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Effective formulation and implementation of technology strategy has been considered as a major driver for competitiveadvantage of a firm. Although much debate is still going on about how to define the scope of technology strategy, from quitespecifically focusing on technology development, to very broad knowledge-based definitions [1], what the literature has incommon is that technology strategy can be viewed as a process composed of a series of steps requiring strategic decisions andactions, such as acquisition-management-exploitation [1, 2]. One of the critical strategic decisions in formulating technologystrategy is how to acquire the required technology. Technology acquisition concerns whether to acquire technologiesthrough internal development, cooperating with other firms of institutions, or buying the technology [3]. A variety oftechnology acquisition strategies (or modes) available and the complexity of modern business environments have led thedecision to be intractably difficult.Several empirical studies have been conducted to identify key determinants affecting the choice of technology acquisitionmode [4 7]. However, there is a missing link between influential factors and final decisions. Although a number of factorswere found to be influential in selecting the acquisition mode, it still remains a void in the literature how to make astrategic decision based on a huge set of influential factors with the help of a systematic and quantitative approach. Variousapproaches, based on mathematical programming, statistical analysis, or multiple criteria decision making (MCDM) methodshave been proposed to aid decisions both prior to and posterior to selection of technology acquisition mode: selection
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