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지각된 가치와 사회적 영향이 공유경제 이용의도에 미치는 영향: 사회적자본의 조절효과를 중심으로

  • Kim, So-Yeong;Park, Sang-Hyeok
    • 한국벤처창업학회:학술대회논문집
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    • 2019.04a
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    • pp.103-107
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    • 2019
  • 최근 에어비앤비나 우버와 같은 협력적 소비 기반의 비즈니스모델을 가진 공유경제가 성장하고 있다. 본 논문은 공유경제에 대한 개념을 정의하고, 이용의도에 미치는 영향을 분석하였다. 본 논문은 경제적, 기능적, 경험적, 사회적 가치를 포함한 4가지 지각된 가치와 주관적 규범, 이미지, 사회적 임계점을 구성하는 3가지 사회적 영향이 공유경제 이용의도에 미치는 영향을 알아보고 신뢰와 사회적 규범, 네트워크와 사회구조를 포함한 사회적자본의 조절효과에 관심을 두고 있다. 가설을 검증하고자 온라인과 오프라인에서 설문조사를 실시하였고, 지각된 가치와 사회적 영향이 공유경제 이용의도에 미치는 영향을 알아보고자 변수별로 다중회귀분석을 실시하였다. 또한 사회적자본의 조절효과를 알아보기 위하여 위계적인 회귀분석을 실시하였다. 다중회귀분석 결과는 다음과 같다. 지각된 가치 중 경제적, 경험적 가치는 공유경제 이용의도에 영향을 미치는 것으로 나타났다. 위계적인 회귀분석의 결과에서 사회적자본은 지각된 가치와 사회적 영향의 공유경제 이용의도 관계에 있어 조절적인 영향을 미치는 것으로 나타났다. 본 연구는 지각된 가치를 통합적 분석, 기존 공유경제 연구에서 자주 다뤄지지 않았던 사회적 영향과 사회적자본의 요인을 다룬 점에 의미가 있지만, 설문조사 결과의 한계가 있었기에 향후 새로운 연구 방향성을 제시할 수 있다.

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Development of Naïve-Bayes classification and multiple linear regression model to predict agricultural reservoir storage rate based on weather forecast data (기상예보자료 기반의 농업용저수지 저수율 전망을 위한 나이브 베이즈 분류 및 다중선형 회귀모형 개발)

  • Kim, Jin Uk;Jung, Chung Gil;Lee, Ji Wan;Kim, Seong Joon
    • Journal of Korea Water Resources Association
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    • v.51 no.10
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    • pp.839-852
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    • 2018
  • The purpose of this study is to predict monthly agricultural reservoir storage by developing weather data-based Multiple Linear Regression Model (MLRM) with precipitation, maximum temperature, minimum temperature, average temperature, and average wind speed. Using Naïve-Bayes classification, total 1,559 nationwide reservoirs were classified into 30 clusters based on geomorphological specification (effective storage volume, irrigation area, watershed area, latitude, longitude and frequency of drought). For each cluster, the monthly MLRM was derived using 13 years (2002~2014) meteorological data by KMA (Korea Meteorological Administration) and reservoir storage rate data by KRC (Korea Rural Community). The MLRM for reservoir storage rate showed the determination coefficient ($R^2$) of 0.76, Nash-Sutcliffe efficiency (NSE) of 0.73, and root mean square error (RMSE) of 8.33% respectively. The MLRM was evaluated for 2 years (2015~2016) using 3 months weather forecast data of GloSea5 (GS5) by KMA. The Reservoir Drought Index (RDI) that was represented by present and normal year reservoir storage rate showed that the ROC (Receiver Operating Characteristics) average hit rate was 0.80 using observed data and 0.73 using GS5 data in the MLRM. Using the results of this study, future reservoir storage rates can be predicted and used as decision-making data on stable future agricultural water supply.

Comparison of Multinomial Logit and Logistic Regression on Disability Pensioners' Characteristic (다범주 자료의 다항로짓 모형과 로지스틱 회귀모형 비교;장애연금 특성분석 중심으로)

  • Kim, Mi-Jung
    • The Korean Journal of Applied Statistics
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    • v.21 no.4
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    • pp.589-602
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    • 2008
  • This article studies on disability pensioners' characteristic with multinomial logit and logistic regression model. Seven factors are examined on whether each factor is reflected in degree of disability in the disability pension. By incorporating multinomial logit and logistic regression model, effectiveness and characteristic of the seven factors are investigated on the degree of disability. Result shows all the seven factors are significant on the degree of disability, while among the seven, five factors, age, sex, type of coverage, type of category, insured duration show a trend in degree of disability and the other two, cause of disability and class of standard monthly income are not effective on trend in degree of disability. Results from analyses might be useful for disability pension management.

Study on Estimation for Discharge Coefficient of Diagonal Weir (경사 위어의 유량계수 산정에 대한 연구)

  • Im, Jang-Hyuk;Jin, Sin-Wook;Song, Jai-Woo
    • Journal of Korea Water Resources Association
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    • v.42 no.5
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    • pp.375-383
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    • 2009
  • This study examined hydraulic characteristics on diagonal weirs with hydraulic experiment and presented a discharge coefficient equation utilizing multiple regression analysis for various design conditions. This study had a object in designing efficiently diagonal weirs utilizing this equation. Diagonal weirs maintained uniformly upstream water level than rectangular suppressed weirs. Also, as installation degrees of diagonal weirs increased, diagonal weirs increased maintenance effects of a upstream water level. Because of these characteristics, diagonal weirs were suitable to canal system. This study presented discharge coefficient equations for diagonal weirs utilizing simple regression analysis. But, these equations are some restrictions on degrees. Therefore, this study presented an equation to estimate directly discharge coefficients to various degrees utilizing multiple regression analysis. This equation was verified by making use of analyses of $R^2$, the sum of residuals, MAPE. Therefore, this equation is enable to make good use of a design in diagonal weirs.

Robust multiple imputation method for missings with boundary and outliers (한계와 이상치가 있는 결측치의 로버스트 다중대체 방법)

  • Park, Yousung;Oh, Do Young;Kwon, Tae Yeon
    • The Korean Journal of Applied Statistics
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    • v.32 no.6
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    • pp.889-898
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    • 2019
  • The problem of missing value imputation for variables in surveys that include item missing becomes complicated if outliers and logical boundary conditions between other survey items cannot be ignored. If there are outliers and boundaries in a variable including missing values, imputed values based on previous regression-based imputation methods are likely to be biased and not meet boundary conditions. In this paper, we approach these difficulties in imputation by combining various robust regression models and multiple imputation methods. Through a simulation study on various scenarios of outliers and boundaries, we find and discuss the optimal combination of robust regression and multiple imputation method.

Analysis of Factors and it's Effectiveness to Maintenance Cost of Public Buildings (공공청사의 운영비용에 영향을 미치는 요인과 요인별 영향력 분석)

  • Ko, Kyujin;Cho, Sangouk;Hwang, Jeongha;Lee, Chansik
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.2
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    • pp.29-37
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    • 2015
  • Multi-household buildings are efficiently maintained from the mid- and long-term viewpoint according to the long-term repair coverage system etc. On the other hand, public buildings are not systematically maintained due to a lack of past maintenance cost data and inefficient budget plans, among other problems. Targeting public buildings in Incheon, this study analyzed operation costs variables. To verify the analysis results, they underwent a correlation analysis and a multi-regression analysis. With regard to public buildings electricity, gas and tap water cost, the influence power of the served life, floor area, and workforce were analyzed, revealing that electricity cost was highly correlated with workforce, while gas and tap water cost were correlated with tap water cost. Also, the correlation analysis results were verified through a multi-regression analysis, and a maintenance cost estimation model was presented using a regression equation.

Estimation of Lower Heating Value (LHV) of Municipal Solid Waste (MSW) Being Brought into C Incinerator Using Multiple Regression Analysis (회귀분석을 이용한 C소각장에 반입되는 도시고형폐기물의 저위발열량 예측)

  • Kim, Eun-Young;Seo, Jeoung-Yoon
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.8
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    • pp.540-546
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    • 2013
  • The main purpose of the present study was to establish a quicker and cheaper model for predicting the LHV of MSW based on its wet physical composition being brought into C Incinerator. The one regression model was developed to correlate the energy content with variables from physical composition based on a wet matter. The performance of this model for MSW of the C Incinerator was superior to that of equations developed on a dry matter basis by other researchers for estimating energy content. The applicability of this model at the other 4 incinerators showed also an acceptable precision level.

The Relationship among Brand Equity, Corporate personality, Attachment and Consumer behavior (관광목적지의 브랜드자산, 자아일치성, 애착 및 행동의도간의 관계)

  • Seo, Kyung-Do;Lee, Jung-Eun
    • Journal of Digital Convergence
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    • v.11 no.10
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    • pp.313-320
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    • 2013
  • In this study of tourism destination brand equity and self-consistent interstellar significant attachment relationships and brand equity and behavioral intention was to determine the effect on the relationship. First, the tourism destination brand equity of the self-consistent sex tourists will have a significant impact is to test the hypothesis of a multiple regression analysis was conducted brand equity, loyalty, self image and gender matched only indicates the relationship was significant. Second, self Correspondence tourist destination tourists will have a significant effect on attachment. In order to verify the hypothesis that the multiple regression analysis was conducted for self-Correspondence attachment was significantly related shows. Third, the attachment of tourist destinations for travelers of action also will have a significant impact on. Hypotheses multiple regression analysis was conducted to attachment behavior also shows significant relationship was about.

Development of Asphalt Concrete Rutting Model by Triaxial Compression Test (삼축압축시험을 이용한 아스팔트 혼합물의 소성변형 파손모형 개발)

  • Lee, Kwan-Ho;Hyun, Seong-Cheol
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.1
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    • pp.57-64
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    • 2009
  • This study intends to evaluate of the characteristics of pavement deformation and develop the model for prediction model in the asphalt layer using a regression analysis. In test, there are two different asphalt binders and 5 different aggregate types. The air voids of hot mix asphalt are 6% and 10% for target value. Repeated triaxial compression test with 3 different confining pressures was used for test at 3 different test temperatures. It is going to verify the main parameters for permanent deformation of HMA and to develop the distress model. This paper is to figure out the factor affecting the pavement deformation, and then to develop model the pavement deformation for asphalt mixture. Also, the reliability of prediction model has been studied. The permanent deformation prediction model for asphalt mixtures with temperature, loading time, and air voids has been developed and the proposed permanent deformation prediction model has been validated by using the multiple regression approach which is called Statistical Package for the Social Sciences(SPSS).

An Analysis Study for Optimal Uptake of Nutrient Solution Based on Multiple Linear Regression Model in Strawberry Hydroponic Environments (딸기 수경 재배 환경에서의 다중 선형 회귀 모델 기반의 양액 적정 흡수량 분석 연구)

  • Lim, Jong-Hyun;Lee, Myeong-Bae;Cho, Hyun-Wook;Shin, Chang-Sun;Park, Chang-Woo;Cho, Yong-Yun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.578-580
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    • 2019
  • 우리 나라의 딸기 수경재배 면적은 2002년 5ha로 시작해서, 2007년에는 84ha, 2012년에는 317ha, 2017년에 1,575ha로 매년 30% 이상 급속하게 성장하고 있다. 이런 경향은 수경재배가 토양재배보다 작업이 용이하여 노동시간이 절약되며, 수량을 더 많이 생산할 수 있기 때문이다. 하지만, 공급양액을 배액으로 흘려버리는 비순환식 수경재배 방식이 증가 하면서 환경오염을 유발시킬 뿐만 아니라 수경재배 운영비용의 증가를 가져오고 있다. 본 논문은 작물 생장에 최적화된 양액공급을 위해 상관관계 분석 및 다중 선형 회귀 모델 기반의 딸기 수경재배 환경에서의 최적 양액 흡수량을 분석하고 추정해 보았다. 분석 결과, 수경재배 환경정보(일사량, 온도, 습도, CO2 등)를 대상으로 일사량 및 온도가 습도 및 CO2에 비해 딸기재배를 위한 양액 흡수량에 더 큰 영향을 주는 것으로 분석되었고, 다중 선형 회귀 모델을 통한 회귀식의 R-Square값은 0.358으로 나타났다.