• 제목/요약/키워드: BIG five

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갈등관리스타일에 영향을 미치는 퍼스낼리티 요인: 성격 5요인(Big Five Factors), 자아존중감, 자기감시를 중심으로 (The Effects of Adolescent's Big-Five Personality Factors, Self-Esteem and Self-Monitoring on Their Conflict Resolution Management Style)

  • 장해순;한주리;허경호
    • 한국언론정보학보
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    • 제37권
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    • pp.418-451
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    • 2007
  • 본 연구는 청소년기의 고등학생들을 대상으로 이들의 갈등관리유형을 또래간의 관계를 중심으로 파악하고, 이같은 갈등유형이 성격 5요인, 자아존중감, 및 자기감시와 어떤 관계가 있는지 살펴보았다. 먼저 성격 5요인이 갈등관리스타일에 어떠한 영향을 미치는가를 살펴 본 결과 친화성, 성실성, 외향성, 개방성이 높을수록 협력전락을 더 많이 사용하는 것으로 나타났다. 반면 신경불안증이 높고, 친화성과 외향성이 낮을수록 공격전략을 더 많이 구사하는 것으로 드러났다. 성실성, 외향성, 개방성이 낮고 신경불안증이 높을수록 회피전략을 더 많이 사용하는 것으로 밝혀졌다. 또한 자아존중감과 자기감시가 청소년의 갈등관리스타일에 어떠한 영향을 미치는가를 살펴본 결과 자아존중감이 높을수록 협력전략을 더 많이 사용하는 반면 공격전략과 회피전략은 더 적게 표출하는 것으로 나타났다. 자기감시 정도가 높을수록 갈등상황에서 협력전략을 더 많이 사용하는 반면 회피전략은 더 적게 행사하는 것으로 분석되었다.

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기술, 조직, 환경 관점에서 기업의 경영품질 향상을 위한 빅데이터 활용의 핵심요인에 관한 연구 (The Key Factors of Big Data Utilization for Improvement of Management Quality of Companies in terms of Technology, Organization and Environment)

  • 신수행;이상준
    • 한국IT서비스학회지
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    • 제18권1호
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    • pp.91-112
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    • 2019
  • The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

A Study on the Research of Big Five Personality Factors Affecting Creativity - The Case of K Institute -

  • Lee, Kil-Whoan;Song, Ha-Sik;Park, Jin-Hee
    • International Journal of Contents
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    • 제6권3호
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    • pp.38-46
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    • 2010
  • In this study, five personality types of employees have any impact on their creativity, a systematic and comprehensive study of literary research and demonstration studies were parallel. Results of the research employee of the extroversion, agreeableness of their creativity (+) showed the impact. In addition, sincerity, openness to experience, personality and creativity of employee creativity (+) for influencing said. Neuroticism to creativity, but nature does not affect any found. This study, five personality types that affect employee creativity of individuals by examining the relationship between personality type and creativity by presenting a model for the study, employees' personality types can have on creativity and offers a realistic alternative to the theory presented you can find the meaning in that. These theoretical and empirical validation of the results of employee productivity oriented organizations, including human resource management in a systematic and reasonable for the type of personality tests are being conducted on the administrative feasibility is expected to be able to provide. Finally, based on the results of these studies, management and administrative implications and future research directions presented.

Big 5 성격요인에 따른 청소년 성격특성의 발달적 변화 (Developmental Changes of Adolescent's Big Five Personality Factors)

  • 장은지;최은실
    • 한국콘텐츠학회논문지
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    • 제17권10호
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    • pp.307-321
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    • 2017
  • 본 연구는 중 고등학교 학생 2,260명을 대상으로 Big 5 성격요인에 따른 청소년 성격특성에 발달적 변화가 있는지 알아보고자 한다. 성별과 학년에 따라 성격 5요인의 발달적 변화에 차이를 보이는지 확인하였고, 더불어 신경증 하위요인을 추가적으로 분석함으로써 청소년기 문제행동 시기와 특성을 확인 하였다. 분석에는 일원배치변량분석(One-way ANOVA)을 사용하였으며 유의미한 차이가 난 경우 사후검증을 실시하였다. 연구 결과를 요약하면 다음과 같다. 첫째, 청소년의 성격 5요인 특성이 성별에 따라 차이가 있는 것으로 나타났다. 개방성, 성실성, 외향성은 여자가 남자보다 높게 나타났고, 신경증은 남자가 여자보다 높게 나타났다. 둘째, 청소년의 성격 5요인 특성 모두에서 학년에 따라 차이가 있는 것으로 나타났다. 셋째, 청소년기 성격특성에 대한 성별에 따른 학년별 발달적 경향성에서도 성별 간 다른 양상을 보이는 것으로 나타났다. 특히 성별과 학년에 따른 분석에서 남자는 중등 2학년, 여자는 고등 3학년에서 성격특성이 두드러질 것으로 나타났다. 그리고 신경증과 관련된 외현화 행동문제는 중등 1 2학년에서 내현화 행동문제는 고등 3학년에서 주로 발현될 것으로 나타났다. 따라서 본 연구에서는 현재 우리나라 청소년 성격특성의 발달적 변화를 확인할 수 있었으며, 또한 성별과 학년에 따라 상이한 정신건강문제가 발현 될 수 있는 것으로 나타났다.

개더 조건에 따른 개더 효과에 관한 연구 (A Study on the Effect of Gathering made by Gathering Conditions)

  • 이명희;정희경
    • 한국의류학회지
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    • 제28권6호
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    • pp.776-783
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    • 2004
  • The purpose of this study was to identify the reasonable gathering conditions as consider of effect of gathering and variation of silhouette made by gathering conditions. The experimental design consists of four factorial design: (1) three kinds of different weight and different thickness fabrics (2) three kinds of different stitch densities (3) five kinds of different ratio of gathers (4) three kinds of different angles. Therefore one hundred thirty five (135) samples were made. Data analysis utilize SPSS WIN 10.0 Package. The results of this study were as follows: 1. In the aspect of fabrics, it is shown the visual propriety that it is as thin as the small stitch, and as thick as the big stitch. 2. As stitch densities, it shows the different stabilized nodes. 3. In the aspect of ratio of gathers, it is shown the visual propriety that a few was small stitches, which help formations of nodes, and a lot were big stitches, which help increased the effect of gather. 4. In the aspect of angle of bias, the drape appearance was excellent as a sample of cutting by 0 angle(0$^{\circ}$) of bias. The big stitches that help formations of stabilized nodes, and a case of cutting by 45 angle(45$^{\circ}$) of bias was small stitch.

A Study on the Sentiment Analysis of City Tour Using Big Data

  • Se-won Jeon;Gi-Hwan Ryu
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권2호
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    • pp.112-117
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    • 2023
  • This study aims to find out what tourists' interests and perceptions are like through online big data. Big data for a total of five years from 2018 to 2022 were collected using the Textom program. Sentiment analysis was performed with the collected data. Sentiment analysis expresses the necessity and emotions of city tours in online reviews written by tourists using city tours. The purpose of this study is to extract and analyze keywords representing satisfaction. The sentiment analysis program provided by the big data analysis platform "TEXTOM" was used to study positives and negatives based on sentiment analysis of tourists' online reviews. Sentiment analysis was conducted by collecting reviews related to the city tour. The degree of positive and negative emotions for the city tour was investigated and what emotional words were analyzed for each item. As a result of big data sentiment analysis to examine the emotions and sentiments of tourists about the city tour, 93.8% positive and 6.2% negative, indicating that more than half of the tourists are positively aware. This paper collects tourists' opinions based on the analyzed sentiment analysis, understands the quality characteristics of city tours based on the analysis using the collected data, and sentiment analysis provides important information to the city tour platform for each region.

A new model and testing verification for evaluating the carbon efficiency of server

  • Liang Guo;Yue Wang;Yixing Zhang;Caihong Zhou;Kexin Xu;Shaopeng Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2682-2700
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    • 2023
  • To cope with the risks of climate change and promote the realization of carbon peaking and carbon neutrality, this paper first comprehensively considers the policy background, technical trends and carbon reduction paths of energy conservation and emission reduction in data center server industry. Second, we propose a computing power carbon efficiency of data center server, and constructs the carbon emission per performance of server (CEPS) model. According to the model, this paper selects the mainstream data center servers for testing. The result shows that with the improvement of server performance, the total carbon emissions are rising. However, the speed of performance improvement is faster than that of carbon emission, hence the relative carbon emission per unit computing power shows a continuous decreasing trend. Moreover, there are some differences between different products, and it is calculated that the carbon emission per unit performance is 20-60KG when the service life of the server is five years.

직무성과에 대한 인지적 및 비인지적 능력의 영향: 대학생의 학업성과를 중심으로

  • 서윤희;신호철
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 2010년도 춘계학술대회
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    • pp.447-447
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    • 2010
  • 조직이나 기업에서 높은 수준의 직무 성과는 뛰어난 지적 능력과 더불어 다른 요소들의 영향에 의해 결정된다고 광범위하게 인식되고 있다. 따라서 인사선발시 인지적인 능력뿐만이 아니라 성격과 같은 비인지적 능력을 평가하는 시도가 활발히 이루어지고 있다. 본 연구는 이를 실증적으로 검증하고자 수행되었다. 즉, 본 연구에서는 서울지역에서 재학 중인 대학생 (n=260) 을 대상으로 하여 인지적 능력은 입학성적으로, 비인적 능력은 Big Five 성격 특성으로, 직무성과는 학업성과(예, 학업평점, 대학 및 학과에 대한 만족도, 동아리 활동, 등) 로 각각 측정하여 이들의 관계성을 살펴보았다. 연구 결과, 인지적 능력과 더불어 Big Five 성격 특성 중 성실성과 개방성이 다양한 학업성과와 상관관계를 보여주었다. 본 연구는 추가적으로, 학업성과 중 동아리 활동이 대학생활의 만족도와 상관관계가 있음을 보여주고 있다. 이러한 결과는 인사선발 과정에서 지원자의 잠재적 직무성과를 예측할 때 지적 능력 같은 인지적 측면뿐만이 아니라 성격과 같은 비인지적 측면을 동시에 고려해야 한다는 실무적 시사점을 제시하고 있다.

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Linking the Big Five Model of Personality to Knowledge Sharing Intention

  • Hau, Yong Sauk
    • Asia pacific journal of information systems
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    • 제24권3호
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    • pp.281-297
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    • 2014
  • This study aims at empirically analyzing the relation between employees' personality and their knowledge sharing intentions, on which enough light has not yet been shed in spite of its importance. By integrating the big five model of personality with social capital theory and social cognitive theory, this study develops six hypotheses concerning the relation and empirically tests them by using 724 samples collected from employees in practice. The empirical analysis results from this study reveal that employees' extroversion and agreeableness are positively associated with their social relations and that their openness to experience and conscientiousness are positively associated with their knowledge self-efficacy, which are positively related to their knowledge sharing intentions. Based on the new findings, theoretical and practical implications are provided for knowledge management researchers and managers in practice.

외식 산업 종사자의 성격 특성과 직업 선호도와의 관계 (The Relationship between Personality Traits and Job Preference in Foodservice Industry)

  • 김두라;강재호
    • 한국조리학회지
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    • 제13권4호
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    • pp.67-79
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    • 2007
  • This study verified the relationship between the personality traits and the job preference in the foodservice industry. Questionnaire was held with targeting to the persons who engage in the foodservice industry, especially restaurants located in Seoul and Gyeonggi Province. Factor analysis, regression analysis, t-analysis and dispersion analysis were carried out as the methodology of this study to analyze the relation with the Big Five Theory of Personality, which includes agreeableness, conscientiousness, extraversion, openness to experience, and neuroticism and job preference. As a result, conscientiousness, openness to experience and neuroticism were founded as the meaningful factors of effect on the job preference. In order to promote the job preference in the foodservice industry, engagement of employees who have suitable personality traits should be considered as an important issue in result of this study.

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