• Title/Summary/Keyword: IT Logistics

Search Result 2,186, Processing Time 0.027 seconds

Empirical Analysis on the Influence of Service Quality of Leisure Food E-Commerce in China on Consumer Satisfaction Degree (중국 레저푸드 전자상거래의 서비스 품질이 소비자 만족도에 미치는 영향에 관한 실증분석)

  • Liu, Zi-Yang;Meng, Jia
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2019.07a
    • /
    • pp.407-408
    • /
    • 2019
  • This thesis determines the research framework and scale design of leisure food E-Commerce consumer satisfaction degree by referring to previous theoretical model of customer satisfaction degree, the universal satisfaction evaluation index system, and the characteristics of leisure food E-Commerce in China. In this research, consumers who have bought leisure food online are taken as the research object, data are collected by questionnaires, and exploratory factor method is used to screen valid sample data. Through the Empirical Analysis which includes Descriptive Statistical Analysis, Reliability and Validity Analysis and Structural Equation Modeling, it is concluded that website design, logistics delivery service, commodity quality, and after-sales service are the main service quality on which the Leisure food E-Commerce enterprises should take focus. The service quality has significant positive influences on satisfaction degree. On the other hand consumer satisfaction has a significant positive influence on customer loyalty, which will create more earnings for the Leisure food E-Commerce enterprises.

  • PDF

What Drives Mobile Commerce? Determinants of Behavioral intents to Adopt m-Commerce

  • Chung, Lak-Chae;Hwang, Inkeuk
    • Journal of the Korean Institute of Plant Engineering
    • /
    • v.23 no.4
    • /
    • pp.39-50
    • /
    • 2018
  • This study aimed at investigating the features of m-commerce (mobility, perceived enjoyment, perceived personalization, and habit) that influence consumers' behavioral intents to adopt mobile shopping. To this end, it theorized on and examined the effects of the features of m-commerce that influence consumers' behavioral intents to adopt mobile shopping. The results showed that the most critical drives of m-commerce in mobile shopping are mobility, perceived personalization, and habit. And also we found that habit weakens (moderates) the effects of mobility on the consumers' behavioral intents to adopt mobile shopping. Habit has direct effects on the consumers' behavioral intents to adopt mobile shopping, and these effects are moderated by individual habit.

Experience in Online Education in Logistic-related Departments in the New Normal Age (뉴노멀시대에 있어서 물류 관련 학과의 온라인교육 경험)

  • Bae, Soo Hyun
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
    • /
    • v.26 no.3
    • /
    • pp.139-145
    • /
    • 2020
  • The purpose of this study is to share the experience of online education with departments related to the servic industry, such as distribution and logistics, in the New Normal Age of COVID-19 pandemics. The graduation presentation project, which is the capstone design subject and the most urgent subject for face-to-face classes, was selected as the online education subject of this study. The results of this study are as follows : First, several online class tools, such as Zoom, Microsoft Teams, and Google Meet, have also been shown to be applicable to capstone design subjects such as graduation presentation projects. Second, it is essential to reorganize the curriculum to enhance students' ability to practice and utilize online contents. Third, continuous education and training are needed to make easy use of the aforementioned online teaching tools. Meanwhile, fourth, further research is needed to solve the learning effects caused by online learning, and difficulties in communication.

Trends on Alternative Fuel Vehicles in World-Wide 10 Postal Agencies (해외 우정기관의 친환경 차량 운영 동향)

  • Kim, S.H.;Jung, H.;Lee, I.H.
    • Electronics and Telecommunications Trends
    • /
    • v.36 no.4
    • /
    • pp.118-134
    • /
    • 2021
  • In this study, we provide trends on alternative fuel vehicles promoted by postal agencies in 10 countries in North America, the EU, and Asia. It describes the specifications of most EV vehicles in operation, plans, and strategies to replace existing internal combustion engines with new vehicles in the future and provides the current status of alternative vehicle charging networks in each postal agency. This paper will help postal agencies, logistics companies, automobile companies, motorcycle companies, and even individuals who want to use vehicles with alternative fuels, such as electric vehicles, on strategies to establish and implement before introducing and operating the vehicles.

Modeling Exponential Growth in Population using Logistic, Gompertz and ARIMA Model: An Application on New Cases of COVID-19 in Pakistan

  • Omar, Zara;Tareen, Ahsan
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.1
    • /
    • pp.192-200
    • /
    • 2021
  • In the mid of the December 2019, the virus has been started to spread from China namely Corona virus. It causes fatalities globally and WHO has been declared as pandemic in the whole world. There are different methods which can fit such types of values which obtain peak and get flattened by the time. The main aim of the paper is to find the best or nearly appropriate modeling of such data. The three different models has been deployed for the fitting of the data of Coronavirus confirmed patients in Pakistan till the date of 20th November 2020. In this paper, we have conducted analysis based on data obtained from National Institute of Health (NIH) Islamabad and produced a forecast of COVID-19 confirmed cases as well as the number of deaths and recoveries in Pakistan using the Logistic model, Gompertz model and Auto-Regressive Integrated Moving Average Model (ARIMA) model. The fitted models revealed high exponential growth in the number of confirmed cases, deaths and recoveries in Pakistan.

The Effect of SMEs' Slack Resource on Internationalization: Focusing on SMEs' Subcontracting Relationship

  • KIM, Jae-Jin
    • East Asian Journal of Business Economics (EAJBE)
    • /
    • v.9 no.1
    • /
    • pp.17-26
    • /
    • 2021
  • Purpose-This study examines how financial slack resources and subcontracting of small and medium-sized enterprises (SMEs) affect their internationalization. To identify slack resources, subcontracting, and internationalization of SMEs, 1,062 SME samples in the electronics industry are used in the logistic regression analysis to analyze their relationship with SMEs' export. Research design, data, and methodology-This study conducted the empirical analysis on 1,062 SMEs in the electronics industry using the sample survey method. The samples were based on data selected and distributed by the Ministry SMEs and Startups. The data analysis methods were descriptive, correlation analysis, and logistics regression analysis. Result-The analysis shows that only available resources are negatively related to SMEs' internationalization. It can be interpreted as a high tendency for SMEs to avoid relatively risky choices such as entering overseas markets if they have enough financial resources. Moreover, subcontracting has a negative relationship with internationalization. Conclusion-This study broadened the scope of SME research by analyzing subcontracting and slack resources together and provides practical implications for policymakers and managers.

Pedigree System Design for Improving Authenticity in Cold-chain (콜드체인에서 입증성 향상을 위한 Pedigree 시스템 설계)

  • Eom, Ji-in;Kim, Gihong;Hong, Bonghee
    • Annual Conference of KIPS
    • /
    • 2009.04a
    • /
    • pp.766-769
    • /
    • 2009
  • 콜드체인은 생산지로부터 소비지까지 저온상태로 상품을 신선하게 유지하여 안전하게 소비자에게 공급하는 것을 목적으로 한다. 그러나 유통 중 저온 유지가 안될 경우가 발생하고 이에 따라 변질된 상품을 소비자가 구매할 수 있다. 그러므로 소비자는 냉장 유통과정에 대해 입증할 수 있는 정보를 제공받기를 원한다. 따라서 본 논문에서 제안하는 Pedigree 시스템은 콜드체인 상품을 주고 받을 때 거래에 관한 정보인 Pedigree 데이터를 교환하는 시스템으로, 매 분배 단계에서 냉장 온도 및 물품의 상태를 체크하여 이상이 없을 경우에만 확인자의 서명정보를 추가하여 다음 분배지로 유통시키고 이상이 있을 경우 유통을 중지하여 변질된 상품이 유통되는 것을 막는다. 본 시스템의 아키텍처는 기존의 EPCIS(EPC Information Services)를 확장하여 사용하도록 설계하였고, Pedigree 처리를 위한 API 를 제공하는 Pedigree Library 를 제안하여 EPCIS 환경에 대하여 확장이 용이하다.

A Random Forest Algorithm-based Accident Prediction to Prevent Marine Pilot Occupational Accidents

  • Gokhan Camliyurt;Won Sik Kang;Daewon Kim;Sangwon Park;Youngsoo Park
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2022.06a
    • /
    • pp.415-416
    • /
    • 2022
  • Marine pilot occupational accidents during transfer to/from the ship are at the top of the agenda after several safety campaigns by IMPA and individual attemptsThere is multiple transfer method for the marine pilot, but a most common way is to use the pilot cutter. This paper aims to predict marine pilot occupational accidents before it occurs by using historical data. Since the problem depends on several variables, this paper develops a model by using the random forest method to predict marine pilot accidents before happening with the random forest method by using RStudio software

  • PDF

The Effectiveness and Proposal of Agri-Food Export Subsidies in GyeongBuk (경상북도 농산물 수출지원정책의 효과와 과제)

  • Heeho Kim
    • Korea Trade Review
    • /
    • v.47 no.2
    • /
    • pp.1-18
    • /
    • 2022
  • This paper examines the effects of export subsidies on agricultural food exports, focusing on a case of Gyeongsangbuk-do. Using monthly data of agricultural food exports during 2007-2020 and the GLS regression analysis, we test the hypothesis whether the export subsidies would increase the exports of four major agri-food categories with three digit codes of HS such as fruits, vegetables, flowers, and mushrooms. Evidence shows that the export subsidies had statistically significant impacts on the agri-food exports except flowers. In order to test the robustness of the analysis, the agri-food export subsidies are reclassified into four sub-subsidy policies, and the analysis re-examines the effects of the sub-subsidies on agri-food exports. It shows that export policies for production stabilization, logistics, and overseas marketing promote the exports of agri-foods significantly. Alternative export policies are drawn in this study since the existing subsidies conflict with the WTO agricultural agreement.

BERT-Based Logits Ensemble Model for Gender Bias and Hate Speech Detection

  • Sanggeon Yun;Seungshik Kang;Hyeokman Kim
    • Journal of Information Processing Systems
    • /
    • v.19 no.5
    • /
    • pp.641-651
    • /
    • 2023
  • Malicious hate speech and gender bias comments are common in online communities, causing social problems in our society. Gender bias and hate speech detection has been investigated. However, it is difficult because there are diverse ways to express them in words. To solve this problem, we attempted to detect malicious comments in a Korean hate speech dataset constructed in 2020. We explored bidirectional encoder representations from transformers (BERT)-based deep learning models utilizing hyperparameter tuning, data sampling, and logits ensembles with a label distribution. We evaluated our model in Kaggle competitions for gender bias, general bias, and hate speech detection. For gender bias detection, an F1-score of 0.7711 was achieved using an ensemble of the Soongsil-BERT and KcELECTRA models. The general bias task included the gender bias task, and the ensemble model achieved the best F1-score of 0.7166.