• Title/Summary/Keyword: Asset-based approach

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A Study on Determinants of Performance of Contract Farming by Agricultural Cooperatives (농업협동조합 계약재배 사업의 성과 결정요인 분석)

  • Gwon, Sun-Hwan;Kim, Dong-Hwan
    • Asia-Pacific Journal of Business
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    • v.11 no.1
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    • pp.27-44
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    • 2020
  • Purpose - This study examines the factors that influence the performance of contract farming by agricultural cooperatives from the agency theory and resource-based view of the firm. Design/methodology/approach - This study collected 1,090 data related to a sample of contract information between agricultural cooperatives and producers from national agricultural cooperatives federation. In order to examine the performance of contract farming, we use the multiple regression analysis. Findings - Incentives may reduce agency problems by increasing producers' motivation and discouraging their opportunistic behavior. Total asset size and education expenses function like resources that lessen the risks coming from environment uncertainty, and also facilitate the contract farming between producers and agricultural cooperatives. Research implications or Originality - By analyzing the factors that influence on the performance of contract farming between producers and agricultural cooperatives, we propose that incentives, and resources may improve the performance of contract farming between agricultural cooperatives and producers. Overall, the contract farming can co-create the economic efficiency and effectiveness while minimizing risks and uncertainty.

A Study on Responsible Investment Strategies with ESG Rating Change (ESG 등급 변화를 이용한 책임투자전략 연구)

  • Young-Joon Lee;Yun-Sik Kang;Bohyun Yoon
    • Asia-Pacific Journal of Business
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    • v.13 no.4
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    • pp.79-89
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    • 2022
  • Purpose - The purpose of this study was to examine the impact of ESG rating changes of companies listed in Korean Stock Exchange on stock returns. Design/methodology/approach - This study collected prices and ESG ratings of all the companies listed on the Korea Composite Stock Price Index. Based on yearly change of ESG ratings we grouped companies as 2 portfolios(upgrade and downgrade) and calculated portfolios' return. Findings - First, the difference in returns between upgraded and downgraded portfolios is small and statistically insignificant. Second, however, in the COVID-19 period (2020 ~ 2021), the upgraded portfolio outperforms the downgraded portfolio by 0.7 percentage points per month. The difference in returns between upgraded and downgraded portfolios is statistically significant after controlling for the Carhart four factors. Lastly, there are much higher volatility when the ESG rating changes are made of companies with low levels of ESG ratings. Research implications or Originality - This study is the first to examine the impact of ESG rating changes on stock returns in Korea. Furthermore, the findings can serve as a reference for managers who want to control a firm's risk by ESG rating changes. Practically, asset managers can use the findings to construct portfolios that are less risky or more profitable than the market portfolio.

Estimation of Environmental Costs Based on Size of Oil Tanker Involved in Accident using Neural Network (신경망을 이용한 유조선 기름 유출사고에 따른 환경비용 추정에 관한 연구)

  • Shin, Sung-Chul;Bae, Jeong-Hoon;Kim, Hyun-Soo;Kim, Seong-Hoon;Kim, Soo-Young;Lee, Jong-Kap
    • Journal of Ocean Engineering and Technology
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    • v.26 no.1
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    • pp.60-63
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    • 2012
  • The accident risks in the marine environment are increasing because of the tendency to build faster and larger ships. To secure ship safety, risk-based ship design (RBSD) was recently suggested based on a formal safety assessment (FSA). In the process of RBSD, a ship designer decides which risk reduction option is most cost-effective in the design stage using a cost-benefit analysis (CBA). There are three dimensions of risk in this CBA: fatality, environment, and asset. In this paper, we present an approach to estimate the environmental costs based on the size of an oil tanker involved in an accident using a neural network. An appropriate neural network model is suggested for the estimation,and the neural network is trained using IOPCF data. Finally,the learned neural network is compared with the cost regression equation by IMO MEPC 62/WP.13 (2011).

Adaptive Multi-Layer Security Approach for Cyber Defense (사이버 방어를 위한 적응형 다중계층 보호체제)

  • Lee, Seong-kee;Kang, Tae-in
    • Journal of Internet Computing and Services
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    • v.16 no.5
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    • pp.1-9
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    • 2015
  • As attacks in cyber space become advanced and complex, monotonous defense approach of one-one matching manner between attack and defense may be limited to defend them. More efficient defense method is required. This paper proposes multi layers security scheme that can support to defend assets against diverse cyber attacks in systematical and adaptive. We model multi layers security scheme based on Defense Zone including several defense layers and also discuss essential technical elements necessary to realize multi layers security scheme such as cyber threats analysis and automated assignment of defense techniques. Also effects of multi layers security scheme and its applicability are explained. In future, for embodiment of multi layers security scheme, researches about detailed architecture design for Defense Zone, automated method to select the best defense technique against attack and modeling normal state of asset for attack detection are needed.

Automated Attack Path Enumeration Method based on System Vulnerabilities Analysis (시스템 취약점 분석을 통한 침투 경로 예측 자동화 기법)

  • Kim, Ji Hong;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.5
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    • pp.1079-1090
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    • 2012
  • As the number of information asset and their vulnerabilities are increasing, it becomes more difficult for network security administrators to assess security vulnerability of their system and network. There are several researches for vulnerability analysis based on quantitative approach. However, most of them are based on experts' subjective evaluation or they require a lot of manual input for deriving quantitative assessment results. In this paper, we propose HRMS(Hacking and Response Measurement System) for enumerating attack path using automated vulnerability measurement automatically. HRMS can estimate exploitability of systems or applications based on their known vulnerability assessment metric, and enumerate attack path even though system, network and application's information are not fully given for vulnerability assessment. With this proposed method, system administrators can do proactive security vulnerability assessment.

A Study on XMDR-DSM System Design for Cooperative (협업을 위한 XMDR-DSM 시스템 설계에 관한 연구)

  • Moon, Seok-Jae;Jung, Kye-Dong;Choi, Young-Keun
    • The KIPS Transactions:PartD
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    • v.16D no.5
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    • pp.701-714
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    • 2009
  • In the enterprises the data integration based on service requires integrated data management as the change in the environment of enterprises accelerates. Cooperation among enterprises is accomplished through accessing distributed database using business process. As this approach is performed based on the global query, problems such as data heterogeneity, schema heterogeneity, and verification of validity have to be solved in advance for the interoperability among the heterogeneous system. Thus, cooperation requires dynamic and reliable construction. In this paper, we propose XMDR-DSM (eXtended MetaData Registry-Data Service Mediator) system for cooperation. XMDR-DSM, which is comprised of XMDR-DS, XMDR-DQP, and XMDR-DAI, supports the mapping between global schema and local schema and provides data access and integration service. Therefore, XMDR-DSM enables the mutual support of business operations among heterogeneous database. In addition, it can secure information as reusable asset and the standardization of interchange. Also it can manage unified information since it provides business process based on workflow; therefore, it will be able to increase the life span of information and reduce the cost.

Automation of Inventory Checking System for Outdoor Warehouse (야외창고 재고실사 자동화를 위한 시스템 개발)

  • Bae, Sung Moon;Han, Kwan Hee;Lee, Hwa Yong;Hong, Kum Suk
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.138-144
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    • 2018
  • Inventory inspection is an important task to eliminate the inconsistency between real assets and inventory management systems, and it is performed periodically at the site. In the case of a large-sized property, it is mainly managed in an outdoor workshop or a warehouse. However, due to the large area of the outdoor area, it is relatively difficult to identify the quantity and location of the property and is also vulnerable to theft. To solve this problem, we proposed a method and system for performing a warehouse inventory inspection using an unmanned aerial vehicle (UAV) and Bluetooth low energy (BLE) beacons. The proposed method has the following advantages. First of all, if we carry out inventory inspection by utilizing UAV, we can minimize user's effort compared to existing methods. The method of recognizing the asset by attaching the BLE beacon is more costly than using the existing RFID technology, but it is advantageous because the recognition distance is increased and the battery life of the tag is drastically increased. We also designed a BLE beacon reader for the system and implemented a prototype to show the feasibility of the proposed system. The prototype is based on Genuino 101, which is a kind of arduino, and adds HM-10 and Neo-6m modules to provide Bluetooth and GPS functions. The BLE beacon reader was tested in outdoor, and attached in drone. We also developed an inventory checking system based on the web to display results of inventory checking. The proposed approach enables the users to automate the operation of inventory checking on an outdoor warehouse.

Symbol recognition using vectorial signature matching for building mechanical drawings

  • Cho, Chi Yon;Liu, Xuesong;Akinci, Burcu
    • Advances in Computational Design
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    • v.4 no.2
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    • pp.155-177
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    • 2019
  • Operation and Maintenance (O&M) phase is the main contributor to the total lifecycle cost of a building. Previous studies have described that Building Information Models (BIM), if available with detailed asset information and their properties, can enable rapid troubleshooting and execution of O&M tasks by providing the required information of the facility. Despite the potential benefits, there is still rarely BIM with Mechanical, Electrical and Plumbing (MEP) assets and properties that are available for O&M. BIM is usually not in possession for existing buildings and generating BIM manually is a time-consuming process. Hence, there is a need for an automated approach that can reconstruct the MEP systems in BIM. Previous studies investigated automatic reconstruction of BIM using architectural drawings, structural drawings, or the combination with photos. But most of the previous studies are limited to reconstruct the architectural and structural components. Note that mechanical components in the building typically require more frequent maintenance than architectural or structural components. However, the building mechanical drawings are relatively more complex due to various type of symbols that are used to represent the mechanical systems. In order to address this challenge, this paper proposed a symbol recognition framework that can automatically recognize the different type of symbols in the building mechanical drawings. This study applied vector-based computer vision techniques to recognize the symbols and their properties (e.g., location, type, etc.) in two vector-based input documents: 2D drawings and the symbol description document. The framework not only enables recognizing and locating the mechanical component of interest for BIM reconstruction purpose but opens the possibility of merging the updated information into the current BIM in the future reducing the time of repeated manual creation of BIM after every renovation project.

A Longitudinal Causal Rrelationship Study on the Elderly's Assets, Depression and Llife Satisfaction: : The Application of Autoregressive Cross-lagged Model (노인의 자산과 우울 및 삶의 만족 간의 종단적 인과관계: 자기회귀교차지연모형의 적용)

  • Lee, Hyoung-Ha
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.513-522
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    • 2020
  • The purpose of this study is to analyze the auto-regression effect between the elderly's assets and depression and life satisfaction, and to approach the influence of assets and depression on the elderly's life from a longitudinal perspective. For this purpose, the data for the 9th year (2014), 11th year (2016), and 13th year (2018) of the Korea Welfare Panel were used. As a result of the analysis, First, the assets, depression and life satisfaction of the elderly have a lasting effect on the passage of time, and the assets, depression and life satisfaction of the previous point in time (B=.694, B=.725, p<.001), depression (B=.258, B=.331 and p<.001) and life satisfaction (B=.264, B=.265, p<.001). Second, cross-recursion coefficients show how the relationship between the assets of the elderly and depression and the satisfaction of life affects each other over time, and the assets of the older person at the previous point in time (B=.010, B=.011, p<.001), the assets of the older persons at previous times are subsequently satisfied with their lives (B=.128, B=.124, p<.001). Based on the results of the above analysis, it is necessary to support the elderly's asset management service and education to prevent depression, such as continuous asset utilization education.

Intangibility, Profitability and Employment Growth of Firms (기업의 무형화, 수익률 그리고 고용성장)

  • Suh, Hanseok
    • International Area Studies Review
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    • v.22 no.3
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    • pp.175-200
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    • 2018
  • Since the 1990s rising intangible asset has become one of the main driving forces of investment stagnation and jobless growth in advanced income countries. We investigate how does the impact of firms' profitability on employment growth depends on the intangibility and whether the relationship between profitability and tangibility has complementarity. With data on Korean firms over the period 1988~2017 we investigate the effects of intangibility and profitability on employment growth based on the econometric approach of system GMM. The empirical results are as follows. (1) the profit rate has gradually led to lower employment growth, while it had positive effect on employment before the period of financial crisis. The estimated values and signs of profit rate coefficients varies from traditional industries to high/medium tech. industries. (2) the effect of increasing asset intangibility ratio on employment growth is negative and statistically significant. (3) the coefficients of interaction term of (profit rate ${\times}$ intangibility ratio) have significant negative values. It means employment effect of profit rate are becoming higher(lower) as intangibility ratio is at the lower(higher) level; profits rate and intangibility are not complement with each other. The results imply that to boost employment industrial policy which has the capacity to coordinate business intangibility is preferred to expansionary demand policy.