• International Journal of Quality Innovation
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• 제6권1호
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• pp.74-97
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• 2005

IDEF0 is the IEEE standard for functional enterprise modeling and has been used for business process modeling or process mapping in US and Europe. But it does not reflect the potential benefits of modeling and simulation of the dynamic aspects of an enterprise or a system. On the other hand, simulation tools concentrate mostly on the simulation of material flows and are difficult to include information flows and control flows. Additionally, the simulation models that include elements such as queues, event generators and process nodes is a visual interactive representation for the model builder, but is inconvenient for the domain expert. In an attempt to fill that void, we provide an integration of business process and simulation models in this paper. An enhancement of the IDEF0, called parameterized IDEF0, is proposed and its conversion mechanism to network simulation model is developed. Using this methodology, business process models for alternative systems can be evaluated and compared through simulation on time, cost, and quality metrics. As an application of the proposed methodology, economic evaluation of EDI (Electronic Data Interchange) for time-based BPR (Business Process Redesign) is demonstrated. In addition to BPR, the developed methodology may be further integrated with ABC (Activity Based Costing), TQM (Total Quality Management), and economic evaluation of information systems.

• Journal of Information Technology Applications and Management
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• 제26권6호
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• pp.89-101
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• 2019

Many researchers have been focused on designing beauty product recommendation system for a long time because of increased need of customers for personalized and customized recommendation in beauty product domain. In addition, as the application of the deep neural network technique becomes active recently, various collaborative filtering techniques based on the deep neural network have been introduced. In this context, this study proposes a deep neural network model suitable for beauty product recommendation by applying Neural Collaborative Filtering and Generalized Matrix Factorization (NCF + GMF) to beauty product recommendation. This study also provides an implementation of web API system to commercialize the proposed recommendation model. The overall performance of the NCF + GMF model was the best when the beauty product recommendation problem was defined as the estimation rating score problem and the binary classification problem. The NCF + GMF model showed also high performance in the top N recommendation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1298-1310
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• 2019

Network coding (NC) is a promising technology that can improve available bandwidth and packet throughput in wireless sensor networks (WSNs). Sliding window is an improved technology of NC, which is a supplement of TCP/IP technology and can improve data throughput and network lifetime on WSNs. This paper proposes a network coding-based maximum lifetime algorithm for sliding window in WSNs (NC-MLSW) which improves the throughput and network lifetime in WSN. The packets on the source node are sent on the WSNs. The intermediate node encodes the received original packet and forwards the newly encoded packet to the next node. Finally, the destination node decodes the received encoded data packet and recovers the original packet. The performance of the NC-MLSW algorithm is studied using NS2 simulation software and the network packet throughput, network lifetime and data packet loss rate were evaluated. The simulations experiment results show that the NC-MLSW algorithm can obviously improve the network packet throughput and network lifetime.

• 한국경영과학회지
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• 제40권4호
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• pp.1-18
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• 2015

This paper proposes relational capability as a main driver of constructing inter-organizational collaboration networks. Based on social network theory and relational view literature, three components of relational capability are constructed and implemented by an agent-based model. The components include organizational capability, structural capability, and trust between a partner and a focal firm. These three components are updated by two micro mechanisms: structural mechanism and relational mechanism. Structural mechanism is a feedback loop in which the relational capability increases structural capability and vice versa. Relational mechanism is a learning-by-doing process in which a focal firm experiences success or failure of collaboration and the experience increases or decreases cumulative trust in a partner firm. Result of agent-based simulation shows that a collaboration network emerges through interactions of firm's relational capabilities and the characteristics of emerged networks vary with the contribution of structural capability and trust to relational capability. Specifically, in case structural capability contributes more to relational capability, the average degree centrality and collaboration proportion increases as time passes and enters into an equilibrium state. In that case, almost every firms participated in the network collaborates each other so that the emerged network becomes highly cohesive. In case trust contributes more to relational capability, the results are reversed. In an equilibrium state, the balance of contribution between structural capability and trust makes an emerged network larger and maximizes average degree centrality of the network.

• Asia pacific journal of information systems
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• 제34권2호
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• pp.635-660
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• 2024

A growing body of research explores how users of online communities navigate through large-scale platforms to find the information they seek. This study builds on the theories of homophily, structural embeddedness, and social exchange to investigate how interest homophily and existing communication structures serve as mechanisms driving information searches and the subsequent formation of communication networks in these communities. Specifically, we analyze comment-on-post tie formation using network data from "Today's House," the largest online user community specializing in interior design in Korea. Employing the LR-QAP method, a permutation-based hypothesis testing algorithm for social network data, our research identifies that network tie formation is driven by both homophilous information searches based on instrumental and hedonic interests, as well as by structurally induced searches such as preferential attachment, reciprocity, and transitivity. In addition, we investigate the contingent effects of communication structure on homophilous tie formation. Our findings suggest that while network-wide structural characteristics enhance homophilous tie formation based on instrumental interests, local network processes leverage homophily based on hedonic interests. We conclude by discussing the theoretical implications of the differential influence of participation motivations on information search patterns and the practical implications for the design of online communities.

• 품질경영학회지
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• 제38권1호
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• pp.1-9
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• 2010

Service Oriented Architecture(SOA) is an enterprise-scale IT architecture for linking software resources available on the network. SOA is believed to become the future enterprise solution that promises the agility and flexibility by integrating business processes through composition of the software services across enterprises. The first step for SOA construction is to identify the services. In this paper, we present a process-based service identification methodology for SOA through a case study of an IT company. Our methodology is composed of three steps: Processes (business & technical processes) analysis and systems analysis, Service candidates selection, and Service evaluation and construction planning. This framework would be practical and could be accepted to other organizations as it has been developed through the real case.

• 한국경영과학회지
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• 제40권4호
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• pp.35-48
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• 2015

We analyze the systemic risk based on the information flows using the variance decomposition, DebtRank methods, and the Industry Sector Indices during 2001. 01 to 2015. 08. Using the KOSPI stock market as our setting, we find that (i) the systemic risk calculated by information flows of variance decompositions method shows strong positive relations with the market volatility, (ii) the magnitude of systemic risk measured from the information flows network by DebtRank method increases after the subprime financial crisis.

• 지식경영연구
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• 제21권3호
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• pp.161-176
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• 2020

디지털 시대를 맞아 다양한 제품들이 디지털 형태로 출시되어 왔다. 디지털 제품 등장 초기에는 개별 디지털 파일 형태의 제품들이 등장하였고 사용자들은 각각의 제품을 개인 디바이스에 다운로드하는 방식으로 소비하였다. 네트워크 기술의 발전으로 소비자들은 '스트리밍'이라는 형태의 디지털 제품을 소비하기 시작했다. 스트리밍은 인터넷 네트워크를 통해 소비하는 '접속 기반 소비 형태'로 제공되는 서비스이다. 스트리밍 서비스의 등장으로 소비자들은 개별 파일을 다운로드하지 않고 개인 디바이스에 네트워크를 연결하여 제품과 서비스를 사용할 수 있게 되었다. 영구적인 소유가 불가능하다는 점에서 접속 기반의 디지털 제품들은 다운로드 기반 컨텐츠와 같은 전통적인 소유 기반 디지털 제품과 구별된다. 이에 본 연구에서는 개인들의 디지털 제품에 심리적 소유감이 소비 방식에 따라 어떻게 달라지는지 분석하였다. 분석 결과 개인들은 소유 기반 디지털 제품에 비해 기반 디지털 제품에 더 낮은 심리적 소유감을 느낀다는 사실을 확인하였다. 본 연구는 관련 분야에 이론적 실무적 함의를 제공한다.

• 한국경제지리학회지
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• 제14권4호
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• pp.628-641
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• 2011

본 연구는 신산업으로서 광산업(photonics industry)과 광주 광산업 집적지의 성장에 관심을 두고 국내 광산업 성장의 지역적 특성을 탐구하였다. 연구를 위해 광산업 성장의 행위주체 기반이 되는 광산업체와의 심층면담을 토대로 광산 업체의 입지와 사업네트워크를 살펴보았다. 이를 통해 신산업인 광산업의 성장과 함께 광산업을 전략산업으로 육성하고자 하는 지역산업육성정책의 의미를 되짚어보고자 했다. 연구 결과, 시장과 정책의 이점으로 대비되는 수도권과 광주에서 광산업의 차별적 성장을 관찰할 수 있었다. 광산업을 육성하려는 광주의 지역산업육성정책은 다양한 지역주체들의 공감대 형성, 산업발전의 원천이 될 모멘텀과 다양성 부여의 측면에서 의미를 갖는다고 보겠다.

• 품질경영학회지
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• 제45권1호
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• pp.65-92
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• 2017

Purpose: The performance of global major airports is evaluated and several research questions are examined relative to the measures characterizing airport performance. Methods: The two-stage internal structure of airport performance is considered by decomposing it into physical operations and revenue generation. In the physical operations stage, operating costs, number of runways, terminal area and number of employees are used as inputs, while passenger throughput, cargo throughput and aircraft movements are taken as outputs. Subsequently, in the revenue generation stage, the outputs from the preceding stage are taken as inputs, while revenue is used as output. Results: Based upon this two-stage modeling of airport performance, a multiplicative two-stage network data envelopment analysis model is employed to calculate the overall and stage efficiencies of 59 airports using the recent data in the 2014 Airport Benchmarking Report published by the Air Transport Research Society. Several internal and external factors are also considered such as airport size, airport geographical location, proportion of international passengers, ownership (listed or not) and management style, and statistical analysis is performed to examine their impacts on airport performance. Conclusion: It is shown that the airports exhibit statistically significant difference across regions, and also some statistically significant factors affecting airport performance are identified.