• Knowledge Management Research
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• v.23 no.4
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• pp.133-157
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• 2022

As data becomes a new core resource with high attention, MyData service is spreading to various fields such as finance, medical care, and the public sector. However, research on the behavior of MyData service users is insufficient. Therefore, this study aims to empirically examine the effect of MyData service traits on value perception and acceptable behavior particularly in the financial sector where MyData service is most active. To this end, this study proposed a research model based on the literature. 295 survey responses were collected from individuals and analyzed using AMOS 26.0 for hypothesis testing. As a result of the analysis, it was found that self-information control, financial convenience, and personalized service had a significant effect on perceived value, and that perceived value had a significant effect on the intention to accept MyData service. Furthermore, this study examined the role of personal innovation and technological security in the relationship between variables by suggesting them as moderators. Results show that individual innovation was found to strengthen the relationship between two variables(self-information control and personalized service) and perceived value. Also, technological security was shown to strengthen the relationship between perceived value and intention to accept financial MyData services. The findings are expected to provide useful information to understand the factors affecting the acceptance of financial MyData service users and to understand the importance of individual innovation levels and technological security.

• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.205-212
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• 2015

This paper aims to investigate key factors affecting customer adoption of the online review from the three perspectives such as customer review characteristics, reviewer characteristics, and customer characteristics. We collected data on customers who have experience in purchasing products in Taobao. The major findings are as follows. First, the customer review amount and vividness are not directly related to customer adoption of the online review. Second, the trust of reviewer and perceived similarity have positive effects on customer adoption of the online review. Third, the prior knowledge and product involvement increase customer adoption of the online review. Finally, customers' purchase intention is greatly determined by customer adoption of the online review. This paper presents the importance of the management of customer reviews and management method for the stakeholders of shopping mall to advancing Chinese market.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.375-387
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• 2018

This study investigates the factors that induce the early adoption of environmentally friendly vehicles. We measure the affective, cognitive, and behavioral factors influencing the early adoption intentions of car owners in three countries (the US, Germany, and Japan). We find that affective and cognitive factors are significant, but behavioral factors are only partially significant. Specifically, eco-centric values and knowledge about green technology are significant in explaining early adoption intent. However, of the behavioral factors, usage context is significant, whereas commute distance is not significant in explaining early adoption intent. Finally, between-country differences indicate that any policy to increase the adoption of environmentally friendly vehicles should be fine-tuned for each country.

• Journal of the Korean Society for information Management
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• v.34 no.2
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• pp.47-80
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• 2017

The purpose of this study is to develop an adoptive model of institutional repositories (IRs) by identifying the key factors affecting adoptive intention of IRs and explaining the relations among these factors. Through a survey of 270 researchers and 12 in-depth interviews in the field of physics, mathematics, and life science in Korea, performance expectancy, perceived risks, socio-organizational influence, and individual characteristics were found to have substantial influences on the adoptive intention of IRs. Among the key factors, individual characteristics showed the greatest effect on the adoptive intention of IRs, followed by performance expectancy and other socio-organizational influences except for the perceived risks. Strategies to enhance the adoptive intention of IRs based on analyses of the results were suggested, in terms of the reformation of research assessment system at the national level, strengthening of role of the operational institution, and the need for voluntary scientists-participating service.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.137-147
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• 2013

The purpose of this study is to review the relationship between knowledge management and innovation, and the moderating effect of Convergence Federation in Small & Medium Business. In order to verify and achieve the purposes mentioned above, questionnaire data are gathered and analysed from 481 establishments located in Kangwon-do, Chungpuk-do, Kyunggi-do, Kyungpuk-do province and so on. Multiple regression and multiple hierarchical regression analysis are applied to test the proposed hypotheses: 1) the relationship between knowledge management and innovation, 2) the moderating effects of Convergence Federation's participation on the relationship between knowledge management and innovation. Empirical survey's findings are as follows; First, knowledge acquisition and application showed to be positively related with all innovation activities(organization innovation, human resource innovation, product innovation, and quality innovation). Second, Convergence Federation's participation strengthened the positive relationship between knowledge acquisition and product innovation, and it did also the positive relationship between knowledge application and product innovation.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.17-18
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• 2007

데이터베이스 튜닝은 일반적으로 데이터베이스 어플리케이션을 "좀 더 빠르게" 실행하게 하는 일련의 활동을 뜻한다[1]. 데이터베이스 관리자가 튜닝에 필요한 주먹구구식 룰(Rule of thumb)들을 모두 파악 하고 상황에 맞추어 적용하는 것은 비싼 비용과 오랜 시간을 요구한다. 그렇게 때문에 서로 다른 어플 리케이션들이 맞물려 있는 복잡한 서비스는 필수적으로 자동화된 데이터베이스 성능 관리와 튜닝을 필 요로 한다. 본 논문에서는 이를 해결하기 위하여 지식 도매인(Knowledge Domain)을 기초로 한 자동화 된 데이터베이스 튜닝 원칙(Tuning Principle)을 제시하는 시스템을 제안한다. 각각의 데이터베이스 튜닝 이론들은 지식 도매인의 지식으로 활용되며, 성능에 영향을 미치는 요소들을 개체(Object)와 콘셉트 (Concept)로 구성하고 추론 시스템을 통해 튜닝 원칙을 추론하여 쉽고 빠르게 현재 상황에 맞는 튜닝 방법론을 적용시킬 수 있다. 자동화된 데이터베이스 튜닝에 대해 여러 분야에 걸쳐 학문적인 연구가 이루어지고 있다. 그 예로써 Microsoft의 AutoAdmin Project[2], Oracle의 SQL 튜닝 아키텍처[3], COLT[4], DBA Companion[5], SQUASH[6] 등을 들 수 있다. 이러한 최적화 기법들을 각각의 기능적인 방법론에 따라 다시 분류하면 크게 Design Tuning, Logical Structure Tuning, Sentence Tuning, SQL Tuning, Server Tuning, System/Network Tuning으로 나누어 볼 수 있다. 이 중 SQL Tuning 등은 수치적으로 결정되어 이미 존재하는 정보를 이용하기 때문에 구조화된 모델로 표현하기 쉽고 사용자의 다양한 요구에 의해 변화하는 조건들을 수용하기 쉽기 때문에 이에 중점을 두고 성능 문제를 해결하는 데 초점을 맞추었다. 데이터베이스 시스템의 일련의 처리 과정에 따라 DBMS를 구성하는 개체들과 속성, 그리고 연관 관계들이 모델링된다. 데이터베이스 시스템은 Application / Query / DBMS Level의 3개 레벨에 따라 구조화되며, 본 논문에서는 개체, 속성, 연관 관계 및 데이터베이스 튜닝에 사용되는 Rule of thumb들을 분석하여 튜닝 원칙을 포함한 지식의 형태로 변환하였다. 튜닝 원칙은 데이터베이스 시스템에서 발생하는 문제를 해결할 수 있게 하는 일종의 황금률로써 지식 도매인의 바탕이 되는 사실(Fact)과 룰(Rule) 로써 표현된다. Fact는 모델링된 시스템을 지식 도매인의 하나의 지식 개체로 표현하는 방식이고, Rule 은 Fact에 기반을 두어 튜닝 원칙을 지식의 형태로 표현한 것이다. Rule은 다시 시스템 모델링을 통해 사전에 정의되는 Rule와 튜닝 원칙을 추론하기 위해 사용되는 Rule의 두 가지 타업으로 나뉘며, 대부분의 Rule은 입력되는 값에 따라 다른 솔루션을 취하게 하는 분기의 역할을 수행한다. 사용자는 제한적으로 자동 생성된 Fact와 Rule을 통해 튜닝 원칙을 추론하여 데이터베이스 시스템에 적용할 수 있으며, 요구나 필요에 따라 GUI를 통해 상황에 맞는 Fact와 Rule을 수동으로 추가할 수도 었다. 지식 도매인에서 튜닝 원칙을 추론하기 위해 JAVA 기반의 추론 엔진인 JESS가 사용된다. JESS는 스크립트 언어를 사용하는 전문가 시스템[7]으로 선언적 룰(Declarative Rule)을 이용하여 지식을 표현 하고 추론을 수행하는 추론 엔진의 한 종류이다. JESS의 지식 표현 방식은 튜닝 원칙을 쉽게 표현하고 수용할 수 있는 구조를 가지고 있으며 작은 크기와 빠른 추론 성능을 가지기 때문에 실시간으로 처리 되는 어플리케이션 튜닝에 적합하다. 지식 기반 모률의 가장 큰 역할은 주어진 데이터베이스 시스템의 모델을 통하여 필요한 새로운 지식을 생성하고 저장하는 것이다. 이를 위하여 Fact와 Rule은 지식 표현 의 기본 단위인 트리플(Triple)의 형태로 표현된다, 트리플은 Subject, Property, Object의 3가지 요소로 구성되며, 대부분의 Fact와 Rule들은 트리플의 기본 형태 또는 트리플의 조합으로 이루어진 C Condition과 Action의 두 부분의 결합으로 구성된다. 이와 같이 데이터베이스 시스템 모델의 개체들과 속성, 그리고 연관 관계들을 표현함으로써 지식들이 추론 엔진의 Fact와 Rule로 기능할 수 있다. 본 시스템에서는 이를 구현 및 실험하기 위하여 웹 기반 서버-클라이언트 시스템을 가정하였다. 서버는 Process Controller, Parser, Rule Database, JESS Reasoning Engine으로 구성 되 어 있으며, 클라이 언트는 Rule Manager Interface와 Result Viewer로 구성되어 었다. 실험을 통해 얻어지는 튜닝 원칙 적용 전후의 실행 시간 측정 등 데이터베이스 시스템 성능 척도를 비교함으로써 시스템의 효용을 판단하였으며, 실험 결과 적용 전에 비하여 튜닝 원칙을 적용한 경우 최대 1초 미만의 전처리에 따른 부하 시간 추가와 최소 약 1.5배에서 최대 약 3배까지의 처리 시간 개선을 확인하였다. 본 논문에서 제안하는 시스템은 튜닝 원칙을 자동으로 생성하고 지식 형태로 변형시킴으로써 새로운 튜닝 원칙을 파생하여 제공하고, 성능에 영향을 미치는 요소와 함께 직접 Fact과 Rule을 추가함으로써 커스터마이정된 튜닝을 수행할 수 있게 하는 장점을 가진다. 추후 쿼리 자체의 튜닝 및 인텍스 최적화 등의 프로세스 자동화와 Rule을 효율적으로 정의하고 추가하는 방법 그리고 시스템 모델링을 효과적으로 구성하는 방법에 대한 연구를 통해 본 연구를 더욱 개선시킬 수 있을 것이다.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.61-71
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• 2018

The research analysis will be proceeded with a specific question: The kind of endeavors the ICT providers must focus on within the ICT industry's Schumpeterian pattern of using barriers of knowledge during the rapid technological transformation and pursuing appropriability of guaranteed opportunities. The study was carried out by targeting and conducting empirical observations on the proliferation of technological patent applications made by ICT companies among approximately 5,700 listed North American corporations. The risk of arising cases, in which late-coming non-ICT companies adopt and participate in the technical pertinence and concept derived from the technological advent, will be treated as an independent variable in a survival analysis. Through this analysis, innovative technological attempts and absorption capabilities indicate significance.

• Knowledge Management Research
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• v.22 no.3
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• pp.1-16
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• 2021

For the effective responsiveness toward Management Evaluation System of Public Institutions and continuous development as a public corporation, internal performance management is essential. In this study, the effect of employees' perceptions on the effectiveness and acceptability of the internal performance evaluation system on organizational commitment was tested, and we attempted to find implications for efficient performance management. For this purpose, we obtained valid responses from 208 members of A corporation and the hypotheses were verified through multiple regression analysis. As a result of the analysis, 'performance evaluation effectiveness' and 'performance evaluation acceptability' for internal performance evaluation had positive effects on 'organizational commitment'; however, the effect of 'differential performance compensation' on 'organizational commitment' was not significant. Also, among the control variables, 'age' and 'job group' were found to have a negative (-) effect on 'organizational commitment'. To derive more generalized conclusion, other researches using bigger samples are needed.

• Korean Journal of Social Welfare
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• v.67 no.4
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• pp.79-101
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• 2015

What is the role of welfare discourse? Michel Foucault suggests the power and knowledge relation that power in a particular society and period controls the society and members by creating knowledge affecting the formation of cognitive and normative systems. Having the formation of exclusions(constraint of cognition), and materiality and reality(normative system) as an analytical framework, this article attempts the exploration of welfare discourse analyses with public statements relating to welfare subjects of the four former Korean presidents. As a result, It is found that dominant epistemic system is formed by balancing welfare and growth and regarding jobs as the best welfare(the linkage of welfare-growth-employment), emphasizing individual economic responsibility and self-reliance, pursuing welfare selectivism, and excluding comprehensive welfare provisions. At the same time, it is observed that power is not always formulating systematic knowledge and that there is a gap between cognition and norm. While the Foucauldian discourse analysis provides a causal inference about low social welfare expenditure, excessive focus on the role of power as knowledge generator and infuser causes a question of how to accommodate contemporary changes into knowledge system.

• Journal of Industrial Convergence
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• v.21 no.6
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• pp.53-60
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• 2023

The purpose of this study is to identify the subjective health status, COVID-19 risk perception, antibody knowledge, social influence, intention of acceptance of the COVID-19 antibody test for general adults and the factors affecting the acceptance of the COVID-19 antibody test. The subjects of the study were 147 adults, and the collected data were analyzed using the SPSS 27.0 program using the frequency, percentage, average and standard deviation, independent t-test, ANOVA, pearson's correlation coefficients, and multiple regression analysis. The results, the acceptance of the COVID-19 antibody test has a significant static correlation with the social influence, the COVID-19 risk perception, and the negative correlation with the subjective health. The factor affecting the acceptance of the COVID-19 antibody test of the general adult was a social influence, and their explanatory power was 50.2%. As a result of this study, COVID-19 antibody tests may be used by preparing effective measures to prevent the spread of the COVID-19 infection.