• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.4
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• pp.121-133
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• 2008

In manufacturing companies, engineering information is a central data which defines a product to be produced. This is changed by various factors such as changes of product configuration, changes of drawings information of a technology's licensor, etc, and these changes essentially accompany the changes of a product BOM (Bill of Materials) structure. Thus, engineering changes gives a heavy burden to information management within enterprise because the changes of product BOM have an influence on each departmental BOM such as a procurement BOM, a manufacturing BOM, a quotation BOM, etc. Especially, these changes of product BOM due to the engineering changes is inevitably and frequently happened by a customer's requirements in a customer-oriented make-to-order manufacturing environments. In these manufacturing environments, information gap among each department from the first contact point of customer to engineering, materials, production, quality, and management is very close, and thus it is very important that the change information of product BOM due to changes of product specification and engineering information are efficiently communicated among each department. This paper describes a procedure of determining product specification and of generating product BOM, and proposes an efficient management scheme for the change process of product BOM information due to changes of product specification and engineering. Also, to show the effectiveness of the proposed product BOM management scheme, a product BOM management system is implemented for the ship engine division of 'H' company, one of customer-oriented make-to-order manufacturing enterprises.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1293-1308
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• 2014

The cause of privacy extrusion in credit card company at 2014 is usage of the original data in test system. By Electronic banking supervision regulations of the Financial Supervisory Service and Information Security business best practices of Finance information technology (IT) sector, the data to identify the customer in the test system should be used to convert. Following this guidelines, Financial firms use converted customer identificaion data by loading in test system. However, there is some risks that may be introduced unintentionally by user mistake or lack of administrative or technical security in the process of testing. also control and risk management processes for those risks did not studied. These situations are conducive to increasing the compliance violation possibility of supervisory institution. So in this paper, we present and prove the process to eliminate the compliance violation possibility of supervisory institution by controlling and managing the unidentified conversion customer identification data and check the effectiveness of the process.

• Journal of Intelligence and Information Systems
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• v.13 no.1
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• pp.49-58
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• 2007

MDPDPTW (Multi-Depot Pickup and Delivery Problem with Time Windows) is a typical model among the optimization models based on the pickup and delivery flow in supply chains. It is based on multi-vehicles in multi-depots and does not consider moving vehicles near pickup and delivery locations. In ubiquitous environments, it is possible to obtain information on moving vehicles and their baggage. Providing the proper context from the perspective of moving vehicles and their baggage allows for more effective vehicle routings. This study proposes Integer Programming-based MDPDPTW including the information on moving vehicles and their baggage in a ubiquitous environment: u-MDPDPTW, and shows the viability and effectiveness of u-MDPDPTW through comparative experiments of MDPDPTW and u-MDPDPTW.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.25-37
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• 2012

In recent year, the u-City construction projects which integrate IT technology into urban infrastructures are being pushed forward by many local governments. These projects contain various purposes in an aspect of regional economy : to reinforce a competitiveness of region by increasing efficiency of urban managements and to revitalize regional economy by stimulating the regional high-tech industries that related to u-City construction. In this context, regional economic impact assessment of u-City construction projects is particularly important because, it give us information about effectiveness of u-City construction policy as a stimulus of regional high-tech industries and the policy feasibility of u-City construction projects that can be a base of public projects. However, it is challenging to assess the impact of u-City projects on regional economy properly due to a lack of understanding about industrial classification, and specific industrial inputs related to u-City construction. In this study, we suggest u-City industrial classifications, and specific-industrial inputs induced by u-City construction projects based on associated legislations, business report for a u-City construction, and results from previous studies. Using these classification and industrial input, we also investigate the regional economic impacts of a u-City construction project in Wha-sung and Dong-tan cities employing Input-output analysis. The empirical results suggests that u-City industries have relatively high in production inducement, and value added inducement compared to input of other industrial sectors. These results indicate that regional economic impact of a Wha-sung and Dong-tan u-City construction project are relatively high, but economic impacts of u-City construction projects vary according to the regional industrial structure, and the specific expense accounts of u-City construction projects.

• Knowledge Management Research
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• v.14 no.2
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• pp.137-154
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• 2013

In an ever-tougher competitive environment caused by globalization, domestic companies are increasingly adopting business strategies aimed at continuously securing competitive advantage by taking advantage of globally-competitive foreign professionals. Despite a persistent rise of such trend, domestic researches regard migrant workers as the socially underprivileged, and delve into the issue of migrant workers from the policy, welfare, and ethical perspectives. With a growing need to deal with migrant professionals from the strategic viewpoint - to acquire professional talent in an era of global competition, it becomes essential to verify the real effectiveness of migrant professionals. Yet, there has been relatively little discussion of it. This study assumes that based on th137e integration-learning perspective on diversity, the greater the number of foreign professionals, the greater the effect on organizational innovative performance. Also could be effective in managing diversity is diversity-friendly HRM which involves eliminating discrimination against migrant professional workers and treating them fairly. Based on the data collected from 72 domestic companies, this study conducted an empirical analysis of the impact of the percentage of foreign professionals in the total workforce on organizational innovative performance and of the moderating role of diversity-friendly HRM. The results show that the proportion of foreign professionals in the entire workforce has had no significant impact on organizational innovative performance, and that the proportion of foreign professionals in the total workforce and diversity-friendly HRM have had a interaction effect on organizational innovative performance. Based on these research results, the study attempted to interpret the significance of the proportion that migrant professionals make up of the total workforce and of diversity-friendly HRM in relation to organizational innovative performance, and their implications for diversity management.

• Journal of the Korea Computer Industry Society
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• v.3 no.3
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• pp.307-320
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• 2002

Electronic commerce creates serious problems for tax administration because of difficulties associated with the identification of traders, coding of trade activities and so on. The core issue with respect to resolving tax-related problems in electronic commerce is first, the identification of individual transactions through internet and their contents as well as traders. Secondly, it is the ability of tax authorities to secure effectively such data and information as identifying taxpayers, taxable amount and tax evasion on time. The tax authorities are studying the way to resolve tax evasion associated with electronic commerce by using payment system. Above of all, it is imperative to establish a systematic international cooperation in collecting value added taxes for electronic commerce. In order to enhance the effectiveness of tax system, the authorities of different nations should make joint efforts to collect taxes by exchanging such information as identification and registration of business as well as details of transactions among nations of production and consumption.

• Journal of Intelligence and Information Systems
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• v.13 no.2
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• pp.1-14
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• 2007

Case-based reasoning (CBR) is one of the most widely applied data mining techniques and has proven its effectiveness in various domains. Since CBR is basically based on k-Nearest Neighbors (NN) method, the value of k affects the performance of CBR model directly. Once the value of k is set, it is fixed for the lifetime of the CBR model. However, if the value is set greater or smaller than the optimal value, the performance of CBR model will be deteriorated. In this research, we propose a new method of composing the NN set using similarity scores as themselves, which we shall call s-NN method, rather than using the fixed value of k. In the s-NN method, the different number of nearest neighbors can be selected for each new case. Performance evaluation using the data from UCI Machine Learning Repository shows that the CBR model adopting the s-NN method outperforms the CBR model adopting the traditional k-NN method.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.10-16
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• 2021

As the implementation of smart factories spreads widely, the need for research to improve data efficiency is raised by prioritizing massive amounts of big data using IoT devices in terms of relevance and quality. The purpose of this study is to investigate whether prioritizing big data in management accounting decisions such as cost volatility estimation and recipe optimization can improve smart solution performance and decision-making effectiveness. Based on the survey answers of 84 decision makers at domestic small and medium-sized manufacturers who operate smart solutions such as ERP and MES that link manufacturing data in real time, empirical research was conducted. As a result, it was analyzed that setting prioritization of big data has a positive effect on decision-making in management accounting. became In addition, it was found that big data prioritization has a mediating effect that indirectly affects smart solution performance by using big data in management accounting decision making. Through the research results, it will be possible to contribute as a prior research to develop a scale to evaluate the correlation between big data in the process of business decision making.

• Journal of Internet of Things and Convergence
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• v.7 no.3
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• pp.31-37
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• 2021

This study aims to develop a face-to-face & non-face-to-face convergence tea culture therapy program for elderly people experiencing CORONA 19 pandemic anxiety and digital alienation, and apply the program to eight senior citizens aged 70 or older who use the K Senior Citizens' Day Care Center in P City to verify its effectiveness. Anxiety among elderly people experiencing coronavirus anxiety was 3.02 (SD 0.25) before participating in the program and 2.79 (SD 0.15), indicating a significant difference between before and after participating in the program (Z=4.245, P=.004) Based on this analysis, we present practical suggestions for the expansion of face-to-face & non-face-to-face convergence tea culture therapy programs to alleviate anxiety among elderly people who experience CORONA 19 pandemic anxiety.

• Journal of Korea Trade
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• v.24 no.8
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• pp.19-38
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• 2020

Purpose - The Korean government has been promoting the New Southern Policy (NSP) prior to the onset of the COVID-19 pandemic, which damage global value chain (GVC). The purpose of this paper is to emphasize that the NSP should be developed to provide tangible support in corporate GVC adjustment, away from diplomatic activities in order to offset GVC losses due to COVID-19 and expand export capabilities. Design/methodology - Two research methodologies are combined for this paper: A computational general equilibrium (CGE) model is used to estimate the impacts of the COVID-19 pandemic and NSP on Korea's exports, and the decomposition methodology (Wang, Wei and Zhu, 2013) to evaluate the stability of GVC. The conventional CGE model was modified to obtain an estimate for decomposition. The research methodology adopted in this study was attempted for the first time, and it can be widely used in future GVC research. Findings - Results found the effects of COVID-19 reduced Korea's total exports by 27% and GVC by more than 30%. In particular, VA in Korea's exports to the NSP region was found to have a huge impact in heavy industries and textiles, and its exports to Vietnam seemed to suffer the largest loss in GVC among ASEAN countries. If the NSP is implemented properly, it appears that it could offset much of the negative impacts of COVID-19, implying the importance of the effectiveness of the NSP. Originality/value - Many papers have assessed the NSP descriptively, and the GVC has been a topic for many publications. However, the impact of COVID-19 on Korea's GVC with the NSP countries has not been quantitatively studied. This paper emphasizes that the NSP should be pursued based on the results of quantitative analysis. In addition, the research methodology of this paper can be used for other GVC research with relevant modifications.