• 제목/요약/키워드: 역량모델

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The Effects of Entrepreneurship Orientation and Absorptive Capacity on Corporate Performance : Focusing on Mediating Effects of Product Innovation Performance (기업가지향성 및 흡수역량이 기업성과에 미치는 영향 : 제품혁신성과의 매개효과 중심으로)

  • Lim, Jonghwa;Kim, Byung-Keun
    • Journal of Korea Technology Innovation Society
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    • v.21 no.4
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    • pp.1536-1576
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    • 2018
  • This study aims at investigating the path in which entrepreneurial orientation and absorptive capacity, which have a significant influence on the corporate performance of SMEs, are mediated through product innovation performance (product speed, product quality). For the empirical study, 233 questionnaires collected from 1775 SMEs including in Daejeon Techno Park start-ups were analyzed by using structural equation model. The empirical analysis shows that absorptive capacity and entrepreneurial orientation have a positive effect on performance through product innovation performance. Therefore, it is suggested that entrepreneurial orientation and absorptive capacity increase product innovation performance in terms of corporate strategy and external information utilization capability, and product innovation performance leads to performance. This paper suggests that entrepreneurial strategy and capacity to utilize external information are important for introducing high quality products faster than others in response to the external environment.

A Study on the Impact of Local Entrepreneurship Education on the Entrepreneurial Motivation, Entrepreneurial Competencies, and Entrepreneurial Spirit of Education Participants

  • Won-Hee Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.11
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    • pp.201-208
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    • 2023
  • This study is an empirical research aimed at examining the impact of practical, field-oriented local entrepreneurship education for college students and prospective entrepreneurs in the Busan area on their entrepreneurial motivation, entrepreneurial competencies, and entrepreneurial spirit. The study is conducted to enhance the activation of youth entrepreneurship education in the Busan area and to tailor entrepreneurship competency development for prospective local young entrepreneurs. In this study, the factors of entrepreneurial motivation were divided into economic motivation and self-realization motivation, while entrepreneurial competencies were categorized into practical competencies for local entrepreneurship, local brand development competencies, and financial analysis competencies. To conduct the empirical analysis, a survey was administered to 139 participants who took part in entrepreneurship education from March to October 2023. The research findings indicate that local entrepreneurship education significantly influences participants' entrepreneurial motivation, entrepreneurial competencies, and entrepreneurial spirit. Furthermore, it was observed that entrepreneurial spirit also has a significant impact on entrepreneurial motivation and competencies. These results suggest the practical importance of tailoring entrepreneurship education to the specific characteristics of local prospective entrepreneurs.

Leveraging LLMs for Corporate Data Analysis: Employee Turnover Prediction with ChatGPT (대형 언어 모델을 활용한 기업데이터 분석: ChatGPT를 활용한 직원 이직 예측)

  • Sungmin Kim;Jee Yong Chung
    • Knowledge Management Research
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    • v.25 no.2
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    • pp.19-47
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    • 2024
  • Organizational ability to analyze and utilize data plays an important role in knowledge management and decision-making. This study aims to investigate the potential application of large language models in corporate data analysis. Focusing on the field of human resources, the research examines the data analysis capabilities of these models. Using the widely studied IBM HR dataset, the study reproduces machine learning-based employee turnover prediction analyses from previous research through ChatGPT and compares its predictive performance. Unlike past research methods that required advanced programming skills, ChatGPT-based machine learning data analysis, conducted through the analyst's natural language requests, offers the advantages of being much easier and faster. Moreover, its prediction accuracy was found to be competitive compared to previous studies. This suggests that large language models could serve as effective and practical alternatives in the field of corporate data analysis, which has traditionally demanded advanced programming capabilities. Furthermore, this approach is expected to contribute to the popularization of data analysis and the spread of data-driven decision-making (DDDM). The prompts used during the data analysis process and the program code generated by ChatGPT are also included in the appendix for verification, providing a foundation for future data analysis research using large language models.

VRIO Model Based Enterprise Capability Assessment Framework for Plant Project (VRIO 모델 기반의 기업역량평가 프레임워크 제시에 관한 연구 - 플랜트 사업을 중심으로 -)

  • Min, Byeong Su;Min, Jang Hee;Jang, Woosik;Han, Seung-Heon;Kang, Sin Young
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.3
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    • pp.61-70
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    • 2016
  • Construction enterprises have performed various projects such as buildings, infrastructure and plant projects in the international market. Among these, the plant project's amount of orders accounted for about 68.9% of all. However, because of the enterprises won a contract with a low-budget for plant project in the last 10 years, the profit has dropped dramatically. And it is forecasted that there are extreme competition for bid award of plant projects because of the current falling oil prices and raising interest rates. In this circumstance, the comprehending of enterprises strength and weakness must be a priority to get a sustainable competitive advantage. Therefore this research suggests the enterprises's capability assessment framework and it is in order to diagnose the korean construction enterprises capabilities. The framework is based on the VRIO model that is on the basis of resource based theory. First, the capability assessment indices and their importance and priority that based on the life-cycle of plant project is deducted by literature review and survey. Second, the 5 point likert score applied VRIO survey is conducted to diagnose the enterprises and quantified the survey result using the fuzzy theory. Lastly, the competitvie implication and capability assessment are deducted.

The Impact of Science Classes Applying Collaborative Problem solving for Character Competency (CoProC) on the Character Competence and Scientific Affective Characteristics of Vocational High School Students (협력적 문제해결 중심 교수모델(CoProC)을 적용한 과학 수업이 공업계열 특성화고 학생들의 인성 역량과 과학의 정의적 특성에 미치는 영향)

  • Kang, Sinae;Park, Jihun;Nam, Jeonghee
    • Journal of the Korean Chemical Society
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    • v.65 no.6
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    • pp.468-483
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    • 2021
  • The purpose of this research was to analyze the impact of Collaborative Problem solving for Character competency (CoProC) applied science classes on the character competence and scientific affective characteristics of vocational high school students. To achieve this, two junior classes of chemical industry majors in a vocational high school, were selected as the experimental group with 43 participants, and character competence test, scientific affective characteristic test, group discussion voice recordings, reflection activity sheets were analyzed. Based on the results of the study, the experimental group showed a statistically significant differences in value for the total character competence test score compared to the control group, and it had statistically significant differences in the nine lower character competence factors. Based on the results of the scientific affective characteristic test result, the experimental group was higher in total score to a statistically significant degree compared to the control group, and showed a statistically significant difference in seven of the lower factors, excluding consistency in interest. Therefore, science classes with CoProC applied were effective in cultivating the character competence and enhancing the scientific affective characteristics of vocational high school students.

Factors related to job expectations and career planning of nursing students (간호학생의 업무기대감과 진로계획의 영향요인)

  • Yeom, Hyun-E;Shin, Jee-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.546-554
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    • 2018
  • This cross-sectional correlational study investigated factors affecting career planning of nursing students, focusing on the associations between satisfaction of academic major, perceived professional competence, and job expectations. Data from 255 nursing students were collected through self-administered questionnaire surveys on 2016 January 4 and 7 and analyzed using descriptive statistics, Pearson's correlation coefficients, t-tests, bootstrapping SPSS macro and path analysis using AMOS. There were significant correlations between major satisfaction, professional competence, and job expectations. Both major satisfaction and professional competence were significant factors influencing job expectations, but their effects on job expectations were significantly different depending on whether there was a role-model, which support a moderating effect of having a role-model. Major satisfaction had a significant direct effect on career planning, but its indirect effect on career planning through job expectations was not significant. Professional competence did not have a significant direct effect on career planning, but its indirect effect on career planning through job expectations was significant. Overall, the results highlight the importance of providing educational support and opportunities for nursing students to explore their own motivation and to have a role-model during pursuit of a nursing career.

A Curriculum Study to Strengthen AI and Data Science Job Competency (AI·데이터 사이언스 분야 직무 역량 강화를 위한 커리큘럼 연구)

  • Kim, Hyo-Jung;Kim, Hee-Woong
    • Informatization Policy
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    • v.28 no.2
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    • pp.34-56
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    • 2021
  • According to the Fourth Industrial Revolution, demand for and interest in jobs in the field of AI and data science - such as artificial intelligence/data analysts - are increasing. In order to keep pace with this trend, and to supply human resources that can effectively perform such jobs in the relevant fields in a timely manner, job seekers must develop the competencies required by the companies, and universities must be in charge of training. However, it is difficult to devise appropriate response strategies at the level of job seekers, companies and universities, which are stakeholders in terms of supplying suitably competent personnel. Therefore, the purpose of this study is to determine which competencies are required in practice in order to cultivate and supply human talents equipped with the necessary job competencies, and to propose plans for the development of the required competencies at the university level. In order to identify the required competencies in the field of AI and data science, data on job postings on the LinkedIn site, the recruitment platform, were analyzed using text mining techniques. Then, research was conducted with the aim of devising and proposing concrete plans for competency development at the university level by comparing and verifying the results of the international graduate school curriculum in the field of AI and data science, and the interview results with the hiring managers, respectively, with the results of the topic model.

Analyzing Education Needs for the Development of Entrepreneurship of University Student (대학생의 창업역량 개발을 위한 교육요구 분석)

  • Lee, Ji An;Ahn, Young Sik
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.2
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    • pp.73-82
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    • 2019
  • As the importance of entrepreneurship education has increased, universities are conducting various programs related to entrepreneurship for university students. Despite these efforts, however, the demand for a competency-oriented entrepreneurship education program to realize the entrepreneurial idea is not fully reflected. Therefore this study is conducted to provide strategies for the development, management, and facilitation of the entrepreneurship education program of university through the analysis of difference between the level of importance and level of performance for the development of entrepreneurship of university student. Through the literature review, entrepreneurship is classified the step of confirming entrepreneurial intention, drawing up a start-up model, and planning a venture start-up. This study is analyzed through the t-test to identify difference between level of importance and level of performance with the 15 items of 7 competencies. This study is used Borich needs analysis and the Locus for Focus Model to know the priority of education needs for the development of entrepreneurship of university student. As the result of study, university students' entrepreneurial competences between level of importance and level of performance are shown significantly different among 15 items, the first priority is 6 items and the second priority is 2 items using Borich needs analysis and the Locus for Focus Model. Four competence clusters such as self-analytic competence, ability of eliciting entrepreneurial idea, ability of analyzing idea validity, and business-plan presentation competency are suggested with the combination of first and second priority competence. In order to develop each competence, ability of eliciting entrepreneurial idea and ability of analyzing idea validity are the key of education, self-analytic competence is needed to strengthen the intention of entrepreneurship, and business-plan presentation competence is cultivated as the ability of persuading investors to realize business ideas and is applied to business situation.

Pattern Analysis of Core Competency of CEO Using Fuzzy ID3 (퍼지 ID3를 이용한 CEO핵심역량의 패턴분석)

  • Park, Bong-Gyeong;Hwang, Seung-Gook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.2
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    • pp.273-278
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    • 2010
  • A few small and medium enterprise administer its organization systematically, but most of them is affected by ability and level of a CEO rather than organization system. In this viewpoint, it can be said the study on ability and level of CEO in small and medium enterprise are so meaningful. Thus, in this paper, the core competency of CEO is obtained from the CEO through questionnaire and it is suggested the evaluation model of the CEO core competency. Also patterns were analyzed by ID3 and fuzzy ID3 from data on expert appraise for CEO core competency and level. The 'if-then' fuzzy rules and decision tree created by results of pattern analysis showed their usefulness for evaluation of CEO core competency in small and medium enterprise.

The Domains of the Competencies of Trauma Nursing : A Scoping Review (외상간호 역량의 주요 영역 연구 : 범주 문헌고찰)

  • Kim, Young Hee;Choi, Mo Na;Kang, Hye Kyung
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.497-510
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    • 2019
  • This study was conducted to identify the domains of the competencies of trauma nursing through a scoping review using the JBI(Joanna Briggs Institute) methodology. The keywords are trauma, $nurs^*$, $competenc^*$, $role^*$, attitude, and knowledge and skill. The review used information from six databases: CINAHL, Pubmed, ProQuest, Web of Science, Scopus, and ERIC. Inclusion and exclusion criteria were identified as strategies to use in this review. 8 studies were eligible for result extraction, as they listed domains of the competencies. These domains among studies were analyzed based on Trauma Care System and Lenburg's COPA(Competency Outcomes and Performance Assessment) model. Domains in 'Prehospital care & transport', 'Hospital care' and 'Rehabilitation' of Trauma Care System were present, but no domain in 'Injury prevention' was.