• Journal of Distribution Science
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• v.14 no.9
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• pp.121-132
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• 2016

Purpose - This study has the following objectives. First, it seeks to build an integrated model that can analyze the path through which headquarters, subsidiary competence, and knowledge transfer performance influence subsidiary performance. Second, it analyzes the influence of the specificity of technology as a moderating effect factor on knowledge transfer process. Third, it will conduct an empirical analysis on distributive manufacturing MNEs and suggests an implication for companies that actually need technological localization. The difference of this study are as follows. First, unlike the existing studies, this study can expand a theoretical discussion as it uses subsidiary performance as the dependent variable. Second, it sets the specificity of technology as a moderating effect factor, not an antecedent, and can draw a theoretical implication. Research design, data, and methodology - This study built a path analysis model to identify the influence of the disseminative capacity and absorptive capacity of distributive manufacturing MNEs on subsidiary performance. Based on the previous studies, it set 19 items as 5 latent variables, and established 6 hypotheses by including the moderating effect of the specificity of technology between them. The final 203 companies were selected as analysis samples through a survey questionnaire. For empirical analysis, the study used PLS (Partial Least Square) that is based on structural equation model. Results - The empirical analysis result demonstrated that both headquarters' disseminative capability and subsidiaries absorptive capacity had a positive influence on knowledge transfer performance. Knowledge transfer performance also had a positive influence on subsidiary performance. In the analysis of moderating effect, the specificity of technology acted as a significant moderating variable only between knowledge transfer performance and subsidiary performance; it did not show a statistically significant moderating effect among disseminative capability, absorptive capacity, and knowledge transfer performance. Conclusions - The empirical analysis results of this study demonstrate the importance of disseminative capability and absorptive capacity in knowledge transfer to subsidiaries from the distributive manufacturing MNEs in Korea. The analysis on the moderating effect indicates that the specificity of technology in Korean companies influences on the process of making achievement by using the transferred knowledge.

• The Journal of Information Systems
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• v.27 no.1
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• pp.111-131
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• 2018

Purpose This study empirically investigated the impact of information technology(IT) capability on the co-innovation with suppliers and the effects of the co-innovation with suppliers on the product and process innovations in manufacturing firms. We demonstrated that IT promotes innovations trough the sharing of knowledge with suppliers. Design/methodology/approach The empirical data were collected through post-survey. 97 valid survey data were finally collected. With a multiple-regression analysis, we confirmed the influence relationships among critical variables. Findings In the empirical results, it was found that IT integration positively and significantly influences the amount of inter-organizational information exchange with suppliers. The results showed that the inter-organizational information flow with suppliers has a positive and significant impact on the inter-organizational learning with suppliers. It was also observed that the inter-organizational learning with suppliers facilitates and promotes the co-innovation with suppliers. From these results, it is concluded that the co-innovation with suppliers is activated through the knowledge transfer or sharing caused by an inter-organizational information flow or learning. Finally, the positive effects of the co-innovation with suppliers on the product and process innovations were empirically confirmed. Thus, it is suggested that IT capability influences innovations through the co-innovation with suppliers caused by an inter-organizational information flow.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.65-75
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• 2017

The purpose of this study is to investigate how software policy shows the moderating effects between organizational capability maturity and organizational performance. The software policy includes the proportions of development personnel and development budget that can affect organizational performance. It is important to empirically identify whether the ratios of budget and personnel, which are some of the main policy indexes of the organization can promote the causal relationship between organizational maturity and organizational performance. These personnel and budget may be assumed to affect the causal relationship between organizational capability maturity and organizational performance. The results of this study shows that the moderating effects of software policy are partially proved. The two policy indexes, personnel ratio and budget ratio, showed a moderating effect between process implementation and organizational performance, but did not show any moderating effect between quantitative management and organizational performance. This is because the companies participating in the survey are still in the early stages of quantitative process management and quantitative management does not show the differentiated results among the participating organizations. The significance of this study is as follows. In the academic aspect, the causal relationship between organizational maturity and organizational performance was examined empirically, and it was analyzed whether the two adopted policy indicators have a moderating effect between organizational maturity and organizational performance. On the practical side, the analysis suggested that the ratios of budget and personnel emphasized by the government or organization played a role of facilitating the organizational maturity and organizational performance.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.357-362
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• 2007

This study presents a methodology that efficiently evaluates and interprets the end-user computing capability in a total perspective in a computing environment. The evaluation system has an evaluation tool, evaluation method and process, and an interpretation system. The validity and reliability of the developed tool construct was verified by factor and reliability analysis with the application of SPSS software. The application and utilization of the developed system was confirmed by applying it to evaluating the computing competency of 316 workers in an enterprise and presenting its evaluation results. This will contribute to developing a methodology for totally evaluating and interpreting the end-user computing capability and improving their computing capability in industrial fields.

• Journal of Korean Society for Quality Management
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• v.49 no.3
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• pp.327-340
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• 2021

Purpose: The purpose of this study is to propose a system predicting whether an electricity distribution system is abnormal by analyzing the temperature of the deteriorated system. Traditional electricity distribution system abnormality diagnosis was mainly limited to post-inspection. This research presents a remote monitoring system for detecting thermal images of the deteriorated electricity distribution system efficiently hereby providing safe and efficient abnormal diagnosis to electricians. Methods: In this study, an object detection algorithm (YOLOv5) is performed using 16,866 thermal images of electricity distribution systems provided by KEPCO(Korea Electric Power Corporation). Abnormality/Normality of the extracted system images from the algorithm are classified via the limit temperature. Each classification model, Random Forest, Support Vector Machine, XGBOOST is performed to explore 463,053 temperature datasets. The process capability index is employed to indicate the quality of the electricity distribution system. Results: This research performs case study with transformers representing the electricity distribution systems. The case study shows the following states: accuracy 100%, precision 100%, recall 100%, F1-score 100%. Also the case study shows the process capability index of the transformers with the following states: steady state 99.47%, caution state 0.16%, and risk state 0.37%. Conclusion: The sum of caution and risk state is 0.53%, which is higher than the actual failure rate. Also most transformer abnormalities can be detected through this monitoring system.

• Journal of Ocean Engineering and Technology
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• v.18 no.6 s.61
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• pp.22-28
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• 2004

A mathematical model has been developed to evaluate the capability of sea water exchanges under tidal and diffusive environments and has been verified through comparison with numerical experiments. From the mathematical analysis, this study presents the rates of sea water exchanges due to the tidal inflow and diffusion process. The port characteristic length $L_p$ is the most significant evaluation index.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.115-123
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• 2014

Patent information analysis has been carried out for technological capability analysis of competitors relating to next generation mobile communication. Various analysis methods, such as applicant analysis, technology classification analysis, indicator analysis and the like have been utilized as a method of analyzing patent information. As a first step for the technological capability analysis of competitors, applicants having high patent activity(PA) were selected, and as a second step therefor, technology classifications showing high technological independence (TI) were selected. Furthermore, portfolios for technology classifications showing high technological independence in the patents of main applicants having high patent activity by matching results the first and second steps together were prepared. Through such a process, portfolios for important technologies which have been concentrically researched by competitors could be analyzed. Accordingly, the present analysis results will help to carry out strategic R&D management, such as the establishment of company R&D plans and patent strategies.

• Journal of Korean Society for Quality Management
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• v.48 no.1
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• pp.125-147
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• 2020

Purpose: This study would measure the users'perceived overall quality level of A automobile Company, which has leading market power in the domestic automobile market and analyze the causal relationships in the quality value process Model to quality capability, customer value and loyalty based on that. Especially, this study would analyze the relative impacts of the users'perceived risks appearing in the quality value process model of the formation of Quality Factors(QF), Customer Value(CV), and Customer Loyalty(CL) and analyze the moderating effect of the causal relationships among the components. Methods: For an analysis of causal relationships connected to QF, CV, and CL of the customers who purchased Auto manufacturer A's automobile users, 179 users who used within 3 years were utilized as samples for the analysis. As for QF, based on the Garvin(1988), the QF of automobiles were redesigned. For a structural equation analysis of the entire research model, the PLS(S(Partial Least Square) model was utilized. Results: As a result of an analysis, R2 of CV and CL was 0.652 for CV and 0.664 for CL, which was a very stable Goodness of fit. As a result of an analysis of the hypotheses of QF and CV, automobile performance, conformance, aesthetics, serviceability, and durability. In addition, it turned out that the perceived risk had a moderating effect on convenience, service availability, and perceived quality. Conclusion: This study found that the perceived quality risk appearing among automobile users had negative effects on the quality value process model to QF, CV and CL. In contrast, there were factors not affecting the users'quality value process in spite of the perceived risk. These factors can suggest important managerial implications in that they can be utilized as Auto manufacturer A's market-dominant strengths.

• Journal of the military operations research society of Korea
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• v.32 no.1
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• pp.36-50
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• 2006

It is required to transport a considerable amount of wartime strategic materials from US to Korea via airlift operation. This study attempts to formulate the wartime airlift operation model and evaluate the airlift capability of mobilized resources, including civil aircrafts. Although an airlift plan has been annually updated by the Korea Transportation Command, it is necessary to evaluate the feasibility through simulation due to uncertainties in the process of airlift operation. Uncertain parameters are as follows; the inter-arrival time of materials in the US airfields, loading and unloading times, the distribution of aircraft's initial location at the time of mobilization order. The simulation is executed under two scenarios and the results are analyzed through a sensitivity analysis. Simulation result shows that the irregularity of inter-arrival time and the number of mobilized civil aircrafts are the most critical factors in influencing airlift capability.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.137-160
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• 2016

This study assesses the structure relationships between resource, product and process innovation capability, technology commercialization competence and performance of firms in Daedeok Innopolis. In particular, this study attempts to analyze technology commercialization competence that may be influenced by product and process capabilities. The development of the research model is based on the literature of resource-based view and the empirical studies of technology commercialization competence. The survey of 109 firms was conducted from January 5, 2015 through February 4, 2015. We investigate the role of a firm's technology commercialization competence in determining its performance by performing Partial Least Squares analysis. The results indicate that a firm's human resources and intangible resources lead to a higher level of its product and process innovation capabilities. This study, however, finds that a firm's tangible resources do not have significant effects on its product and process innovation capabilities. And the study finds evidence that firm's product and process capabilities have positive effects on its technology commercialization competence. The study also finds that a firm's technology commercialization competence is a driving force behind its performance, showing that its technology commercialization competence positively involves its performance. In addition the study finds that technology commercialization competence mediates the relationship between a firm's innovation capability and performance, indicating that the technology commercialization used as mediating variable positively affects its innovation performance.