Social welfare centers and residential care facilities where provide the socially disadvantaged with proper social services, face financial difficulties. This is because not only of the lack of governmental support, but also of social welfare centers and residential care facilities' lack of skills in developing abundant resources from the private sector. In this context, this study tried to find factors affecting resource mobilization of the social welfare facilities to devise policies in resource development. Mail survey was conducted with the structured questionnaire. Employees in charge of community resource development were asked to answer the questionnaire. The study population were welfare centers and residential care facilities. A total of 293 community welfare centers and 632 residential care facilities responded to the survey. The response rate was about 62%. The dependent variables of the study were the amount of resource mobilization in the year 2001 which was measured as the number of donors, the total amount of donation, and estimated amount of gift-in-kind. Three types models were constructed per each welfare institution. Independent variables were selected based on the previous research findings: community environment factor, structural factor, and resource development factor. Multiple regression was utilized to analyze the data. The resource development factor turned out to be significant variable in various models. In the models of donors, the amount of donation, and the amount of gift-in-kind (except for the welfare center model), at least one out of six variables of the resource development factors was significant welfare center. Welfare centers which establish the resource development department or hire employees to take care of resource development, utilize computer softwares to file donors, and utilize donor management programs, have more donors and/or donations than their counterparts. In addition, residential care facilities located in urban area have more donors and donations, and among residential facilities those for the disables, those with longer history and more employees, receive more donations than their counterparts. As for the gift-in-kind model, the welfare centers located in high income area and residential care facilities for the elderly, children and mentally retarded receive less gift-in-kind than their counterparts Based on the above findings, this study suggested that to mobilize resources the welfare centers as well residential care facilities need to have community resource development department or resource development staffs, adopt computer software to systematically organize donors, and utilize donor mobilizing and maintaining programs.
Proceedings of the Korean Institute Of Construction Engineering and Management
/
autumn
/
pp.35-41
/
2002
This research introduces the development of a project-level cash flow forecasting model in construction stage based on the planned earned value and the cost from a general contractors view on a jobsite. Most previous models have been developed to assist contractors in their pre-tendering or planning stage cash flow forecasts. The critical key to cash flow forecasting at the project level is how to build a cash-out model. The basic concept is to use moving weights of cost categories in a budget over project duration. The cost categories are classified to compile resources with almost the same time lags that are based on contracting payment conditions and credit times given by suppliers or venders. For cash-in, net planned monthly-earned values are simply transferred to the cash-in forecast, to be applied there with billing time and retention money. Validation of the model involves applying data from on-going 4 projects in progress for 12 months. Based on the results of the comparative analyses through the simulation of the proposed model and the existing models, the proposed model is more accurate, flexible and simpler than traditional models to the employee of construction jobsite who is not oriented financial knowledge.
The trend of "Blockbuster Exhibitions" over the past decade has led to the unfortunate reality that museums, losing sight of their role as an Academic organization, are becoming increasingly influenced by the corporate world. In my dissertation entitled "The Commercialization of Blockbuster Exhibitions in Museums," I explore the modern tendency toward Blockbuster exhibitions in art museums and the negative impact of those exhibitions on the art world. Museums of the modern day have expanded their territory from the traditional venue of public education to the hybrid cultural space. This mission, evident in the museum's attempt to satisfy audiences with the offering of diverse activities, has changed the concept of the museum, giving priority to the desire for financial gain. From the viewpoint of this new museology, the museum considers Blockbuster exhibitions as the safest method to increase ticket sales. As a program that openly reveals the commercialism of the museum, I explore the Blockbuster show and its strategies as a means of exposing the influence of the corporate world on art. A key component to the Blockbuster exhibition is the "hype" that is created to attract an audience. This devotion to increased publicity distracts from what should be the goal of public education, as the primary focus leans towards the desire for a large number of visitors. Consequently, this unavoidably standardized exhibition is presented to the public in a manner that deprives the audience of a unique experience. With large crowds and increased ticket prices, it is difficult to form a genuine appreciation of the artwork. In addition to the profit gained by increased ticket prices and the commercial sales of "souvenirs" from the museum gift shop, Blockbuster shows are used as a means to attract the attention of corporate sponsors. As explained in my dissertation, the importance that the museum places on corporate sponsorship as a capital resource is evident, however the degree to which the museum allows itself to he influenced by the desire for capital gain poses a threat to its function as an academic organization. Circumstances in American museum history, in particular, have influenced the transition from academic resource to corporation within museology. In keeping with the nation's tendency towards capitalism, art museums in the United States were initially established and developed by individual capitalists who applied principals of corporate operation to museum management. As a result, in modern days, We witness the influence of enterprise on museum programs, while corporate management may be able to guarantee immediate fiscal benefits, however, it is unable insure the future of the museum. In Slim, my dissertation discusses the mechanism of the commercialized "Blockbuster Exhibition" and the impact that it has on the future of the museum as an industry. This research provides an opportunity to reconsider the role of the museum as an academic institution, particularly in regard to the need to decrease the capitalization of exhibitions and refocus their influence on the art world as an educational resource.
This study is to evaluate member fisheries cooperatives' self-effort for managerial improvement qualitatively and quantitatively. The impaired member cooperatives' got grant from National Federations of Fisheries Cooperatives for managerial improvement for 2003~2004 with establishment of MOU. This MOU describes a self-effort of memebr cooperatives' required fulfillment items for managerial improvement. From the various level of analyses, we conclude that per capita total return or ROA has direct and positive effect on the improvement of net capital ratio or profit ratio. However, other MOU items like human resource management or an investment increment did not have a correlation with it. In addition, an aggregate financial indicator, such as ROA, seems to have a positive effect on the improvement of net capital ratio or profit ratio for the group of well restructured member cooperatives, but does not for the bad performance group. This is because the good performance has leads to the improvement of net capital ratio for the well-restructured member cooperatives since there is little chance to have additional weakness. From this study we can check the proper selection of MOU items should be based on the analysis of its effect on the managerial improvement.
The Journal of Asian Finance, Economics and Business
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v.7
no.6
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pp.485-494
/
2020
The study aims to identify and measure factors affecting the salaries of employees in manufacturing enterprises in Hanoi, the important area of Vietnam's economy. We conducted a questionnaire consisting of 31 observation variables with a 5-point Likert scale. Independent variables were measured from 1 "without effect" to 5 "strongly". Based on the literature review and results of interviews, a total of 350 questionnaires were sent to participants; 300 of them met the standards and were subject to be analyzed. The results of Exploratory Factor Analysis (EFA) and Multiple Regression Analysis (MRA) identify six main determinants influencing the salaries of employees in manufacturing enterprises in Hanoi, including Paying views of business leaders (PV), Financial ability of the enterprise (FA), Capacity of workers (CW), Capacity of the contingent of employees engaged in salary work (CC), Role of grassroots trade unions (TU), and State policies and laws on labor - salaries (STL). Based on the findings, some recommendations have been proposed to help the firm leaders design appropriate personnel policies for creating better job satisfactions for employees in the future. On this basis, the authors propose a number of recommendations to improve the salaries of employees in manufacturing enterprises in Hanoi.
Faced with tougher competition in global, organizations are pressured to improve organizational productivity, including information systems(IS) departments. Especially related to IS, trying to remain competitive and up-to-date in rapidly changing world is becoming a financial burden to many organizations. Through outsourcing, organizations can provide better services and acquire and maintain a competitive advantage. In recent years IS outsourcing related researches have appeared in trade and academic literature. However the research on accounting information systems(AIS) outsourcing is very little or limited. This study attempts to empirically test the relationship between determinant factors and the degree of accounting information systems outsourcing as well as the relationship between success factors and the interactions between the degree of accounting information systems outsourcing and outsourcing success. Based on the previous studies on IS outsourcing and its related theories, determinant factors(transaction characteristic, resource performance, and risk dependence) and success factors(monitor, participation, and vendor capability) were identified and their measures were developed. Empirical results demonstrate that the change in the degree of AIS outsourcing is determined by the specificity of accounting information asset, uncertainty, the effect of internal AIS, AIS cost-effectiveness, and cost increase risks, and that monitor and vendor capability are implementation factors determining the degree of outsourcing success.
Journal of Korean Institute of Industrial Engineers
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v.39
no.1
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pp.30-45
/
2013
Predicting monthly electricity price has been a significant factor of decision-making for plant resource management, fuel purchase plan, plans to plant, operating plan budget, and so on. In this paper, we propose a sophisticated prediction model in terms of the technique of modeling and the variety of the collected variables. The proposed model hybridizes the semi-supervised learning and the artificial neural network algorithms. The former is the most recent and a spotlighted algorithm in data mining and machine learning fields, and the latter is known as one of the well-established algorithms in the fields. Diverse economic/financial indexes such as the crude oil prices, LNG prices, exchange rates, composite indexes of representative global stock markets, etc. are collected and used for the semi-supervised learning which predicts the up-down movement of the price. Whereas various climatic indexes such as temperature, rainfall, sunlight, air pressure, etc, are used for the artificial neural network which predicts the real-values of the price. The resulting values are hybridized in the proposed model. The excellency of the model was empirically verified with the monthly data of electricity price provided by the Korea Energy Economics Institute.
Kim, Dae-Seok;Lee, Kyung-Ho;Lee, Jang-Hyun;Lee, Jung-Min;Lee, Kwang;Kim, Jin-Ho
Korean Journal of Computational Design and Engineering
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v.16
no.3
/
pp.187-196
/
2011
Generally, BOM (Bill of Material) means a part list which is needed to manufacture or assemble a product or part. During manufacturing processes, BOM is inevitably required for most of enterprise processes such as design, procurement, production planning/control, resource planning, and financial works. Every manufacturing industry uses many kinds of BOM's that are adjusted to the requirement of functions of their work division. Moreover, BOM evolves in different forms according to the product development phases such as conceptual design; function design, detail design, and production design because it is necessary to use different product structures to keep product data generated throughout the lifecycle of a product. This includes all data and information related to the all the product development phases. Shipbuilding works also are processed and controlled based on BOM. However, effective maintenance of ship outfitting BOM data is getting difficult as the amount and complexity of data have increased due to variety and long lifecycle of ship. For the effective management of outfitting BOM data, two aspects must be considered. One is how to classify numerous BOMs type and the others how to display BOMs. So this study suggests a method to classify BOM types and propose two categories - Structure BOM, Display BOM. Base on this result, we propose the integrated ship outfitting BOMs model and analysis outfitting BOMs.
The purpose of this study is to investigate the allocation criteria types in transferring economic resources to adult children from the adult-childhood of children to parent's death based on theoretical backgrounds. The research results can be summarized as follows: 1) The mean of allocation criterion of exchange was the highest, the next was the criterion of compensation, and the criterion related birth factors was the lowest. 2) Allocation criteria dimensions of economic resources transfers composed of compensation, exchange, and birth factors were classified into 4 types: $\circled1$ the type that parents transfer to compensate economic status of children, $\circled2$ the type that parents transfer more resources to children who take more care of their parents, $\circled3$ the type that parents transfer more resources to primogeniture or sons, $\circled4$ the mixed type that uses the exchange criterion, the compensation criterion, and the criterion related birth factors. 3) The variables which have significance on the types of allocation criteria were age, the number of children, and marital status. The results of the study suggests the implications of income redistribution policy, financial resource management and saving products development, and the law to motivate care of parents.
With the effectuation of United Nations Framework Convention on Climate Change(UNFCCC) and Kyoto Protocol in 2005, ever growing concern on the importance of overseas forestation is diffusing worldwide. However, fierce international competition to secure overseas forestation sites, inherent uncertainty in UNFCCC or overseas forestation projects, and imbalances among policies on overseas natural resources development make it difficult to realize Korean long-term overseas forestation objective to secure 1 million ha by 2050. In view of necessity of overseas forestation projects for sustainable forest management and securing sinks of carbon to mitigate climate change, various efforts to reform current Korean overseas forestation systems are required. This study suggests several alternatives to improve current Korean overseas forestation systems including expanding financial support for overseas forestation projects, cultivating overseas forestation experts, establishing official organization for overseas forestation, constructing effective support system for overseas forestation projects, fostering international cooperation in the field of forest resources, and so on. Many theoretical, empirical or policy-oriented studies on the influences of UNFCCC and countermeasures on it in various Korean industries should follow this study.
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