• Title/Summary/Keyword: Logistic Business

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Personal Remittances: An Empirical Study in Oman

  • UDDIN, Mohammed Ahmar;ALAM, Md. Shabbir
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.917-929
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    • 2021
  • This study highlights the importance of remittance, the factors which affect the percentage of income remitted, and the investment options available to reduce remittance. For the year 2019, the remittances from Oman totaled $9.1 billion. Oman was among the top remitters with remittance to gross domestic product (GDP) ratio of 11.9%. A survey was conducted on 300 resident expats in Oman. The descriptive analysis shows that the maximum remittance percentage is between 21%-40% of income. The multinomial logistic regression results show that outward remittance depends on gender, age, occupation, number of dependent in Oman, and the number of dependent in the home country. Regarding investment, the most preferred investment option is business, followed by real estate and financial services. Age and education are found to affect investment options. This paper tries to fill the literature gap, especially for the case of Oman, by exploring what determines the level of remittance and the preferred choices for retaining funds. This study adds to the existing literature, as no previous study is available regarding how personal factors can influence the level of remittance and investment in a small oil-exporting developing country like Oman. The study will be helpful to policymakers and academicians in devising policies to retain and invest the outwards remittances in Oman.

Family Firms and Stock Price Crash Risk (가족기업과 주가급락위험)

  • Ryu, Hae-Young;Chae, Soo-Joon
    • Asia-Pacific Journal of Business
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    • v.10 no.4
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    • pp.77-86
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    • 2019
  • The purpose of this study is to examine how the characteristics of family firms affect stock price crash risk. Prior studies argued that the opacity of information due to agency problem causes a plunge in stock prices. The governance characteristics of family firms can increase information opacity which leads to crash risk. Therefore, this study verifies whether family firms have a high possibility of stock price crash risk. We use a logistic regression model to test the relationship between family firms and stock price crash risk using listed firms listed on the Korean Stock Exchange during the fiscal years 2011 through 2017. The family firm is defined as the case where the controlling shareholder is the chief executive officer or the registered executive. If the controlling shareholder's share is less than 5%, it is not considered a family business. We found that family firms are more likely to experience a plunge in stock prices. This supports the hypothesis of this study that passive information disclosure behavior and information opacity of family firms increase stock price crash risk.

An Application of the Smart Beta Portfolio Model: An Empirical Study in Indonesia Stock Exchange

  • WASPADA, Ika Putera;SALIM, Dwi Fitrizal;FARISKA, Putri
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.9
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    • pp.45-52
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    • 2021
  • Stock price fluctuations affect investor returns, particularly, in this pandemic situation that has triggered stock market shocks. As a result of this situation, investors prefer to move their money into a safer portfolio. Therefore, in this study, we approach an efficient portfolio model using smart beta and combining others to obtain a fast method to predict investment stock returns. Smart beta is a method to selects stocks that will enter a portfolio quickly and concisely by considering the level of return and risk that has been set according to the ability of investors. A smart beta portfolio is efficient because it tracks with an underlying index and is optimized using the same techniques that active portfolio managers utilize. Using the logistic regression method and the data of 100 low volatility stocks listed on the Indonesia stock exchange from 2009-2019, an efficient portfolio model was made. It can be concluded that an efficient portfolio is formed by a group of stocks that are aggressive and actively traded to produce optimal returns at a certain level of risk in the long-term period. And also, the portfolio selection model generated using the smart beta, beta, alpha, and stock variants is a simple and fast model in predicting the rate of return with an adjusted risk level so that investors can anticipate risks and minimize errors in stock selection.

A Study on the Effect and Business Demand of the Orchard Scale-Up Project (과원규모화사업 효과 및 사업수요에 대한 연구)

  • Lim, Cheong-Ryong;Park, Young-Jun
    • Journal of Korean Society of Rural Planning
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    • v.29 no.1
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    • pp.11-17
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    • 2023
  • In this study, the effect of orchard expansion, structural improvement, and potential demand of the orchard scale-up project implemented since 2004 to strengthen the competitiveness of orchard farmers was examined. The results of the analysis are summarized as follows. First, looking at the effect of scale-up by checking the standard income data of the Rural Development Administration, it was possible to confirm the effect of scale-up in that the income per unit area increases as the scale increases. Second, through the scale-up project, the effect of structural improvement in transferring the orchards of the aged farm households to the younger farm households was confirmed to be 13 years old on average in the case of a sale business and 16 years old in the case of a lease business. Third, it was found that income increased at a statistically significant level after participating in the orchard scale-up project for major fruit crops such as apples, pears, and peaches. Fourth, it was found that age and cultivated area had a statistical effect on the probability of participating in the orchard scale-up project for farmers who did not participate in the project. The potential business demand using the estimated results was found to be between 25,203 and 37,089.

An Exploratory Study on Management Performance of Logistics Companies in Japan (일본 물류기업의 경영성과에 관한 탐색적 연구)

  • Koo, Kyoung-Mo
    • Journal of Korea Port Economic Association
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    • v.33 no.4
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    • pp.99-116
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    • 2017
  • This paper analyzes the characteristics of change in economic indicators logistics business performance indicators in Japan over the past decade. We compare the differences in management performance of groups related to logistics business strategy. This is because we want to show that the logistics business strategy is reflected in the management performance. Research methods include correlation analysis, crossover analysis, and variance analysis. The main results are as follows. First, logistic companies' sales are highly correlated with economic indicators such as GDP, trade value, and stock price. Second, there is a correlation between the business sectors and the proportion of tangible assets. It is understood that different business strategies are appropriate for each industry and each period. Third, the effects of business strategy variables on business performance variables were significant. In particular, the interaction effect of three variables showed a difference in the effect on the yield. The results of this study provide a better understanding of how logistics companies achieve a high performance in the changing economic environment over the past decade.

The New Framework for Taxonomy of Business Caused by Cyber Space Marketization and Its Application (공간시장화에 따른 새로운 비즈니스 분류 프레임워크의 제안과 적용)

  • 이홍길;이재원;류형근
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2003.05a
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    • pp.291-297
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    • 2003
  • The aim of this research is to propose new framework for taxonomy of various business and its concept, due to the changes in market space. This framework is three-dimension cubic model, based on three concepts, business layer(BL), value chain(VC), and Real/Virtual(R/V) that symbolizes real environment and virtual(or cyber) space. And we showed that this framework is able to describe all expected(or existed) business types in certain industry by the combinations of BL-VC-R/V on three dimension. In addition, we suggested new definition of e-business and e-Logistics from view of BL-VC-R/V. In order to test availability, this framework was applied for logistics related business. and classified typical business types existed (or expected) in logistics area.

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The New Framework for Taxonomy of Business Caused by Cyber Space Marketization and Its Application (공간시장화에 따른 새로운 비즈니스 분류 프레임워크의 제안과 적용)

  • Lee, Hong-Girl;Lee, Jae-Won;Ryu, Hyung-Geun
    • Journal of Navigation and Port Research
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    • v.27 no.4
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    • pp.389-395
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    • 2003
  • The aim of this research is to propose new framework for taxonomy of various business and its concept. due to the changes in market space. This framework is three-dimension cubic model based on three concepts, business layer(BL), value chain(VC), and Real/Virtual(R/V) that symbolizes real environment and virtual (or cyber) space. We showed that this framework is able to describe all expected(or existed) business types in certain industry by the combinations of BL-VC-R/V on three dimension. In addition, we suggested new definition of e-business and e-Logistics from view of BL-VC-R/V. In order to test availability of framework, this framework was applied for logistics related business, and we classified typical business types existed (or expected) in logistics area.

21 Century Multi-Purpose Project for the Harmony of Human and Nature, Job and Rest (한반도 대운하-인간과 자연, 일터와 쉼터가 어우러지는 21세기 다목적 프로젝트)

  • Park, Seung-Hwan
    • Journal of the Korean Professional Engineers Association
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    • v.41 no.2
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    • pp.40-44
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    • 2008
  • The construction of korea grand canal supplys nation as below:$\Delta$ return to clean and clear river $\Delta$ offer urbanite space for re-charging $\Delta$ offer local resident tourist attractions $\Delta$ alternative for global warming $\Delta$ economic project for development and growth $\Delta$ awake sleeping inland city $\Delta$ strengthen business competitiveness $\Delta$ reduction of logistic cost

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An Analysis of Locational Characteristics and Business Change in the Commercially Gentrified Residential Areas in Seoul, Korea (서울시 상업 젠트리피케이션 발생 주거지역의 입지적 요인과 변화특성 분석)

  • Lee, Gihoon;Lee, Sugie;Cheon, SangHyun
    • Journal of the Korean Regional Science Association
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    • v.34 no.1
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    • pp.31-47
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    • 2018
  • This study examines the locational characteristics and change of business type in the residental areas that have commercial gentrification issues in Seoul, Korea, using the logistic regression model. The analysis results indicate that the gentrification occurrence areas are strongly associated with low-density and old residential areas. In addition, those areas are more likely to have great accessibilities to highway ramp, subway station, colleges, and other facilities that attract people. Regarding the characteristics of the road, gentrification occurrence areas are associated with longer road length, lower rate of road areas, higher local integration of road network, and higher rate of three-way intersections. This finding indicates that low-density and old residential areas with organic road networks have strong links with commercial gentrification. This study also finds that the business type has been substantially changed from 2006 to 2014 in the commercially gentrified residential areas. While the coffee shops and drinking places have been increased, but neighborhood-living facilities have been decreased. This study also shows that the business life-cycles of drinking places or Korean restaurant are getting short. Finally, this study discusses the commercial gentrification issues and policy implications in the residential districts in Seoul, Korea.

A Study on the Failure Effect Analysis of Overhead Transformer Considering Weather (기상요인에 따른 가공변압기의 고장영향 분석에 관한 연구)

  • Oh, Do-Eun;Jang, Seung-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.5
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    • pp.857-862
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    • 2017
  • The management of the electric power facilities became important in accordance with the industrial development and electric power facilities were influenced by weather. Even if the same kind of electric power facilities is estimated for extracting the time-varying failure rate, the failure rate could be different depending on external effect such as climate. This research will show the data mining modeling of the weather-related outage and influence of weather on the electric power facility with recent data.