• 기술혁신연구
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• 제26권2호
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• pp.69-93
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• 2018

기업들이 저원가와 높은 품질을 동시에 추구하게 됨에 따라 제품 아키텍처 기반 경쟁은 기업 전략의 중요한 일부가 되었다. 본 연구는 한 중 조선 산업(LNGC)분야 대표기업의 제품 아키텍처와 조직역량을 비교 분석하여 그들이 어떻게 혁신성과를 이루어 냈는지 고찰하였다. 그 결과, 한국기업은 동력계열의 연구개발에 있어 FGSS(Fuel gas supply system), PRS(Partial Re-liquefaction System)와 같이 에너지 효율을 개선하는 장치를 자체 개발하여 기존엔진에 추가하고, 선체 무게를 경량화 하는 등 다양한 미세조정 노력을 통해 우수한 성능을 가지게 하였다. 이는 우수한 연구조직 역량과 현장과의 긴밀한 협업을 통해 실현되었으며, 고부가가치선의 높은 매출로 이어질 수 있었다. 반면 중국 기업은 설계 및 연구개발의 편의성에 집중하여, 기존의 부품에 대한 미세조정 노력을 소홀히 했고 그 결과 동일한 부품을 사용하고도 한국의 선박에 비해 7-10% 낮은 연비 효율을 지닌 것으로 나타났다.

• 수산경영론집
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• 제33권1호
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• pp.19-41
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• 2002

Recently, the number of Internet shopping malls increases dramatically Internet shopping malls offer direct sales by electronic catalogs. As compared with to physical stores and paper catalogs, electronic catalogs differ in terms of the varieties and types of products offered, promotional efforts, service, interface, ordering and delivering, and so on. This paper analysed the features of electronic catalogs for fisheries by 45 variables. By descriptive statistics of electronic catalogs for fisheries, most electron)c catalogs had sufficient product related information. But promotion and transaction security related features were scarce. And some development technologies of electronic catalogs for fisheries were obsolete. By factor analysis, there were 9 factors of electronic catalogs for fisheries, that was, design of product pages, transaction information, playfulness, convenience of product selection, interface design, design of homepages, product information, learning capability, other electronic catalog related factor. Thus in standardizing electronic catalog for fisheries products, the above 9 factors should be reflected significantly.

• 유통과학연구
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• 제20권2호
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• pp.101-108
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• 2022

Purpose: In this logistics disturbance period, this study conducts research of distribution and logistics firms in Korea. The purpose of this exploratory research is to analyze global competitive capability influence on business performance. And give managerial implications and contribute to academics. Research design, data, and methodology: This research empirically analyzes the relationship between global competitive capability and business performance. As for business performance this research considered non-financial performance and measured with business performance fulfillment. As for antecedent variables, this research measured three global competitive capability constructs; preparation, utilization, intensive capability. And each construct includes two capability concepts. This study used 2,316 executing direct export distribution and logistics industry firmsfrom KOTRA's GCL data. This research used frequency analysis, reliability analysis, correlation analysis, and step-wise regression analysis by SPSS26. Results: The result shows that all the variables except export infra showed statistically significant. As results show, mid/long strategy & global mind of preparation capability, both communication and marketing of utilization capability and market strategy and product/goods/service of intensive capability give a positive influence on business performance fulfillment. Conclusions: Based on the results, this research provide implication for practical management, contribution to academic, and suggestion for feature research.

• 한국정보시스템학회지:정보시스템연구
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• 제27권1호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제28권2호
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• pp.1-23
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• 2019

Purpose This study exploratory investigated the effects of the fit between forms of knowledge management(KM) strategy and types of information technology(IT) capability on the kinds of innovations such as product and process innovations. In this study, the openness of innovations that affects the innovations of a firm is considered. Design/methodology/approach For this empirical study, 104 manufacturing firms' data were finally collected through field survey. For the analysis of the data, cluster analysis and multiple regression analysis were employed. Findings This study demonstrated that when a system-oriented KM strategy is adopted, IT flexibility, which supports the implementation of a system-oriented strategy, is highly employed and utilized. It was also found that under a dynamic KM strategy, both IT integration and IT flexibility are highly employed. For the innovation of a firm, it was found that when a system-oriented strategy is employed and the flexibility of IT is highly adopted, the levels of product innovation are enhanced. Under a dynamic strategy, when the degrees of IT integration and IT flexibility are high, high levels of product and process innovations were empirically found. The impact of innovation openness on the innovations of a firm were partially demonstrated. Finally, the positive impact of the innovations on the improvement of performance in manufacturing firms were demonstrated.

• 한국의류학회지
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• 제47권4호
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• pp.743-759
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• 2023

Collaboration between AI and fashion designers is becoming essential. Thus, this study explored (1) 321 consumer responses to fashion designers, comparing their capabilities and product quality across different designer types, (2) the relationship between designer capabilities and perceived product quality, and (3) the moderating role of AI knowledge in the effect of capabilities on perceived product quality. Data were analyzed using EFA, ANOVA, regression, and moderation analysis. The results indicated that subjects perceived human designers as having higher capabilities and perceived product quality than AI designers. All subjects' perceived creativity and empathy significantly impacted the perceived functionality, aesthetics, and symbolism-sociality of clothing. Additionally, the perceived creativity of AI and human+AI designers, and the perceived empathy of human and human+AI designers, significantly influenced the perceived functionality and symbolism-sociality, but the perceived creativity of human designers and empathy of AI designers did not directly impact perceived functionality and symbolism-sociality. Moreover, perceptions of the designers' capabilities significantly aesthetics in all subjects. Furthermore, low levels of perceived consumer AI knowledge enhanced the positive impact of perceived human+AI designers' creativity and empathy on perceived functionality and aesthetics. The study suggests that fashion companies should refrain from revealing AI designers at this time.

• 한국CDE학회논문집
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• 제5권4호
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• pp.359-372
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• 2000

Current CAD systems are good enough to be used as a tool to manipulate three-dimensional shapes. This is a very important capability to be owned by a design tool because a major portion of designers'activities is spent on the shape manipulation in the design detailing process. However, the whole design process involves a lot more than the, shape manipulation. Currently, these remaining tasks, mostly logical reasoning process for the function realization together with structure decomposition in the top-down manner, are processed in the designer's brain. To support the top-down functional design process of a mechanical product, a system integrating the functional, structural and geometrical aspects of a product design in a unified environment is presented. Using this system, a designer can perform function decomposition, structure decomposition, and geometry detailing, and function verification activities in parallel and the whole design process it modeled resultantly. Once the whole design process is modeled, any redesign task can be automatically performed with the verification of the desired functions.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2005년도 춘계학술대회
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• pp.503-521
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• 2005

Process capability indices are widely used in industries and quality assurance system. When designing the parameter on the multiple quality characteristics, there has been a study for optimization of problems, but there has been few former study on the possible conflicting phenomena in considertion of the correlations among the characteristics. To solve the issue on the optimal design for muliple quality characteristics, the study propose the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of terms. Therefore, the analysis have to be required a multivariate statistical technique. This paper introduces to multivariate capability indices and then selects a multivariate process capability index incorporated both the process variation and the process deviation from target among these indices under the multivariate normal distribution. We propose a new multivariate capability index $MC_{pm}^{++}$ using quality loss function instead of the process variation and this index is compared with the proposed indices when quality characteristics are independent and dependent of each other,

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2004년도 추계학술대회
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• pp.69-79
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• 2004

Process capability indices are widely used in industries and quality assurance system. When designing the parameter on the multiple quality characteristics, there has been a study for optimization of problems, but there has been few former study on the possible conflicting phenomena in considertion of the correlations among the characteristics. To solve the issue on the optimal design for multiple quality characteristics, the study propose the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of terms. Therefore, the analysis have to be required a multivariate statistical technique. This paper introduces to multivariate capability indices and then selects a multivariate process capability index incorporated both the process variation and the process deviation from target among these indices under the multivariate normal distribution. We propose a new multivariate capability index $MC_{pm}^{++}$ using quality loss function instead of the process variation and this index is compared with the proposed indices when quality characteristics are independent and dependent of each other.

• 마이크로전자및패키징학회지
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• 제22권2호
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• pp.1-4
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• 2015

Qualification includes all activities to demonstrate that a product meets and exceeds the reliability goals. Manufacturers need to spend time and resources for the qualification processes under the pressure of reducing time to market, as well as offering a competitive price. Failure to qualify a product could result in economic loss such as warranty and recall claims and the manufacturer could lose the reputation in the market. In order to provide valid and reliable qualification results, manufacturers are required to make extra effort based on the operational and environmental characteristics of the product. This paper discusses optimal interval censoring design for reliability prediction of electronic packages under limited time and resources. This design should provide more accurate assessment of package capability and thus deliver better reliability prediction.