• Title/Summary/Keyword: Technological Quality

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An Exploratory Study of Developing a Measurement Tool for the Quality of Information Commons (정보공유공간의 품질 측정지표 개발에 관한 탐색적 연구)

  • Park, Ji-Hong;Key, Sun-Ah
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.4
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    • pp.5-25
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    • 2012
  • The purpose of this study is to develop a measurement tool for the quality of information commons. Information commons is a physical, technological, social, and intellectual place where library users can experience various educational, research, and cultural activities. It is recently gaining popularity and several libraries have implemented it to help users share knowledge and interact with each other. It also intends to provide a place for collaboration, learning, and rest. Despite its benefits and usefulness, there is no measurement tool explicitly designed for the quality of information commons. This study used in-depth personal interview, compared prior studies, and conducted a pilot study to elicit library users' perceptions on information commons and factors influencing on the perceived quality of information commons. Groups of initial items were emerged through classifying and clustering key concepts in the data. Then, the validity of the items were verified through a pilot study. The findings of this study will be useful for developing more reliable and valid survey measurement tool.

Analyzing the Determinants of the Patent Quality in Fuel Cell and Solar Cell Technology Using Count Data Models (가산자료 회귀모형을 활용한 연료전지 및 태양전지 분야 특허의 질적 수준 결정요인 분석)

  • Park, Jung-Kyu;Heo, Eunn-Yeong
    • Journal of Korea Technology Innovation Society
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    • v.13 no.2
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    • pp.365-378
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    • 2010
  • For sustainable economic growth, the Korea government continues to increase its investment in R&D and at the same time, have reinforced the management of R&D outcomes and enlargement of its infrastructure for utilization. However, a strategic R&D planning that draws an outstanding outcomes is more important than the management of its post-outcomes. The purpose of this study is to propose an implication on the policy of R&D planning for obtaining a good R&D outcomes such as a high quality patent. We compared and analyzed the determinants of the patent quality in fuel cell and solar cell technology using the count data models. Estimated results showed that the determinants of the patent quality in technologies were different from each other. Therefore, having appropriate R&D planning strategies for all technologies was more effective than applying one same strategy for all because of technological differences, and based on the estimated results, we suggested the R&D planning strategy in fuel cell and solar cell technologies that could in result in high R&D outcomes.

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A Study on the Effect of Contribution to Customer Satisfaction and Behavioral Intentions by the Education and Trainning for Small and Mindium Sized Firms (중소기업을 위한 교육훈련이 고객만족과 행동의도에 미치는 영향에 관한 연구)

  • Koo, J.H.;Kim, Y.H.;Oh, H.S.;Lee, S.J.;Youn, K.S.;Cho, J.H.
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.33 no.1
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    • pp.121-131
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    • 2010
  • Technological innovation depends on the quality of workers, whose ability is the key component to raise business competitiveness. Our study evaluates how satisfactory is the training of workers at small and medium sized firms, and suggest how to improve upon it. We show the theoretical framework for the relation between customer satisfaction and their behavioral intent on the one side, and factors of training service quality. Our result show: (1) Factors affecting customer satisfaction are, in descending order of importance, expertise, policy, follow-up service, attitude and behavior, and convenience. (2) Contrary to established views on the service quality, satisfaction for training would not be the prerequisite variable for intent to act, in case of training service quality. (3) Satisfaction level for training depends on the type of organization in charge of training (government, university, or private sector.) It also varied among different types of business (L-type, A-type, and J-type.) Small and medium sized firms find it difficult to commit to training education due to lack of money and manpower. The recent expansion of free training service would address part of this problem. On the other hand, the outfit in charge of training could boost service quality by customizing their training program to the type of business they cater to.

A Case Study on Quality Improvement of Electric Vehicle Hairpin Winding Motor Using Deep Learning AI Solution (딥러닝 AI 솔루션을 활용한 전기자동차 헤어핀 권선 모터의 용접 품질향상에 관한 사례연구)

  • Lee, Seungzoon;Sim, Jinsup;Choi, Jeongil
    • Journal of Korean Society for Quality Management
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    • v.51 no.2
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    • pp.283-296
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    • 2023
  • Purpose: The purpose of this study is to actually implement and verify whether welding defects can be detected in real time by utilizing deep learning AI solutions in the welding process of electric vehicle hairpin winding motors. Methods: AI's function and technological elements using synthetic neural network were applied to existing electric vehicle hairpin winding motor laser welding process by making special hardware for detecting electric vehicle hairpin motor laser welding defect. Results: As a result of the test applied to the welding process of the electric vehicle hairpin winding motor, it was confirmed that defects in the welding part were detected in real time. The accuracy of detection of welds was achieved at 0.99 based on mAP@95, and the accuracy of detection of defective parts was 1.18 based on FB-Score 1.5, which fell short of the target, so it will be supplemented by introducing additional lighting and camera settings and enhancement techniques in the future. Conclusion: This study is significant in that it improves the welding quality of hairpin winding motors of electric vehicles by applying domestic artificial intelligence solutions to laser welding operations of hairpin winding motors of electric vehicles. Defects of a manufacturing line can be corrected immediately through automatic welding inspection after laser welding of an electric vehicle hairpin winding motor, thus reducing waste throughput caused by welding failure in the final stage, reducing input costs and increasing product production.

A Study on the SCM Capability Modeling and Process Improvement in Small Venture Firms (중소·벤처기업의 SCM역량 모델링과 프로세스 개선 방안에 관한 연구)

  • Lee, Seolbin;Park, Jugyeong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.13 no.2
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    • pp.115-123
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    • 2018
  • This study is empirically intended to put forward the modeling and process improvement measures for the SCM capability in small venture firms. The findings are summarized as follows. There were strategic alliance, technological development and centralization in the modeling of strategic planning for supply chain, not the least of which is strategic alliance, followed by centralization and technological development. There were routing scheduling, network integration and third party logistics outsourcing in decision making, not the least of which was network integration. There were customer service management, productivity management and quality management in management control, not the least of which was quality management. And there were order management choice, pricing demand, shipment delivery and customer management in transaction support system, not the least of which was order management choice. As for the above-mentioned findings, to maximize the SCM capability and operate the optimized process in small venture firms, the existing strategic alliances can optimize the quality management and stabilize the transaction support system through the network sharing and integration from the perspective of relevant organizational members' capability and process improvement. And the strategic linkage between firms can maximize the integrated capability of information system beyond the simple exchange relation between electronic data, achieving a differentiated competitive advantage. Consequently, the systematization and centralization for the maximization of SCM capability, including the infrastructure construction based on the system compatibility and reliability for information integration, should be preceded before the modeling of the integrated capability for optimum supply chain and the best process management in the smart era.

A Study of Influencing Factors Upon Using C4I Systems: The Perspective of Mediating Variables in a Structured Model (C4I 시스템 사용의 영향 요인에 관한 연구: 구조모형의 매개변수의 관점에서)

  • Kim, Chong-Man;Kim, In-Jai
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.73-94
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    • 2009
  • The general aspects for the future warfare shows that the concept of firepower and maneuver centric warfare has been replacing with that of information and knowledge centric warfare. Thus, some developed countries are now trying to establish the information systems to perform intelligent warfare and innovate defense operations. The C4I(Command, Control, Communication, Computers and Intelligence for the Warrior) systems make it possible to do modern and systematic war operations. The basic idea of this study is to investigate how TAM(Technology Acceptance Model) can explain the acceptance behavior in military organizations. Because TAM is inadequate in explaining the acceptance processes forcomplex technologies and strict organizations, a revised research model based upon TAM was developed in order to assess the usage of the C4I system. The purpose of this study is to investigate factors affecting the usage of C4I in the Korean Army. The research model, based upon TAM, was extended through a belief construct such as self-efficacy as one of mediating variables. The self-efficacy has been used as a mediating variable for technology acceptance, and the variable was included in the research model. The external variables were selected on the basis of previous research. The external variables can be classified into following: 1) technological, 2) organizational, and 3) environmental factors on the basis of TOE(Technology-Organization-Environment) framework. The technological factor includes the information quality and the task-technology fitness. The organizational factor includes the influence of senior colleagues. The environmental factor includes the education/train data. The external variables are considered very important for explaining the behavior patterns of information technology or systems. A structured questionnaire was developed and administrated to those who were using the C4I system. Total 329 data were used for statistical data analyses. A confirmatory factor analysis and structured equation model were used as main statistical methods. Model fitness Indexes for measurement and structured models were verified before all 18 hypotheses were tested. This study shows that the perceived usefulness and the self-efficacy played their roles more than the perceived ease of use did in TAM. In military organizations, the perceived usefulness showed its mediating effects between external variables and dependent variable, but the perceived ease of use did not. These results imply that the perceived usefulness can explain the acceptance processes better than the perceived ease of use in the army. The self-efficacy was also used as one of the three mediating variables, and showed its mediating effects in explaining the acceptance processes. Such results also show that the self-efficacy can be selected as one possible belief construct in TAM. The perceived usefulness was influenced by such factors as senior colleagues, the information quality, and the task-technology fitness. The self-efficacy was affected by education/train and task-technology fitness. The actual usage of C4I was influenced not by the perceived ease of use but by the perceived usefulness and selfefficacy. This study suggests the followings: (1) An extended TAM can be applied to such strict organizations as the army; (2) Three mediation variables are included in the research model and tested at real situations; and (3) Several other implications are discussed.

An Empirical Study on the Prediction of Future New Defense Technologies in Artificial Intelligence (인공지능 분야 국방 미래 신기술 예측에 관한 실증연구)

  • Ahn, Jin-Woo;Noh, Sang-Woo;Kim, Tae-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.9
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    • pp.458-465
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    • 2020
  • Technological advances in artificial intelligence are affecting many industries, such as telecommunications, logistics, security, and healthcare, and research and development related to economic, efficiency, linkage with commercial technologies are the current focus. Predicting the changes in the future battlefield environment and ways of conducting war from a strategic point of view, as well as designing/planning the direction of military development for a leading response is not only a basic element to prepare for comprehensive future threats but also an indispensable factor that can produce an optimal effect over a limited budget/time. From this perspective, this study was conducted as part of a technology-driven plan to discover potential future technologies with high potential for use in the defense field and apply them to R&D. In this study, based on research data collected in a defense future technology investigation, the future new technology that requires further research was predicted by considering the redundancy with existing defense research projects and the feasibility of technology. In addition, an empirical study was conducted to verify the significance between the future new defense technology and the evaluation indicators in the AI field.

Understanding the Evaluation of Quality of Experience for Metaverse Services Utilizing Text Mining: A Case Study on Roblox (텍스트마이닝을 활용한 메타버스 서비스의 경험 품질 평가의 이해: 로블록스 사례 연구)

  • Minjun Kim
    • Journal of Service Research and Studies
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    • v.13 no.4
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    • pp.160-172
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    • 2023
  • The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.

Analysis of Disintegration Characteristics of OCC (골판지 고지의 해섬 특성 해석)

  • Lee Hak Lae;Youn Hye Jung;Lee Sang Gil;Kang Tae Young;Heo Young Dae
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.36 no.4 s.107
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    • pp.1-8
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    • 2004
  • Linerboards and corrugating mediums are being produced using recycled old corrugated containers (OCC) as major raw materials. The utilization rate of recycled fibers is ex­pected to increase further in the future to reduce raw material cost. Use of recycled fibers as raw materials for linerboard, however, causes many problems for papermakers. As the utilization rate of recycled fiber and number of recycling of fibers increases, quality and process problems including strength reduction and deterioration of machine runn­ability will increase. To overcome the problem of strength reduction associated with the use of recycled fibrous materials for producing quality linerboards, diverse extensive research efforts and new technological approaches have been taken. In this study, disintegration characteristics of aee was evaluated by determining the unslushed contents. The amount of unslushed content of KOCC was lower than AOCC. But contaminants content of KOCC was higher than AOCC. As the consistency in disintegration increased, the amount of unslushed fiber content decreased.

The Empirical Study on Relation between R&D Innovation Capability and Performance in Knowledge-Based Service Firms (R&D 혁신역량과 기업성과 간의 관계 연구)

  • Kim, Moon Sun;Kim, Soo Jung;Nam, Kyung H.
    • Journal of Korean Society for Quality Management
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    • v.40 no.4
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    • pp.631-640
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    • 2012
  • Purpose: This empirical study is focused on the relationship between innovation capability (R&D and Human Resource innovation) and performance in knowledge-based service firms. Methods: We build research model to test how each of innovation capability on technology and human resource is influenced on their financial and non-financial performance in the knowledge-based service industries. Based on the previous research, we hypothesized the factors are regarded innovation capabilities of the firms as the scale of R&D and human resources. Because this study is especially targeted to the performance of knowledge-based service firms. With the survey on 424 main knowledge-based service firms, the multi-regression analysis was performed. Results: The result showed that the scale of R&D and human resources capabilities are main factors for knowledge-based service firms' performance, which reflects the current industrial structure. Conclusion: This study empirically demonstrated that human resources are most important to the growth of knowledge-based service firms.