• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.219-230
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• 2013

Real time accessiblity and agility in Ubiquitous-commerce is required under ubiquitous computing environment. The Research has been actively processed in e-commerce so as to improve the accuracy of recommendation. Existing Collaborative filtering (CF) can not reflect contents of the items and has the problem of the process of selection in the neighborhood user group and the problems of sparsity and scalability as well. Although a system has been practically used to improve these defects, it still does not reflect attributes of the item. In this paper, to solve this problem, We can use a implicit method which is used by customer's data and purchase history data. We propose a new clustering method of weighted preference for customer using k-means clustering and Bayesian network in order to improve the accuracy of recommendation. To verify improved performance of the proposed system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.3
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• pp.115-133
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• 2002

In this paper, 15 South Korean telecommunications service failure cases were analyzed. Through the in-depth case study, 8 factors were found to be the major causes contributing to the telecommunications service failure. They were (1) ineffective marketing, (2) poor demand forecasting due to misjudgment of customer preference, (3) failure to satisfy technical specifications, (4) loss of cost advantage due to the price cut of competing services or new entry with lower price, (5) loss of utility advantage due to the increased utility of competing services or new entry with higher utility (6) decrease of market attractiveness due to change of customer preference, (7) impact of government policy, and (8) insufficient or low quality of contents. Additional analysis was done to derive managerial implications to the new telecommunications service development strategy. The findings from the paper will provide valuable Insight to the successful Implementation of new service development and service provisioning processes.

• Korea Journal of Hospital Management
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• v.6 no.3
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• pp.90-108
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• 2001

This research examines the compensation package maximizing the utilities of internal customers by applying the market segmentation theory. Data were collected from four Korean hospitals in Seoul, Pusan and Kyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors and nurses by applying the market segmentation theory. The compensation package for doctors and nurses was classified into 5 attributes which are level of salary, payment method, education, promotion, reward method. The test results were as follows. First, the relative importance of each attribute in the compensation package is different. The level of salary is the most important, reward method is the next. Second, the utility of doctors increases by 8.7%, when they are segmented on the basis. of their preference for compensation attributes while that of nurses increases by 39.8%. The results of this study imply that the utility of doctors and nurses increases with differentiated compensation package for internal customer segmented by their preference.

• Journal of Fashion Business
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• v.20 no.6
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• pp.19-31
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• 2016

Identifying the factors of emotional experience that arouse emotional responses will contribute to determining the relationship between the visual attributes of a salon and the emotional responses of humans, as well as the relationship between service factors and the emotional response of humans. The aim of this study is to examine the effect of the various e motional responses of customers on store preference and to thereby propose marketing strategies for offering an insightful service. The emotionally expressed vocabulary used by customers during their visit is also explored. 300 customers with previous experience of beauty shop services were surveyed and their responses were analyzed using SPSS 20.0 to define the problems. All the emotional experiences at the beauty salon influence the service satisfaction and re-visitation intention. The results showed that, as the customer's level of satisfaction with a service experience increases, the re-visitation intention increases. Of these results, only the service experience influences the recommendation intention. As the effective delivery of positive emotional services influences customers' revisiting intentions, beauty industry workers should be aware of each phase of the customers' emotions and try to provide customer-oriented services to appease these emotions. In addition, workers should strive to create service systems that induce customers' positive emotional responses rather than to offer merely stereotyped services.

• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.91-96
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• 2006

Recently, the development construction of New Masan Container Terminal (1-1 Phase) with private investment would be set for opening in the 2011 year in Masan Port, Korea However, as new container terminals of the Pusan New Port and 'the New Ulsan Container Terminal neighboring Masan Port will be also planned to open around the time, the strategy establishment for Masan Port is required for a keen competition among these ports. To provide it with strategic points, we applied SP model used for customers' behavior method to analyze customer's preference changes with the shifts of the ports' conditions for customers.

• Journal of the Korean Dietetic Association
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• v.12 no.3
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• pp.235-242
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• 2006

The purpose of this study of was to provide basic data for preparing event menus to increase customer's satisfaction by investigating university students' participation and preference for the event menus in the foodservice operations. The questionnaires were distributed to 300 customers from August 1 to 31, 2005. 88.0% of the questionnaires were analyzed. Statistical analysis of data was performed using SAS package program(version 8.2) for descriptive analysis and $χ^2$-test, t-test, one-way ANOVA, Duncan multiple range test. The results of this study can be summarized as follows : 50.4% of the students have participated in foodservice operation's event and the average degree of the satisfaction was 2.67 out of 5. The type of the events customers have most frequently participated in were the national holiday·subdivisions of the season event(47.3%), the day event(34.1%), environment event(26.9%) and so on. In large classification, preferred were season event(85.2%), international food event(76.9%), and healthy food event(73.1%) and so on. In small classification, orgarnic food event(53.0%), summer fruits festival(41.3%), midsummer event(36.6%) and christmas event(34.4%) and so on. From now on, the event reflecting customers' expectation and requirement should be planned and implemented.

• Journal of the Korea Computer Industry Society
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• v.10 no.4
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• pp.115-120
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• 2009

Most reservation systems make a reservation without customer's preference on-line. These reservation systems had problems not to improve customer's preference in modern society. To solve these problems, we have tried to apply these problems to complex scheduling technique. The scheduling technique for performing art reservation proposed in this thesis is based on object-oriented concepts. To consider the over all satisfaction, the events of every object are alloted to the sitting plan board along its priority. We have scheduled to rise customer's satisfaction in the performing art reservation.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.399-406
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• 2010

This paper is to analyze which factors affect preference, satisfaction, and revisiting on McDonald's brand personality and to suggest distinguished guidelines for drawing core customers. The questionary distributed 150 who is college students in dokyo, Japan, then used for data analysis 128. The results come up with; First, 4 variables which are 'up-to-date', 'spirited', 'darling', and 'young' showed up importantly in brand personality. These mean young generation would like to enjoy playing on-line game and contents with computer on the table during wait their order. Second, 3 factors (sincerity, intelligence/specialization, and wholesome) in brand personality had highly significant in preference and satisfaction. When they feel strongly specialization and trust in product, it should be showed highly with preference and satisfaction. Third, 2 factors (sincerity, and intelligence/specialization) had strongly significant in revisiting. As marketer reinforce darling and specialized image about McDonald, Therefore, they should make customer to purchase again. Finally, if customer prefered and satisfied with product in the restaurant, it could be connected rebuying.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1205-1212
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• 2004

As electronic commerce systems have been widely used, the necessity of adaptive e-commerce agent systems has been increased. These kinds of adaptive e-commerce agents can monitor customer's behaviors and cluster thou in similar categories, and include user's preference from each category. In order to implement our adaptive e-commerce agent system, in this paper, we propose an adaptive e-commerce agent systems consider customer's information of interest and goodwill ratio about preference goods. Proposed system build user's profile more accurately to get adaptability for user's behavior of buying and provide useful product information without inefficient searching based on such user's profile. The proposed system composed with three parts , Monitor Agent which grasps user's intension using monitoring, similarity reference Agent which refers to similar group of behavior pattern after teamed behavior pattern of user, Interest Analyzing Agent which personalized behavior DB as a change of user's behavior.