Ranking Knowledge Based Companies in Incubators by EFQM Indicators
Subject Areas : Technology Development Infrastructures and Supporting organizations
Meysam
Jafari Eskandari
1
Alireza
Ali Ahmadi
2
Gholamhosein
Khaleghi
3
Mohammad Hasan
Kamfirouzy
4
Keywords: Shapley Value, Numerical Taxonomy, Grey-MCDM, Grey Time Series, Uncertainty, Cooperative Game Theory, Bulls-eye Weighting Method, EFQM.,
Abstract :
Today performance evaluation is counted as one of the important and major process in organizations. Companies allocate some resources annually for this work. Performance evaluation in strategic planning process plays a key role, first: for environmental analysis and second: as feedback at the end of plan for correction. In this paper we decide to rank some knowledge based companies in one of the incubators based on EFQM indicators. This will be done by multi criteria decision making (MCDM) methods. The purposed method can deal with uncertainty well. Besides, using Game theory will make this model more flexible. Based on this, we try to control the environmental uncertainty with use of Grey time series and cooperative games and based on Frequentist school approach. Therefore we gathered expert's opinion at six time periods based on three parameter interval Grey numbers and we obtained the parameters of decision table within weighting to every time period by cooperative games. The used criteria are the criteria which are introduced in EFQM model. Then we rank companies with implementation of combination of Bulls-eye weighting method and Grey-numerical taxonomy method. In this ranking, companies, No. 1, 3 and 2 gained first, second and third rank by order which their Fi were 0.389, 0.463 and 0.523 by order. Also results of social and processes are known as the vital criteria by weights 0.161 and 0.153 orderly.