• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1349-1359
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• 2021

The electronic money market in Indonesia continues to experience an increase in the number of users and volume of transactions. However, the electronic money market, especially server-based, in Indonesia is becoming concentrated into a few issuers. Electronic money issuers compete in price and promotion wars to gain new customers and maintain their existing ones. This paper presents an analysis of the orientation and factors that influence the loyalty in electronic money products. The research model variables in this study are adopted from the E-Service Quality and Marketing Mix categories. These variables are hypothesized to affect the perceived value and then customer loyalty. The research population consists of all Indonesians who use server-based electronic money, with a sample of 400 individuals. The results show that, in the E-Service Quality group, reliability, responsiveness, and security significantly affect perceived value, while the perceived price and perceived promotional benefits significantly affect perceived value in the Marketing Mix group. The perceived price has the highest effect on the perceived value and customer loyalty, while the perceived value has a significant effect on customer loyalty. Finally, it was found that the customer is more sensitive to the price than quality in using electronic money.

• The Journal of Information Systems
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• v.8 no.2
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• pp.91-110
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• 1999

Recently, searching agent systems to help purchase of products between business and customer have been actively studied in Electronic Commerce(EC). However, the most of comparative searching agent systems are only provided customers with searching results by the keyword-based search, and is not support the efficient decision models to be selected products considering the customer's requirements. This paper proposes the decision agent system applied decision model as well as searching functions based on the keyword-input to be selected useful products in EC. The proposed decision agent system is consist of the user interface, provider interface, decision model. Especially, as the example of the decision model, this paper is designed and implemented the prototype of decision agent system which is normalized the searching data and value of customer's preference weight as to each attribute, and orderly provided customers with computed results. This agent system is also carried out sensitive analysis according to the reflection ratio of the each attribute.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.237-244
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• 2011

Opinion Mining summarizes with classifying sensitive opinions of customers in huge online customer reviews for the attributes of products or services by positive and negative opinions. Because the customers represent their interests through subjective opinions as well as objective facts, the existing opinion mining techniques, which can analyze just the sensitive opinions, need to be expanded.. In this paper, We propose the novel entity association network model which expands the existing opinion mining techniques. The entity association model can not only represent positive and negative degree of the sensitive opinions, but also can represent the degree of the associations and relative importances between entities. We designed and implemented the customer reviews analysis system based on the entity association network model. We recognized that the system can represent more abundant information than the existing opinion mining techniques.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.197-208
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• 2020

Social enterprises are entities to pursue solving societal problems with maintaining commercial viability. In order for a social enterprise to achieve commercial viability, it must be able to provide products that consumers can satisfy, to make social enterprise trustable, and to establish a lasting relationship with customers. This study suggests that perception of value congruence, price fairness and service quality will affect customer performance such as trust, satisfaction and customer loyalty. And this structural relationship was confirmed through structural equation modelling. The empirical results show that customer trust and satisfaction can be improved when the value congruence is high and service quality is high. Meanwhile, the perception of price fairness has a negative effect on customer trust. However, considering the influence of price fairness on customer satisfaction, the total effect of price fairness on trust is not significant. This result implies that customers are less sensitive to social enterprise product prices than general companies. And customer satisfaction for the social enterprise is positively affecting trust and loyalty, and customer trust is also positively affecting customer loyalty. After the empirical analysis, this study suggests implications for social enterprises to improve customer performance and secure commercial viability.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.1-4
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• 2019

This study to investigate Mobile service quality factors influencing on customer satisfaction and repurchase intention for the research purpose. This study collected data by a survey method for an empirical. A total of 340 replies were used for data analysis. While 340 replies were collected from Chinese users of Mobile e-commerce. Our results support previous researches to results of SPSS analysis all of the 7 hypotheses, 4 hypotheses are adopted and 3 are deleted. After an empirical analysis of this study, the academic implications are as follows. As there have not been many academic studies related to mobile commerce quality, this study can be a meaningful framework when quality factors associated with mobile commerce are being analyzed. This paper as the mobile commerce industry is very sensitive to environmental changes, academic research that can be used to cope with these changes is continuously required. Further studies should be carried out to overcome limitations that have not been analyzed by this study.

• Journal of Korean Institute of Industrial Engineers
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• v.25 no.3
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• pp.351-359
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• 1999

We present a new approach to the analysis of mobile cellular communication systems under the environment of mixed platforms adopting a guard channel scheme. We assume general cell residence time distributions according to platform-types. Our system model is based on a heterogeneous M/G/c loss system with customer-dependent guard channels, where heterogeneous customers with different service time distributions have different numbers of their own guard channels. We develop the general formula of steady state probabilities for the heterogeneous M/G/c loss system with customer-dependent guard channels. The mean channel occupancy times of new and handoff calls are rigorously derived under a general setting. Finally, our numerical results show that the blocking probability and the forced termination probability are sensitive to the cell residence time distributions.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.8
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• pp.99-103
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• 2009

This paper presents equipment that can exchange watt-hour meters without outage for customers, It is simpler than other methods to avoid outage during exchange. Furthermore, it has protective function to ensure customer's facility from engineer mistake. Because of good point mentioned above, it can improve efficiency and safety. Adopting developed equipment can ensure continuous electric power supply to customers.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.10-12
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• 2001

This paper presents a study of transient overvoltages caused by capacitor switching on the utility distribution system. Capacitor banks used for power factor correction and voltage regulation can improve efficiency of the power system. But transient voltages due to capacitor switching on the utility system affect the sensitive customer load equipments. If Distributed Generation System (DGS) is involved in the system, the problems become more serious. In this paper, effect of transient voltages at the customer load created by utility capacitor switching is analyzed by simulations Solutions to this problem are presented.

• Journal of the Korean Home Economics Association
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• v.44 no.5 s.219
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• pp.21-33
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• 2006

The purpose of this study were 1) to analyze customer relationship management(CRM) based on the online customer experiences by product types (i.e., men's, women's, casual, sports wear), 2) to analyze CRM based on the off-line customer experiences by product type, and 3) to examine customer purchase behavior of fashion products and internet usage behavior by product types. Survey and 1:1 interview were conducted from January 13th to May 16th, 2005. Six consumers from each brand (i.e., 3 loyal customers and 3 general customers) in a total of 24 customers were selected from each product type. For the data analysis, content analysis and descriptive statistics (i.e. frequency) were used. Among the key study findings first, as a result of the on-line CRM experience, the customers of men's wear preferred receiving customized information through e-mail or SMS service. The customers of sports wear preferred receiving a different level of information and participating in customized product service. Second, as a result of the off-line CRM experience, the customers of men's wear need to be encouraged to join a membership at a sales encounter and the customers of women's wear preferred receiving quick information of new products and participating in a design development planning of the merchandising process. Third, the purchasing behavior of the customers of women's wear are influenced mostly by the salesperson and the store atmosphere when they purchase clothes and the customers of men's wear are price-sensitive. The results of this study can be used when fashion brands perform strategic planning and decision making on CRM.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.324-325
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• 2011

This paper addresses the assessment of voltage sag costs based on the stochastic prediction of voltage sags. When voltage sags below a certain voltage threshold occur at sensitive industrial process, the industrial customer will experience financial damage. In order to mitigate voltage sag costs and devise efficient solutions to mitigate damage, a study on the financial loss assessment of voltage sags is basically needed. In order to assess the voltage sag costs, the expected sag frequency at a sensitive load point should be calculated by using the concept of the area of vulnerability and historical fault statistics. Then, financial loss due to voltage sags can be obtained by multiplying the expected sag frequency by the cost per sag event.