• 한국시스템다이내믹스연구
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• 제5권1호
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• pp.49-71
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• 2004

Demand-side Management can be defined as'any utility activity aimed at modifying customers' use of energy to produce desired changes in the utility's load shape'. Customers benefit by being able to control energy costs and improve quality of life and become more productive. Utilities benefit from DSM's value as a resource that enhances asset utilization and reduces both fuel costs and environmental emissions. The scope of DSM includes load management through rate schedules and conservation by improving energy effciency and using electricity consumption effectively. This paper study the DSM resource evaluation and customer behavior analysis todesign the DSM Program plan in response to customer needs. We develop basic system dynamics model to analysis the customer behavior based on a survey research. The DSM Program participants in the Hi- efficiency Inverter, Electric motor and efficient lighting applicancies operating by Conservation program 2002 become the survey objects. DSM resource evaluation evaluate firstt the distribution potentialities of each machine and then forecast the degree of diffusion. We apply the system dynamic approach to simulate the dynamic DSM market situation at the domestic beginning. This model will give the energy Planner the opportunity to create different scenarios for DSM program planning. Also it will lead to increased understanding of the dynamic DSM market

• 유통과학연구
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• 제18권10호
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• pp.77-87
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• 2020

Purpose: This study was done to analyze the effect of supervisor-focused impression management behavior of the airline cabin crew on perceived customer empathy. It focused on verifying dual meanings of the crew's emotional expression divided into surface acting and deep acting. Research design, data and methodology: The survey was conducted on cabin crews of two major Korean airlines. The reliability and validity of each variable used in the questionnaire were verified. Then, each hypothesis was analyzed through multiple regression analysis. Results: Firstly, the crew's supervisor-focused impression management behavior had a significant effect only on surface acting of the crew's emotional labor behavior. Among the crew's supervisor-focused IM behaviors, verbal IM behavior had a greater influence on surface acting than non-verbal IM behavior. Secondly, there was no relationship between the crew's supervisor-focused IM behavior and the crew's deep acting. Thirdly, the crew's emotional labor behavior (surface acting & deep acting) had a significant effect on perceived customer empathy. Fourth, the crew's deep acting had a greater influence on perceived customer empathy than surface acting. Conclusions: Cabin crews receive double evaluation from their immediate supervisors and customers. As a result, it was confirmed that the crew's supervisor-focused IM behavior, the crew's emotional labor behavior, and perceived customer empathy were connected process.

• 경영과학
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• 제20권2호
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• pp.135-149
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• 2003

Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.

• 한국의류학회지
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• 제25권6호
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• pp.1155-1166
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• 2001

The purposes of this research were 1) to identify shopping orientation according to customer's personality type, 2) to examine perceived importance of service and satisfaction of service related to customer's personality type, 3) to find the relationships of evaluation of salesperson's service and re-purchase intention in each of customer's personality types. The data were collected via self-administered questionnaires from 434 female formal wear shoppers. and were analyzed by frequency, factor analysis, ANOVA, Chi-square test, and multiple regression analysis. The results of this study were as follows: Shopping orientations varied according to customer's personality type. E type had stronger Hedonic/self-confidence than I type, F type had higher Depending decision making than T type and P type had higher Quick decision making than J type. And service items satisfied the customers with a certain personality type. E type was satisfied with timely and proper A/S, not forcing to purchase and trustful behavior of salesperson more than I Type was. And also with expertise, individualized care, polite attitude, and merchandising promotion. N type was satisfied with individualized care more than S type was. A service evaluation criterion affected the re-purchase intention for a customer with a certain personality type. Customer's convenience in E. I. S, N, T, F, J types had a significant effect on re-purchase intention. And Expertise/ care in E, N, T, J types had a positive effect on re-purchase intention. also Politeness in E, I, S, N, T, J, P types did. But in only E type, Merchandising promotion affected re-purchase intention.

• 마케팅과학연구
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• 제6권
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• pp.167-184
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• 2000

Previous models of consumer post-purchase evaluation behavior have treated customer satisfaction as a transaction-specific construct. In the present paper, a conceptual framework that describes customer satisfaction measurement as a process is developed. The framework explains customer satisfaction as a dynamic process encompassing five stages-search, interaction, experience, service, and longevity. It is proposed that organizations should develop information systems to measure customer satisfaction during all five of the stages and disseminate such information throughout the organization as part of their Total Quality Management efforts.

• 유통과학연구
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• 제15권1호
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• pp.15-20
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• 2017

Purpose - Other customers within the same service environment do influence a customer' attitude and behavior toward a service firm. Specially, other customers' misbehaviour and various service problems stemmed from them could make the other customers suffer some bad experiences. However, there are few studies to answer how the spillover effect of a service failure arisen from other customers' misbehavior. This study is aimed to examine how service failure due to the dysfunctional behavior of other customers has negative effects on customer evaluation with the service provider. Research design, data, and methodology - Data were collected from a survey based on consumers' retrospective experiences in airline service context. The hypothesized relationships were tested conducting structural equation modeling. Results - Our results show that the attribution of a firm responsibility for other-customer failure has a positive influence on customer's recovery expectation, in turn, it is negatively related to customer satisfaction. Furthermore, perceived service provider's efforts positively influence customer satisfaction. Conclusions - Although a service failure was caused by other customer's misbehavior, employees should be able to alleviate any bad feelings of the affected customers. Furthermore, service providers should provide proper recovery efforts for solving problems caused by the other customers for the wounded customers.

• 패션비즈니스
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• 제17권2호
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• pp.136-150
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• 2013

This study investigates the effect of customer emotions on customer evaluation and behavior intention. The subjects used in this study were customers of a fashion shop in Sunchon South Korea. The questionnaires were conveniently sampled from July 2010 to August, 2010. Questionnaire data from 335 customers of a national brand were analyzed through a reliability analysis, factor analysis, and multiple regression analysis. The results of this study are as follows. First, emotions of customer were divided into 2 patterns, positive emotion and negative emotion. Second positive emotion have significant (+) influences on the trust and negative emotion have significant (-) influences on the trust. Third positive emotion have significant (+) influences on the customer orientation and negative emotion have significant (-) influences on the customer orientation. Forth, the emotions of customer have a considerable impact on the interaction intention. And the positive emotion have significant (+) influences on the word-of-mouth intention and negative emotion have not a considerable impact on it. Fifth the positive emotion have significant (+) influences on the attitude toward store and repurchase intention, and negative emotion have significant (-) influences on the attitude toward store and repurchase intention.

• 한국시스템다이내믹스학회:학술대회논문집
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• 한국시스템다이내믹스학회 2004년도 하계 학술대회 발표논문집
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• pp.63-85
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• 2004

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.306-311
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• 2002

This paper propose a personalized defection detection and prevention procedure based on the observation that potential defectors have tendency to take a couple of months or weeks. For this purpose, possible states of customer behavior are determined from past behavior data using SOM (Self-Organizing Map). For the evaluation of the proposed procedure, a case study has been conducted for a Korean online game site. The result demonstestes that the proposed procedure can assist defection prevention effectively and detect potential defectors without deterioration of prediction accuracy comparison to prediction by MLP. Our procedure can be applied to various service industries that can capture fluent customer behavior data such as telecommunications, internet access services, and content services, too.

• 디지털산업정보학회논문지
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• 제17권4호
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• pp.109-120
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• 2021

Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.