• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

• Journal of Environmental Policy
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• v.7 no.3
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• pp.1-40
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• 2008

In this paper, I examine the welfare effects of various revenue-neutral tax reforms in the case of two vertically-related oligopolies(downstream and upstream), where the upstream industry is polluting. I show analytically when and how government can improve welfare by initiating various tax reforms, regardless of either the feasibility of a lump sum transfer or the availability of a tax on pollution. The profit wedge that is the difference between the unit price and the unit cost and the marginal environmental damages(MED) becomes important to decidethe direction of a tax reform and is crucial to determine the direction of welfare-improving tax-subsidy schemes. I also show that a tax on pollution(Pigouvian tax) is superior to a tax on intermediate good even in the case of vertically-related oligopolies, because the former always brings in positive welfare effect from the upstream firms' input substitutability, which a tax on intermediate good cannot provide. Some policy implications for 'reducing environmentally-harmful subsidies' are also discussed.

• The Journal of Information Technology
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• v.6 no.4
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• pp.125-134
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• 2003

This paper is to measure the sensitivity of relations in communication network operation. In order to procure an important adequacy in the network operation and quality improvement, it is necessary to increase network operation efficiency and analyze the characteristic of network operation. Finally, we analyze costing appropriate operation, propose profit increase scheme and apply realistic business. First of all it's important to improve and estimate a proper operating cost thoroughly and comprehensively. Because the important issue of this process is quality process and this quality process occurs customers' satisfaction, therefore, to make a mutual relation in-between individual change of each element is to analyze a reasonable standard. So, for this reason we study on structuring nice models for network operation and estimating many scenarios for measuring efficiency. Especially those in economic and sensitivity based.

• The Research Journal of the Costume Culture
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• v.24 no.1
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• pp.114-117
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• 2016

It is recognized that the global apparel market of the twenty-first century is largely profit driven, and that the majority of producers and retailers have sourced products from the lowest cost locations. Purchase tickets of fashion goods available from 'fast' fashion retailers (at least within the UK) refrain from providing the consumer with details of the full circumstances of production. It seems that the majority of major retailers and producers are not willing to engage in levels of self-regulation which could ensure that the products offered to consumers are ethically produced and offer acceptable levels of sustainability. Meanwhile many fashion consumers have the desire to purchase sustainable products, produced ethically by workers paid fair wages in safe working environments. Consumer demand could be a powerful tool to adjust the behaviour of manufacturers and buyers. This paper proposes the introduction of international legislation demanding greater degrees of transparency than exist currently and that the full sourcing and production details of fashion products are stated clearly on the product's purchase ticket within its retail setting. With the introduction of such legislation, consumers could thus be given the opportunity of purchasing goods which they feel accommodate their own views on ethical manufacture and sustainable products. In turn, consumer pressure could ensure indirectly that retail buyers consider all ethical and sustainable aspects of production when negotiating with garment producers/suppliers. Further to this, such a negotiating stance could ensure the improvement of the terms and conditions of employment of the numerous garment workers worldwide.

• Knowledge Management Research
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• v.16 no.1
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• pp.209-224
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• 2015

Previous studies provided that limiting the number of services provided in hospital had influences in decreasing cost in delivering medical services. Hospitals could have positive effects on their profit by concentrating small number of services which they have comparative advantages. This study purposed to analyze the relationship between the concentration status of hospitals and medical charge for inpatients. National Inpatient sample data provided by the Health Insurance Review and Assessment Service (HIRA) for three years, 2009 to 2011 was used to compute the three concentration indices (Information Theory Index (ITI), Internal Herfindahl Index (IHI), and number of distinct Diagnosis-Related Groups (DRGs) treated) and total medical charge per inpatient case in each year. It was also used to select the control variables such as bed size, number of doctors per 100 beds, and locations. The ordinary least square regression models were developed and tested for hospital and general hospitals separately. The results showed that the total medical charge per inpatient case was significantly differed depending on the concentration indices, and there were positive relationships in ITI and IHI. The number of distinct DRGs had different directions in regression coefficients depending on the locations and hospital types. Hospitals had larger absolute standardized regression coefficients compare to those of general hospitals. However, their effects could be varied by the hospital types, number of doctors, and locations. It seems that hospitals have more influences on medical charges by concentrating their services than general hospitals. Study results provide knowledges to hospital administrators that concentration strategy can positive influences on the performance of small size hospitals.

• Journal of the Korea Institute of Building Construction
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• v.16 no.5
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• pp.463-470
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• 2016

Construction companies calculate their revenues and costs from constructing activities using the 'Percentage of Completion Method', which is based on ratio of actual construction cost to total costs estimated. The reliability of the net profit of construction companies is being evaluated lower than other industries due to incorrect application of 'Percentage of Completion Method' to cover losses actually occurred. Therefore, the purpose of this study is to verify the quality of earnings calculated based on 'Percentage of Completion Method' in terms of information usefulness. Results from empirical analysis show that investors in stock market underestimate the value of the construction companies' earning information by applying 'Percentage of Completion Method' and not actively use in investment decision making. Accordingly, it has been confirmed that the association between income information and stock prices falling. These results suggest the need for strict supervision of the supervisory authorities and the practical application of 'Percentage of Completion Method' in reliability.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.295-300
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• 2006

In this research, risk factors which can raise project cost are identified in the initial stage and picked out through the decision maker's baseline. And also this probable risks are implemented to the project cash flow to estimate the contingency and to build a risk management system in the level of project. The risks that affect the projects profits were classified in two categories in the risk checklist. Firstly, financial risks derived from the external economic conditions for example exchange rate, escalation, interest rates etc. are analyzed through the stochastic methods, Monte-Carlo Simulation. Secondly, the project individual risks which are come from the project characteristics, for example country risk, clime, owner etc., are evaluated using the utility curve of the decision maker. Finally these risk analysis methods are used to forecast the actual project cash flow and final profit.

• Korean Journal of Construction Engineering and Management
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• v.16 no.3
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• pp.132-142
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• 2015

A facility is built by participating of various parties who are connecting each other by network of contract. Domestic construction industry has been suffering with high cost and low efficiency due to lack of cooperative relationship among companies who participated in the project. The government has tried to resolve this problem by diverse policy support, but practical result has not been realized in the level of satisfaction. This paper defined construction business ecosystem in the aspect of business ecosystem as a network among construction companies based on diverse production system, and diagnosed cooperative business ecosystem in construction industry. For construction business ecosystem to be more cooperative business ecosystem, the result of diagnosis shows that the type of cooperation based capacity and value sharing should be developed and interdependence among companies and cooperative relationship should be durable and reasonable price for construction should be guaranteed for the participant to have a profit from the project.

• Journal of Environmental Impact Assessment
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• v.18 no.6
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• pp.461-467
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• 2009

This paper provides two case studies of environmental impacts with socio-economic values. The first case is on flood protection levees conducted from 2003 to 2004 in Phu Tan district, An Giang province. The impacts were found by comparing full flood protection levees area (FFPL) to non-full flood protection levees area (NFFPL). Participatory Rural Appraisal (PRA) tools per each group of rich, middle, and poor people were used to list the impacts. Then, major impacts were selected by ranking and interviewing 60 households per site, and assessed by Cost Benefit Analysis (CBA) in rice production from 1996 to 2002 between two areas. The tested research indicated moving system of NFFPL to that of FFPL lost about 11 million VND/ha/year. The second case is on impacts of Penaeid shrimp farming conducted in Duyen Hai District, Tra Vinh Province in 2004-2005. Ninety households and 12 local officials were interviewed. Four PRAs were conducted and 36 water samples were taken inside and outside shrimp pond to measure values of DO, COD, Fe total, TSS, N-$NO_3{^-}$, N-$NH_4{^+}$, P-$PO{_4}^{3-}$, and Chlorophyll-a. Research results showed only 36.7% of the households got profit from shrimp farming. Highest financial efficiency was 0.72 for the semi-intensive system. Tested water indicators showed surface water quality did not match Vietnamese standard for surface water in coastal area (TCVN 5943-1995) and in rain. The water was very muddy and contaminated by organic aluminum. Summarily, the impacts were clarified more obviously via adding socio-economic values to assessment. Importantly, the values were transformed to household's income which is an indicator for policy-makers to consider the impacts obviously. Besides, data of different group of people impacted are cases contributing to consideration of the impacts in an appropriate social level.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.4
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• pp.81-92
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• 2018

Bitcoin is a cryptographic digital currency and has been given a significant amount of attention in literature since it was first introduced by Satoshi Nakamoto in 2009. It has become an outstanding digital currency with a current market capitalization of approximately $60 billion. By 2019, it is expected to have over 5 million users. Nowadays, investing in Bitcoin is popular, and along with the advantages and disadvantages of Bitcoin, learning how to forecast is important for investors in their decision-making so that they are able to anticipate problems and earn a profit. However, most investors are reluctant to invest in bitcoin because it often fluctuates and is unpredictable, which may cost a lot of money. In this paper, we focus on solving the Bitcoin forecasting prediction problem based on deep learning structures and neural decomposition. First, we propose a deep learning-based framework for the bitcoin forecasting problem with deep feed forward neural network. Forecasting is a time-dependent data type; thus, to extract the information from the data requires decomposition as the feature extraction technique. Based on the results of the experiment, the use of neural decomposition and deep neural networks allows for accurate predictions of around 89%.