• Title/Summary/Keyword: Influence Analysis

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The Influence of Efficient Container Terminals Using DEA and SNA (DEA와 SNA를 이용한 효율적인 컨테이너 터미널의 영향력에 관한 연구)

  • Son, Yong-Jung
    • Journal of Korea Port Economic Association
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    • v.31 no.3
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    • pp.155-166
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    • 2015
  • This study selected container terminals of Gwangyang and Busan Ports to evaluate the influence of efficient container terminals. For the study, after data envelopment analysis (DEA) using the CCR and BCC models, the decision-making unit (DMU) system was used to define nodes; and with the use of a reference group in DEA (BCC model) and a lambda value, this study created a social network and analyzed the influences of efficient DMUs through a centrality analysis of eigenvectors. The results are presented as follows: First, as a result of the DEA, CCR efficiencies in PNC, HJNC, and HPNT container terminals of Busan Port were 1 and BCC efficiencies at Singamman Terminal, Wooam Terminal, PNC, HJNC, HPNT, and BNCT container terminals of Busan Port were 1. Second, as a result of undertaking social network analysis (SNA), according to an eigenvector centrality analysis, HJNC Terminal was referred to the most (influence score of 0.515), which indicates that it is the most influential as a container terminal. The influence of PNC Terminal was 0.512, while that of Wooam Terminal was 0.379. CJ Korea Express in Gwangyang Port was ranked fourth in influence, but its influence score of 0.256 indicates that it was the most influential of the container terminals at Gwangyang Port.

The Influence of Purchasing Behavior on Brand Attitude, Shopping Satisfaction, and Recommendation of Herbal Cosmetics Consumer (한방화장품 소비자의 구매행동이 브랜드태도, 쇼핑만족 및 추천의도에 미치는 영향)

  • Lee, Jung-Mi;An, Joun-Suk
    • Journal of Fashion Business
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    • v.15 no.1
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    • pp.129-144
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    • 2011
  • The purpose of this study was to investigate the influence of purchasing behavior on brand attitude, shopping satisfaction, and recommendation of herbal cosmetics consumer. Through judgment sampling method, selected 304 survey questionnaires were used for final analysis from herbal cosmetics consumer. With the collected data, t-test, one-way ANOVA, and multiple regression analysis were performed by SPSS 14.0. The results of the analysis were summarized as follows. First, level of education no significant difference on purchasing behavior, but age, marital status, average income, and job type showed significant difference on purchasing behavior. Second, level of education and average income no significant difference on brand attitude, shopping satisfaction, and recommendation, but age, marital status, and job type showed significant difference on brand attitude, shopping satisfaction, and recommendation. Third, the reasonable purchase, conformity purchase, and conspicuous purchase impacts positively(+) influence, but impulse purchase impacts negatively(+) influence on brand attitude. Fourth, the rational purchase and conspicuous purchase impacts positively(+) influence on shopping satisfaction. Fifth, the conformity purchase and conspicuous purchase impacts positively(+) influence on recommendation.

An Analysis on the Accident Influence Factor and Severity of Construction General Workers (건설 보통인부의 안전재해 영향요인 및 재해강도 분석)

  • Shin, Won-Sang;Son, Chang-Baek
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.3
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    • pp.69-76
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    • 2018
  • General workers who assist various technicians in different fields with their work across the whole construction sites without having a particular skill are at risk of the highest accident rate and their accident form becomes varied. Accordingly, this study was conducted to identify the relationship between form of safety accident and influence factor in general workers and analyze accident severity by influence factor. The followings are the results from this study. First, as a result of analyzing major form of accident and influence factors in general workers with network analysis methodology, nine forms of accident and seventeen influence factors were drawn. Second, it was found that in accident severity among general workers, collapsing, among various forms of accident, appeared the highest, followed by fall, electric shock, fire, hit by an object, bumped against, trip, scission getting cut chopped in order. Third, main points of special, concentrated, and permanent management were presented in order to reduce the safety accident in general workers effectively.

A Structural Study on Social Self-Efficacy, Appearance Concern, Body Cathexis, Appearance Management Behavior (사회적 자기효능감, 외모관심, 외모만족, 외모관리행동에 관한 계층적 연구)

  • Lee, Hyun-Ok;Ku, Yang-Suk
    • Fashion & Textile Research Journal
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    • v.11 no.2
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    • pp.271-277
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    • 2009
  • The purpose of this study was to examine the relationships among influence of Social Self-Efficacy, Appearance Concern, Body Cathexis, Appearance Management Behavior. The subjects of this study were 709 women aged for 20 to 50 living in Daegu. The questionnaires were conveniently sampled from December 20 to 31, 2007. The SPSS 14.0 package was use for data analysis which included Frequency analysis, Factor analysis, Cronbach's a and Analysis Structural Equation Modeling by utilizing of Amos 5.0. The results of this study were as follows; First, the social self-efficacy showed a positive influence on both appearance concern and the body cathexis. And the social self-efficacy had a negative influence on appearance management behavior. Second, appearance concern showed a positive influence on appearance management behavior, but there was not a significant relationship between appearance concern and body cathexis. Third body cathexis showed a positive influence on appearance management behavior.

The Influence of Salespersons Attributes on Relationship Commitment between College Students and Salespersons and Their Performance (판매원 속성이 남녀 대학생과 판매원간 관계몰입과 성과에 미치는 영향)

  • Hong, Kyung-Hee;Lee, Yoon-Jung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.1
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    • pp.33-44
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    • 2009
  • This study is a survey of college students who have been exposed to a variety of clothing consumption environments such as online transactions through the Internet, with the purpose of examining the influence of salespersons attributes on college students' relationship commitment and perception of salespersons performance. The study conducted a questionnaire survey on 464 male and female students and used SPSS 12.0 for statistical data analyses such as mean, standard deviation, frequency analysis, reliability analysis, factor analysis, and multiple regression analysis. The results of this study can be summarized as follows: First, salespersons attributes such as appearance, expertise, customer orientation, and customer management fumed out as the factors that influence the satisfaction under relationship commitment at statistically significant levels. Likeability, customer orientation, and customer management were found to have statistically significant influence on perceived reliability of salespersons. Second, with respect to the influence of relationship commitment on customer performance, statistically significant factors included satisfaction and reliability. Customer orientation is considered most important by both male and female students among the salespersons attributes, followed in order by expertise, customer management, appearance, ethic and similarity. Likeability was found to be the least important attribute.

A Study on Image Management Behavior according to Self-monitoring, Self-objectification of Profile-based SNS Users (프로필 기반 SNS 사용자의 자기모니터링, 자기대상화 성향에 따른 이미지관리행동 연구)

  • Lee, Hyun-Ok
    • Fashion & Textile Research Journal
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    • v.24 no.2
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    • pp.195-205
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    • 2022
  • This study examines the image management behavior according to self-monitoring, self-objectification of profile-based SNS users. Questionnaires were administered to 313 SNS users including both men and women in their 20s to 30s. The SPSS 25.0 package was utilized for data analysis, which included frequency analysis, factor analysis, Cronbach's ?, t-test, and regression analysis. The study analyzed self-monitoring in 2 groups (high, low), self-objectification for 2 factors (body surveillance, body shame), and image management behavior for 5 factors (fashion oriented, instrumentality, conformity, ostentation, interpersonal disposition). The results revealed: first, self-monitoring groups exhibited significant differences in self-objectification. The higher self-monitoring group was more influenced by body surveillance and body shame compared to the low self-monitoring group. Second, self-objectification had a positive influence on all the factors of image management behavior. Especially, body surveillance demonstrated a high influence on instrumentality and body shame showed a high influence on ostentation. Third, the self-monitoring groups showed significant differences in all the factors of image management behavior. The higher self-monitoring group demonstrated more influence of image management behavior compared to the low self-monitoring group. These results provide useful information in understanding the influence of social media on users' psychological attitude and consciousness toward their body and image management behavior.

Labor Productivity Model for Reinforced Concrete Construction Projects

  • Ho Myun Jang;Kyong Hoon Kim;Sang Hyeon Kim;Kyung Hwan Kim;Jae Jun Kim
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.983-989
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    • 2009
  • This study aims to systematically identify direct and indirect factors that influence labor productivity and to build a model that mathematically quantifies them so as to efficiently manage and increase labor productivity in the construction work. This study was performed based on the productivity model for workers in reinforced concrete construction projects, because it aims to establish a general construction labor productivity model that reflects many factors that influence labor productivity. Using statistical analysis, we found that the components that significantly influence productivity were the worker component, the work characteristic component, the work technique component, the work management component, the equipment & materials component, and the work guide component, while the work delay components did not significantly influence productivity. In addition, a priority analysis was performed based on the components that showed statistically significant effects. The results of the analysis indicated that the influence of work management component and the work technique component is more than that of the worker component and the work characteristic component. The construction labor productivity model that was formulated in this study could be used for the determining the standard productivity during the initial planning stage, so the best strategy for increasing labor productivity could be formulated.

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LOCAL INFLUENCE ANALYSIS OF THE PROPORTIONAL COVARIANCE MATRICES MODEL

  • Kim, Myung-Geun;Jung, Kang-Mo
    • Journal of the Korean Statistical Society
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    • v.33 no.2
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    • pp.233-244
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    • 2004
  • The influence of observations is investigated in fitting proportional covariance matrices model. Local influence measures are obtained when all parameters or subsets of the parameters are of interest. We will also derive the local influence measure for investigating the influence of observations in testing the proportionality of covariance matrices. A numerical example is given for illustration.

Local Influence Analysis of the Equicorrelation Model

  • Kim, Myung-Geun;Jung, Kang-Mo
    • Journal of the Korean Statistical Society
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    • v.31 no.4
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    • pp.447-458
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    • 2002
  • The influence of observations in the equicorrelation model is investigated using the local influence approach when all parameters or subsets of parameters are of interest. When a parameter of interest is scalar, an analytical form of the local influence measure can be found. We will derive a measure for identifying observations that have a large influence on the test of fitting the equicorrelation model. An example is given for illustration.