• Korean Journal of Construction Engineering and Management
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• v.12 no.5
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• pp.127-136
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• 2011

The purpose of this study is analyzed the importance ratio factors of sales price for apartment building construction projects. For this Study, Nine apartment buildings that sold in Seoul, Gyenggi, Chuncheong is selected. The study suggested eight influence factors through interview with experts, research related references, and analysis of cases. Based on those factors, Importance analysis is performed by using AHP method. The result of this study are as follows: 1) Influence factors of sales price are drawn as cost, site, housing, transportation, region, ground, policy, investment factor. 2) In the case of Seoul, The priority order of price influence factors consist of investment factor(16.0%), policy factor(14.6%), and cost factor(13.9%). In the case of Gyenggi, The priority order of sales price influence factors consist of region factor(15.9%), transportation factor(13.8%), and investment factor(13.4%). In the case of Chungcheong, The priority order of sales price influence factors consist of region factor(17.1%), transportation factor(16.4%), and housing factor(14.9%).

• Journal of the Korea Institute of Building Construction
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• v.21 no.5
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• pp.495-506
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• 2021

A Conceptual cost estimate, which is computed in the preliminary step of a project, is important for decision-making by a contractor in terms of the project budget, economic feasibility and validity analysis, and alternative comparisons. Therefore, a high error rate of a prediction model for a conceptual cost estimate can lead to various problems including excessive project expenditures and a delayed break-even point. this study proposed optimal impact factors by configuring quantitative impact factors computable in a preliminary step in various cases(combinations of impact factors). subsequently, the accuracy of different cases was comparatively analyzed by using the cases as input values of a prediction model using regression analysis. when the optimal combination of impact factors proposed in this study and other combination of impact factors were applied to the prediction model, the regression analysis-based prediction model exhibited 0.2-4.7% improvements in accuracy, respectively. the optimal combination of impact factors proposed in this study improved the accuracy of the prediction model of a conceptual cost estimate by removing unnecessary impact factor.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.55-70
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• 2020

This study aims to identify the influence of risk-inducing factors and safety inspection on the measures of reducing accidents among workers of building structures in small construction sites. The result can be summarized as follows: First, as for the influence of risk-inducing factors on human factors, preparation for work, disintegrating molds, taking follow-up measures, and keeping records, have statistically significant influences. Therefore, it can be said that safety inspection has a partial mediating effect in the relationship between risk-inducing factors and human factors. Second, as for the influence of risk-inducing factors on facility factors, preparation for work, and taking follow-up measures influenced significantly. This indicates that safety inspection has a partial mediating effect in the relationship between risk-inducing factors and facility factors. Third, as for the influence of risk-inducing factors on management factors, the installation of shores and risk assessment are found to have significant effects. This shows that safety inspection has a partial mediating effect in the relationship between risk-inducing factors and management factors. Fourth, the influence of risk-inducing factors on work factors was significant only in the installation of shores. This indicates that safety inspection has a completely mediating effect in the relationship between risk-inducing factors and work factors. Finally, in the relationship between risk-inducing factors and accident reduction measures, preparation for work, installation of shores, and taking follow-up measures showed significantly positive influences. In contrast, keeping records has a significant negative influence. Thus, safety inspection has a partial mediating effect in the relationship between risk-inducing factors and management factors.

• The Journal of the Korea Contents Association
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• v.6 no.2
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• pp.127-135
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• 2006

The object of this study is to improve the police administration service and the work performance of police officers, through the analytic ground to increase job satisfaction and to solve the role conflict by setting the role conflict as a main factor among many factors to influence the job satisfaction between the role conflict and the job satisfaction of police officers and explaining the factors of the role conflict.

• Journal of Service Research and Studies
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• v.6 no.1
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• pp.17-28
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• 2016

This study deduced an effect produced on organizational commitment of ICT Industrial workers through precedent study. And the importance of each factor was analyzed, regarding the deduced influencing factors. And influencing factors on organizational commitment of ICT Industrial workers were presented at a practical level on the basis of analysis results. According to the results of analysis, social support factors were interpreted as the most important influencing factor among the 1st hierarchical factors. According to the results of analysis after setting 12 factors for the 2nd hierarchical factor, 3 factors including emotional support, Informational support, and Substance/instrumental support, were interpreted as very important factors. However, psychological empowerment was analyzed to a relatively less critical.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.394-396
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• 2005

지식경영시스템(Knowledge Management System)이 활성화되기 위해서는 지식경영 활동의 핵심영향요인들을 고려하여야 한다. 그러나 수많은 지식경영시스템이 정보기술 측면만을 고려하여 단순정보를 관리하는 정보관리시스템으로 전락하고 있는 실정이다. 따라서 기업의 성공적인 지식경영을 위하여 지식경영에 영향을 미치는 영향요인을 도출하고, 각 영향요인이 지식경영시스템의 활성화에 영향을 주는지에 대한 수치화가 필요하다. 이에 본 논문에서는 지식경영시스템 도입 시 고려해야 할 영향요인을 도출하고 각 영향요인별 필요도(Importance)와 이행도(Performance)로 수치화하였다. 또한 각 영향요인을 고려하여 구축된 지식 경영시스템의 사례를 통하여 지식경영시스템의 구축효과에 대한 결과를 측정하고 효과에 대해 검증한다.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.92-100
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• 2008

Productivity is acknowledged as a very important factor for successful construction projects. Various data items collected daily form a construction site can be used for monitoring its productivity by analyzing them. However, no analytical methods for that purpose have been established in the domestic construction industry yet. Previous researches that utilized OLAP and data mining to analyze the factors that affect the productivity did not do well with predicting future cases with sufficient reliability. This research therefore proposes a new analytical process which is capable of figuring out the factors that would affect the productivity of future projects, through qualitative and quantitative analysis of the data collected from past projects.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.479-479
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• 2017

본 연구는 벤처기업의 매출액의 영향요인에 대하여 기업 내 자원을 범주화하여 그 영향력을 검증하고, 나아가 기업이 보유한 역량을 2개의 차원으로 구분하여 각 차원에 따른 집단 간 벤처기업성과 영향요인의 차이를 확인하고자 하였다. 즉, 기업이 보유하는 역량인 기술, 가격, 품질, 디자인, 조직관리, 마케팅 경쟁력에 대하여 요인분석을 통해 기술역량과 경영역량 차원을 도출하였고, 군집화 과정을 거쳐 각 역량 수준에 따른 네 개의 벤처기업 집단을 분류하였다. 네 개의 집단은 기술-경영 우위, 기술주도, 경영주도, 기술-경영 열위로 나뉘었다. 이후 성과 영향요인들을 자원기반이론의 관점에서 기업현황, 기업가자원, 인적자원, 재무자원, 기술자원, 외부자원의 여섯 개의 상위 범주로 구분하였고, 각 범주에 포함되는 세부 요인들이 매출액에 미치는 영향을 '벤처기업정밀실태조사'의 2개년 데이터를 활용하여 분석하였다. 분석 결과 첫 번째, 전체 벤처기업을 대상으로 분석한 결과 모형에 투입된 33개의 변수들 중 22개의 변수가 벤처기업 매출액에 유의한 영향을 미치는 것이 확인되었다. 두 번째, 기업 역량 차원 분류에 따른 기업 집단 간 영향요인 차이를 분석한 결과, 매출액 영향요인은 입력된 33개의 독립변수 중 최대 13개에서 최소 8개로, 기업 역량 차원에 따른 매출액 영향요인의 차이가 확인되었다.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.1-13
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• 2015

This study deduced an effect produced on the export performance of ICT company through precedent study. And the importance of each factor was analyzed, regarding the deduced influencing factors. And influencing factors in the export performance of ICT export companies were presented at a practical level on the basis of analysis results. According to the results of analysis, with regard to the influencing factor in the export performance of ICT company, companies' factors were interpreted as the most important influencing factor among the 1st hierarchical factors. According to the results of analysis after setting 12 factors for the 2nd hierarchical factor, 4 factors including export experience, CEO's market orientation, marketing strategy, and export market attractiveness were interpreted as very important factors. Therefore, it was possible to find that, with regard to the influencing factor in the export performance of ICT company, above all, enterprise internal factors- i.e., companies' factors, marketing factors- were more important influencing factors.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.325-338
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• 2015

The purpose of this study is to analyze service factors, particularly physical environment factor, that influence consumer satisfaction, and to identify how coffee consumption behavior is affected in relation to an increase in consumer satisfaction. For the study, factor and regression analyses were employed. As a result, five factors were derived relating to physical environment, while four factors impacted on consumer satisfaction. In addition, the three factors extracted from consumption behavior were influenced by consumer satisfaction. Additional discussion and implications for future study were provided.