EVALUATING TECHNOLOGICAL EMERGENCE FOR STRATEGIC TECHNOLOGY (ETEST) MANAGEMENT: A HYBRID MODEL OF SCIENTOMETRICS AND MCDM APPROACHES

Increasing intensity and rapid shifts on technology domain force policymakers and managers to think more on adaptive strategies by understanding the nature of emergence. However, even there were many conceptual models without consensus, understanding the nature of emergence may not lead to decision for managers or policymakers. There were some proposals aiming to design practical solutions but different fields, experts, or subjects may alter these proposed solutions and sometimes make them biased. In this study, it is aimed to propose a conceptual model by using combination of scientometrics and fuzzy Multi-Criteria Decision Making for evaluating emerging topics holistically. By using fuzzy approach, it is thought that expert decisions can be enhanced and with applying decision making process a compromise solution can be reached.  Consequently, conceptual model is proposed and step-by-step methodology discussed.

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