• Title/Summary/Keyword: Logistic Business

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Selection Criteria of Manufacturers toward Third-Party Logistics Services with Reference to China SuZhou Industrial Park (중국 제조업체의 제3자 물류 선택요인과 성과에 관한 연구 : 중국 소주 공업원구를 중심으로)

  • Koh, Yong-Ki;Jin, Yu-Pyeong;Shin, Jeong-Yong
    • International Commerce and Information Review
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    • v.11 no.3
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    • pp.75-100
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    • 2009
  • With the change of various business environments, needs for the third party logistics(3PL) service are strategically considered for securing core competitiveness of manufacturers in China. Thus, manufacturers not only have worked with 3PL service providers for cutting costs of logistics, but also they are willing to have Win-Win relationship with the 3PL service provider. In this paper, comparing situation and characteristics of both China and developed-countries, especially in the particularity of manufacturing companies in China. The most important thing is that 3PL service providers must be able to manage supply chain of manufacturers with logistic planning abilities and to operate logistics services with logistic infrastructures and IT systems. In the view of long-term development, incubating logistics specialists is also the influencing fact that makes 3PL service providers more competitive with high quality logistics service and infrastructures.

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Development of Inspection Methods for Bearing Faults with a Rapid Change of Rotation Speed and Optimization of Pass/Fail Criteria (회전 속도가 급격히 변화하는 베어링의 양부 검사 기법 개발 및 검사 기준 최적화)

  • Yang, Won Seok;Lee, Won Pyo;Lee, Jong Woo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.25 no.3
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    • pp.273-286
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    • 2017
  • We develop an inspection method for bearing faults with a rapid change in the rotation speed and present indexes for the pass/fail inspection. At the end of line, impulse noises generated by the operation of machines and conveyors may distort the inspection results. In this paper, we present robust inspection indexes for bearing faults under impulse noises, by taking into account fault signals having pulse train. Using logistic regression, we optimize the pass/fail criterion for each index and evaluate the performance of the inspection indexes based on the total error rate.

Establishment of Strategic Agility through a Logistics Information Systems: A Case Study of "H" Corporation (물류정보시스템 구현을 통한 전략적 민첩성의 달성: "H"기업 사례연구)

  • Kim, Chang-Sik;Lee, Jeong-Min;Kwahk, Kee-Young
    • The Journal of Information Systems
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    • v.19 no.1
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    • pp.63-77
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    • 2010
  • Strategic agility plays a critical role in sustaining competitive advantage in the turbulent environment. This study examines the relationship between a logistics information system and, strategic agility through the analysis of "H" corporation case. The results of case study showed that the introduction of logistic information system facilitates the degree of strategic sensitivity, collective commitments and resource fluidity, which are primary elements of strategic agility. This study gives an insight to the practitioners who attempt to create strategic agility through the implementation of logistic information systems.

Determinants Affecting Residents' Community Attachment in Rural Tourism Development (농촌관광 마을주민 지역사회애착심 영향요인 분석)

  • Park, Duk-Byeong
    • The Korean Journal of Community Living Science
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    • v.20 no.2
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    • pp.247-262
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    • 2009
  • A concept of community attachment was applied to investigate the residents' support for tourism development. This study aims to identify the factors influencing conflict management and community attachment on community resident in rural tourism villages. On-site survey with self-administered questionnaires was conducted for 348 residents in the rural tourism communities. Two distinct segments were identified by factor-clustering methods: functional-affective community attachment(80.72%) and anti-community attachment(19.28%). The characteristics of community residents with each type of community attachment were determined using a Bionomial Logistic Regression model. The most important determinants of positive community attachment were the degree of tourism business involvement, sex, and education. Therefore, some government supportive programs are needed to improve community attachment for the people who are under educated and females. In addition, the functional aspects of community attachment should be considered for rural tourism development.

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The Determinants of Environmental Information Disclosure in Vietnam Listed Companies

  • NGUYEN, Thi Le Hang;NGUYEN, Thi Thu Hien;NGUYEN, Thi Thanh Huyen;LE, Thi Hong Anh;NGUYEN, Van Cong
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.2
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    • pp.21-31
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    • 2020
  • Environmental pollution and climate change in Vietnam are now becoming a major concern. This situation is increasing the pressure on the companies to improve their social responsibility in production and business activities and disclose the environmental information to meet the requirements of stakeholders. This study investigates the internal and external factors of the company that affects the environmental information disclosure of listed companies on the Vietnam stock market as business sector, firm size, corporate manager perceptions, profitability, financial leverage, community pressure, pressures from stakeholders, government pressure influencing environmental information disclosure. Analytical data collected through the survey of 120 listed companies on the Ho Chi Minh City Stock Exchange (HOSE). By testing Cronbach's Alpha, exploratory factor analysis (EFA) and logistic regression analysis, the results of the study show that the level of environmental information disclosure of listed companies on the stock market in Vietnam depends heavily on government regulations, followed by the pressure from stakeholders, community pressure, views of business managers, companies size, business sector, and particularly profitability and financial leverage factors that have a negative relationship with environmental information disclosure.

Understanding the Sentiment on Gig Economy: Good or Bad?

  • NORAZMI, Fatin Aimi Naemah;MAZLAN, Nur Syazwani;SAID, Rusmawati;OK RAHMAT, Rahmita Wirza
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.10
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    • pp.189-200
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    • 2022
  • The gig economy offers many advantages, such as flexibility, variety, independence, and lower cost. However, there are also safety concerns, lack of regulations, uncertainty, and unsatisfactory services, causing people to voice their opinion on social media. This paper aims to explore the sentiments of consumers concerning gig economy services (Grab, Foodpanda and Airbnb) through the analysis of social media. First, Vader Lexicon was used to classify the comments into positive, negative, and neutral sentiments. Then, the comments were further classified into three machine learning algorithms: Support Vector Machine, Light Gradient Boosted Machine, and Logistic Regression. Results suggested that gig economy services in Malaysia received more positive sentiments (52%) than negative sentiments (19%) and neutral sentiments (29%). Based on the three algorithms used in this research, LGBM has been the best model with the highest accuracy of 85%, while SVM has 84% and LR 82%. The results of this study proved the power of text mining and sentiment analysis in extracting business value and providing insight to businesses. Additionally, it aids gig managers and service providers in understanding clients' sentiments about their goods and services and making necessary adjustments to optimize satisfaction.

Does Bankruptcy Matter in Non-Banking Financial Sector Companies?: Evidence from Indonesia

  • DWIARTI, Rina;HAZMI, Shadrina;SANTOSA, Awan;RAHMAN, Zainur
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.441-449
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    • 2021
  • Bankruptcy is indicated by the inability of the company to meet its maturity obligations. The Covid-19 pandemic has had a terrible impact on the economy and businesses. The aim of this study to determine the effect of the ratios of activity, growth, leverage, and profitability in predicting bankruptcy projected by earnings per share (EPS). The sample of this research was non-banking financial sector companies listed on the Indonesia Stock Exchange in 2015-2019 and the purposive sampling technique was used. The data analysis method used was the logistic regression method to test the hypotheses. Company growth shows the company's ability to manage sales and generate high company profits, as such, the probability of the company experiencing bankruptcy will be lower. The results of this study showed that the debt to assets ratio (DAR), debt to equity ratio (DER), and return on assets (ROA) can predict bankruptcy. Meanwhile, this research found that the total assets turnover (TATO) ratio, sales growth, and net profit margin (NPM) cannot be used to predict bankruptcy.

A Logistic Regression Analysis on the Recognition of Korean Small and Medium Enterprises on Korea-India Comprehensive Economic Partnership (로짓분석을 통한 국내 중소기업의 한-인도 포괄적 경제동반자 협정에 대한 인식 연구)

  • Lee, Soon Cheul
    • International Area Studies Review
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    • v.14 no.2
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    • pp.107-129
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    • 2010
  • This study does the logistic regression analysis in a survey how Korean Small and Medium Enterprises(SMEs) recognize the effects of the Korea-India Comprehensive Economic Partnership (CEPA) on their business activities and strategies. The results show that Korean SMEs which have relatively more employees and bigger size in terms of sales have interest in the Korea-India CEPA. In particular, the SMEs which are engaged in their business activities with India have more interest in the CEPA than those that have not any business relations with India. However, the results show that they will not enter or expand their business fields in India even though the CEPA starts. It implies that Korean SMEs recognize that the CEPA will not affect their business significantly. Thus, this study has a policy implication for government to adopt/establish policies for SMEs utilizing the CEPA. It includes information services about the CEPA, India markets, a political corporation between the Governments for improving the partnerships in the trade and FDI and so on.

Investigating the Influence of ESG Information on Funding Success in Online Crowdfunding Platform by Using Text Mining Technique and Logistic Regression

  • Kyu Sung Kim;Min Gyeong Kim;Francis Joseph Costello;Kun Chang Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.7
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    • pp.155-164
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    • 2023
  • In this paper, we examine the influence of Environmental, Social, and Governance (ESG)-related content on the success of online crowdfunding proposals. Along with the increasing significance of ESG standards in business, investment proposals incorporating ESG concepts are now commonplace. Due to the ESG trend, conventional wisdom holds that the majority of proposals with ESG concepts will have a higher rate of success. We investigate by analyzing over 9000 online business presentations found in a Kickstarter dataset to determine which characteristics of these proposals led to increased investment. We first utilized lexicon-based measurement and Feature Engineering to determine the relationship between environment and society scores and financial indicators. Next, Logistic Regression is utilized to determine the effect of including environmental and social terms in a project's description on its ability to obtain funding. Contrary to popular belief, our research found that microentrepreneurs were less likely to succeed with proposals that focused on ESG issues. Our research will generate new opportunities for research in the disciplines of information science and crowdfunding by shedding new light on the environment of online micro-entrepreneurship.

Forecasting methodology of future demand market (미래 수요시장의 예측 방법론)

  • Oh, Sang-young
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.205-211
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    • 2020
  • The method of predicting the future may be predicted by technical characteristics or technical performance. Therefore, technology prediction is used in the field of strategic research that can produce economic and social benefits. In this study, we predicted the future market through the study of how to predict the future with these technical characteristics. The future prediction method was studied through the prediction of the time when the market occupied according to the demand of special product. For forecasting market demand, we proposed the future forecasting model through comparison of representative quantitative analysis methods such as CAGR model, BASS model, Logistic model and Gompertz Growth Curve. This study combines Rogers' theory of innovation diffusion to predict when products will spread to the market. As a result of the research, we developed a methodology to predict when a particular product will mature in the future market through the spread of various factors for the special product to occupy the market. However, there are limitations in reducing errors in expert judgment to predict the market.