With regard to the development of new drugs, what is most important for a Korean Biotech, where no global sales network has been established, is decision-making related to out-licensing of new drugs. The probability of success for each clinical phase is different, and the licensing amount and its royalty vary depending on which clinical phase the licensing contract is made. Due to the nature of such a licensing contract and Biotech's weak financial status, it is a very important decision-making issue for a Biotech to determine when to license out to a Big Pharma. This study defined a model called 'optimal timing for out-licensing of new drugs' and the results were derived from the decision tree analysis. As a case study, we applied to a Biotech in Korea, which is conducting FDA global clinical trials for a first-in-class new drug. Assuming that the market size and expected market penetration rate of the target disease are known, it has been shown that out-licensing after phase 1 or phase 2 of clinical trials is a best alternative that maximizes Biotech's profits. This study can provide a conceptual framework for the use of management science methodologies in pharmaceutical fields, thus laying the foundation for knowledge and research on out-licensing of new drugs.
Korean Journal of Construction Engineering and Management
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v.13
no.5
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pp.25-34
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2012
It has been five years since the Post-Construction Sale System of Housing was introduced. The purpose of this study is to identify objectives and effects of the Post-Construction Sale System of Housing and analyze change of profitability at different sales time from a supplier's point of view. Apartment buildings construction projects performed in Seoul are used for the case study. The present value of sales revenues, sensitivity and the present value of expected sales prices are analyzed. According to the findings, first, profits made from a Pre-construction sales system was 5.1%~6.2% higher than those from a Post-construction sales system. Among four plans of a Pre-construction sales system (A, B, C and D plan), sales revenue from the A plan, which takes a deposit at the time of starting construction, was the greatest. Second, increase of the rate of discount and decrease of sales revenues are in direct proportion. The bigger rate of discount leads actual reduction of sales revenues. Third, for the present value of sales revenues reflecting change in basic model construction cost, a Pre-construction sales system showed a little higher than that of a Post-construction sales system by approximately 2%. It should be known that this study suggests profitability of Pre-and Post-construction sales system by clearly measuring them in the supplier's point of view and calculates sales revenues, considering change of a sale price following change of sales time.
Journal of the Korea Society of Computer and Information
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v.25
no.2
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pp.221-229
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2020
As the cosmetics beauty industry grows into a key next-generation industry, the establishment of an industrialization center is needed, but failure to verify the adequacy and feasibility of the investment could lead to financial burdens. In this study, the project costs and facilities of an industrial center are reviewed to analyze its economic feasibility based on the cost estimates, revenue estimates, estimated profit or loss calculations, and estimated operating cash flows. The profit estimation criteria were analyzed by applying 90 per cent of expected orders for research projects (24 billion won) and 12 per cent of rental rates for testing equipment (4.5 billion won for construction), and the benefit/cost ratio is higher than 1.02 per cent and the net present value is higher than '0' won, and the internal rate of return is also more than 5.06 per cent for all three analytical methods. Therefore, in order for the construction of a cosmetics beauty industrialization center to be economically feasible, it is necessary to maintain research project orders of more than 90 percent and return on equipment rent of more than 12 percent, and a strategic approach is needed to diversify business profits.
Maritime industry is recognized as a new value-adding and growth engine industry. It provides high value by creating clusters centering on ports. Advanced international ports are also clashing ahead to create clusters, boost profits, and strengthen competitiveness. The Korean government enacted policies for the establishment and upbringing of maritime industrial clusters in 2015. It is very important to understand which maritime industry has a comparative advantage in each region and to establish an integration strategy through maritime industrial clusters. This study analyzes the structure of the maritime industry in the Chungnam province, which is expected to deal with raw materials(mainly oil products), container throughput, and opening of ferry route with China's port. The study analyzed the existing literature on the maritime industry and classified the industry into 5 major categories, 21 sub-categories, and 84 sub-categories in shipping and logistics, shipbuilding, fishery, marine tourism industry, and other industries. Based on the reclassified maritime industry, the structure of the maritime industry in the Chungnam province was analyzed by using location quotient(LQ) and Shift-Share analysis. The study found that the fisheries industry showed the highest value(1.718) in the analysis of LQ, followed by the marine tourism industry(1.092), shipbuilding industry(0.823) and shipping and logistics industry(0.789). The total effect of the maritime industry in Chungnam province was 36,315 and the net growth effect, excluding the national growth effect, was estimated to be 21,321. Based on these results, we classify the maritime industry in the Chungnam province as comparative advantage and comparative disadvantage. The results of this study can be used as basic data for formulating strategies for the construction of the maritime industry cluster in the Chungnam province in the future.
The purpose of this study is to examine the differences of profitability based on the analysis of business and medical service performances of four hospitals in Incheon area with similar size. and to compare hospitals with the best and the worst performances and analyze the factors behind the differences. The differences could be caused by differences in medical service statistics, number of staff, and financial results, etc. The data was acquired through the homepage of the National Tax Service(financial statements for the fiscal year 2009) and the Medical Record Association of Incheon(medical service statistics for the years 2008 and 2009) along with questionnaire survey to the hospitals(personnel data for the year 2009). The results of the study are as follows. Medical profits to medical revenues ratio for the hospitals(referred as Hospital A, B, C, and D) shows, in order, C(8.2%), A(8.0%), B(7.8%), and D(7.4%). However, net income to medical revenues ratio shows otherwise: C(8.5%), D(5.8%), A(3.0%), and B(0.6%). Hospital B shows a high medical profit to revenue ratio but the lowest net income to revenue ratio due to large interest expenses. The leverage ratio of Hospital B is the highest (419.6%), resulting in a very low interest coverage ratio(1.1). On the other hand, Hospital C shows favorable results in both profit ratios, with 8.2% and 8.5% each. Hospital C has the lowest leverage ratio(53.0%) and the highest interest coverage ratio(34.9). Therefore, the results show Hospital C has the best performance while Hospital B the worst. The two hospitals(B and C) show similar results in certain areas and big differences in other areas. The area that has the biggest influence on financial results turns out leverage ratio. Hospital B shows 'very good' to 'good' results in terms of medical service statistics in general. However, the leverage ratio is too high and the liquidity ratio too low, resulting in a very low profit ratio. The results of this study have some limitations in terms of generalization as only four hospitals in Incheon area were selected for the study, resulting in a deficiency in the representativeness of the sample. Further studies with bigger sample size and deeper analysis are expected in this area.
System developments by components are accomplished by creating new software based on independent components having respective function. Generally, component-based software developments are expected to obtain profits caused by reuse of software, such as improvement of quality, rapid development, and efficiency of maintenance. In a component-based system, the most important goal and also key to success is to identify and construct high quality components that may increase reusability. Therefore, it is necessary for component developers to understand strong and weak points of existing component development methodologies in the aspect of identification of component, and to select the most appropriate methodology for the system to be constructed. It is also necessary for component developers to develop a new methodology enabling effective identification of independent components through modification and/or complementation of existing methodologies. The modification and complementation needs comparison and analysis of various existing methodologies. Accordingly, the this paper is to provide explanation for some widely used methodologies representing the existing component-based software development methodologies such as RUP(Rational Unified Process) of Rational company[1,9], CBD96 of Computer Associates company[2,3], UNIFACE of Compuware company[5], and UML components methodology derived from extending of the component developing method of CBD96 by Cheesman and Daniels[4]. The this paper is also to point out respective problems of the representative existing methodologies. Furthermore, component identification methodologies are compared and analyzedon the whole through this paper.
Korean Journal of Construction Engineering and Management
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v.22
no.3
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pp.79-90
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2021
In domestic public construction, disputes are increasing due to differences among stakeholders regarding contract price adjustment. In particular, the actual cost-plus fee for overhead costs due to the schedule extension cannot be agreed upon at the administrative phase, and most of them seek judicial judgment. Thus, this study aims to propose a 'sufficiently satisfactory' alternative to reach an agreement before disputes in order to minimize disputes related to the calculation of additional overhead costs. To this end, this study proposes three alternatives based on the rate method. Firstly, when calculating additional overhead costs, it is not calculated as an actual cost-plus-fee method, but as a rate compared to direct labor costs among net direct costs. Secondly, the calculated indirect labor costs are compensated for up to the legal maximum of legal limit costs such as general management costs, profits and so on. Thirdly, it reflects overhead costs increased or decreased due to change orders. Risks were analyzed by collecting expert opinions on the proposed methods and applying actual cases. Finally, as a result of investigating the level of consensus for each stakeholder, it was confirmed that all stakeholders could agree regardless of the size of the company. The result of this study is expected to as a useful tool among stakeholders in the construction fields that can be able to easily agreed upon.
In the global market competition, countries and businesses are actively engaged in technology prediction activities to maximize their profits by attempting to enter and preempting the core technology of the future. In this paper, we propose a growth model based on patent application trends to predict the time to replace a product with a promising new technology to dominate the market. Although the Fisher-Pry model that Bhargava generalized to predict the emergence of promising alternative technologies was relatively satisfactory compared to the original Fisher-Pry model, it was difficult to predict the replacement rate behavior properly due to a parameter problem. The application of the Fisher-Pry Modification Model in the form of a quadratic equation through the patent trend analysis of the optical storage system for the purpose of verifying the time alternative to the light storage technology has resulted in satisfactory verification results. It is expected that small and medium-sized companies and individual researchers will apply this model and use it more easily to predict the time to replace the market for promising replacement technologies.
With the development of the IT industry and the increase of cultural activities, the demand for works increases, and they can be used easily and conveniently in an online environment. Accordingly, copyright infringement is seriously occurring due to the ease of copying and distribution of works. Some special types of Online Service Providers (OSP) use filtering-based technology to protect copyrights, but they can easily bypass them, and there are limits to blocking all illegal works, making it increasingly difficult to protect copyrights. Recently, most of the distributors of illegal works are a certain minority, and profits are obtained by distributing illegal works through many OSP and majority ID. In this paper, we propose a profiling technique for heavy uploader, which is a major analysis target based on illegal works. Creates a feature containing information on overall illegal works and identifies major heavy uploader. Among these, clustering technology is used to identify heavy uploader that are presumed to be the same person. In addition, heavy uploaders with high priority can be analyzed through illegal work Distributor tracking and behavior analysis. In the future, it is expected that copyright damage will be minimized by identifying and blocking heavy uploader that distribute a large amount of illegal works.
Purpose: In this study, the general characteristics of subjects who spent more than a certain amount of cost for general medical examination at the general hospital health promotion center, and the characteristics of disease, family history, and lifestyle (smoking, alcohol, physical activity, oral care) significantly differed in cost expenditure. We intend to provide basic data for establishing an appropriate marketing strategy for comprehensive examination. Method: It was conducted for users who received comprehensive checkups at a health promotion center at a general hospital in Seoul. The research data collection period is for 979 people who performed comprehensive examinations from January 2019 to December 2020. In order to carry out a comprehensive examination, a questionnaire before the examination was distributed to the subjects who visited the hospital to prepare, and the investigation was conducted in a way that the subjects of the investigation directly filled in. Results: There was a significant influence on the difference in expenditure for comprehensive examination according to the gender, age, and type of health insurance of the subject. In addition, there were significant differences in expenditure according to the presence or absence of disease and the type of family history. Weight loss, smoking history, smoking period, smoking frequency, drinking history, and drinking frequency all had significant effects on cost expenditure. Also, strength training and oral treatment management showed a significant effect on the cost of comprehensive examination. The number of flossing and interdental brushing was also found to have a significant effect. According to the results of multiple regression analysis, disease history (t=2.683, p<.01) and mean smoking frequency (t=4.315, p<.001) appeared to have the most significant effect on expenditure statistically. In other words, when the subject has a history of disease and when the average number of smoking is large, it means that the comprehensive examination cost is remarkably large. Conclusion: By using these contents, hospitals can further refine the marketing of the examination center. In addition, a more convenient and specialized process should be used by patients by linking the general medical department and the examination center well. In terms of management of operating medical institutions, this can be expected to create patients and increase profits.
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