Methods for innovation projects risk evaluation
Starting an innovation project assumes to state some competitive objectives referring to the allocated budget, time limit for project’s ending and also to the quality and performance parameters of the new obtained product. Referring to the innovation project development, the risk of unfulfilling the stated competitive objectives referrers to the exceeding the project’s budget and terms, and also to unfitting in the quality and performance parameters established in the innovation project planning stage. The large diversity of risk sources can be expressed by the possibility of appearance of some unexpected variations of the cost, time and quality of the new products. The innovation projects risk is settled by the variations of the cost, time and quality objectives effective values comparing to the planned values. Those variations are determined by purely random factors. The innovation projects characterized by uniform variations of the cost, time and quality objectives effective values around the mean are considered to be under statistic control. Those projects’ risk may be quantified and the risk impact over the project can be limited. The innovation projects characterized by fluctuant variations of the cost, time and quality objectives effective values around the mean are considered to be out of statistic control. The aim of this paper is to present two categories of statistic methods for innovation projects risk quantifying. The first statistic methods that quantify the risk of unfitting the quantitative objectives referrers to the time risk, cost risk and the risk of unfitting established performance parameters. The second category of methods represents statistic methods that quantify the risk of unfitting the qualitative objectives of the projects – the risk of appearance major quality deficiencies.
|Date of creation:||Feb 2008|
|Publication status:||Published in Book of Proceedings of the May Conference on Strategic Management (2008): pp. 82-90|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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