• 제목/요약/키워드: Logistics Regression Analysis

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국내 지역별 도로운송네트워크가 지역경제에 미치는 영향: SNA 및 공간패널회귀모형의 적용 (A Study on Road Transport Network And Economy effect in Korea: Application of SNA and Spatial Panel Regression)

  • 오진호;안재선;오진
    • 무역학회지
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    • 제47권2호
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    • pp.175-193
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    • 2022
  • This study analyzes the effects of road transportation networks on the local economy in korea. The analysis methods are SNA and spatial panel regression model. The subjects of this study are inland areas of Korea, and the research period is from 2010 to 2019. The network analysis showed that the connection centrality of Gyeongg-do was high internally and externally. Gyeonggi-do has played a central role in the domestic road freight transportation industry. The results of spatial panel regression analysis showed that there was economic competition between regions. Domestic road transportation industry has been competitive among regions and has economic ripple effect. And Internal cargo has been shown to boost the economy of the region. But internal cargo has been shown to lower the economy of surrounding regions, but external cargo has been shown to increase the economy. In order to revitalize the local economy, it is necessary to increase road cargo.

How do Korean Respond to Japanese Retailers?

  • CHO, Young-Sang;CHUNG, Ji-Bok;SHIM, Hye-Eun
    • 유통과학연구
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    • 제19권10호
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    • pp.87-97
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    • 2021
  • Purpose: Compared with the past when Japanese retailers used to hesitate to open their shops in the Korean market, because of anti-Japan sentiment, they show confidence in Korea in recent. This study, thus, aims at examining how socio-demographic factors have an impact on customer attitudes towards a Japanese retailer as a shopping destination. Research design, data, and methodology: After the literature review process, the authors have developed a variety of questions to verify the relationship amongst the variables like nationalism, consumer ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. Furthermore, after collected questionnaires, the authors used confirmative factor analysis (CFA), T test and linear regression analysis to verify the 25 hypotheses developed. Results: Except for a household size element, it is found that gender, age, education and income levels are related to the degree of nationalism, ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. In other words, socio-economic elements influenced Korean customer attitudes towards Japanese retailers. Conclusions: Korean customers tend to show different shopping attitudes towards the Japanese retailers, depending on the characteristics of socio-demographic elements. Furthermore, changing socio-demographic factors will provide positive business opportunities for Japanese retailers in the future.

포아송 회귀분석을 이용한 해운선사의 블랭크 세일링 영향 분석 연구 (A study on the impact analysis of blank sailing in the shipping industry using poisson regression analysis)

  • 류원형;최봉근;김정훈;박신우;남형식
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2023년도 추계학술대회
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    • pp.120-121
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    • 2023
  • 최근에 해운산업의 수요와 공급이 지속적으로 일치하지 않으면서 불균형 현상이 이어지고 있다. 이에 따라 해운선사들은 선박의 공급량을 조절하기 위해 블랭크 세일링을 실시하며 수요와 공급의 균형을 맞추고 있다. 블랭크 세일링은 화물 운송을 지연시키는 부정적인 연쇄효과를 발생시키기 때문에 본 연구에서는 포아송 회귀분석을 이용하여

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컨테이너항의 입항부터 출항까지의 서비스품질 척도 개발 (Development of Scale for the Service Quality from Entry to Departure of Container Ports)

  • 신창훈;최민승;양윤옥
    • 한국항해항만학회지
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    • 제34권5호
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    • pp.389-395
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    • 2010
  • 최근 컨테이너항만은 서비스 차별화 전략을 통한 경쟁력 확보의 중요성이 커지고 있다. 서비스 차별화 전략은 기본적으로 고객의 요구사항에 대한 객관적인 평가가 필요하다. 이를 위해서 서비스의 품질을 측정할 수 있는 척도 및 방법을 개발하여야 한다. 본 연구에서는 부산항에 기항하는 주요 컨테이너 선사를 대상으로 연구를 수행하였다. 이에 따라, 선사가 컨테이너항만에 입항하여 출항하기까지 제공되는 서비스에 관한 측정항목을 도출하였다. 조사자료를 기반으로 탐색적 요인분석, 신뢰성 분석, 타당성 분석 등 개발된 정제과정을 통해 평가척도를 제시한다. 제시된 평가척도는 고객만족 및 기항의도와 높은 관련성을 보여주고 있으며, 향후 경영전략 수립에 유용할 것으로 기대된다.

내부마케팅이 직무만족, 애호도, 기업성과에 미치는 영향 : 로지스틱회귀분석 방법을 이용 (Internal Marketing Approach to Internal Satisfaction, Loyalty and Organization Performance : Using Logistics Regression)

  • 손희영;강만수;박상규
    • 한국경영과학회지
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    • 제39권3호
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    • pp.117-131
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    • 2014
  • As interests in the management of government-owned corporation rise, in these days, debt reduction and normalization of management of those companies have been proceeding under the lead of government. At this point, it is very important to seek internal marketing method for improvement of internal employees' satisfaction, loyalty and organization performance. This study analyzes impact of factors of internal marketing effect on organization satisfaction, loyalty and organization performance in the context of the domestic public companies, the Korea Electric Power Corporation (KEPCO) and the Korea Water Resources Corporation (K-WATER)'s employees empirically. There are some significant differences between the two publics. It is proved that delegation of the authority influences on internal satisfaction and organization performance in the case of KEPCO, and education and training influence on internal satisfaction and organization performance in the case of K-WATER. On the other hand, in the case of K-WATER, any internal marketing factors don't influence on loyalty. The results of this study show somewhat different characteristics depending on the characteristics of firm, however, it is expected that this study can be very useful in regards to similar public enterprises or businesses.

Statistical Approach for the Prediction of Improper Businessman in Defense Procurement

  • Han, Hongkyu;Choi, Seokcheol
    • 시스템엔지니어링학술지
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    • 제7권2호
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    • pp.21-30
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    • 2011
  • The contractor management for the effective defense project is essential factor in the modern defense acquisition project. The occurrence of Improper Businessman causes the reason in which defense acquisition project is unable to be reasonably fulfilled and setback to the deployment of defense weapon system. In this paper, we develop a prediction model for the effective defense project by using the Discriminant Analysis, the Logistic Regression & Artificial Neural Network and analyse the core variables that determine the Improper Businessman in many variables. It is expected that our model can be used to improve the project management capability of defense acquisition and contribute to the establishment of efficient procurement procedure through entry of the reliable domestic manufacturer.

시뮬레이션을 이용한 전시국내 육로 수송 능력평가 (Evaluation of Wartime Domestic Overland Transportation Capability using Simulation)

  • 이진석;이상진
    • 한국국방경영분석학회지
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    • 제31권1호
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    • pp.26-41
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    • 2005
  • The ROK TRANSCOM and Army Logistics Command have established wartime overland transportation plans. They have to mobilize several wartime overland transportation troops in order to meet the wartime transportation requirement. But there are some uncertainties in the process of transportation such as the number of vehicles to mobilize, the vehicle utilization factor, and round trip time. Here, we established two models. One is the simulation model to evaluate the transportation capability considering uncertain factors. The simulation model is executed with two scenarios and then the results are analyzed through a sensitivity analysis. The other model is the regression model to analyze the effects of transportation factors toward capability.

Development of a Multiple Linear Regression Model to Analyze Traffic Volume Error Factors in Radar Detectors

  • Kim, Do Hoon;Kim, Eung Cheol
    • 한국측량학회지
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    • 제39권5호
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    • pp.253-263
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    • 2021
  • Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.

중량물 물류 실태 분석 및 개선 방안에 관한 연구 (A Study on Status Analysis and Improvement of Heavy Cargo Logistics)

  • 박두선;이청환;최경훈;박계각
    • 한국항만경제학회지
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    • 제33권3호
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    • pp.35-52
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    • 2017
  • 중량물 물류에 대한 관심과 수요는 경제 규모가 확대되고 플랜트 산업이 활성화되는 추세에 따라 점점 더 많아지고 다양해지고 있다. 이러한 화물들이 해상운송 또는 육상운송을 통하여 이동하고 있으나 중량물 물류에 대한 실태 분석 연구 및 체계적인 조사는 전무하거나 미흡한 실정이다. 따라서 본 연구는 기존 연구가 거의 전무한 중량물 물류에 대하여 중량화물의 개념, 법령, 제도 및 운송현황을 심층 분석하고 실증 분석을 통하여 도출된 문제점에 대하여 개선 방안을 제안하고자 한다. 중량물 물류에 영향을 미치는 요인에 대한 회귀 분석 결과로는 통계적으로 유의한 변수는 근무환경이 종속 변수인 경우 운송 빈도와 법/절차/제도인 것으로 나타났다. 이는 운송 빈도가 많지 않고 법/절차/제도가 양호하면 근무 환경이 좋은 것으로 인식하고 있는 것으로 파악되었다. 아울러 상관 분석을 실시한 결과 통계적으로 유의한 변수는 화물의 중량과 화물의 크기, 근무환경과 법/제도/절차이며 높은 상관관계를 나타내고 있다. 이는 화물의 크기가 중량과 비례하고 있는 경향을 나타내고 있으며 법/절차/제도가 양호하면 근무환경이 좋은 것으로 인식하는 있는 것으로 분석되었다. 도출된 문제점에 대한 개선 방안을 정리하면 다음과 같다. 첫째, 중량화물에 대한 개념을 명확히 정립할 필요가 있다. 둘째, 중량화물과 관련한 육 해상운송 관련 법 규정 및 조항이 마련되어야 한다. 셋째, 중량화물 운송 수단에 대한 분류 체계를 개선하여야 한다. 넷째, 운송실적 통계 및 집계기준 제도의 개선이 필요하다. 다섯째, 중량물 물류 관리시스템을 개선하여야 한다.

Customer Satisfaction with Less than Container Load Cargo Services in HoChiMinh City, Vietnam

  • GIAO, Ha Nam Khanh;THY, Nguyen Thi Anh;VUONG, Bui Nhat;TU, Tran Ngoc;VINH, Pham Quang;LIEN, Le Thi Phuong
    • The Journal of Asian Finance, Economics and Business
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    • 제7권8호
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    • pp.333-344
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    • 2020
  • This research has four specific objectives: (1) identifying factors that affect customer satisfaction with less than container load (LCL) cargo services of logistics companies in HoChiMinh City (HCMC), (2) measuring the level of impact of the factors, (3) testing the difference in satisfaction among groups of customers with different characteristics in terms of type of business and time of using LCL cargo services, and (4) proposing some management implications to improve the quality of LCL cargo services. Researchers interviewed 210 customers who enjoyed the LCL cargo service in HCMC for at least the last six months, using the convenient sampling method. SPSS 20 was used to analyze the reliability of the scale through the Cronbach's alpha coefficient, then exploratory factor analysis and multiple linear regression analysis were used. The results identified the six factors that influence positively customer satisfaction of LCL cargo services of logistics companies in HCMC, by decreasing importance: service process, image, resource, price, management, and outcomes. The results show that there is no difference in customer satisfaction with LCL cargo services by types of business as well as time of using services. The research suggests some implications for the management of logistics companies in HCMC to enhance customer satisfaction.