• The Journal of Information Systems
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• v.12 no.1
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• pp.159-175
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• 2003

During the early stage of radioactive disposal programs, important issues related with quality assurance of data sets, methodologies, R&D procedures are recognized as important ones. This paper focused on the development of web-based workflow standards for the QA procedures of the radioactive waste disposal programs. The flow of process was analyzed based on workflow concepts proposed by the Workflow Management Coalition (WfMC). QA system is based on the principles of T2R3. T2R3 Workflow was used to standardize and restructure the business and/or work process in the industry or organization. The WfMC has identified five functional interfaces to a workflow service as part of its standardization program. They are composed of process definition interface, worklist handler, application program interface, interface between workflows, and system management. The task flow and QA program were defined based on the workflow ideas. QA procedures for the R&D results of radiation disoposal were analyzed following the reference model of workflow. In addition, six program run list were created and implemented. The creation, revision, and approval of the test data were designed to be inplemented on the web environment. Through this system, R&D procedures such as planning, research, documentation, internal review and future independent peer review processes could be well organized and stored more systematically on the database and knowledge base. This will encourage the usage and data sharing between interested parties through it's clear and transparent workflow standards.

• Korean Journal of Construction Engineering and Management
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• v.8 no.3
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• pp.106-115
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• 2007

The size and length of road tunnels have been gradually expanded as industry developed. Consequently, the risk has been increased. The decision making process for ventilation system for road tunnels involves a large amount of information on economic feasibility, construction methods, and safety etc. In situation where systematically structured decision making process is unavailable, almost decisions about ventilation systems are made based on engineers' private knowledge and experiences. Procedure and criteria to choose the best optimized ventilation system among many alternatives are proposed, breaking away from the economic dependency-oriented decision making. This paper presents a Multi-Attribute Utility Theory and AHP based function with which planners can calculate overall utility of each alternative. It is anticipated that the effective use of the proposed methodology for decision making on ventilation systems ould be able to reduce the likelihood of the occurrence of potential safety risks as well as increase the overall ventilation performance.

• Information Systems Review
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• v.9 no.1
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• pp.139-160
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• 2007

Our study focuses on empirical findings of the critical factors which influence the performance of ERP system in business. The study is mainly interested in examining the influence of the characteristics of late process of adopting ERP called "Go-Live" phase with the critical issues like customizing, transformational process of standardization, phased implementation, concurrent operation and use with the current systems on users' ERP satisfaction. The analyses of the data conducted thru moderated regression analysis and subgroup analysis. Using moderated regression analysis, we first examined the effect of moderator variables like customizing, process standardization, sequential use, concurrent use with the current systems. And then, using subgroup analysis is to verify directions of the moderator effects. Having knowledge on the characteristics of ERP Go-Live process can lead to success of ERP system in business. Our results can be beneficial to those organizations who want to adopt and maintain ERP system effectively.

• Journal of Korea Trade
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• v.23 no.8
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• pp.110-131
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• 2019

Purpose - This paper investigates the implications for facilitating trade in the products of Industry 4.0. To identify the issues caused by the conflicts of policy objectives such as applying the tariff concession under the ITA and imposing the export control, by exploring the case of classification of drones. Design/methodology - We adopted a single case study method to gain a deeper understanding of the complex and multifaceted issues of Customs classification in the context of facilitating trade in the products of Industry 4.0. This study employs the case of drones to explore how these issues of Customs classification affect trade facilitation. We ensured the internal validity of the study by confirming the pattern of the results with the existing theories. Findings - Our main findings can be summarised as follows: the intrinsic nature of the products that converge several technologies causes issues in the classification. The inconsistency in product classification delays customs clearance by hindering the Customs risk-management system that pinpoints products subject to controls. To address the issues, therefore, we proposed fundamental reforms of Customs to empower themselves with management roles. Facilitating trade in the products of Industry 4.0 requires more enhanced Customs capability. Therefore, the reforms should include comprehensive capacity-building activities, such as changes in staff-trainings, promotion system, organisation and culture. Customs also need roles in robust designing of cooperative systems to compensate for the lacks of controls and to ensure concrete risk management for expedited Customs procedures. As well, by equipping the Single Window of Customs with crucial control functions of other ministries, Customs need to support the cooperation. The role of harmonising various preaudits of other ministries with its own is another essential role that ensures predictability of clearance procedure. Originality/value - There are scanty studies in the field of knowledge about what obstacles exist and what solution is available in the course of transforming to 'Industry 4.0'. In filling out the gap of knowledge, this paper is of academic significance in that it applies the research theory on trade facilitation for the specific cases of classification of the product of Industry 4.0 to verify its effectiveness and to extend the subject of the studies to the scope of Industry 4.0. It also has practical significance in that the results have provided implications for reforms of Customs procedures to facilitate trade in the products of Industry 4.0.

• Management & Information Systems Review
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• v.34 no.3
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• pp.101-123
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• 2015

Amidst the growing uncertainty in external environments, securing and retaining superior human resources is becoming emphasized as a key means for organizations to achieve competitive advantages. Particularly, star employees-human resources that are characterized by their ability to create extraordinary performance relative to other peers-are increasingly gaining attention in both academia and industry because of its importance in knowledge-based industries. However, despite the prevailing recognition for star employees, few previous literature have attempted to empirically test the direct relationship between the ratio of star employees in an organization and organizational performance. Considering both the potential for positive and negative influence of star employees on organizations, the relationship between the ratio of star employees and organizational performance can not only be a simple linear relationship but can also exist in a curvilinear form. Building on the existing literature on star employees, this paper establishes competing hypotheses for the two possibilities of curvilinear relationship; as the ratio of star employees increases, marginal effects can either increase (i.e., U-shaped curvilinear relationship) or decrease (i.e., inverted U-shaped curvilinear relationship). Employing an unbalanced panel data of 35 Korean brokerage firms between years 2008 and 2013 with 134 observations, the relationship between the ratio of best analysts (i.e. star employees) as selected by Maeil Business Newspaper and financial performance (i.e. organizational performance) of corresponding brokerage firms is examined. Empirical results indicate that while organizational performance increases as the ratio of star employees increases, its positive effect diminishes over time which provides support for the curvilinear relationship with decreasing marginal effects. Our research findings imply that star employees create value in knowledge-based industries; at the same time, implications are given as results calls for caution for excessive dependence on star employees beyond a certain level.

• Management & Information Systems Review
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• v.39 no.3
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• pp.53-82
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• 2020

Daejeon Metropolitan City has the best innovation capability infrastructure (ICT) required for the 4th industry. Nevertheless, there are scattered factors that hinder the industrial ecosystem. In this study, the factor of job creation was approached from the viewpoint of organizational ecology in consideration of regional characteristics during the 4th Industrial Revolution.That is, the case of job creation through overseas ICT-based clusters (or cities) was examined. Then, the factors of organizational ecology, 'niche', 'variation', 'selection', and 'retention' were derived. Through this process, we explored the environment surrounding Daejeon Metropolitan City and benchmarked lessons from existing overseas cluster cases. As a result, we discover the 'niche' of ICT-based job creation and suggest strategies for the 'variation' process to survive in the ecosystem and how to be 'retention' in the ecosystem. n conclusion, the strategy of the organizational ecological approach to establish itself as a metropolitan city as the strength of Daejeon city and the 'innovation hub' that is evident, such as '4th Industrial Revolution City', 'Innovation City Designation', and 'Secure Excellent Capability of SW' Insist on need. Through this study, we hope that there will be a theoretical contribution to the prior research lacking from original research such as the scarcity of ICT-based job creation research in response to the era of the fourth industrial revolution, recognition of the importance of the region in job creation, and presentation of an organizational ecological approach of sustainable clusters.

• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.159-166
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• 2016

Recent public information project, which has been organized mainly to large companies is a situation that is being reorganized to small and medium-sized systems integration company. However, many of the small and medium-sized companies lack knowledge of the systematic risk management. Thus, in connection with the revenue, it involves a number of problems. Therefore, in this paper, we present a risk element that occurs mainly in the field of the project, providing a model for measuring the risk element by risk level costs associated with this. Through the convergence, we aim at providing a management system that is able to make the project successfully accomplished, predicting the risk that occurs in advance to pursue the project; Based on the proposed model, it is possible to secure a proper size of reserve fund so it is expected to enable companies to ensure the cost of risk analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.31-38
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• 2019

The purpose of this study is to provide the priority of the front-loading factors in the design stage of the automotive parts development process in order to efficiently and effectively respond to the demands of the car maker (customer). Front-loading is defined as a strategy in order to improve development performance by shifting the identification and solving of design problems to earlier phases of a product development process. Two approaches of the front-loading are project-to-project knowledge transfer and rapid problem solving. For the study, a survey was conducted on the R&D department in the automobile parts company and analyzed by AHP (Analytic Hierarchy Process) method. The result of the survey shows the cost savings is the highest weight in terms of front-loading effect and in terms of front-loading factors, it gives priorities as "the problems of past project" first, "Design Review" second, "CAE (Computer Aided Engineering)" third, "FMEA (Failure Mode and Effects Analysis)" fourth, "benchmarking" and SR (Sourcing of Requirements). The results of the study will be helpful to provide practical value for improving product design of component development.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.273-281
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• 2008

In a knowledge-information based society, effective management across IT industries, value of information and interoperation are more important than eyer before. Therefore, ITA/EA which helps to plan and manage IT systematically and effectively, was enacted and announced in 2005 and has been considered as an innovative IT management approach. Unfortunately, however, new standardization of ITA/EA has not fully discussed yet. How to successfully apply EA/ITA to IT is considered as the most urgent challenge and this study aims to find out the most effective method. To this end, it was emphasized that training systems for specialized experts must be operated systematically through 'standardization of terms and tasks' and 'standardization of manpower training' and certification of specialty must be newly established. In addition. it was strongly demanded that dual structure caused by mixed concepts between ITA and EA must be eliminated. At the same time. a new model for domestic standardization was suggested so that not only ITA/EA can be recognized as IT engineering but also professional engineers can accept ITA/EA as a scientific field. In summary, this study is intended to propose how to improve information management efficiency through ITA/EA.