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2014 (published: 15.09.2014)
Number 3(18)
Home > Issue > Using randomized indicators for qualitative assessment of the feasibility of IT projects
Tushavin V. A.
The article discusses an approach to assessing the feasibility of an investment project in the field of information technology based on the proposed randomized indicators using the stochastic dominance. Shown its advantages in comparison with conventional linear convolution with multiple criteria decision making. A model analysis of the feasibility of an investment project using the described approach is based on two groups of indicators related to technical feasibility and probability of commercial success, which includes nine indicators. Suggested approach to the formation qualimetric scales to evaluate them on a particular example show narrowing of the space of possible solutions in the ranking indicators. Provides specific recommendations for the implementation of the proposed plan. Finally, we discuss the applicability of the methodology to the considered problem of selecting an outsourcer.
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Keywords: project management, stochastic dominance, randomization indicators
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
UDC 658.5.012.7
Using randomized indicators for qualitative assessment of the feasibility of IT projects
The article discusses an approach to assessing the feasibility of an investment project in the field of information technology based on the proposed randomized indicators using the stochastic dominance. Shown its advantages in comparison with conventional linear convolution with multiple criteria decision making. A model analysis of the feasibility of an investment project using the described approach is based on two groups of indicators related to technical feasibility and probability of commercial success, which includes nine indicators. Suggested approach to the formation qualimetric scales to evaluate them on a particular example show narrowing of the space of possible solutions in the ranking indicators. Provides specific recommendations for the implementation of the proposed plan. Finally, we discuss the applicability of the methodology to the considered problem of selecting an outsourcer.
Read the full article
Keywords: project management, stochastic dominance, randomization indicators