• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2013년도 춘계 종합학술대회 논문집
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• pp.51-52
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• 2013

Recent advances in WSN and the wide use of social sensing technologies have been changing our daily lives. In the process of creating intertwining connections and interconnections greatly influencing on the way we communicate with other people, WSN and social communication media have a number of important capabilities that support their utilization in distress broadcast during emergency situations. This paper proposes a system model that makes better utilization of WSN and social sensing capabilities in sending out distress messages to the intended recipients more efficiently and effectively.

• 산업경영시스템학회지
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• 제43권1호
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• pp.110-122
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• 2020

Many companies make considerable efforts in implementing supply chain management systems to increase their competitiveness. In particular, there are significant investments in their ICT (Information and Communication Technology) and supply chain. However, considerable diversity exists in how well firms have been able to assimilate ICT and leverage the business value of it. In addition, studies on supply chains, particularly Real Time Enterprise (RTE) competence, which is cited for rapid information sharing and dynamic capabilities for each role in the supply chain, are insufficient. The purpose of this paper is to explore and evaluate effect of ICT utilization capabilities, including 'ICT internal cooperative capabilities' and 'ICT operational flexibility capabilities', on RTE capabilities (flexibility, visibility and prediction) and supply chain performance. To validate the research model proposed in the study, survey was conducted on companies using ICT along the supply chain of manufacturing industries. 216 data were used, SPSS and AMOS were used for the analysis methods. Study results showed that ICT internal collaboration capabilities affect agility, one of RTE capabilities, but not visibility and prediction, and ICT operational flexibility capabilities have affected all three RTE capacities. And, RTE capabilities had a huge impact on supply chain performance as expected. In this paper, it has been found that the ICT capabilities in manufacturing are an important factor in improving RTE capabilities that are important in the supply chain and improving the performance of the supply chain.

• 산경연구논집
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• 제11권12호
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• pp.17-28
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• 2020

Purpose: The purpose of this study is to confirm the strategic direction of the firm regarding the capabilities of the organization and its employees in order to increase the utilization and business performance of employees by that introduce smart factories in the domestic manufacturing industry. Research design, data, and methodology: This study derived a structured research model to confirm the mediating effect of recognition responses between the quality characteristics of smart factories and dynamic capabilities. For the analysis, a total of 143 valid questionnaires were used for 200 companies that introduced smart factories from domestic SME's. Results: Quality Characteristics of Smart Factory and Dynamic Capabilities had a statistically significant effect on Usefulness. Recognition Response had a statistically mediating on the relationship between quality characteristics of smart factory and business performance. Recognition Response had a statistically significant effect on business performance. Conclusions: It suggests that firms introducing smart factory reflect them in their empowerment strategic because the recognition responses of its employees differ according to the quality characteristics and dynamic capabilities of smart factories. It also means that the information derived from the smart factory system is useful and effective to business performance and employees.

• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• Asia pacific journal of information systems
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• 제25권3호
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• pp.519-539
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• 2015

Customers are now demanding ever better service from customer service representatives (CSRs) to create superior customer service. Accordingly, CSRs are required to have more specialized knowledge and abilities of customer service. This study examines the roles of accumulated customer knowledge in electronic knowledge repositories (EKRs), which a firm has developed for customer service over time to enhance CSRs' work capabilities and work performance, in the context of call centers. To test the proposed research model and hypotheses, we conducted LISREL analysis using 261 responses collected on CSRs working for inbound call centers. The key results are as follows. First, accumulated customer knowledge in EKRs enhances CSRs' knowledge utilization and service expertise during the customer contact. Second, CSRs' knowledge utilization reinforces service expertise. Finally, service quality depends on CSRs' knowledge utilization and service expertise, but it is not directly related to accumulated customer knowledge. Overall, the findings suggest that accumulated customer knowledge in EKRs enhances CSRs' knowledge utilization and service expertise, and thereby leading to superior service quality.

• 문화기술의 융합
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• 제10권4호
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• pp.1-15
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• 2024

우리는 현대 사회에서 중요한 역할을 하는 소상공인의 성공 요인을 깊이 있게 조사하고 분석하여, 그들의 경영 성과에 미치는 요인들을 명확하게 이해하려는 노력을 기울였다. 우리는 소상공인의 경영 역량, 정부 지원 서비스, 그리고 정책 지원 자금의 이용 여부를 주요 변수로 설정하였다. 우리의 연구 결과, 소상공인의 경영 역량과 정부 지원 서비스는 그들의 경영 성과에 긍정적인 영향을 미치는 것으로 나타났다는 사실을 발견하였다. 이는 소상공인들이 자신의 역량을 강화하고, 정부의 지원 서비스를 효율적으로 활용함으로써 경영 성과를 향상시킬 수 있음을 의미한다. 정책 지원 자금의 이용 여부는 정부 지원 서비스가 재무 성과에 미치는 영향에만 조절 효과를 보일 뿐, 다른 경영 성과에는 영향을 미치지 않는 것으로 나타났다. 정책 지원 자금의 이용이 필요하긴 하지만, 그 자체만으로는 충분하지 않으며, 다른 변수들과 복합적으로 작용해야 효과를 볼 수 있음을 시사한다. 우리의 연구는 소상공인의 성공을 위한 새로운 방향성을 제시하였다. 이 연구를 통해 소상공인 및 관련 정책 결정자들은 어떤 요인들이 소상공인의 경영 성과에 영향을 미치는지, 그리고 어떻게 이러한 요인들을 효과적으로 관리하고 활용할 수 있는지에 대해 깊은 통찰을 얻을 수 있을 것이다. 이 연구는 기업 경영 및 소상공인에 대한 학문적 연구에 중요한 기여를 하였다. 소상공인의 성공 요인에 대한 깊은 이해를 통해, 이들의 경영 성과를 향상시키는 데 도움이 될 수 있는 새로운 연구 방향성과 전략을 제시하였다. 이러한 노력은 소상공인의 사회적, 경제적 가치를 높이는 데 한걸음 더 나아가는 계기가 될 것이다.

• 융합경영연구
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• 제8권1호
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• pp.36-49
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• 2020

Purpose - This study investigates factors that affected the utilization of trade support policies and further analyzed how the utilization of trade support policies affected export performance. Research design, data, and methodology - With a sample of 223 small and medium-sized export firms from South Korea, this study examines the determinants of the utilization level of trade support system such as export market orientation, learning orientation, network capability and environmental uncertainty by regression analysis. Results - Export market orientation have a positive effect on the utilization of the trade support system and there is positive relationship between learning orientation and the utilization of trade support system. And network capabilities have had a positive impact on the utilization of the trade support system but there is no relationship between environmental uncertainty and the utilization of trade support system. The utilization of the trade support system had a positive effect on export performance. Conclusions - The internal and external factors of the organization have affected small and medium-sized export firms use of trade support systems. The utilization of trade support system can enhance positive export performance by providing valuable information and resource to external knowledge and also to complementary resources from the external partners.

• 국제지역연구
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• 제22권4호
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• pp.145-166
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• 2018

본 연구는 글로벌 경쟁으로 인해 지역 간의 벽은 사라지고, 고객의 욕구는 다양해지면서 시장과 기술의 급격한 변화가 일어나고 있다. 이에 미래성장 동력의 창출과 산업 경쟁력 향상을 위한 융합역량의 중요성은 점점 강조되어지고 있다. 기업들은 산업 경쟁력의 제고를 통하여 최적화된 글로벌 경영의 환경을 조성하고, 융합기술 활용을 위한 방향성과 전략수립을 통하여 기업의 효율성을 높이기 위한 혁신 수단들을 모색하여야 한다. 기업은 신제품 개발과 프로세스 혁신을 위한 내부적 자원기반인 동적역량들을 통하여 융합역량을 강화해 관련 신기술들을 최대한 수용하고 활용해야만 한다. 글로벌화된 시장과 기술에 대해서는 전략적 방향을 기업의 정형화된 기술역량에 맞추고, 프로세스에는 기술혁신에 필요한 융합역량을 반영할 때보다 높은 혁신성과를 기대할 수 있다. 시장과 기술지향성이 기술혁신성과에 미치는 영향과 동적역량과 융합역량이 기술혁신성과에 어떤 영향을 미치는지와 동적역량과 융합역량이 시장과 기술지향성과 간의 매개역할을 복합 통합적으로 실증하는 것에 초점을 맞추었다. 이를 위해 글로벌 및 다국적 기업으로 국제적 기업 활동 중 이거나 해외 지역에 본사를 두고 있는 기업들(51.4%)을 대상으로 설문을 실시하여 선행연구들을 바탕으로 가설을 수립하고 수집된 데이터를 활용 경로분석과 소벨 테스트 등을 통해 실증 분석을 실시하였다.

• 디지털융복합연구
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• 제22권1호
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• pp.15-21
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• 2024

본 연구는 생성형 AI의 활용 및 사용자 그룹 간 차이에 대한 인식을 분석하고자 하는 목적으로 가지고 있다. 본 연구는 생성형 AI 사용자 그룹 간 차이에 대한 인식을 조사하여 각 사용자층에 대한 AI 활용 역량 증진을 위한 시사점을 도출하였다. 검증 결과, 연령별 집단 간에는 유의적인 차이가 없으며, 전문적 배경에 의한 집단 간에는 생성형 AI 활용 분야와 생성형 AI의 윤리적 관점에서 유의미한 차이를 보였다. 이로 인해 본 연구는 전문 분야에 따라 다른 AI 솔루션 제공 및 맞춤형 교육 훈련 필요성, 윤리적 고려에 대한 특별한 교육과 문화 형성 등에 대한 대안을 제시하였다. 또한 텍스트 마이닝 기법을 통해 연령대별, 전문 분야별로 다른 방식의 AI 활용 및 활용 역량 개발 교육 등을 제안하였다는 점에서 학술적 기여를 했다고 사료된다.

• Nuclear Engineering and Technology
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• 제37권1호
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• pp.79-90
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• 2005

In this paper are reviewed the current status of nuclear fuel management and reactor operational aid tools. In addition, we indicate deficiencies in current capabilities and what future research is judged warranted. For the nuclear fuel management review the focus is on light water reactors and the utilization of stochastic optimization methods applied to the lattice, fuel bundle, core loading pattern, and for BWRs the control rod pattern/core flow design decision making problems. Significant progress in addressing separately each of these design problems on a single cycle basis is noted; however, the outstanding challenge of addressing the integrated design problem over multiple cycles under conditions of uncertainty remains to be addressed. For the reactor operational aid tools review the focus is on core simulators, used to both process core instrumentation signals and as an operator aid to predict future core behaviors under various operational strategies. After briefly reviewing the current status of capabilities, a more in depth review of adaptive core simulation capabilities, where core simulator input data are adjusted within their known uncertainties to improved agreement between prediction and measurement, is presented. This is done in support of the belief that further development of adaptive core simulation capabilities is required to further significantly advance the utility of core simulators in support of reactor operational aid tools.