By Pierguiseppe Morone, Richard Taylor
Smooth economies are defined as 'knowledge based'. This ebook investigates the which means of one of these assertion, assessing the relevance of information and the channels wherein wisdom is exchanged, either from a theoretical and an empirical viewpoint. relocating in the realm of complexity idea, the authors offer a methodological evaluate of the information diffusion debate in addition to featuring theoretical and utilized types of data diffusion and innovation. They illustrate how geography performs a job in shaping cutting edge styles and the way dense networks in general lead to extra cutting edge environments. The publication concludes that developing the perfect connections inside such dense networks seems to be extra the most important than the other issue, therefore highlighting the significance of linkages (or the results in their absence) inside innovation structures. featuring a taxonomy of knowledge-sharing styles, this booklet could be warmly welcomed by way of teachers, researchers and postgraduate scholars within the components of the economics of innovation, evolutionary economics and data economics.
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Extra resources for Knowledge Diffusion and Innovation: Modelling Complex Entrepreneurial Behaviours
7 Knowledge transfers and knowledge spillovers are the most cited typologies of knowledge diffusion patterns (see, for instance, Morone and Taylor 2004a; van der Bij et al. 2003; Cabrera and Cabrera 2002; Hansen 1999; Szulanski 1996). However, these mechanisms present some disadvantages: they are expensive and often time-consuming and they offset the specialization of employees needed for innovation as they both assume that individuals absorb diverse specialized knowledge by means of face-to-face encounters (Demsetz 1991).
For a complete description of the main limitations of basic epidemic models see Mahajan and Peterson (1985). Note that this argumentation is tightly related to the discussion developed in Chapter 2 on the geographic dimension of knowledge flow patterns. Note that this simplifying assumption requires a double coincidence of wants within the period, for knowledge exchange to occur. However, as discussed above and in Chapter 2, most empirical literature showed how exchange of knowledge does not occur simultaneously.
15. Knowledge diffusion and innovation As observed by Robin Cowan: ‘[a] corollary of this is that as knowledge travels along a multi-agent chain, from i to j to k and so on, the knowledge degrades. Thus transmitting knowledge over a long chains is costly not only in terms of time, it is costly in terms of the diminution of the quantity of knowledge’ (Cowan 2004, p. 12). Building on this theoretical assumption of the model, the authors claim that their model, with respect to the existing literature, locates at an intermediate position along the dimension of exogenous vs endogenous networks.