CALS/EC is about doing business electronically. It is based on the electronic processing and transmission of data, including text, sound and video. It encompasses many diverse activities including electronic trading of goods and services, online delivery of digital content, electronic fund transfers, electronic share trading, electronic bills of lading, commercial auctions, collaborative design and engineering, online sourcing, public procuremet, direct consumer marketing, and after-sales service. It involves both products(e.g. consumer goods, specialised medical equipment) and services(e.g. information services, financial and legal services); traditional activities(e.g. healthcare, education) and new activities (e.g. virtual malls). CALS/EC will be emerging to replace and substitute the role of the conventional market. By changing and eliminating some processes of the transactions, the electronic market and the electronic commerce will redistribute the power and hence the benefits of the market activities. Traditional way of doing business may enter into the new electronic market because the role and function of trust and established reputation will be reinforced in the electronic market. The CALS/EC through the Internet has been in the spotlight in the shopping behavior of the consumers. Accordingly Corporates are trying to adapt themselves to those rapidly changing environments being affected by the Internet. Among others, particularly to be noted is the CALS/EC between corporations and consumers whose potential growth can be considered very substantial. This report, focusing on the introduction of CALS/EC for the logistics of SMEs, will allow us to prepare more efficiently for the coming 21st Century. It is obvious that CALS/EC is fast becoming the useful way of exchanging not only information but products in business between firm-to-firm and firm-to-customer.
There have been rapid changes in the pharmaceutical environment after the separation of Dispensing and Prescribing practice. In the early stage of this system, outpatients had few options to choose their pharmacies due to various obstacles. Under these circumstances, this study on the defection tendency of long-term care patients was performed through the analysis of outpatients who quit visiting a pharmacy nearby general hospital. PowerBuilder ver 9.0 program was used to extract significant data, and SPSS package was employed for statistic analysis. 3,308 outpatients who visited a pharmacy nearby hospital for a month (in January, 2004) were studied. Patients' sex, age and location of residence, the class of medical insurance, the characteristic type of medication (powder, split form, medication for external use/injection), waiting time, disease (department) were considered as variable factors. It turned out that the patient revisit ratio was 80.8$\%$ and the patient defection ratio was 32.4$\%$. As was expected, those factors mentioned above influenced on the revisit and defection ratio considerably. In terms of patient factors, it proved that there was no relationship among sex, location of residence, the class of medical insurance and revisit (defection) ratio. Only age factor influenced the ratio; the older, the higher revisit ratio and the less defection ratio. In respect of dispensing factors, there were obvious relationships among the factors and the ratio: bill (money they had to pay individually), waiting time, number of medications, splitting of tablets, unit price of drug and revisit (defection) ratio showed significant relationship. The result of this study revealed an aspect of outpatients' behavior and it could be used as a reference for better patient service and customer relationship management.
CALS/EC is about doing business electronically. It is based on the electronic processing and transmission of data, including text, sound and video. It encompasses many diverse activities including electronic trading of goods and services, online delivery of digital content, electronic fund transfers, electronic share trading, electronic bills of lading, commercial auctions, collaborative design and engineering, online sourcing, public procuremet, direct consumer marketing, and after-sales service. It involves both products(e.g. consumer goods, specialised medical equipment) and services(e.g. information services, financial and legal services); traditional activities(e.g. healthcare, education) and new activities (e.g. virtual malls). CALS/EC will be emerging to replace and substitute the role of the conventional market. By changing and eliminating some processes of the transactions, the electronic market and the electronic commerce will redistribute the power and hence the benefits of the market activities. Traditional way of doing business may enter into the new electronic market because the role and function of trust and established reputation will be reinforced in the electronic market. The CALS/EC through the Internet has been in the spotlight in the shopping behavior of the consumers. Accordingly Corporates are trying to adapt themselves to those rapidly changing environments being affected by the Internet. Among others, particularly to be noted is the CALS/EC between corporations and consumers whose potential growth can be considered very substantial. This report, focusing on the introduction of CALS/EC for the logistics of SMEs, will allow us to prepare more efficiently for the coming 21st Century. It is obvious that CALS/EC is fast becoming the useful way of exchanging not only information but products in business between firm-to-firm and firm-to-customer.
Journal of Korean Society of Industrial and Systems Engineering
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v.40
no.4
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pp.137-146
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2017
For the competitive business environment under purchase dependence, this paper proposes a new approximate calculation of order fill rate which is a probability of satisfying a customer order immediately using the existing inventory. Purchase dependence is different to demand dependence. Purchase dependence treats the purchase behavior of customers, while demand dependence considers demand correlation between items, between regions, or over time. Purchase dependence can be observed in such areas as marketing, manufacturing systems, and distribution systems. Traditional computational methods have a difficulty of the curse of dimensionality for the large cases, when deriving the stationary joint distribution which is utilized to calculate the order fill rate. In order to escape the curse of dimensionality and protect the solution from diverging for the large cases, we develop a greedy iterative search algorithm based on the Gauss-Seidel method. We show that the greedy iterative search algorithm is a dependable algorithm to derive the stationary joint distribution of on-hand inventories in the retailer system by conducting a comparison analysis of a greedy iterative search algorithm with the simulation. In addition, we present some managerial insights such as : (1) The upper bound of order fill rate can be calculated by the one-item pure system, while the lower bound can be provided by the pure system that consists of all items; (2) As the degree of purchase dependence declines while other conditions remain same, it is observed that the difference between the lower and upper bounds reduces, the order fill rate increases, and the order fill rate gets closer to the upper bound.
Journal of the Korea Institute of Information Security & Cryptology
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v.25
no.3
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pp.615-625
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2015
This paper proposes new methods and examples for improving fraud detection rules based on banking customer's transaction behaviors focused on anomaly detection method. This study investigates real example that FDS(Fraud Detection System) regards fraudulent transaction as legitimate transaction and figures out fraudulent types and transaction patterns. To understanding the cases that FDS regard legitimate transaction as fraudulent transaction, it investigates all transactions that requied additional authentications or outbound call. We infered additional facts to refine detection rules in progress of outbound calling and applied to existing detection rules to improve. The main results of this study is the following: (a) Type I error is decreased (b) Type II errors are also decreased. The major contribution of this paper is the improvement of effectiveness in detecting fraudulent transaction using transaction behaviors and providing a continuous method that elevate fraud detection rules.
The purpose of this study is to examine the market segments of Korea specialty coffee shops based on the benefit variables by customers when they visit a coffee shop. For this study, SPSS WIN 17.0 was used for the frequency analysis, factor analysis, reliability test, cluster analysis, one-way ANOVA and cross tabulation. Benefit factors were divided into atmosphere factor, value factor, marketing factor, cleanliness & comfort factor, and service factor. Three distinct segments of customers were identified: passive benefit seekers, marketing benefit seekers and emotion benefit seekers. In order to explore differences between clusters and demographic and behavior variables, cross tabulation were used. These findings could be helpful for the marketers who need to establish a marketing strategy for grasping the characteristics of market segments and generating profits.
Due to the advance of computer and communication technology, intrusions or crimes using a computer have been increased rapidly while tremendous information has been provided to users conveniently Specially, for the security of a database which stores important information such as the private information of a customer or the secret information of a company, several basic suity methods of a database management system itself or conventional misuse detection methods have been used. However, a problem caused by abusing the authority of an internal user such as the drain of secret information is more serious than the breakdown of a system by an external intruder. Therefore, in order to maintain the sorority of a database effectively, an anomaly defection technique is necessary. This paper proposes a method that generates the normal behavior profile of a user from the database log of the user based on an association mining method. For this purpose, the Information of a database log is structured by a semantically organized pattern tree. Consequently, an online transaction of a user is compared with the profile of the user, so that any anomaly can be effectively detected.
Journal of the Korea Institute of Information Security & Cryptology
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v.27
no.6
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pp.1431-1439
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2017
In the security field, log analysis is important to detect malware or abnormal behavior. Recently, image visualization techniques for malware dectection becomes to a major part of security. These techniques can also be used in online games. Users can leave a game when they felt bad experience from game bot, automatic hunting programs, malicious code, etc. This churning can damage online game's profit and longevity of service if game operators cannot detect this kind of events in time. In this paper, we propose a new technique of PNG image conversion based churn prediction to improve the efficiency of data analysis for the first. By using this log compression technique, we can reduce the size of log files by 52,849 times smaller and increase the analysis speed without features analysis. Second, we apply data mining technique to predict user's churn with a real dataset from Blade & Soul developed by NCSoft. As a result, we can identify potential churners with a high accuracy of 97%.
E-Learning is another way of teaching and learning. E-learning is a networked phenomenon allowing for instant revisions and distribution, and goes beyond training and instruction to the delivery of information and tools to improve performance. The benefits of e-learning are many, including cost-effectiveness, enhanced responsiveness to change, consistency, timely content, flexible accessibility, and providing customer value. The proponents of e-learning stress the importance of using communities of interest to support and enhance the learning process. They also emphasizes that people learn more effectively when they interact and are involved with other people participating in similar endeavors. Although the role of e-learning in higher education has significantly increased, the resistance to new technology by professors and lecturers in university and colleges worldwide remains high. The purpose of this study is to identify the determinants of attitude and planned behavior toward e-learning class in universities. A survey methodology was used to investigate a proposed model of influence, and structural equation modeling was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that attitude toward e-learning systems is mostly influenced by the perceived ease of use as well as the level of perceived usefulness, where both factors are influenced by years of experiences in using cyber system and the technical support level. As in other TAM related research, it can be concluded that the perceived ease of use and perceived usefulness contribute to the future use of e-learning system.
For modern man and woman, footwear is considered a fashion for expressing oneself, and not merely a protective tool for the feet. The purpose of this research is to increase the effect of sales promotional activities by emphasizing product image and by enhancing sales environment. Towards this end, this research focuses on the study of environment at footwear stores that meet the challenges incurred by the changing lifestyles of consumers and the ensuing dynamics of the society in general. Research is based on an in-depth, thorough study of the previous research works and entails examining theoretical background and the concept of Visual Merchandising Display (VMD). Research will focus on the analysis of current situation at footwear stores located in department store based on material research on footwear stores and theoretical examination. Research on the current situation of footwear stores at department store will be conducted from the VMD perspective. In the end, this research paper will make suggestions on the VMD measures for footwear stores with the aim of increasing sales by satisfying consumers' sensibility and purchasing desire. Suggestions will be made based on the results of the research. -Study of current VMD status per fixture centered on 18 brands at department store -Suggestions for VMD at footwear stores based on the survey results of customer purchasing behavior This research intends to develop structured VMD methodology for footwear stores based on the research centered on VMD research of footwear stores at department store. Significance of this research lies in its aim to contribute to the sales increase, no matter how trivial it might be. Going a step further, this research work could be considered one of the foundations for defining the role of VMD methodology at footwear stores. Suggested results are as follows. (1) Need to cast away from simple, one-dimensional type of display method at footwear stores and transform into product image oriented VMD (2) Need to highlight product image by fully leveraging props and by developing footwear display methods that are suitable for different types of fixtures (3) Need to stabilize VMD by developing footwear manual that enables efficient management by store operator.
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