• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.149-168
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• 2003

With the increase of global competition and the reduction of the lifecycle of business process, most leading companies begin to adopt BPO(Business Process Outsourcing), by outsourcing the whole or part of their business process to external service providers and focusing on their core capability, in order to enhance their core competency, In adopting BPO, it is an important decision-making issue that which part of process should be outsourced. So identifying core/non-core process among the business processes is a prerequisite for managing corporate capability and performance of outsourcing. In this study, by focusing on knowledge intensity and degree of informatization of the business process that are important factors in adopting BPO, we have analyzed the current status of BPO adoption of domestic firms and proposed several guidelines for adopting BPO.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5654-5668
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• 2018

Driven by security and real-time demands of Internet of Things (IoT), the timing of fog computing and edge computing have gradually come into place. Gateways bear more nearby computing, storage, analysis and as an intelligent broker of the whole computing lifecycle in between local devices and the remote cloud. In fog computing, the edge broker requires X-aware capabilities that combines software programmability, stream processing, hardware optimization and various connectivity to deal with such as security, data abstraction, network latency, service classification and workload allocation strategy. The prosperous of Field Programmable Gate Array (FPGA) pushes the possibility of gateway capabilities further landed. In this paper, we propose a software-defined gateway (SDG) scheme for fog computing paradigm termed as Fog Computing Zero-Knowledge Gateway that strengthens data protection and resilience merits designed for industrial internet of things or highly privacy concerned hybrid cloud scenarios. It is a proxy for fog nodes and able to integrate with existing commodity gateways. The contribution is that it converts Privacy-Enhancing Technologies rules into provable statements without knowing original sensitive data and guarantees privacy rules applied to the sensitive data before being propagated while preventing potential leakage threats. Some logical functions can be offloaded to any programmable micro-controller embedded to achieve higher computing efficiency.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.95-103
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• 2021

This study was aimed to investigate the education needs for prevention and control of infectious diseases by lifecycle based on age group and to provide the fundamental data to develop the educational programs. A research was conducted with 328 adults over 19 years old for a month of February 2021 through online and mobile survey by Gallup Korea. Research contents include the general characteristics, personal hygiene practices related to infection, perceived risks related to infection, importance and level of knowledge on infectious diseases, and education needs for prevention and control of infectious diseases. For the research data analysis, PASW Statistics Ver 20.0 was used as a statistical program. Ranks from analysis upon conversion as the formula of Borich needs to sum up with importance and knowledge level showed first (Borich 3.11) with treatments for infectious diseases; second (Borich 2.15) with process in case of suspicion and diagnosis of infectious diseases; third (Borich 1.75) with transmission routes of infectious diseases; fourth (Borich 1.73) with preventive ways of infectious diseases; fifth (Borich 1.50) with diagnostic and test methods of infectious diseases; sixth (Borich 1.45) with characteristics of infectious diseases; and seventh (Borich1.38) with main symptoms of infectious diseases. It is anticipated that development of educational programs applying education needs for prevention and control of infectious diseases in this research can contribute to enhance the physical health, mental health, and psychological well-being of the subjects.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.463-481
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• 2017

Purpose: This study provide the matching mechanism between startup and business incubator to enhance managerial performance of business incubator. In addition, we propose the differentiation strategy for business incubator based on the needs of startups. Methods: In order to carry out the research, we surveyed 216 startups who already have invested in venture capitals and angel investors and currently residing in business incubator and 30 venture capitals and angel investors. Based on survey results, we develop a business incubator capability table matching startup with business incubator. Results: Satisfaction and importance of the supporting programs varied depending on the startup experience and startup lifecycle. As a result, we recommended a R&D center for machinery/material, bio/medical and electric/electronics startups and individual office for ICT and knowledge service startups. In addition, we suggested a differentiation strategy to BI in university specialized for machinery/material, privately operated BI for electric/electronic, (local)government, R&D center and individual office for knowledge service respectively. Conclusion: In this study, business incubator capability table is applied to match startup with business incubator and it could be applied to evaluate the current status of business incubator. Furthermore, it will help to establish a future strategic direction for business incubator.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.51-71
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• 2023

This study analyzed the government data quality management model, big data quality management model, and data lifecycle model for research data management, and analyzed the components common to each data quality management model. Those data quality management models are designed and proposed according to the lifecycle or based on the PDCA model according to the characteristics of target data, which is the object that performs quality management. And commonly, the components of planning, collection and construction, operation and utilization, and preservation and disposal are included. Based on this, the study proposed a process model for research data quality management, in particular, the research data quality management to be performed in a series of processes from collecting to servicing on a research data platform that provides services using research data as target data was discussed in the stages of planning, construction and operation, and utilization. This study has significance in providing knowledge based for research data quality management implementation methods.

• Design Convergence Study
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• v.15 no.6
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• pp.255-270
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• 2016

The purpose of this research is to establish the UX methodology knowledge optimized for small sized companies on the basis of theoretical and practical UX development process models. The 7 UX design process models were analyzed by the outcomes and attributes on each design stage from academic field. Then the interview and observation on 18 domestic companies were conducted to clarify the actual methods in use and the gab from the academic theories. The two different design model were unified as an product lifecycle coupled UX process (PLUS). The 100 theory-industry knowedge combined UX design methodologies were selected and aligned along with 6 design stages of PLUS process. Each method was decomposed as a template format that contains standardized attributes applicable for small companies under consideration of their resources, process and produced items. The result of this research is expected to be applied onto real industry and reduce the risk of small manufacturing companies to escalate the quality of UX in their productions.

• The KIPS Transactions:PartD
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• v.15D no.5
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• pp.705-712
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• 2008

Recently, interests in the notion of PKMS(Process based on Knowledge Management System) utilizing BPMS(Business Process Management System) and KMS(Knowledge Management System) have been significantly increased. Specially, most public organizations require their own effective knowledge management strategies since public business service needs various knowledge types. Based on a comprehensive framework that reflects lifecycle requirements of KMS and BPMS, we propose an PKMS system architecture, which performs step-by-step knowledge-providing strategy in public organization. To propose a PKMS architecture, this paper first investigates inter-relationships between public business and various knowledge types, and classifies knowledge types into three groups and then we suggest knowledge management strategies considering priority order among knowledge groups. Based on the proposed knowledge management, a PKMS system architecture can combine the advantages of the KM and BPM paradigms. This paper presents the PKMS system applied to employment insurance business part in real environment and demonstrated the advantages via inter-relationships between KM and BPM requirements.

• Journal of the Korea Institute of Building Construction
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• v.9 no.6
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• pp.151-159
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• 2009

Recently, overseas construction projects have been increasing in the Middle East and Southeast Asia regions. These projects require various licenses and technologies for the manufacturing and handling processes. Additionally, the efficiency of the entire process management life cycle determines the success or failure of the business. Nonetheless, there exist various risks involved in the whole life cycle process due to a lack of experience and knowledge of management techniques. The objective of this paper is to analyze the business process of a LNG plant throughout the pre-construction and procurement phases, and to identify the knowledge and information needed for the development of the KMS. The study also plans to build a comprehensive knowledge management system throughout the whole life cycle as its final objective.

• The Journal of Bigdata
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• v.7 no.2
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• pp.139-152
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• 2022

Engineering's work area for plants is a technical area that directly affects productivity, performance, and quality throughout the lifecycle from planning, design, construction, operation and disposal. Using the different types of data that occur to make decisions is important not only in the subsequent process but also in terms of cyclical cost reduction. However, there is a lack of systems to manage and analyze these integrated data. In this paper, we developed a knowledge base-based plant engineering analysis platform that can manage and utilize data. The platform provides a knowledge base that preprocesses previously collected engineering data, and provides analysis and visualization to use it as reference data in AI models. Users can perform data analysis through the use of prior technology and accumulated knowledge through the platform and use visualization in decision-support and systematically manage construction that relied only on experience.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.556-560
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• 2011

Players of construction projects proceed with each work process by information gathering, modification and communication. Due to the complex and long-span lifecycle projects increased, it became more important to grasp this mechanism for the successful project performance in construction project. Hence, most project information management systems or knowledge management systems equip information retrieval system. There are two logic to infer the meaning of retrieval target; inductive reasoning and deductive reasoning. The former is based on metadata explaining the target and the later is based on relation between data. To infer the information flow, it is necessary to define the correlation between players and work processes. However, most established information retrieval systems are based on index search system and it is not focused on correlation between data but data itself. Thus, this research aims to research on process of information flow retrieval system for large-scale construction projects.