behavior. In order to solve the customers' problems, hotel employees have to show a positive attitude. Second, customer orientation had a significant effect on customer relationship management performance (customer relationship commitment, corporate image, and customer loyalty). In other words, customer orientation increases commitment to customer relationships. For example, employees who have a customer-orientated perspective provide good service to their customers, while employees who don't have a customer-orientated perspective can't satisfy their customers. Customer orientation can also generate a good image among customers, because they evaluate the image of a hotel through the behavior of hotel employees. So it is very important for employees to show excellent customer orientation. Conclusions - It is very important for hotel CEOs to manage their employees' emotional intelligence. In order to increase their employees' emotional intelligence abilities, CEOs have to manage the overall corporate culture and reward programs to achieve what they want. This is because the system can lead to a customer-orientated mind-set and CRM performance among employees. As a result, the hotel CEO has to pay attention to the emotional intelligence of employees to achieve strong CRM performance. The sentence as originally written was a bit unclear. If this edit does not retain your intended meaning please consider: "Only emotion control does not have a significant impact on customer orientation, and therefore on the ability of an employee to solve customer problems, because it is a passive behavior." Please use the version of the sentence that best captures your original meaning.
This study investigated the hotel buffet restaurant's service quality, emotional reaction of customer, recommendation intention, and defection intention. The survey was conducted from January 3 to February 7 in 2011, and 400 respondents were used in the data analysis. As a results of this study, the hotel buffet restaurant's service quality was classified by the interaction, outcome, and physical environment quality. The emotional reaction of hotel buffet restaurant's customer was classified by the positive and negative emotion. The all factors of hotel buffet restaurant's service quality had a positive impact on positive emotion, while it had a negative impact on negative emotion. The positive emotion reaction of hotel buffet restaurant's customer had a positive impact on the recommendation intention, while the negative emotion had a negative impact on the recommendation intention. And the negative emotion had a positive impact on the defection intention in hotel buffet restaurants. In addition, there were partially differences in the service quality and emotional reaction by general characteristics. There were significant differences in the recommendation intention by marriage status and monthly income. Therefore, the hotel buffet restaurants have to design a strategy of service for increasing customer's positive emotion and recommendation intention.
This research has classified waiting times into the three different ones according to service offering process and investigated the antecedents and consequences of types of waiting times. A service provider's concern and customer involvement were modeled as antecedent variables and negative emotion and service value as dependent variables. The empirical results of the study are as follows. A service provider's concern had significant influences on all the three types of waiting times whereas customer involvement was found to affect preprocess-waiting and postprocess-waiting times. Preprocess-waiting time had a significant impact on both negative emotion and service value and inprocess-waiting time only affects negative emotion. However, postprocess-waiting time had influenced none of the variables. The findings illustrate an important role of concern and involvement regarding to a customer's perceived waiting time and relative importance of waiting types on negative emotion and service value. A summary of the results are reported and managerial implications are discussed.
The two purposes of this study were to understand service encounters in Korean restaurants by foreigners living in Korea and to examine the effect of service encounters on the customer's emotion feelings, customer satisfaction, and behavioral intention. Based on the reactions of a total of 614 foreigners obtained by empirical research, this study reviews the reliability and fitness of the research model, and verifies a total of 4 hypotheses using the Amos program. The hypothesized relationships in the model were tested simultaneously using a structural equation model (SEM). The proposed model provided an adequate fit to the data: ${\chi}^2$ 683.466 (df=216), CMIN/df 3.164, RMR 0.095, GFI 0.911, AGFI 0.886, NFI 0.933, CFI 0.953, and RMSEA 0.059. As a result of empirical analysis, the physical environment, interactions with employees, and interactions with other customers were quantified as service encounter factors in Korean restaurants. These factors were indicated to have an influence on customer's emotion feelings. Also, customer's emotion feelings had a positive influence on customer satisfaction and behavioral intent. Limitations and future research are also discussed.
Journal of Information Technology Applications and Management
/
v.21
no.4
/
pp.203-223
/
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.
Journal of the Korea Fashion and Costume Design Association
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v.14
no.2
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pp.199-214
/
2012
$21^{st}$ century customer is voluntary actor, who has hegemony of communication based on digital surrounding. They are co-creator dismantling boundary between production and spending, and digital homonarrance of digital storyteller acting on the emotion. What is more, they prove the utility of 5 sense, value, experience, and story in market. 20th century Me generation is changing into We generation, who overcomes a sense of alienation and aim at smart life style for harmonious symbiosis with earth environments. Customer cultural trends are as follow as that 1) personalization of taste and experience, 2) spreading and sharing about personal use and experience, 3) consumption centered the value, 4) retreat and healthcare, 5) counter trend comes into the reaction about the forceful major trend. Contemporary customer changes essence of the life on the ground of emotion, symbol, image, and value not a commodity, function, and logos, and demands into change about direction of business to mostly enterprises. Customer's need and desire are on the increase as various emotion and value. Therefore, change of customer cultural trend is barometers for the growth and development of new fashion industry in $21^{st}$ century.
Journal of Korea Entertainment Industry Association
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v.13
no.1
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pp.35-46
/
2019
In this study, we conducted an empirical analysis to examine the effects of corporate cultural marketing activities on customer satisfaction and customer citizenship behavior through positive emotion variables. For this study, we conducted a survey on customers who have experienced cultural marketing activities of companies. The results are as follows. First, among the four factors of culture marketing activities, 'sponsorship','synthesis','style', and other factors excluding 'sales' factors influenced positive emotion. Second, positive emotion have a positive effect on customer satisfaction with products and services. Third, positive emotion affect voluntary customer citizenship behavior. As a result, it can be seen that the marketing activities of companies practicing cultural activities, differentiation of products and services based on culture, and formation of corporate culture emphasizing culture lead to positive emotion of customer. In addition, positive emotion are likely to lead to customer satisfaction with products and services, and furthermore, in order to create common value, it is sometimes possible to lead to customer citizenship behavior that voluntarily perform the same role as the company's spokesperson have. Based on the results of this study, it is necessary for domestic stakeholder to engage in innovative perspectives and ongoing activities based on the essential concepts of cultural marketing to secure customer and build competitive advantage.
This study was performed to verify the importance of emotional aspect for hotel employees to derive the organizational commitment and customer orientation. Present study estimated the emotional intelligence as four factors: self emotion, other emotion, emotional utilization, and emotional regulation. Online survey method was used and distributed the questionnaires to hotel employees who are working for restaurants. A total of 300 questionnaires were distributed and 257 participants were employed for statistical analysis using SPSS 21.0 and AMOS 21.0 for Windows. As results, two factors(emotional utilization and emotional regulation) were significant antecedents of organizational commitment, and three factors(self emotion, other emotion, and emotional utilization) were critical predictors of customer orientation. In addition, organizational commitment has significantly influenced the customer orientation. According to the results of this study, hotel restaurant managers or hotel company need to understand the importance of the emotional intelligence for providing better service to their customers as well as improving the organizational commitment. These results will contribute to develop advanced marketing strategics for hotel restaurants employees who have many connections with customers in a hotel.
In this study, we further study the customer's positive emotion about the impact of different inherent service climate on the emotions and satisfaction of the customers who receive the service. Through this, the purpose was to present the direction of creating a service climate. As a research method, structural equation statistical analysis, such as measurement model analysis and structural model analysis, was performed using SmartPLS (v.3.2) for data collected in surveys. Looking at the research results, first, a company's service climate has a positive (+) impact on positive customer emotions: pleasure, pleasure, and happiness. This can be interpreted as an indication that creating a business climate for service is an important factor that elicits positive emotions from customers. Second, a company's service climate and positive customer emotion also have a positive impact on customer satisfaction. Finally, when a company's service climate affects customer satisfaction, happiness has the greatest mediating effect among several parameters. This demonstrated empirically that satisfying the happy feelings of customers is the most important of the company's service climate. Since this study is aimed at a small number of restaurant companies, there is a limit to generalizing the findings and applying them to all restaurant companies. Nevertheless, it is meaningful to study the emotions of positive customers when the service climate affects customer satisfaction, and we hope that the company's analysis of service climate will continue to improve customer satisfaction through various emotional analysis as well as positive factors.
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