• Journal of Christian Education in Korea
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• v.61
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• pp.203-232
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• 2020

The purpose of this study was to analyze various factors that influence the academic life of students through a theoretical review. As a result of the analysis, sub-factors were derived to diagnose the factors. From the study's findings, principles and models for developing learning status diagnosis tools were designed. The study first, based upon the competencies of university students, university life, students' low academic achievement, and academic probation studies, confirmed what factors affect student learning and from them derived a set of sub-factors. The setting dimension was divided into psychology, learning, and career factors, while also including a factor of faith for Christian university students. Next, in the draft model, sub-factors were constructed for each factor: faith maturity and faith training in the faith factor, positive thinking, emotion regulation, and self-esteem in the psychology factor, self-directed learning ability, learning motivation, and learning strategies in the learning factor, and career reflection, career exploration, career management, and career barriers in the career factor. By using the Delphi method, the final model of learning status diagnosis was confirmed. As a result, we completed the model comprised of nine sub-factors in four parts. A follow-up study should be conducted that examines learning status diagnosis tools development research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.149-163
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• 2023

The policy of promoting innovation clusters aims to enhance the competitiveness of industries by strengthening the linkages between industry sectors and research sectors in specific regions. In Korea, after the concept of innovation clusters was introduced by the OECD in 1997, Korean government actively pursued policies based on this concept in the fields of industry, region, and science and technology. Previous policies and research on the activation of innovation clusters have tended to focus on the exchange and collaboration among members. However, this study focused on enhancing the competitiveness of industries and regions, in other words, strengthening the competitiveness of companies, which is the fundamental reason for fostering innovative clusters. Accordingly, this study aimed to analyze the impact of factors activating innovation clusters on the business performance of SMEs located in the Daedeok Innopolis. To achieve this, based on the essential concept of innovation clusters such as industrial agglomeration factors, networking factors, innovation generation factors, the study derived factors for activating innovation clusters and verified hypotheses using the survey results of 175 companies. Among the factors activating innovation clusters, industrial agglomeration and innovation generation were found to have a positive impact on the business performance of companies. However, networking factors were analyzed to have no significant influence on the business performance of companies. This study differentiates itself by addressing the factors for activating innovation clusters through empirical analysis, unlike previous case-based studies. Furthermore, considering the difference between intuitive judgments on networking factors in innovation clusters and their actual impact on business performance, the study raised the practical significance of conducting a comprehensive examination from various perspectives, such as the socially and culturally embedded structures in the region, the characteristics of specialized industries, and the needs of cluster members, to develop more effective policies for innovation clusters.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.338-344
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• 2020

Intolerance of Uncertainty is associated with numerous psychopathologies, including generalized anxiety disorders. However, several studies differ in the factor structures applicable for the Intolerance of Uncertainty Scale (IUS), and there exists a debate regarding the factorial and construct validity. Thus, in the current study, the IUS was newly translated to explore and verify the structures and factors relative to the cultural background of Korea. The study involved an exploratory factor analysis of randomly extracted data from 260 of 533 adults selected. Results determined that a prospective factor of 3 items and inhibitory factor of 5 items was appropriate. In addition, a confirmatory factor analysis and correlation analysis of the remaining 273 data revealed that a structural model comprising of the 8-items two factors model was well suited (x²=37.699, TLI=0.951, CFI=0.969, RMSEA=0.063, SRMR=0.039), and showed significant static correlation with worry, depression, and state-trait anxiety.

• Journal of Technology Innovation
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• v.24 no.3
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• pp.139-159
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• 2016

The purpose of this study is to find out the factors which promoting career development of scientist and engineer laborforce. We made up three logit analysis models to figure out the factors affecting the career of scientist and engineer laborforce. Dependent variables were composed of job attributes in 2011, current job attribute, changing of working conditions, efforts of job seeking, university education, and personal characters. Three analysis model were composed of demand side model which including job attributes factors, supply side model which focus on employment or university education characters and total model including the demand and the supply factors. The results showed a stable career to the development of scientist and engineer laborforce's job attributes on the demand side than the supply side, such as a college education even more important. After all, the initial stable jobs and good matching policy were the most important policies to be seated in the science and engineering professions.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.164-175
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• 2021

The purpose of this study is to develop the 'Kkondae Scale' and verify its validity. For this purpose, three constructive concepts (attribution error, cognitive rigidity, and one-way communication) were derived through expert interviews, prior research and literature analysis, and 15 preliminary questions were selected. In addition, a preliminary scale was developed by modifying or adding items to conform to each constructive concept through expert content validity evaluation. Next, as a result of the exploratory factor analysis of about 250 adults, a three-factor structure model was derived. As a result of the confirmatory factor analysis on the preliminary scale for about 401 adults, it was confirmed that the fit of the three-factor structure was good. As a result of convergence and discriminatory validity analysis, it was confirmed that the developed scale was a valid tool to measure Kkondae by showing appropriate correlations with listening attitude, empathy, acceptance of others, and intellectual humility. Finally, based on the results of this study, the significance, limitations, and future research direction of the study were discussed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.517-520
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• 2008

The city refreshing development projects in the domestic recently have been performed under leading of public institution laying stress on new city and existing urban district. These development projects are still staying in safety control level despite risk factor management at preliminary estimation stage has been more important factor to success and add value creation. Understanding inaccurately about various risk analysis techniques that can analyze risk factors and the insufficient application of step that can analysis technique s could make projects more difficult. Therefore, this research suggests the more effective methods for risk analysis that can control the risks in the pre-project evaluation stage.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.325-328
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• 2001

본 연구는 가전제품의 정보음을 평가할 수 있는 어휘 척도의 개발을 목적으로 행해졌다. 21명의 주부를 대상으로 8개의 주파수혼 정보음을 제시하여 각 정보음에 대해 30개의 형용사 쌍 체크리스트를 이용하여 5점 척도로 평가하게 하였다. 요인분석은 SPSS S/W를 이용하였고 요인추출 방법은 주성분법(principal component method)으로 하였으며 요인추출 갯수는 scree test와 최종요인구조의 심리적 해석에 기초하여 4개로 결정하였으며 해석의 용이성을 위하여 직교회전방법을 적용하였다. 가전제품의 경고음그룹 4개와 종료음그룹 4개로 구성된 주파수혼합 정보음의 적합성평가에 사용된 30개 형용사 쌍의 요인분석 결과, 4가지 요인구조로 가장 잘 설명할 수 있었으며, 첫 번째 요인은 긴박성 요인, 두 번째 요인은 명료성 요인, 세 번째 요인은 역능 요인, 네 번째 요인은 평가 요인으로 나타났다.

• Journal of The Korean Association For Science Education
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• v.40 no.5
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• pp.503-514
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• 2020

In a sense that achievement emotion is directly associated with achievement activity of students and its result, drastic changes in educational environment such as expansion of e-learning due to COVID-19 may have a large impact on the achievement emotion of students inevitably. However, studies on the foregoing still remain insufficient, and development of a questionnaire capable of making a quantitative measurement on the achievement emotion of students under the environment of e-learning may become the basis of relevant studies, so this study developed the e-learning Achievement Emotions Questionnaire-Korean Middle school Science(e-AEQ-KMS) and verified its validity. e-AEQ-KMS in this study was developed based on the Achievement Emotions Questionnaire-Korean Middle school Science (AEQ-KMS) and by reflecting characteristics of e-learning science class. With 226 questions in total, the questionnaire is composed to measure 9 kinds of achievement emotion such as enjoyment, hope, pride, relief, anger, anxiety, hopelessness, shame, and boredom under 3 academic situations of class situation, learning situation and testing situation. The result of this study has a great significance in the way that it set out a framework for making a comparative analysis quantitatively on the achievement emotion of Korean middle school students in science for e-learning classes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.182-199
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• 2023

Since 2021, government departments have been promoting Automated Driving Technology Development and Innovation Project as national research and development(R&D) project. The automated vehicles and service technologies developed as part of these projects are planned to be subsequently provided to the public at the selected Living Lab City. Therefore, it is important to determine a spatial area and operation section that enables safe and stable automated driving, depending on the purpose and characteristics of the target service. In this study, the static Operational Design Domain(ODD) elements for Level 4 automated driving services were reclassified by reviewing previously published papers and related literature surveys and investigating field data. Spatial analysis techniques were used to consider the reclassified ODD elements for level 4 in the real area of level 3 automated driving services because it is important to reflect the spatial factors affecting safety related to real automated driving technologies and services. Consequently, a total of six driving mode changes(disengagement) were derived through spatial information analysis techniques, and the factors affecting the safety of automated driving were crosswalk, traffic light, intersection, bicycle road, pocket lane, caution sign, and median strip. This spatial factor analysis method is expected to be useful for determining special areas for the automated driving service.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.141-151
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• 2022

This exploratory study was conducted to derive the components of digital entrepreneurship by targeting the experts related to Information and Communication Technology (ICT). Through the review of previous studies and Delphi analysis, the major components of digital entrepreneurship were derived into the 'digital entrepreneurial orientation area' and the 'digital technology competency area'. The components of digital entrepreneurship are innovativeness, proactiveness, risk-taking, desire for achievement, ability to identify digital business opportunities, digital technology utilization capability, digital operation process establishment capability, digital technology development capability, digital technology acceptance, information exchange, and cooperation network establishment, digital-based customer acquisition and management was presented. The importance and execution of success factors were measured through IPA analysis. The first quadrant(keep up the good work) includes proactiveness, ability to identify digital business opportunities, and ability to establish digital business processes. The second quadrant(concentrate here) includes innovativeness, digital technology development capability, and digital technology acceptance. The third quadrant(low priority) includes risk-taking, desire for achievement, digital technology utilization capacity, and digital-based customer acquisition and management. The fourth quadrant(possible overkill) includes information exchange and cooperation network establishment. This study is meaningful in that it presents the concept and components of digital entrepreneurship for digital entrepreneurs that can be applied in Korea.