• Journal of Family Resource Management and Policy Review
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• v.2 no.1
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• pp.133-149
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• 1998

The purpose of this study was to analyze the expenditure state of midlife households for elderly life stage and to find out the variables that have influence upon these expenditure. The findings are follows: 1) The expenditure state was influenced by various as like wife’s age, couple’s education, number of children, husband’s retiring allowance, monthly savings, whole assets of households, level of dependence upon own children, etc. 2) The demand for economic preparation, program about elderly life, information and welfare system was related to the practical expenditure state absolutely and relatevely. The result showed that the husbands’retiring allowance was the most effective variable to the expenditure state for the elderly life. In conclusion the rational distribution of economics resources according to the family life stage is very important for the economic welfare of households.

• Asia pacific journal of information systems
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• v.14 no.4
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• pp.49-70
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• 2004

Multi-agent technology is being regarded as one of the promising technologies for today's supply chain management because of its desirable features such as autonomy, intelligence, and collaboration. This paper suggests a multi-agent system architecture with which companies can improve the efficiency of their supply chains by collaborative operation. Reflecting the practical difficulties of collaboration in complex supply chains, the architecture allows agent systems to share information with only neighboring companies for the coordinated operation. The suggested architecture is elaborated with a collaboration model based on Petri-net, conversation models for communication, and internal behavior models of each agent. A simulation experiment was performed for the evaluation of the suggested architecture. The result implies that when the estimation of market demand is higher than a certain level, the suggested architecture can be beneficial.

• Journal of the Korean Operations Research and Management Science Society
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• v.17 no.3
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• pp.137-158
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• 1992

We study the Multiple Product Single Facility Stockout Avoidance Problem (SAP). That is the problem of determining, given initial inventories, whether there is a multiple product single facility production schedule that avoids stockouts over a given time horizon. The optimization version of the SAP where stockouts are pnelized linearly is also studied. We call this problem the Weighted Stockout Problem (WSP). Both problems are NP-hard in the strong sense. We develop Mixed Integer Linear Programming (MIP) formulations for both the SAP and the WSP. In addition, several heuristic algorithms are presented and performances are tested using computational experiments. We show that there exist polynomial algorithms for some special cases of the SAP and the WSP. We also present a method to phase into a target cyclic schedule for infinite horizon problems. These can be used as a practical scheduling tool for temporarily overloaded facilities or to reschedule production after a disruption.

• Korean Management Science Review
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• v.13 no.3
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• pp.115-128
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• 1996

System usage, the utilization of information technology(IT) by individuals, groups or organizations, is a core variable in IS research. Indeed, there is widespread agreement among researchers that system usage is the primary variable through which IT affects white collar performance because it is a requisite, albeit insufficient, for deriving the benefits of IT. Furthermore, system usage has a notable practical value for managers interested in evaluating the impact of IT. Despite the number of studies of targeted at explaining system usage, there are more areas which required for the verification of system usage. The purpose of this paper is to address, using the Technological Acceptance Model (TAM), the usage pattern of AHP toward the various task in group decision (GD). The result showed that, for the all of the task types, perceived usage (PU) has more effect than perceived ease-of-use(PEU) on the AHP usage. However, more researches are required to generalize the result of this study.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.125-139
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• 1990

This paper presents a forecasting method for domestic demand of electric home appliances. Because of lack of data, some popular methods such as time series analysis may not be appropriate to forecast such a demand domestically. We suggest a systematic and practical method by considering structural parameters and variables which determine the actual demand. We use this model to forecast the demand of color TV. Since the parameters in our model may be variant according to the change of economic environment, our model leads the user to develop a dynamic model to be used in the well-known System Dynamics Approach.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.335-343
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• 1990

The traditional economic evaluation methods do not seem to consider derivative efforts-productivity improvement, quality improvement.-which may be occured by AMS introduction. Current evaluation methods are based on mass production with known characteristic and stable technology. Recently, expert suggest that these assumption-stable production and mass production-are realized to be a limited in substantial economic evaluation analysis. Therefore, the problem of traditional evaluation methods suggested in this thesis and decision in the case studies are derived using two complementary economic analysis methods-AHP method, modified economic evaluation model- and traditional evaluation method. After three methods are compared and evaluated in the view of practical economic evaluation, AHP method is intended to be introduced as a new economic evaluation method.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.3
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• pp.69-78
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• 2012

Reduction of power consumption has been a major issue and an interesting challenge to maximize the lifetime of wireless sensor networks. We investigate the practical meaning of N-policy in queues as a power saving technique in a WSN. We consider the N-policy of a finite M/M/1 queue. We formulate the optimization problem of power consumption considering the packet loss probability. We analyze the trade-off between power consumption and the packet loss probability and demonstrate the operational characteristics of N-policy as a power saving technique in a WSN with various numerical examples.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.4
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• pp.51-65
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• 2012

Battery switching EVs are considered to be a promising alternative to overcome long charging time problems in the EV adoption. The purpose of this research is to develop integrated model for battery inventory and battery switching waiting times. Due to complexity of exact analysis, a practical approximation method is developed, which provides close results to exact values. Numerical experiments show that there exist trade-offs between the battery inventory level and the number of switching stations. The proposed model can be applied to evaluate and select the minimum cost alternative in implementing the battery switching stations.

• Knowledge Management Research
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• v.20 no.4
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• pp.1-22
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• 2019

The purpose of this study is to investigate the role of IT-enabled dynamic capability in the relationship between intellectual capital and innovation performance under Industry 4.0. We approach the intellectual capital from the perspective of the resource-based view and define the components of intellectual capital as human capital, social capital, and organizational capital. On the other hand, the IT-based dynamic capability means that the information technology and the utilization ability of the enterprise are combined to overcome the turbulent environment. The empirical results showed that the IT-enabled dynamic capabilities mediated the relationship between intellectual capital and innovation performance as it revealed in theory. And in terms of practical implications, we found the importance of an organization's information technology ability to effectively utilize intangible resources for organizational performance.

• Knowledge Management Research
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• v.20 no.4
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• pp.149-168
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• 2019

In the era of the Fourth Industrial Revolution, digital transformation is emerging in the education and learning fields. As the use of the mobile Internet and mobile devices has become a daily life, mobile learning that supports a variety of learning in a mobile environment is drawing attention. Mobile learning applications (apps) are expected to expand their use by providing a convenient learning environment anytime, anywhere. This study investigates the use of mobile learning apps in English education, which is one of the most popular learning areas, and empirically examines the factors that influence the continuous use of mobile learning apps. In particular, it analyzes the differences between Chinese and Korean users. The results of this study provide theoretical and practical implications to promote the development of mobile apps suitable for mobile learning environments and the sustainable user growth in mobile learning.