• Journal of Information Technology Services
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• v.4 no.2
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• pp.79-97
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• 2005

With the proliferation of EC, many customers have been participating into online auction or group-buying market over searching internet shopping-malls to purchase goods. To support the customer's convenient transaction, lots of agent systems are developed to facilitate the customer's product brokering, merchant brokering, and negotiation of transaction. However, many of these systems have focused upon supporting transaction at only one type of marketplace. Since these marketplaces have different transaction settlement mechanism, it is necessary to develop the system that utilizes the customer's transaction including the selection of the type of marketplace to buy. Then we classify the kinds of B2C electronic marketplace according to the protocol by which the market operated. The structure of negotiation message is developed using XML schema and RDFS under the characteristics and message example of each marketplace in this research.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.76-90
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• 2015

This study investigated the effects of online shopping malls' HMR selection attributes upon satisfaction and repurchase intention. Study subjects were Busan residents from whome 252 valid questionnaire responses were collected and used for analysis. The study conducted afrequency analysis to explain demographic characteristics using SPSS 18.0. Other anaylses were perfromed in order to investigate the effects of online shopping mall HMR selection attributes upon satisfaction and repurchase intention. The findings revealed that convenience, package brands, palatability, price and food quality appropriateness exhibited a significant influence, although food quality did not have a significant influence on customer satisfaction. In addition, customer satisfaction had a significant influence upon repurchase intention. Therefore, a high added value brand with high quality packing and design is thought to be more important than inexpensive price and low quality.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.424-434
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• 2020

The purpose of this study is to investigate the effects of selection factors which include accessibility, trade area, spatiality, convenience, reliability, assurance on satisfaction. Also, the relationship among satisfaction, conversion cost, and reuse intention was examined. The survey was conducted for college students who had used coffee shops in the last month and 247 copies were used for the analysis. The study model was analyzed by the basic statistical analysis, factor analysis, reliability analysis, and structural model analysis using SPSS 18.0 and AMOS 18.0. As a result of analysis, it was confirmed that customer satisfaction was influenced by factors in order of assurance, accessibility, commerciality, reliability, and spatiality. Also, satisfaction and conversion cost have a significant effect on reuse intention. The result shows that the satisfaction of selection factors increases student customer's behavioral intentions and ultimately contributes to the improvement of coffee shop performance. Therefore, a coffee shop targeting college students needs a lot of interest in the taste of coffee, price, various menus and accessibility, trade area, and large space.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.449-455
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• 2002

This paper considers that advanced planning and scheduling (APS) in manufacturing and the efficient purchasing where each customer order has its due date and multi-suppliers exit We present a Make-To­Order Supply Chan (MTOSC) model of efficient purchasing process from multi-suppliers and APS with outsourcing in a supply chain, which requires the absolute due date and minimized total cost. Our research has included two states. One is for efficient purchasing from suppliers: (a) selection of suppliers for required parts; (b) optimum part lead­time of selected suppliers. Supplier selection process has received considerable attention in the business­management literature. Determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. These influence factors can be divided into quantitative and qualitative factors. In the first level, linguistic values are used to assess the ratings for the qualitative factors such as profitability, relationship closeness and quality. In the second level a MTOSC model determines the solutions (supplier selection and order quantity) by considering quantitative factors such as part unit price, supplier's lead-time, and storage cost, etc. The other is for APS: (a) selection of the best machine for each operation; (b) deciding sequence of operations; (c) picking out the operations to be outsourcing; and (d) minimizing makespan under the due date of each customer's order. To solve the model, a genetic algorithm (GA)-based heuristic approach is developed. From the numerical experiments, GA­based approach could efficiently solve the proposed model, and show the best process plan and schedule for all customers' orders.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.3
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• pp.518-523
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• 2006

Due to keen competition among companies, they have segmented customers and they are trying to offer specially targeted customer by means of the distinguished method. In accordance, data mining techniques are noted as the effective method that extracts useful information. This paper explores customer segmentation of the home study company using a hybrid decision tree and artificial neural network model. With the application of variance selection process from decision tree, the systemic process of defining input vector's value and the rule generation were developed. In point of customer management, this research analyzes current customers and produces the patterns of them so that the company can maintain good customer relationship. The case study shows that the predicted accuracy of the proposed model is higher than those of regression, decision tree (CART), artificial neural networks.

• Journal of Distribution Science
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• v.14 no.9
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• pp.133-147
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• 2016

Purpose - The Purpose of this study is to observe the value of LOHAS as an exhibition that is perceived to be a specialized local exhibition with good fame and differentiated advantage as well as the spectators' will to visit the exhibition coming from the future behavior intention of visitors. Research design, data, and methodology - In order to achieve the purpose of this study, This study organized questionnaire after setting a hypothesis based on the theoretical background from the parameters. verification of the hypothesis by statistically analyzing the answers for questionnaire follows. Finally, the implication of this study is drawn through comprehensive discussion while This study indicated from the limits of the study and future direction for research. This study set up a model to research the influence on the structuring factors in LOHAS exhibition in forming perceived value, customer satisfaction and future behavior intention. Frequency analysis was used for getting demographic characteristics, verification of plausibility, reliability of measured parameters and factors analysis. This study have performed verification of difference at selection property level based on multiple regression analysis and demographic nature. Results - To summarize the study result, through the verification of hypothesis about meaningful influence among structuring factors in LOHAS exhibition, perceived value and customer satisfaction shows some noticeable points to focus on. That is, it is established things that partial adoption and meaning relationship of partial influence. The perceived value affected both customer satisfaction and future behavior intention meaningfully. Conclusions - This study could note that in the structuring factors of LOHAS exhibition, perceived value for visitors and customer satisfaction play their roles positively on the future behavior intention. In conclusion, this study implies that strategic measures are necessary to fulfill the structuring factors of LOHAS exhibition as they would make positive impact on acknowledged value, customer satisfaction and future behavior intention to contribute to the growth and development of LOHAS exhibition. Also it suggests that the method to join each other with activities is necessary to strengthen the properties of the exhibition and position well to be a solid local exhibition.

• Convergence Security Journal
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• v.11 no.2
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• pp.55-64
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• 2011

This study is to investigate the relationship of the effect of the private security guard unethical work ethic on job attitude and customer service. We extracted about 450 people examples after the Selection of the private security guard's in active service in Seoul in 2010, and totally 412 people examples were used. This study carried out factorial analysis, reliability analysis, correlation analysis, multiple regression analysis and pass analysis using SPSSWIN 16.0. The followings are conclusions. First, unethical work ethic affects on job attitude partially. Namely, tampering with work and information leaks reduce job attitude. Also, information leaks increase company's turnover rate. Second, unethical work ethic has no effect on customer service. Third, job attitude affects on customer service partially. In other words, the organizational commitment improves the quality of service but decreases the customer-centered service. Fourth, unethical work ethic has an effect on job attitude and customer service indirectly.

• Korean Institute of Interior Design Journal
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• no.34
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• pp.157-164
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• 2002

Online business these days prone to approach their costumers with improved module and various interface via Internet. This is more than just an act of providing enhancement, but a mean of finding out the customer's demand by enlarging their selection. This, however, is related to the bits per second of supplemental service network.For example, supplemental services that were not possible in the 56K modem era are now possible due to the information super highway network. To grope for new means of approaching, the best way will be by developing media that will collect customer's demands. Until now, customer's demands were evaluated by miniatures of apartment building, model houses or rendered images produced by 3D graphic softwares and pictures. Analyses were not available until evaluation were produced.Nowadays, utilizing the advanced Internet interface tools and various new media, customers are sought before the construction thus various studies to full fill the customer's demands are in process. This study is on development of a virtual module utilizing activated web environment. Analysis modules repeating the changes in customers are expected to deliver us a new trend.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4847-4854
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• 2013

It can be said that nowadays, customers don't recognize that only good quality products as selection attribute regarding products quality can satisfy them. The case in service industries is also the same. Service quality is most affected by the criteria that customers themselves evaluate. Customers who are not satisfied with services provided institutions will disregard them. In consequence, this will affect their profitability. Collected questionnaires were analyzed using SPSS v.15 for the concrete proof analysis and the results are as follows. First, Service quality works as an important factors on customer's behavior. Second, Relationship quality serves as a mediated role between service quality and customer's behavior.

• Journal of the Korean Dietetic Association
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• v.21 no.1
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• pp.25-36
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• 2015

In this study, we attempted to improve hospital food delivery service quality and customer satisfaction by using FMEA (Failure Mode and Effect Analysis), which is applied to the quality control of products in manufacturing plants. Subjective food delivery service quality improvement was judged based on a 5-point likert scale. Traditional FMEA uses an RPN (Risk priority number) to evaluate the risk level of a component or process. The RPN index was determined by calculating the product of severity, occurrence, and detection indexes. In our results, total RPN value (P<0.01) significantly decreased after FMEA introduction, whereas customer satisfaction (P<0.001) and food delivery service quality (P<0.001) significantly increased. Specifically, foodservice errors (P<0.01) and loss cost (P<0.01) were significantly improved by FMEA introduction. Taken together, we suggest that FMEA reduces critical activities and errors in foodservice delivery caused by simple priority selection.