• Korean Management Science Review
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• v.27 no.3
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• pp.87-98
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• 2010

In this paper, we drew upon IMP group's Interaction model to investigate the contributing impact of Inter-organizational system (IOS) on performance through enhancing inter-organizational relationship. While most extant literature studied the contribution of IOS from transaction efficiency perspective, the relational aspect of IOS contribution on the supply chain was addressed only by a few researches. As such, we intended to fill this gap of the IOS research stream. The conceptual model was developed, with reference to process theory, to analyze how the relational perspective could be applicable to IOS impact on performance. With the 129 sample data collected at the firm level,structural equation model using the LISREL was employed to validate the proposed research model. The empirical results supported the hypotheses such as the extent of IOS usage positively influences the interaction between the firms, which thereby enhances the extent of inter-firm partnership and performance. The results help better understanding the strategic use of IOS from relationship perspective.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.200-204
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• 2015

This paper presents 10 input measures influencing project outcomes. Construction Industry Institute (CII), a consortium of more than 130 project owner and contractor companies, has collected project-level data for over 20 years. Recently, CII has developed a new system measuring project-level performance and factors presumably influencing project performance. The system, called 10-10, collects data for 10 input and 10 output measures for capital projects. The input measures include planning, organizing, leading, controlling, design efficiency, human resources, quality, sustainability, supply chain, and safety. This paper provides theoretical background for these measures. Although the input measures have been known to impact on project outcomes such as cost and schedule, there has been no study quantitatively evaluating how they are operated in the construction industry. This study contributes to revealing the current status of their uses, which will be helpful in establishing strategies improving construction project performance.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.93-103
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• 2014

The rapid trends toward outsourcing have created more complex and fragmented multi-tier supply chains for Engineering, Procurement & Construction(EPC) industry. Working with suppliers and sub-suppliers requires continuous integration activities during project execution. The purpose of this study is to identify the factors influencing the performances and relationship satisfaction of second-tier suppliers participating in the project-based supply chain. This study proposes the network embeddedness, collaboration, information-sharing and flexibility as antecedents variables, and collected the survey responses from the second-tier suppliers having experiences with complex projects. The statistical results indicate that the collaboration with supply chain leading firm and first-tier supplier has significant impact on the performances and relationship satisfaction of second-tier suppliers. It was also found that the information-sharing and flexibility influence the network embeddedness as well as collaboration, and that the embeddedness have significant impact on the collaboration.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.2
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• pp.59-71
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• 2009

A great number of companies continue to invest heavily in information technology such as SCM The reasons for this investment vary, but the principal belief is that they will use the technology to gain competitive advantage in today's highly dynamic and changing business market. In order to identify the SCM management performance, this study investigates the impacts of information technology strategy(operation-oriented and market-oriented) on the information technology investment direction(internal system orientation and external system orientation), process innovation level and management performance(non-financial performance and financial performance). This study collected data on-line and off-line from enterprises which implement the supply chain management. The 82 responses were used for the statistical analysis.

• Korean Journal of Construction Engineering and Management
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• v.7 no.4 s.32
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• pp.177-183
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• 2006

Risk-based estimation has been successfully introduced into the construction industry. By incorporating historical data associated with probability analysis, risk-based estimate is an effective decision support aid in considering whether to launch a particular project. The industry challenges, however, especially related with management issues, such as labor shortage, wage growth, and supply chain complexity, have often resulted in poor cost performance. The insufficient assessing the project characteristics (i.e., resource availability, project complexity, and project delivery method) can be the main reasons in the poor cost performance. Because the accuracy level of cost performance prediction can be enhanced by extensive evaluation of the subject project characteristics, a new approach for predicting cost performance in an earlier stage of a project can improve the Industry substantiality, in other words, value maximization. The purpose of this paper is to develop a new methodology in developing a risk-based estimate tool by incorporating extensive project characteristics. To do this, an extensive industry survey was conducted from both private and public sectors in building industry in Korea. In addition, significant project characteristics were identified in terms of cost performance indicator. Although the data collection is limited to Korean industry the suggested approach provides the industry with a straightforward methodology in risk management. As many researchers maintained that front-end planning efforts are crucial in achieving the successful outcome in building projects, the new method for risk-based estimation can Improve the cost performance as well as enhance the fulfillment in terms of business sustainability.

• The Journal of Bigdata
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• v.1 no.2
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• pp.65-78
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• 2016

In the rapid change of business environment, it is crucial that several companies with core competence cooperate together in order to deliver competitive products to the market faster. Thus a lot of companies are participating in supply chains and SCM (Supply Chain Management) become more important. To efficiently manage supply chains, the analysis of data from SCM systems is required. In this paper, we explain how to analyze SCM related data with process mining techniques. After discussing the data requirement for process mining, several process mining techniques for the data analysis are explained. To show the applicability of the techniques, we have performed a case study with a company in South Korea. The case study shows that process mining is useful tool to analyze SCM data. On specifically, an overall process, several performance measures, and social networks can be easily discovered and analyzed with the techniques.

• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.65-75
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• 2012

Organizational citizenship behaviors(OCB) are discretionary behaviors of employees, which go beyond that which is required, and are known to be contributing factors of organizational performance. When a supply chain management(SCM) system is implemented, organizational knowledge concerning the global standards, process innovation and key performance indicators(KPI) is also spread out across different, disconnected silos, thus increasing the absorptive and innovative capacity of employees. Therefore, OCB may be an important antecedent to successful operation of supply chain. This paper examines the causal relationships among absorptive capacity of employees, organizational citizenship, SCM performance and intention to innovate in global manufacturing corporations in Korea. Empirical results from 122 survey responses indicate that the organizational citizenship affects the level of SCM performance and absorptive capacity, which, in turn, influences SCM performance. As expected, SCM performance has been found to affect intention to innovate, but absorptive capacity has no impact on intention to innovate. As a conclusion, the academic and practical implications of these findings are discussed.

• Industrial Engineering and Management Systems
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• v.9 no.3
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• pp.285-293
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• 2010

To obtain visible and traceable information from the supply chain, HW/SW standards for the EPC global network, which process electronic product code (EPC) data read from Radio frequency identification (RFID) tags, are regarded as the de facto industry standard. Supply chain participants install information service systems and provide logistics information to partners by following the EPCglobal architecture framework. Although quality of service (QoS) is essential for providing dependable and scalable services as pointed out by Auto-ID Lab, only a few models for the performance analysis of QoS-related work have been developed in the context of EPC information service systems. Specifically, doing so allows alternative design choices to be tested in an easy and cost-effective manner and can highlight potential performance problems in designs long before any construction costs are incurred. Thus, in this study we construct a model of an EPC information service system for the purposes of performance analysis and designing a dependable system. We also develop a set of building blocks for analytical performance models. To illustrate how the model works, we determine the characteristics of an EPC information service system and then select a combination of these proven modeling concepts. We construct a performance model that considers the response time and shows how to derive meaningful performance values. Finally, we compare the analytical results to measurements of the EPC information service system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.69
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• pp.13-22
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• 2001

The efficient quality assurance system to prevent mixed assembly in introduced in this paper, It supports JIT(Just-In-Time) based Kanban and demand pull system. A new system is designed for the synchronized production and quality assurance using barcode and production kanban card, And the performance improvement method for the stable and fast response of the proposed system is suggested in this paper also. As the result of the proposed system, we improved production status visibility and quality traceability.

• The Journal of Information Systems
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• v.23 no.4
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• pp.75-91
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• 2014

The effective supply chain management(SCM) is a matter of survival in many firms because successful supply chains will effectively coordinate their processes, focus on delivering customer value, eliminate unnecessary costs in key functional areas, and create performance measurement systems. The balanced scorecard(BSC) is widely used to measure the performance of the SCM. The BSC framework suggests that balance is obtained by adopting performance measures from four different areas. In this study, we analyzed the causal relationship of SCM performance based on BSC framework. First, we reviewed the nested causal relationships among four different perspective of the BSC, namely, business process perspective, customer perspective, financial perspective, and innovation and learning perspective. Then, we used the chi-square difference test to identify the best model to fit the causal relationship of SCM performance. Of the 800 questionnaires posted, a total of 265 questionnaires were returned after one follow-up. A total of 66 questionnaires were eliminated due to largely missing values. The major finding says alternative model 3 is dominant to other models to fit causal relationships among four different perspective of the BSC. Innovation and learning perspective positively influence on customer perspective, business process perspective, and financial perspective. Business process perspective also positively influence on customer perspective and financial perspective whereas customer perspective does not influence on financial perspective significantly.