• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.185-192
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• 2012

Call Center requires an ability of agents a lot more than face-to-face contact due to being achieved communication by non face-to face channel for contact with customers. In order to improve the ability of agents, Call Center carries out various educational training according to their work experience and function and with the accomplishment of educational training, Call Center is going to fulfill to develop its quality of counseling and productivity. On the other hand, due to investment of a lot of time and budget to educational training, it is needed to grasp and manage about its effectiveness that how helpful the training is for performance of work-site operations through evaluation of educational training. Having Seen researches about evaluation of educational training until these days, most researches have mainstream to measure satisfaction and a level of learning or degree that how the learning transfers to actions. It is found that a research about an entire evaluation model should be required. This study aims to investigate effectiveness of Call Center educational training from the level of recognition by reflecting Kirkpatrick's the four levels of learning evaluation. By the four levels, reaction, learning, behavior and results, the study found out a connection with standards of evaluation about each levels. In addition, by using structural equation modeling, it was examined goodness of fit about the entire model. Furthermore, by an alternative model, considering a direct relation between a factor of reaction and behavior, it was compared and examined goodness of fit of overall model of the study model and the alternative one.

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.75-94
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• 2011

This paper is concerned about applying the AHP(Analytic Hierarchy Process) for a priority analysis of equipment operation plan to improve productivity of the container terminal in Gwangyang port. In this study, main elements of container terminal are assumed as into yard equipment area, transport equipment area, berth equipment area and C/Center area. A questionnaire is used to collect the opinions of equipment operating department and operational planning department. On the whole, the result of the analyses reveals that the most important area is yard equipment area. Examining each department is responses, equipment operating department preferred the C/Center area to other areas, on the other hand, operational planning department preferred yard equipment area. The result of this study suggests some guidelines for deciding priority of operation plan in the container terminal.

• Management & Information Systems Review
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• v.36 no.1
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• pp.309-327
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• 2017

Recently the importance of emotional labor has increased so this study aims to prove the effects of emotional labor(surface acting and deep acting) on counterproductive work behaviors(deviate from organization and individual deviation) using burnout(emotional exhaustion, personality disorder, decrease in sense of accomplishment) as a medium. 350 surveys were sent to employees such as workers from call centers, salesperson from department store, financial worker, hospital staff, flight attendant and workers from customer center who and worked with emotional labor and 300 surveys excluding insincere ones were used for analysis. The result is as follows. First, surface acting which is a type of emotional labor chosen by customer workers had a positive effect on burnout such as personality disorder and decrease in sense of accomplishment. Second, deep acting had a negative effect on personality disorder and decrease in sense of accomplishment but did not show any effect on emotional exhaustion. Third, personality disorder and decrease in sense of accomplishment among burnout had effect on counterproductive work behaviors(deviate from organization, individual deviation) but emotional exhaustion did not show any effect on work behaviors(deviate from organization, individual deviation). Based on the result of analysis, implication of this study and direction of future research were suggested.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.5
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• pp.1153-1164
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• 2012

In this paper, we propose an efficient car management system based on object-oriented modeling using car number recognition and smart phone. The proposed system perceives car number of repair vehicle after recognizing the licence plate using an IP camera in real time. And then, existing repair history information of the recognized car is be displayed in DID. In addition, maintenance process is shooting video while auto maintenance mechanic repairs car through IP-camera. That will be provide customer car identification and repairs history management function by sending key frames extracted from recorded video automatically. We provide user graphic interface based on web and mobile for your convenience. The module design of the proposed system apply software design modeling based on granular object-oriented considering reuse and extensibility after implementation. Car repairs center and maintenance companies can improve business efficiency, as well as the requested vehicle repair can increase customer confidence.

• Journal of Information Technology and Architecture
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• v.11 no.1
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• pp.45-52
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• 2014

Recently, more and more hospitals have become interested in the innovation of healthcare services and processes through IT convergence based on RFID, NFC, smart devices and so on. This paper presents a case of process innovation by implementing a smart health checkup system using these advanced information technologies. The existing inefficient health checkup process based on the paper chart and manual work has been innovated using the advanced information and communication technologies. The newly developed smart health checkup system has been used successfully in a tertiary university hospital named Samsung Medical Center since April 2013. The contributions of the system include improvement of service quality, enhancement of customer satisfaction, reduction in workload of staffs, improvement of work accuracy, and accordingly reinforcement of the competitiveness of the hospital.

• Knowledge Management Research
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• v.17 no.3
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• pp.93-116
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• 2016

Knowledge, as a source of firm's competitive edges, has been drawing attention, while numerous enterprises are investing huge amount of assets to foster the right environments for executing knowledge management (KM). As a practical way of such KM, knowledge management systems (KMS) support the creation, diffusion, and utilization of knowledge, which are the tools for practicing such management style. Recently, the customer centers which make the closest contact with the customers are being concerned about the establishment of KMS. Considering the characteristics of real-time problem solving in customer centers during the consultation with the customers, the importance of KMS is paramount to the centers. This study analyzes major factors influencing the success and utilization of the customer center KMS's reestablishment, as an exploratory case study of the reestablishment of KMS in the customer center of K insurance company. First, the characteristic differences between the customer center's KMS and the traditional KMS are discussed, and the triangulation technique is applied to secure objectivity of this case study's findings. Major results of the case study state that, for the success of KMS and improvement of utilization, the followings should be considered preferentially: excellent system quality (accessibility, user convenience, easy searching, speed/menus); high information quality (accuracy, usefulness, timeliness, task-relevance, diversity, degree of specification); appropriate operation strategy and process for the utilization of system (education, training opportunity, appropriate personnel, speed and procedure of approval, compensation/evaluation); and change management via the support from the CEO's level (concern and participation of CEO, will to propel the project, investment, advertisement, etc.). This study provides practical suggestions with respect to factors which should be more carefully dealt with, since still many customer centers have hard time establishing and operating KMS due to lack of previous studies.

• Journal of Information Technology and Architecture
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• v.10 no.2
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• pp.273-281
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• 2013

Smart work can classify three types. First, mobile office equipped with a portable computer and connect to the company servers and Intranet via mobile phones. Second, home working using video conference system. Third, smart work center. Smart work has enabled us to work efficiently, to work anytime and to work anywhere, beyond conventional office working. This paper presents development processes of a smart work for After Service Business, especially, for the elevator industry. we called implemented mobile office system "A/S work". A/S work using mobile devices has some advantages as compared with previous system. 1) Before/After photo management function 2) Assessment process of customer satisfaction 3) The work history management app. 4) The inquiry and confirmation function to current status of all workers 5) The group SMS function sending selected workers. 'M' elevator company has used A/S work as efficient smart work system.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.401-412
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• 2011

The premium outlets have come into the spotlight as the new type of shopping facility different from the typical ones. Along with both the economical consumption trend and high-end brand preference of consumers, the development of outlet shopping center has become an important issue for many retail facility development companies in Korea, This study examines the shopping behavior of potential customers to build up the basic information (preliminary data) for successful development of premium outlet. To achieve this research purpose, this study surveys 1,300 consumers of Seoul and metropolitan area residents, and analyzes survey data by using PASW 18.0. This study shows various shopping behavior of outlet shoppers such as visiting frequency, reason for visiting, shopper group size, time spent in outlet, past shopping experience, luxury-brand shopping experience and so on. This study classifies outlet shoppers into premium outlet shoppers and general outlet shoppers and examines their shopping behavior. This study suggests meaningful insights for outlet shopping center developer.

• Journal of the Korean Society of International Agriculture
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• v.30 no.4
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• pp.305-312
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• 2018

Clubroot, caused by Plasmodiophora brassicae, is one of the most crucial disease in Kimchi cabbage. Screening disease resistant genetic resources is necessary to develop disease resistant cultivars and conduct related research. We have evaluated the development of clubroot to the 120 genetic resources of Kimchi cabbage introduced from World Vegetable Center and five Asian countries using isolate of Plasmodiophora brassicae collected in Haenam fields in Jeollanam-do Province, Rep. of Korea. This isolate was determined race 2 using differential varieties reported by Kim et al., 2016. IT100384 and IT305623 showed strong resistance, lower than disease index (DI) 1.0. IT100385, 100439, and 135407 showed moderate resistance (1.0

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.55-79
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• 2013

In this paper, we propose a hybrid genetic algorithm (HGA) approach to effectively solve the reverse logistics network with centralized centers (RLNCC). For the proposed HGA approach, genetic algorithm (GA) is used as a main algorithm. For implementing GA, a new bit-string representation scheme using 0 and 1 values is suggested, which can easily make initial population of GA. As genetic operators, the elitist strategy in enlarged sampling space developed by Gen and Chang (1997), a new two-point crossover operator, and a new random mutation operator are used for selection, crossover and mutation, respectively. For hybrid concept of GA, an iterative hill climbing method (IHCM) developed by Michalewicz (1994) is inserted into HGA search loop. The IHCM is one of local search techniques and precisely explores the space converged by GA search. The RLNCC is composed of collection centers, remanufacturing centers, redistribution centers, and secondary markets in reverse logistics networks. Of the centers and secondary markets, only one collection center, remanufacturing center, redistribution center, and secondary market should be opened in reverse logistics networks. Some assumptions are considered for effectively implementing the RLNCC The RLNCC is represented by a mixed integer programming (MIP) model using indexes, parameters and decision variables. The objective function of the MIP model is to minimize the total cost which is consisted of transportation cost, fixed cost, and handling cost. The transportation cost is obtained by transporting the returned products between each centers and secondary markets. The fixed cost is calculated by opening or closing decision at each center and secondary markets. That is, if there are three collection centers (the opening costs of collection center 1 2, and 3 are 10.5, 12.1, 8.9, respectively), and the collection center 1 is opened and the remainders are all closed, then the fixed cost is 10.5. The handling cost means the cost of treating the products returned from customers at each center and secondary markets which are opened at each RLNCC stage. The RLNCC is solved by the proposed HGA approach. In numerical experiment, the proposed HGA and a conventional competing approach is compared with each other using various measures of performance. For the conventional competing approach, the GA approach by Yun (2013) is used. The GA approach has not any local search technique such as the IHCM proposed the HGA approach. As measures of performance, CPU time, optimal solution, and optimal setting are used. Two types of the RLNCC with different numbers of customers, collection centers, remanufacturing centers, redistribution centers and secondary markets are presented for comparing the performances of the HGA and GA approaches. The MIP models using the two types of the RLNCC are programmed by Visual Basic Version 6.0, and the computer implementing environment is the IBM compatible PC with 3.06Ghz CPU speed and 1GB RAM on Windows XP. The parameters used in the HGA and GA approaches are that the total number of generations is 10,000, population size 20, crossover rate 0.5, mutation rate 0.1, and the search range for the IHCM is 2.0. Total 20 iterations are made for eliminating the randomness of the searches of the HGA and GA approaches. With performance comparisons, network representations by opening/closing decision, and convergence processes using two types of the RLNCCs, the experimental result shows that the HGA has significantly better performance in terms of the optimal solution than the GA, though the GA is slightly quicker than the HGA in terms of the CPU time. Finally, it has been proved that the proposed HGA approach is more efficient than conventional GA approach in two types of the RLNCC since the former has a GA search process as well as a local search process for additional search scheme, while the latter has a GA search process alone. For a future study, much more large-sized RLNCCs will be tested for robustness of our approach.