Study of Market Scale and Share Estimation Methodology on Effective Feasibility Analysis of Government R&D Program Related to Information Technology
| Autor: | Hyonam Jeong, BongHoon Kim, JaeHyuk Cho, ChangHo Choi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Estimation
0209 industrial biotechnology Operations research business.industry Computer science Big data Information technology Analytic hierarchy process 02 engineering and technology computer.software_genre 020901 industrial engineering & automation Relevant market Order (exchange) Scale (social sciences) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining Market share business computer |
| Zdroj: | 2016 International Conference on Platform Technology and Service (PlatCon). |
| DOI: | 10.1109/platcon.2016.7456826 |
| Popis: | Standardizing the various benefits and performance features of the different government R&D programs is difficult. Associated Research results and benefit distinctions from preliminary feasibility data were used to draw benefit estimation hindrance factors. Analytic Hierarchy Process is used to identify the relative importance rank of benefit estimation hindrance factors. If Independence between benefit estimation hindrance factors fails to satisfy the evaluation criteria then, a model based on the fuzzy measure is applied. This is for drawing optimal evaluation results, In order to know the correlation between benefit distinctions and benefit estimation hindrance factors ordered digit model is utilized. In this paper, the R&D program related to Information Technology was classified into four categories. Finally a methodology for extracting a relevant market scale and a market share data is proposed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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