• Title/Summary/Keyword: Support Decision Making

Search Result 1,439, Processing Time 0.026 seconds

Post-Crisis Behavior of Banks in Asia: A Case of Chronic Over-Capitalization

  • MOHAMMAD, Khalil Ullah;MUHAMMAD, Affan;MUHAMMAD, Kaleem Ullah
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.8 no.3
    • /
    • pp.517-525
    • /
    • 2021
  • The study investigates the behavior of Asian banks in response to the subprime mortgage crisis and examines how countries that have experimented with a mix of conventional and Islamic banking managed their balance sheet during that period. The study carries out an independent mean t-test comparing the difference of leverage of 464 conventional commercial Asian banks pre- and post-crisis from the largest twenty-five Asian economies based on GDP (2007). The analysis uses 10-year unbalanced panel data of conventional banks and employs the generalized least squares estimation using a dummy variable event window method to capture the response of Asian banks. The study finds evidence of a structural change in the capital structure of Asian commercial banks in response to the financial crisis. Findings suggest that conventional banks increased their capital position more in countries that have both Islamic and conventional banking than those countries without Islamic banking services. By having Islamic banking in their product portfolio, countries can exert market discipline on conventional banks. The study identifies a significant role of global macroeconomic shocks on banks liability structure decision-making. Evidence shows that this increase in capital positioning by banks was a permanent rather than a temporary response.

A System Dynamics Model for Evaluation of Maintenance Cost Policy in Deteriorated School Building (노후 학교건물의 유지관리비용 정책 평가를 위한 시스템 다이내믹스 모델)

  • Kang, Suhyun;Kim, Sangyong
    • Journal of the Architectural Institute of Korea Structure & Construction
    • /
    • v.35 no.12
    • /
    • pp.181-188
    • /
    • 2019
  • The maintenance of school building is pivotal issue. However, it is difficult to obtain basic analysis data for LCC(Lifecycle Cost) analysis and maintenance planning of school building. Therefore, this study proposed System Dynamics(SD) techniques to make maintenance decisions for school building. The interaction between the major parameters related to the aging of a building, maintenance activities, and cost were expressed in Causal Loop Diagram. Based on this, the formula for the relationship between causal maps was defined and converted to Stock and Flow Diagram. Through the completed SD model the 50-year plan of 214 educational building were tested by considered in account budget, maintainability, and budget allocation opinions. As a result, the integrated SD model demonstrated that it can support strategic decision making by identifying the status class and LCC behavior of school buildings by scenario. According to the scenario analysis, the rehabilitation action of preventive maintenance that primarily repairs the buildings in condition grade C showed the best performance improvement effect relative to the cost. Therefore, if the proposed SD model is expanded to consider the effects of other educational policies, the crucial performance improvement budget can be estimated in the long-term perspective.

The Effects of Strategic Planning, Human Resource and Asset Management on Economic Productivity: A Case Study in Indonesia

  • SARA, I. Made;SAPUTRA, Komang Adi Kurniawan;UTAMA, I Wayan Kartika Jaya
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.8 no.4
    • /
    • pp.381-389
    • /
    • 2021
  • This study aims to examine the effect of strategic planning, human resource management, and asset management on increasing the productivity of the rural economy. This research is a quantitative approach. The research sample was carried out by simple random sampling and data collection using a questionnaire so that 129 respondents were determined. The research test was conducted using multiple linear regression with the OLS (Ordinary Least Square model. The results obtained were that strategic planning, human resource management, and asset management had a significant positive effect on increasing the productivity of the rural economy. This shows that strategic planning is the most important thing in industry, companies, or organizations as a guideline to achieve optimal performance. In addition, human resource management and asset management are positive supports for increasing the economic productivity of rural communities to achieve welfare goals. This research proves that strategic planning must be carried out by considering the existing potential, both sources. natural resources, human resources, and economic resources Meanwhile, human resource management and asset management are mandatory to support the sustainability of an organization or company so that the benefits of the study as study material in strategic decision making, both in business and public policy.

Study of Integrated Production-Distribution Planning Using Simulation and Genetic Algorithm in Supply Chain Network (공급사슬네트워크에서 시뮬레이션과 유전알고리즘을 이용한 통합생산분배계획에 대한 연구)

  • Lim, Seok-Jin
    • Journal of the Korea Safety Management & Science
    • /
    • v.22 no.4
    • /
    • pp.65-74
    • /
    • 2020
  • Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.

A Study on the Route Selection Method for Demand Response Transport (DRT) Replacement for Bus Services in Vulnerable Areas - Focused on Region Vulnerable to Public Transportation of GyeongSangNam-Do in Korea - (벽지노선 대체형 수요응답형교통(DRT) 노선 선정 방안에 관한 연구 - 경상남도 대중교통 열악지역을 대상으로 -)

  • Park, Ki-Jun;Song, Ki-Wook;Jung, Hun-Young
    • Journal of Korea Planning Association
    • /
    • v.54 no.4
    • /
    • pp.71-78
    • /
    • 2019
  • Due to the rapid pace of low fertility and aging of Korea, population decline is rapidly progressing in the outskirts of the province and county. Demand for public transport is decreasing due to suburban population declines, while local government funding for maintenance of the bus system is expected to increase gradually. The government and municipalities are promoting the introduction of Demand Responsive Transport (DRT) in order to reduce the burden of financial support for buses while enhancing mobility of the residents in vulnerable areas. However, most DRTs in Korea have been operated mainly in the areas that are not provided with public transportation services. Although DRT is able to reduce the financial burden of local governments, it is not easy to be introduced because of the objection of the existing bus users. In this study, 11 out of 61 towns with poor public transportation services in Gyeongsangnam-Do were selected for the introduction of DRT to replace bus services by using village characteristics. The results of this study are expected to be used as a basis for decision making to use DRT instead of bus service for the burden of bus financing for local governments.

Resumption of School Face-to-Face Classes and Analysis of Secondary Infected Persons in COVID 19 : Applying the Monte-Carlo Method (학교 대면 수업 재개와 2차 감염자 분석 : 몬테카를로 기법 적용을 중심으로)

  • Cho, Sang-Sup;Chae, Dong-Woo;Lim, Seung-Joo
    • Journal of Information Technology Applications and Management
    • /
    • v.28 no.1
    • /
    • pp.33-41
    • /
    • 2021
  • In this study, we estimated the number of secondary COVID-19 infections caused by students with potential transmission potential home. When the existing Monte Carlo method was applied to Korean data, the average number of household members of the second COVID-19 infected was predicted. The summary of this study is as follows. First, in general, the number of secondary infections by students returning home from school is greatly influenced by the virus infection rate of each student group they contact while returning home from school. Korea-based empirical research on this is needed. Second, the number of secondary infections by Korean students was relatively lower than that of previous studies. This can be interpreted as being due to the domestic furniture structure. Third, unlike previous studies that assumed the distribution of secondary infected individuals as normal distribution, assuming a negative binomial distribution, the number of secondary infected individuals was sensitively changed according to the estimated parameters. Interpretation of this result shows that the number of secondary infections may vary depending on the time of decision making, the target region, and the target student group. Finally, according to the results of this analysis, a proposal was made to support education policy decisions.

A Study on the Development of a Rapid Safety Assessment System for Buildings Using Seismic Accelerometers (지진가속도 계측기를 이용한 건축물의 긴급 안전성 평가 알고리즘 개발에 대한 연구)

  • Jeong, Seong-Hoon;Jang, Won-Seok;Park, Byung-Chul
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.24 no.6
    • /
    • pp.161-170
    • /
    • 2020
  • In this study, develop the seismic acceleration measurement data conversion and signal processing algorithms for improve the operational efficiency of the seismic acceleration measurement system installed for public facilities. Through the analysis of the seismic acceleration time history data, the evaluation methods and criteria and evaluating the safety of buildings were proposed. The system was applied to the test bed building to verify its operation and usability. It is expected to be used as a decision making support data and determining the direction and priority of disaster response in the event of an earthquake.

A Study on Improvement of Level of Highway Maintenance Service Using Self-Organizing Map Neural Network (자기조직화 신경망을 이용한 고속도로 유지관리 서비스 등급 개선에 대한 연구)

  • Shin, Duksoon;Park, Sungbum
    • Journal of Information Technology Services
    • /
    • v.20 no.1
    • /
    • pp.81-92
    • /
    • 2021
  • As the degree of economic development of society increases, the maintenance issues on the existing social overhead capital becomes essential. Accordingly, the adaptation of the concept of Level of service in highway maintenance is indispensable. It is also crucial to manage and perform the service level such as road assets to provide universal services to users. In this regards, the purpose of this study is to improve the maintenance service rating model and to focus on the assessment items and weights among the improvements. Particularly, in determining weights, an Analytic Hierarchy Process (AHP) is performed based on the survey response results. After then, this study conducts unsupervised neural network models such as Self-Organizing Map (SOM) and Davies-Bouldin (DB) Index to divide proper sub-groups and determine priorities. This paper identifies similar cases by grouping the results of the responses based on the similarity of the survey responses. This can effectively support decision making in general situations where many evaluation factors need to be considered at once, resulting in reasonable policy decisions. It is the process of using advanced technology to find optimized management methods for maintenance.

Concept Analysis of Parents' Treatment Adherence for an Epileptic Child or Adolescent (뇌전증 아동·청소년 부모의 치료이행 개념분석)

  • Lee, Juna;Yoon, Ju Young
    • Research in Community and Public Health Nursing
    • /
    • v.32 no.2
    • /
    • pp.205-219
    • /
    • 2021
  • Purpose: This concept analysis was conducted to clarify 'parents' treatment adherence for an epileptic child or adolescent'. Methods: The analysis used a hybrid model comprising three phases: theoretical phase, fieldwork phase, and integration phase. In the theoretical phase, fifty studies were reviewed. Interviews with four parents of epileptic children or adolescents were conducted during the fieldwork phase. In the integration phase, the results derived from prior phases were synthesized and clarified. All phases were performed cyclically. Results: The concept, 'parents' treatment adherence for an epileptic child or adolescent' was defined as parents' voluntary and goal-directed behavior towards the epilepsy treatment for their children: a collaborative decision-making process with health-care providers, establishing a support system, adaptability to the treatment plans, and appraisals of the child's health condition. Conclusion: This achievement is thought to contribute to improving the accuracy and validity of the concept measurement. It has implications for additional research on how the concept 'treatment adherence' differs in diverse health problems and other population groups than parents of children and adolescents with epilepsy.

Uncertainty, Corporate Investment and the Role of Conservative Financial Reporting: Empirical Evidence from Pakistan

  • FATIMA, Huma;RANA, Sahar Latif;HAFEEZ, Abida
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.9 no.6
    • /
    • pp.231-243
    • /
    • 2022
  • The objective of this study is to analyze the impact of conservative financial reporting on investment during uncertainty. It was assumed that during uncertainty conservative financial reporting can play an important role to improve investment decision-making. For our analysis, data sets from 2005-2020 of nonfinancial companies are used. To measure the impact of conservative financial reporting in the non-financial sector of Pakistan, Khan and Watts' (2009) model is applied. "Prospector" and "Defender" Business strategy is applied for measuring firm-level uncertainty. Investment is measured by adding the change in fixed assets (property, plant, and equipment). To check the robustness of conservative financial reporting, Givoly and Hayn's (2000) Negative Accruals measure is applied. To measure the robustness of uncertainty, environmental scanning and alertness technique is applied. According to environmental scanning and alertness technique, companies are divided into two groups named 'inert' and 'alert'. 'Inert' are those firms that are not scanning their environment, and 'alert' are those firms who continuously analyze their environment. The empirical estimations support our hypothesis. The empirical findings provide the proof that in the wake of uncertainty conservative financial reporting may facilitate to take optimal investment decisions in the developing economy of Pakistan. Our results provide critical and practical implications for investors, researchers, and standard setters.