International technology transfer: innovative quantitative tools Online publication date: Wed, 10-Sep-2014
by Houssam Eddine Bessam; Rainer Gadow
International Journal of Technology Transfer and Commercialisation (IJTTC), Vol. 12, No. 1/2/3, 2013
Abstract: International technology transfer (ITT) including transfer of knowledge and technology between companies in industrialised countries and their partners in developing countries is not necessary always successful. This work based on the experiences of professionals from North African countries (Egypt and Algeria) is an effort to build mathematical models encompassing all project stages using the existing success/failure factors of technology transfer from the literature review as input variables in order to predict the performance of ITT projects as an output and to determine a set of best practices. The gathered data about realised projects were exploited for developing linear, nonlinear models using conventional statistical approaches and also fuzzy models. These models should be seen as complementary rather than as rivals. They allow not only the prediction of an ITT project performance but also may help for a better understanding of ITT process. The performance of an ITT project in this study is a set of five success dimensions for e.g. success at the macro level and success in short term at the level of the company. These dimensions are conflicting because the increase of one success could lead to decrease in another. Therefore the use of multi-objective optimisation theory was necessary in order to determine the optimum of Pareto offering a good combination of them. ACADO toolkit and MOEA framework were used in this study for calculating the optimum of Pareto.
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