• Korean Security Journal
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• no.20
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• pp.141-177
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• 2009

The purpose of this study is to identify the effects of service orientation perceived by employees of security companies on service quality and management performance based on service orientation theory. To test this, 345 participants were sampled from the security companies located in Seoul and Gyeonggi area using stratified cluster random sampling, and then frequency analysis, exploratory factor analysis, t-test, one-way ANOVA analysis and path analysis of the resulting data were conducted using SPSS 15.0 program. Conclusions derived from the aforementioned analytical methods are as follows: there were difference in service orientation according to demographic characteristics. And results from analyses showed that service leadership, which is sub factor of service orientation, was highly evaluated by the male group, and the customer service, by the participants of having college education and more, and the service system, by the group of the income bracket between 1.51 and 2 Million Won.

• Journal of Korea Port Economic Association
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• v.31 no.3
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• pp.15-39
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• 2015

This paper investigates the determinants of port service quality from a resources-based approach. The research model is derived from the relevant literature in port management, service quality, and resource-based theory. It is hypothesized that tangible and intangible resources contribute to port service quality, which in turn leads to the enhancement of reputation and loyalty to ports. To test this, a questionnaire survey is undertaken on three major ports in Korea: Busan, Incheon, and Gwangyang; the collected data are then analyzed using partial least squares. It is suggested that both tangible resources and intangible resources have a positive influence on general service quality and that general service quality has a positive influence on customer satisfaction, thus improving port reputation and loyalty. The contribution to the literature is that resource-based theory is applied to a port service quality model and the model is verified. In addition, an augmented model is adopted to examine the effect of individual resources on service quality. It is also possible for port managers to use the constructs to monitor their resources and develop more specific strategies to gain reputation and loyalty from customers.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.151-162
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• 2015

A theme park is a complex space, in which held is a performance & exhibition event created to make visitors feel fun and a deep impression through a certain theme. Recently, local governments are increasingly planning for theme parks with the aim of local economy revitalization. Accordingly, this paper set up a development model for a Korean culture theme park after deducting success factors for creating a successful theme park through the case of Korean culture theme park. To be concrete, this paper deducted the success factors through literature research and case research as follows: Setting of themes having identity and consistency; programs that can give fun and a deep impression; convenient support facilities reflecting customers' needs; differentiated marketing for progress in customer attraction power; location linked with cultural resources around a theme park and a space for communicating a message; privately-initiated project promotion and the main body of operation; target setting consequent on market segmentation, and demand forecast, etc. A theme park cannot be successfully operated to contribute to local economy revitalization until such success factors should be closely linked and harmonized with each other. In addition, in order for a theme park to make a continued growth, it's required that problems occurring at the operational stage should be endlessly improved, and contents strengthening should be continuously done in line with circumstances of the times and viewers' eye level.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.72-82
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• 2018

In this paper, we identify risk factors that are likely to occur during the lifecycle of a new product development (NPD) project from the literatures, and identify the three objectives or three constraints that will ultimately be achieved for project success in the ICT industry : performance (scope/quality), schedule (time), and cost. Firstly, we interviewed the project experts to classify the risk factors according that the final project objectives are changeable based on scope/quality, time and cost budget constraints. Secondly, the survey for pairwise comparisons between the risk factors was asked to the project managers and members who had ever actually participated in the NPD projects of ICT industry to determine the priority ranks on relative importance using AHP (Analytic Hierarchy Process). The risk factors negatively affecting the goals of projects were analyzed by using the AHP respectively in four project stages during the life cycle of the project. The comparison of risk factors within each stage is a different approach unlike the literatures which have covered project's overall risk assessment. There is an advantage that risk management can be effectively performed with priorities according to each stage from the start to the end of the project. In other words, it is necessary to identify what risk factors will occur in each stage, and to have ideas at each stage with the priorities so that they can be mitigated and eliminated before actual occurrence. As a result, risks on scope & quality changes were found to be the most important considerations for initiative stage of NPD projects in the ICT industry, whereas in the final stage, risks on schedule (time) changes were the most important priorities. Among the ICT industry product categories, 'communication and broadcasting devices' and 'IT and communication based devices' generally have a high priority in terms of risks on scope & quality changes when initiating the project. At the closing stage of the project, however, considering that schedule (time) changeable risk is getting higher, these products tend to target at B2B market rather than B2C because the new products must be delivered and launched in time as customer firm required.

• Korean Business Review
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• v.19 no.2
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• pp.183-206
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• 2006

Recently, the notion of "increasing returns" has been popular not only in academia but also in industries. This notion has been drawn from prior research on network effects, which showed that the market evolution would lock in to a dominant technology. However, the long history of technological change has rarely shown the possibility of lock-in to an inferior technology. How could the market with network effects make transition between incompatible technologies regimes by escaping the lock-in? This paper analyzes the effectiveness of R&D and technological choice to investigate the sources of the dynamic capabilities in the presence of network effects and uncertain technological progress. Why does the market sometimes work against a radical technology, and why, at other times, does the market operate in favor of it? This study is to address this question by modeling the situation of two competing technologies in the presence of network effects. The numerical analysis indicates that the evolution strategy of compatibility is more likely to increase the chance of firm growth when a majority of customers are not power users or when demand for an old technology has been escalated. But when there are a substantial number of power users or when a new technology emerges before such an escalation of demand, the revolution strategy of compelling performance is more likely to be effective. The result suggests a potential mechanism for overcoming the lock-in problem. When the market exhibits some inertia to an obsolete technology, which is reinforced by the increasing customer value with respect to backward compatibility, the survival of a new technology depends on power users. When many power users are cultivated by firms' technological efforts regarding the new technology, the market is less likely to lock into an obsolete technology. Indeed, in the workstation market, where power users characterize much of the demand, innovators like Sun successfully switched to the RISC architecture.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.535-542
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• 2013

Since case-based reasoning(CBR) has many advantages, it has been used for supporting decision making in various areas including medical checkup, production planning, customer classification, and so on. However, there are several factors to be set by heuristics when designing effective CBR systems. Among these factors, this study addresses the issue of selecting appropriate neighbors in case retrieval step. As the criterion for selecting appropriate neighbors, conventional studies have used the preset number of neighbors to combine(i.e. k of k-nearest neighbor), or the relative portion of the maximum similarity. However, this study proposes to use the absolute similarity threshold varying from 0 to 1, as the criterion for selecting appropriate neighbors to combine. In this case, too small similarity threshold value may make the model rarely produce the solution. To avoid this, we propose to adopt the coverage, which implies the ratio of the cases in which solutions are produced over the total number of the training cases, and to set it as the constraint when optimizing the similarity threshold. To validate the usefulness of the proposed model, we applied it to a real-world target marketing case of an online shopping mall in Korea. As a result, we found that the proposed model might significantly improve the performance of CBR.

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.163-172
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• 2012

Collaborative filtering which is used explicit method in a existing recommedation system, can not only reflect exact attributes of item but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. This paper proposes the personalized recommendation system using RFM method and k-means clustering in u-commerce which is required by real time accessablity and agility. In this paper, using a implicit method which is is not used complicated query processing of the request and the response for rating, it is necessary for us to keep the analysis of RFM method and k-means clustering to be able to reflect attributes of the item in order to find the items with high purchasablity. The proposed makes the task of clustering to apply the variable of featured vector for the customer's information and calculating of the preference by each item category based on purchase history data, is able to recommend the items with efficiency. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.

• Journal of Service Research and Studies
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• v.7 no.2
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• pp.1-16
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• 2017

The service that has been recognized as both a non-productive activity and auxiliary activity of manufacturing have become the driving force of the customers' demand with the 'service' itself. The service base is expanding and evolving rapidly. It is important to look at changes in service concepts to understand service systems. Because the service system itself has a cyclic nature based on the concept of service, it can help in the study and the "how" of service by looking at changing the system according to the evolution of the service concept. The ability to organize and utilize relationships is considered to be an important factor for managers in the service economy era. However, the attention of corporate is focused on their internal capabilities and they are familiar with external resources (knowledge and competence of customers). In this case study for each type of service, we analyzed the activities of interacting service providers-consumers in service relationship, and constructed a new service system model emphasizing intangible value and long-term outcome. This study is worth re-examining the role of customers in today's service economy era and actively utilizing a new service model for business performance.

• 대한공업교육학회지
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• v.44 no.2
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• pp.86-103
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• 2019

The purpose of this study is to provide basic data on the development of education and training programs for training 'mechanical facilities maintenance manager'. To this end, the DACUM technique was used for job analysis and education and training programs were developed through expert consultation meetings. The job analysis was based on the 10-member DACUM Committee to derive the job definition, job model, job description, and task description of the 'mechanical facilities maintenance manager'. The main findings are as follows. First, the 'mechanical facilities maintenance manager' was defined as those who operate, inspect, diagnose, and repair mechanical facilities to provide the best performance and efficient operation management, provide a safe and pleasant environment, and perform energy saving and facility life extension tasks. Second, the duties of the 'mechanical facilities maintenance manager' analyzed in the job model consist of the comprehensive plan for operation of mechanical facilities, energy management of mechanical facilities, operation management of mechanical facilities, maintenance of mechanical facilities, safety environment management of mechanical facilities, and customer support management of mechanical facilities. Considering the nature and content of the duties, 4 to 11 tasks per duty were derived and a total of 33 tasks were presented as job model. Third, the curriculum for the 'mechanical facilities maintenance manager' was set up in two courses: Practice I for Mechanical Facilities Maintenance and Practice II for Mechanical Facilities Maintenance. Considerations and policy suggestions were presented when applying and implementing education and training programs based on the results of the research.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.137-153
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• 2003

Comparison shopping is the most popular functionality in the e-Marketplace. Most of their revenue has been generated kent the Internet advertisement, but the ad earning was declined as the ad costing per action method widespread. Seller less familiar to the customer shrinks from chances for advertising and exposing their products. So, we need an efficient methodology subject to the seller's ad budget and other constraints, and it also has to increase comparison broker's earning in the e-Marketplace. Our research proposed and developed an ad planning methodology using comparison challenge approach which can be applied by 3$^{rd}$ party comparison brokers. Comparison challenge planning is organized with challenge policy of competitor level, product level and specification level. With that policies and basic challenge propositions, we measure the quantified value of functional distance between the specifications of my product and competitor's product. My product challenges the comparison using the comparative ad format to the similar but inferior competitor's product based on quantified valuation. Comparison challenge planning system has two phases of comparative value generation and optimization. We developed a prototype system and applied it to the desktop PC market of five major manufacturers. Our performance was emphasized by comparing to other comparative ad methods such as random display method and minimum distance method..