• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.91-99
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• 2011

RFID is an important information technology that enables changes in existing methods of logistics. In this study, a decision making model for the introduction of RFID by domestic food & beverage businesses has been developed in order to enhance the efficiency of logistics activities. The general business states and effects expected from the introduction of RFID by SCM sector of 167 domestic food and beverage businesses were surveyed and based on the results, it was identified that generally positive answers were received. A decision making model for the introduction of RFID was derived and based on the results, it was identified that major influencing factors affecting the intention to introduce RFID were "the number of personnel" and "costs to introduce RFID".

• Journal of Information Technology Services
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• v.19 no.1
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• pp.103-112
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• 2020

Job seekers are making various efforts to find a good company and companies attempt to recruit good people. Job search activities through self-introduction essay are nowadays one of the most active processes. Companies spend time and cost to reviewing all of the numerous self-introduction essays of job seekers. Job seekers are also worried about the possibility of acceptance of their self-introduction essays by companies. This research builds a classification model and conducted an experiments to classify self-introduction essays into pass or fail using deep learning and decision tree techniques. Real world data were classified using stratified sampling to alleviate the data imbalance problem between passed self-introduction essays and failed essays. Documents were embedded using Doc2Vec method developed from existing Word2Vec, and they were classified using logistic regression analysis. The decision tree model was chosen as a benchmark model, and K-fold cross-validation was conducted for the performance evaluation. As a result of several experiments, the area under curve (AUC) value of PV-DM results better than that of other models of Doc2Vec, i.e., PV-DBOW and Concatenate. Furthmore PV-DM classifies passed essays as well as failed essays, while PV_DBOW can not classify passed essays even though it classifies well failed essays. In addition, the classification performance of the logistic regression model embedded using the PV-DM model is better than the decision tree-based classification model. The implication of the experimental results is that company can reduce the cost of recruiting good d job seekers. In addition, our suggested model can help job candidates for pre-evaluating their self-introduction essays.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.4 no.4
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• pp.63-69
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• 1981

As enterprises are getting bigger and bigger and more competecious, an engineering economy for the maximization of profit based on basic theory must be considered. This thesis present dynamic computer model for the decision which controls complicated and various man- machine system optimally. This model occur in general stage can be adaptable to every kind of enterprises. So, any one who has no expert knowledge is able to get the optimal solution. And decision tree used in this paper can be applied in every kinds of academic circles as well as whole the industrial world. This paper studied optimal management of engineering project based upon basic theory of engineering economy. It introduces and functionizes the variables which generalize every possible elements, set up a model in order to find out the variable which maximize the calculated value among many other variables. And the selected values ate used as decision- marking variables for the optimal management of engineering projects. It found out some problem of this model. They are : 1. In some kinds of man-machine system it refers to Probability, but other case, it depends on only experimental probability. 2. Unless decision making process (decision tree) goes on, this model can not be applied. So these cases, this paper says, can be solved by adapting finite decision tree which is analyzed by using the same technic as those in product introduction problem. And this paper set up the computer model in order to control every procedure quickly and optimally, using Fortran IV.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.147-153
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• 2017

The Korean government has implemented various policies to introduce the cloud to the public sector. The objectives of the paper are to develop a decision-making model and to propose the roadmap for cloud introduction in the public sector. To achieve these objectives, we analyze the characteristics of public services and types of cloud service. Then we develope a cloud introduction method using fuzzy AHP based convergence decision-making model. As a result of this study, we decided to prioritize the cloud service candidates and proposed a three-step roadmap. The results are expected to contribute to cloud introduction and transition in the public sector and establishment of the cloud policy. In the future, it will be necessary to develop budget plans as well as additional decision-making factors for cloud adoption.

• Journal of Information Technology Services
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• v.20 no.2
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• pp.111-126
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• 2021

A Kano model was used to classify the quality attributes of the service robot function for actual deployment that can support and replace bank employees. Quality attributes for a total of 6 dimensions and 23 service elements were divided into bank employees and customer groups, and service priorities were derived after comparative analysis. The Decision tree model was used to supplement the excessive simplification of quality attributes by the modest number of Kano models and to classify and predict by segment market. Of the 23 services, 16 were classified into the same attributes in both groups. 6 services classified as combination attributes used a Decision tree to identify differences in perception of quality attributes among groups. In terms of basic financial services and professional financial services, it was confirmed that bank employees feel financial service robots more attractive than ordinary customers. In the design of IT convergence service, we propose a methodology for deriving quality attributes by combining a Kano model for classifying quality attributes of two groups and a Decision tree for forecasting subdivision markets.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.743-763
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• 2018

It has been 10 years since the concept of cloud system has emerged. Despite the fact that the cost-effectiveness and security of cloud systems has been proven, financial companies are reluctant to adopt cloud systems. Financial institutions are reluctant to adopt the cloud system because of the strong regulation of financial authorities in relation to the leakage of customer information However, more important reason why financial institutions hesitate to introduce cloud systems is the lack of direction and standards for the introduction of cloud systems by financial institutions. This study examines the legal and institutional constraints on the introduction of cloud systems in financial institutions and suggests decision models for determining whether cloud systems can be applied and how cloud systems are configured when financial institutions construct IT systems. We hope that this research will be helpful for establishing direction of cloud system introduction of many financial institutions.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.60-75
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• 2020

Purpose: This study aims to develop a cost model for NRP (Nursing Residency Program) operation and ultimately provide evidence for financial factors for NRP operation in the future by simulating a cost model. Methodology: This study developed a model for the NRP education cost calculation model based on the review of Hansen's model, which has systematically reported on the development and operation of NRP, and discussions with nursing education experts at a university-affiliated hospital. With the simulation, it was intended to predict nurses' supply and demand in the long term and to calculate changes in long-term education costs. Findings: Firstly, turnover model, term model, cost model necessary for calculating a model for the NRP education cost calculation model was set up. Secondly, the simulation showed the following results; 1) the proportion of newly graduated nurses less than 5 years of working decreases gradually over time, which will make the composition of nurses more balanced. 2) In the first year of the partial introduction of NRP, the cost of training new nurses was about 2.1 times higher than before. After the introduction, the training cost in the 13th year began to be lesser than before the introduction, and in the 25th year, it decreased by 28.1% compared to before the introduction. Practical Implications: Firstly, NRP would be an effective way to solve the higher turnover and frequent departure of new nurses and the imbalance of nurses' composition. Secondly, although the costs of NRP are incurred in the early stages, in the end, NRP training costs are reduced compared to before the introduction of NRP. It is necessary to systematically understand the contribution effect of NRP by analyzing the economic value of NRP considering financial and non-monetary returns in the future and providing a basis for decision-making related to NRP implementation.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.103-115
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• 2005

For today's enterprises to survive in the current rapidly changing business environments, it is imperative to make quick and successful decisions to various challenges. In making important business decisions, if enterprises utilize business rules and knowledge, properly and promptly, they may effectively reduce the chance of failures. However, in most of today's information systems, these rules and knowledge are not managed in centralized and systemic manner. They disperse over entire enterprises' information systems, and sometimes reside in the heads or memos of enterprises' employees. BRE (Business Rule Engines) is a solution that systematically and centrally manages these business knowledge and rules of an enterprise. With BREs, any business user is able to store, edit, retrieve and utilize business rules and knowledge in centralized repository, without IT development skills. And with BRE, enterprises could improve business intelligence and attain strategic advantages over other enterprises. However, since there is no clear criteria for BRE introductions, it is not easy to decide whether or not to introduce the expensive BRE solution to an enterprise. In this research we propose a decision model for BRE introduction. Using this model, business analysts considering BRE introduction, readily make decisions on BRE introduction.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.183-202
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• 2008

The introduction of a ubiquitous environment has realized commercial ubiquitous services in various industrial fields and government area. The central and/or local governments are demanding an appropriate investment evaluation model for ubiquitous service. Thus, this study develops and suggests an evaluation model for ubiquitous service by reflecting its characteristic of promoting public good, as well as its broad ripple effect on people. The investment evaluation model for ubiquitous service suggested by this study is based on Cost Benefit Analysis Method. Especially, the 'Benefit' is analyzed in two aspects; 'Economic Benefit', which shows the benefit that ubiquitous service providers to the overall local economy, and; 'Financial Benefit', which shows the profit of individual investors participating in the introduction of ubiquitous service. The investment evaluation model for ubiquitous service suggested by this study can be used by the central and/or local government during their evaluation for investment before introducing a ubiquitous service. Also, when introducing a ubiquitous service in public field, the model can be used to support the decision making of private businesses for investment. Finally, it can be used to promote and inform the expected benefits of introducing a ubiquitous service to local residents.

• Information Systems Review
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• v.16 no.2
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• pp.25-41
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• 2014

While previous studies on Crowd funding mainly focused on the plan and policy of the introduction of Crowd funding, this study classified Investment Decision Making criterion and proposed the significance of each factor, leading to results that can help investors practically. According to the analysis, (1) physical resource in business is the most important criterion to be considered as the way for investor to objectively make decisions on business model, (2) although people pay attention to the managerial capabilities of business, the creativity of business model is not being paid much attention. The result of this study can objectively determine investment decision making on business model thought a quantitative standard of judgment. Moreover, an environment should be built for healthy decision making which is based on business model instead of only product, and it is necessary to have institutional framework to enable new companies to have healthy competition with existing companies through creative business model.