• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6878-6887
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• 2015

This study applies regression analysis and propensity score matching to analyze the agglomeration economies which the characteristics of tenancy affect the performance of the manufacturing industry based on industrial parks. The estimation main data are from Kis-Value, KIPRIS and FEMIS. The results show that the industrial park tenancy tends to work positively on the management performances. But there is no evidence that on-Park firms in the metropolitan areas(Gyeonggi-do) have higher management and innovative performances than the comparable firms. The firms that have lived for a long time in the industrial parks, are good in total sales, however, they have no significant efficiency in net profit, operating profit, and patents. The firms, having several branches of the industrial parks, have lower operating profit than others. Long-term and multiple tenant firms do not learn over time nor do they establish better linkages and networks.

• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.373-381
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• 2011

This study focused on investigating factors of partnership formation for transactional enterprises on supply chain to form a transactional relationship centering around textile industry in Daegu and Gyeongbuk. The study also investigated the effect of the factors of partnership formation for mutual cooperation among textile manufacturers in Daegu and Gyeongbuk on partnership outcomes, and finally provided basic information that help enterprises form efficient partnership relationships with related manufacturers. The sample of the study was manufacturers of yarn, dyeing, weaving, process and fabrics in Daegu and Gyeongbuk that are registered on Korea Federation of Textile Industries. The total of 81 responses were used for data analyses, and factor analyses, regression analyses, and ANOVA were utilized appling SPSS 14.0 Package. The results of the research were as follows: First, among partnership formation factors mutual confidence was highly related to presentation of exclusive technological information, efforts to keep relationships between enterprises, presentation of information, and transactions between reliable enterprises that were formed despite of any losses. Second, it was also important that enterprises exchange and communicate their business goals with partners by having common goals. Third, it was also important that problems and damages were informed to and were shared with transaction companies. If conflicts between enterprises occurred, they can be smoothly solved based on the partnership formation. Fourth, enterprises form partnerships with transaction companies by considering their operation abilities. Fifth, transactions with enterprises which are mutually reliable and have superior technology and information contributed a lot to economic outcome. Lastly, the study revealed that among partnership formation factors mutual confidence to transaction companies influenced outcome of mutual confidence profit creation, outcome of technology & information efficiency were closely related to the ability to solve generated problem, and an important factor of the outcome of technology & information profit creation was communication.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.475-487
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• 2015

This study measures the managerial efficiency of Korea's 14 public enterprises using bootstrap DEA in 2013. In addition, it examines the factors that affect on the bootstrap bias-corrected efficiency using truncated regression analysis. The results and implications of this study are as follows. First, using bootstrap DEA model analysis, the results showed that the mean technical efficiency was 0.3182, the mean pure technical efficiency was 0.4994 and the mean scale efficiency was 0.6585. The main cause of technical inefficiency was due to pure technical inefficiency. Second, rank test between technical efficiency of general DEA model and bootstrap DEA model was no significant difference under CRS and VRS assumption. Third, the main cause of the inefficiency in 11 DMUs among 14 DMUs were mainly due to the pure technology and three DMUs were because of the scale efficiency. Finally, in the truncated regression analysis, cost of labor, profit, sales, return of equity, and the number of employees appeared as factors affecting the scale efficiency at the 10% significance level.

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.11-30
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• 2008

The purpose of this study is to develop BSC model of social enterprise. Performance analysis tool of BSC have been brought over from the business world, designed and created from the perspectives of profit-based businesses. The BSC is a strategic performance measurement and management tool designed for the private sector acting as a communication/information and learning system, to measure 'where we are now' and 'where to aim for next'. It prescribes a plan for translating 'vision' and 'strategy' into concrete action across four perspectives at different stages, depending on the business. These perspectives are 'financial', 'customer', 'internal processes' and 'learning and growth', each of which is connected by cause-and-effect relationships that reflect the firm's strategy. Social aims of social enterprise are to accomplish desired outcomes which are to employ vulnerable people and to provide social services. The measurement factors of financial perspective are stable funding, efficiency of budgeting, stakeholders' financial supports, and trade profit. The measurement factors of customer perspective are government, social service users, employees, local communities, sup plier, social activity company, and partnership with external organizations. The measurement factors of internal process perspective are organizational culture, organizational structure/management, internal/external communication, quality of products and services, information sharing. The measurement factors of learning and growth perspective are training and development, management participation, knowledge sharing, leadership of CEO and manager, and learning culture.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.506-516
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• 2005

This paper deals with an investment scheduling problem of maximizing net present value of dividend with reinvestment allowed, where each investment has certain capital requirement and generates deterministic profit. Such deterministic profit is calculated at completion of each investment and then allocated into two parts, including dividend and reinvestment, at each predetermined reinvestment time point. The objective is to make optimal scheduling of investments over a fixed planning horizon which maximizes total sum of the net present values of dividends subject to investment precedence relations and capital limit but with reinvestment allowed. In the analysis, the scheduling problem is transformed to a kind of parallel machine scheduling problem and formulated as an integer programming which is proven to be NP-complete. Thereupon, a depth-first branch-and-bound algorithm is derived. To test the effectiveness and efficiency of the derived algorithm, computational experiments are performed with some numerical instances. The experimental results show that the algorithm solves the problem relatively faster than the commercial software package (CPLEX 8.1), and optimally solves the instances with up to 30 investments within a reasonable time limit.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.9
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• pp.1326-1330
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• 2001

This study analyzed the lowest production cost and the greatest profit to be obtained from marketing hogs to determine the optimal operation scale for family-owned farrow-to-finish farms. Data were collected from 39 farrow-to-finish farms with 500 to 5,000 inventories for two consecutive years, and treated with GLM and quadratic regression models using the REG procedure. Analysis results indicated that farms capable of marketing 2,933 and 3,286 hogs annually had the lowest production cost and the greatest profit, respectively. Further analysis attributed the lowest production cost or the highest return in farms with an optimal scale of 3,000 to a higher survival rate of the herd, as well as lower expenses in veterinary medicine, labor, utilities and fuel, transportation, and depreciation. A similar feed conversion efficiency was observed for all the farms studied. Obviously, the cost efficiencies were associated with the economy of the operation scale of hog production until it reached 3,000 hogs marketed annually for a family-run unit. Beyond the optimal scale of 3,000 hogs, good stockmanship was more difficult to maintain and the herd management deteriorated as increasing mortality confirms. It is conclude that, unless advanced management is applied, the operation scale should not expand beyond 3,000 hogs.

• Journal of Electrical Engineering and Technology
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• v.5 no.4
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• pp.530-537
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• 2010

By development of renewable energy and more efficient facilities in an increasingly deregulated electricity market, the operation cost of distributed generation (DG) is becoming more competitive. International environmental regulations of the leaking carbon become effective to reinforce global efforts for a low-carbon paradigm. Through increased DG, operators of DG are able to supply electric power to customers who are connected directly to DG as well as loads that are connected to entire network. In this situation, a community energy system (CES) with DGs is a new participant in the energy market. DG's purchase price from the market is different from the DG's sales price to the market due to transmission service charges and other costs. Therefore, CES who owns DGs has to control the produced electric power per hourly period in order to maximize profit. Considering the international environment regulations, CE will be an important element to decide the marginal cost of generators as well as the classified fuel unit cost and unit's efficiency. This paper introduces the optimal operation of CES's DG connected to the distribution network considering CE. The purpose of optimization is to maximize the profit of CES. A Particle Swarm Optimization (PSO) will be used to solve this complicated problem. The optimal operation of DG represented in this paper would guide CES and system operators in determining the decision making criteria.

• Culinary science and hospitality research
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• v.11 no.3 s.26
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• pp.151-165
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• 2005

The current study aims to help field managers of companies providing foodservice for institutions to establish the more appropriate cost management strategy by analyzing the cost structure of foodservice center in institutions by operating types and the number of people served. From the result analyzing 161 foodservice centers, the number of factories was highest with 39.8% while offices 26.7%, schools 20.5%, and hospitals 13%. In terms of the number of people served, below 500 persons was 27.6%, 501${\sim}$l,000 persons was 23.9%, 1,001${\sim}$2,000 persons was 22.7%, and over 2,001 persons was 25%. In the demographic characteristics of managers, women occupied over 92%. The reason for this is usually dieticians perform management duties. For the age of workers, 70.8% were older than 40s, which ran become the cause of a rise in cost by causing the decrease of productivity by aging. Therefore, appropriate countermeasures are required. In case of workers in production, women occupy 962 persons (82.2%) rating absolute majority like mangers. This is because cooks are in charge of almost every producing activity of meal facilities. In addition, more than 72.9% of workers in production were over 40 years old, which requires diversified studies to promote efficiency of production associated with the aging problem. In proportion of sales compared with cost material cost presented the highest percentage with 54.5% while labor cost 28.3%, general expenses 9.6% and business profit 7.6%.

• ETRI Journal
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• v.34 no.3
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• pp.341-351
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• 2012

We deal with a resource allocation problem for multimedia service discrimination in wireless networks. We assume that a service provider allocates network resources to users who can choose and access one of the discriminated services. To express the rational service selection of users, the utility function of users is devised to reflect both service quality and cost. Regarding the utility function of a service provider, total profit and efficiency of resource usage have been considered. The proposed service discrimination framework is composed of two game models. An outer model is a repeated Stackelberg game between a service provider and a user group, while an inner model is a service selection game among users, which is solved by adopting the Kalai-Smorodinsky bargaining solution. Through simulation experiments, we compare the proposed framework with existing resource allocation methods according to user cost sensitivity. The proposed framework performed better than existing frameworks in terms of total profit and fairness.

• Journal of Agricultural Extension & Community Development
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• v.18 no.3
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• pp.665-691
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• 2011

The implementation of an place-based rural policy requires changes in the intra-governmental relations and between the public and private sectors and civil society. Over the past decades, Japan has been increasingly devolving and decentralizing public responsibilities and resources to sub-national government levels. There is assumption that such transfers produce more efficiency in terms of public management and create better conditions for economic development. At the same time, these transfer respond to new expectations of citizens and civil society to participate more closely in the democratic decision-making process. Coordination is also needed at the local level to integrate sectoral approaches, to involve private partners and to achieve the appropriate geographic scale. Local public and private actors join a partnership and pool knowledge and resources. This type of local partnership is characterized by the participation of different actors, including municipalities, sub-regional government institution and development agencies. The participation of private actors(private firms, cooperatives, associations, non-profit organizations, farm organizations, other categories organizations, etc,) is also important.