The main focus of this paper is to propose a method for prioritizing knowledge and technology factor of firms towards sustainable competitive advantage. The data has been gathered and analyzed from two high tech start-ups in which technology and knowledge play major role in company’s success. The analytical hierarchy model (AHP) is used to determine competitive priorities of the firms. Then knowledge and technology part of sense and respond questionnaire is used to calculate the variability coefficient i.e. the uncertainty caused by technology and knowledge factor. The proposed model is tested in terms of two start-ups. Based on the initial calculation of uncertainties, some improvement plan is proposed and the method is applied again to see if the uncertainty of knowledge and technology decreases. In both cases, the proposed model helped to have a clear and precise improvement plan and led in reduction of uncertainty.
The goal of this paper is to help small and medium size enterprises (SMEs) to find operative competitive advantage. This paper introduces a new method which applies critical factor analysis, risk and opportunities analysis to measure and propose resource allocation for companies in couple of next years. this research shows Knowledge/Technology (K/T) Calculation effect on (Balanced) Critical Factor Index (CFIs) depending on the proportions allocated among the different technological levels (Basic, Core or Spearhead) for each attribute separately. Moreover it helps firms to take balance in resource allocation for each attribute in changing environments on the basis of different level of technology. This paper presents the ’first in the world’ case study on operative sustainable competitive advantage and corresponding risk levels by taking into account technology and knowledge effects for 7 SME companies.
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