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The features of regional innovative clusters are considered and factors that determinate their performance are described. This article examines the problem of the multi-criteria choice of an investment project in regional innovative cluster in risk situation. The study presents the system of performance assessment's indicators defined for regional innovative cluster and algorithm of finding the Pareto...
As part of the conducted research, methodological guidelines have been justified and drawn up on strategy forming for developing a retail gas station chain of an oil company based on economic value added.
Investigates issues of forecasting the necessary growth in sales volumes and profits of enterprises in the context of supporting management decisions. A planned sales volumes for a given level of growth in sales profit and a different level of production risk is calculated.
Is devoted to the strategic decision making model based on project portfolio approach and fuzzy logic. The projects under discussion are innovation projects, with high risk and high potential profitability. The optimization task is based on 2 variables, profitability and risk for the whole portfolio. Strategic project portfolios then could be valued and compared.
Goal: To develop a systematic methodology for decision support in the analysis of the market (for example, the IT market). The analysis of the market of information and communication technologies of the Russian Federation and the adoption of an effective management decision on the choice of IT companies for possible investment. Based on the research conducted, it is possible to make an effective management...
As of December 2, 2016, Henan has 74 listed companies, which are an important part of the capital market and contribute greatly to the economic and social development of Henan Province. This paper analyzes the problems existing in the development of Listed Companies in Henan Province from the regional and industrial distribution, market capitalization and capital structure, management level, etc,...
Changing our practical software engineering course from the previous waterfall model to a more agile and iterative approach created more severe assessment challenges. To cope with them we added an assessment concept based on play money. The concept not only includes weekly expenses to simulate real running costs but also investments, which correspond to assessment results of the submissions. This...
This study uses patent data to conduct an empirical analysis of the effect of inventor mobility on R&D performance and innovation. I examine the characteristics of knowledge workers who moved from Japan to China and Korea to explore what types of knowledge workers successful firms in China and Korea select from rival companies in Japan. In addition, this study focuses on the role of the inventors'...
Several challenges affect solar PV (Photovoltaic) integration with Jordan electricity grid. Major challenges are PV power variability, uncertainty and constructing new transmission lines on unqualified grid. Conventional plants consume fuel to export the electricity to the grid and to the in-house load which requires, in average, 1.6∼7.8% from plant generated energy. This study aims to propose new...
This paper makes an attempt to predict the movement of the stock price for the following day using Artificial Neural Network (ANN). For the purpose of this research, two companies from each industry have been chosen that is, TATA Motors and Honda Motors from the Automobile industry and Cadila Pharmaceuticals Ltd. and Glenmark Pharmaceuticals from the Pharmaceutical industry. The historical prices...
In recent years, there is a noticeable rapid development of high-technologies. High tech companies show the high level of innovation performance, using advanced management models, implementing the up-to-date technologies each of technological and managerial. The comparative analysis of high tech industry in Russia and South Korea is based on the evaluation of the high technology development level,...
This study is to explore and assess the investment decision-making of the aesthetic medicine industry in light of uncertain revenues and project investment risks when handling multinational joint ventures. The net present value method is employs to analyze the different strategies used in each decision node of two stages by adopting the state cash flow value and the extended binomial opinions; the...
Today's Challenge for many manufacturing companies is how to improve product quality and reduce the production cost of the products offered in the market. Quality improvement must be performed by a company to maintain its product's competitiveness in the market. Quality improvement and cost reduction can be performed by allocating investments to reduce the value of the variance in the component of...
The purpose of this study is to suggest ICT based conceptual evaluation model for the investors when to review the startup business. In regards, the conceptual model tried to emphasize the trust network among multi-stakeholders. Since ICT enables all businesses in real time through online channel, building the trust issues has been crucially raised. Under the digital paradigm, Industry 4.0 that maximize...
Regulatory intensity is a key determinant of investment in telecommunications. This subject has been studied extensively, yet results have been ambiguous. For such reason, this study considers the recent evolution in the Mexican regulatory environment, which has responded to specific circumstances, thus playing a key role in determining the relationship between regulation and investment in mobile...
Recent years have witnessed the boom of venture capital industry. Venture capitalists can attain great financial rewards if their invested companies exit successfully, via being acquired or going IPO (Initial Public Offering). The literature has revealed that, from both financial and managerial perspectives, decision-making process and successful rates of venture capital (VC) investments can be greatly...
Since early days of computer science, researchers ask themselves where is the line that separates tasks machine can do from those only human beings can really accomplish. Several tasks were pointed as impossible to machines and later conquered by new advances in Artificial Intelligence. Nowadays, it seems we are not far from the day when driving cars will be included among the tasks machines can do...
In this paper we investigate whether statistical learning algorithms can be effectively deployed in an Intelligent Decision Support System (IDSS) to reduce idiosyncratic risk in private equity investment decisions. This is particularly desirable in light of the new Equity Crowd Funding (ECF) private equity investment class created by the JOBS Act, since the Act opens up private equity investment to...
For shuttle trains with a fixed transport capacity which are the dominant operating form in intermodal transport, increasing capacity utilization is of crucial importance due to the low marginal costs of transporting an additional loading unit. Hence, offering rail-based transport services for non-cranable semi-trailers can result in additional earnings for railway companies. However, these earnings...
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