Browsing Research Output by Title
Now showing items 4327-4346 of 6571
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Partner selection decisions in interfirm collaborations: The paradox of relational embeddednessBy combining insights from relational network theory and agency theory we identify the boundary conditions to the embeddedness approach to partner selection decisions in interfirm collaborations. Employing a longitudinal dataset comprising the investment syndicates for the population of UK management buyouts between 1993 and 2003, we find that relational embeddedness is less important for selecting partners when agency risks are low, allowing firms to expand their networks. Furthermore, reputational capital may act as a partial substitute for relational embeddedness, again permitting firms to expand their networks. Our findings enhance understanding of the boundary conditions associated with the relational network approach to partner selections and network behaviour.
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Path-dependent evolution versus intentional management of investment ties in science-based entrepreneurial firmsThis paper studies the role of entrepreneurs in investment tie formation in science–based entrepreneurial firms. Specifically, we address why investment tie formation is path dependent for some firms but more amenable to intentional management for others. Using longitudinal case studies, our evidence suggests that early investment tie formation is path dependent because scientific entrepreneurs typically approach only one or a few prospective investors from within their institutional context. Differences in experience between early investors affect the professionalization of entrepreneurial teams (or lack thereof), which influences the extent to which subsequent investment tie formation becomes more amenable to intentional management or remains path dependent.
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Pathological gambling in Romanian teenagers. The psychopathology and neuropathology of teenagersThis note briefly describes three performance measures that can be used in business failure prediction models: the unweighted error rate (UER), D-max and the Gini-coefficient. The use of these measures (and the mathematical relationship between them) is illustrated with numerical examples. We hope that this note may help the reader to better understand (and possibly use) these classification criteria.