The Performance of Seaport Clusters - RePub - Erasmus Universiteit ...
The Performance of Seaport Clusters - RePub - Erasmus Universiteit ...
The Performance of Seaport Clusters - RePub - Erasmus Universiteit ...
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5.4.1 Firm variety and performance<br />
<strong>The</strong> <strong>Performance</strong> <strong>of</strong> <strong>Seaport</strong> <strong>Clusters</strong><br />
Firms are learning agents with different capabilities (see Nelson, 1994). ‘Firms - even within<br />
the same industry - differ in terms <strong>of</strong> their propensities to commit resources to innovation’<br />
(Dosi and Marengo, 1994, p. 158). Faced with large amounts <strong>of</strong> information, and high costs<br />
<strong>of</strong> processing information, economic agents do not use all potentially available information,<br />
but operate on the basis <strong>of</strong> ‘taken for granted rules’ and routines. Firms are not only<br />
boundedly rational, but also have a selective rationality (Simon et al 1992). Choices about<br />
what information is relevant and what not are based on past search and processing<br />
procedures. Paquet (1998) terms this a ‘reference framework’. Such frameworks ‘filter’<br />
information, and influence the interpretation <strong>of</strong> information. Thus, capabilities are grounded<br />
on firm specific cognitive frames. In general, a fit exists between cognitive frames,<br />
capabilities and market environments. However, since a firm’s logic is deeply embedded in<br />
routines and human capital, firms cannot smoothly change from one frame to another and<br />
consequently cannot change from one set <strong>of</strong> capabilities to another.<br />
Value chains (or production networks) consist <strong>of</strong> actors with different capabilities. Business<br />
units specialize in different activities that require different capabilities and related cognitive<br />
frames. As a consequence <strong>of</strong> specialization, a ‘cognitive division <strong>of</strong> labor’ arises: value<br />
chains consist <strong>of</strong> networks <strong>of</strong> firms with different capabilities and related cognitive frames 26 .<br />
Bellussi and Gottardi argue that ‘the cognitive division <strong>of</strong> labor operates on a system level<br />
within each industrial structure [and is thus] an interfirm division <strong>of</strong> labor 27 (Bellussi and<br />
Gottardi, 1999, p.14).<br />
Thus, the cluster population can be regard as a collection <strong>of</strong> capabilities and related<br />
cognitive frames. In this perspective, three arguments substantiate the positive effect <strong>of</strong><br />
26 <strong>The</strong> ‘cognitive division <strong>of</strong> labor’ can be explained with arguments derived from transaction cost<br />
economics: costs <strong>of</strong> coordinating activities with different cognitive frames inside a firm are<br />
relatively high, compared to market coordination.<br />
27 <strong>The</strong> cognitive division <strong>of</strong> labor is related to the concept <strong>of</strong> cognitive distance (Nooteboom,<br />
1992). A high cognitive distance potentially yields much novelty, but the transferability is low,<br />
precisely because cognitive distance is high. A low cognitive distance leads to a high<br />
transferability but yields little novel information. This concept can be used to explain why a<br />
cognitive division <strong>of</strong> labor arises.