دانلود رایگان مقاله محرکان کارآفرینی صادرات

ABSTRACT

The existing knowledge concerning the determinants of exporting entrepreneurship – conceived to be the speed, degree and scope with which the exporting activity is developed – is both scant and scattered. In order to cover this research gap, the main aim of this investigation is to get to know the drivers of export entrepreneurship from the resource-based view – RBV – and the contingency approach. A conceptual model that is verified with a multi-sectorial sample of 212 Spanish exporting companies is proposed. The results reveal that export entrepreneurship positively depends on internal factors, such as export commitment and resources associated with experience and structure. It likewise depends on contingency factors linked to the external environment, such as competitive intensity and the distances between the export firm’s different markets. The results produce academic and managerial contributions for the field of export activities.

6. Discussion and implications

6.1. Academic implications The discussion is organized around the research aims. The conceptual model proposed has been validated. EE is considered to be a process associated with those in charge of the export activity through which they decide when (speed), how (degree) and where (scope) the firm is going to develop its export activity. According to the basis of the RBV and the contingency approach, in this process both internal and external factors of the organization intervene. Among the internal factors, those which are personal – in our case the attitude of the export managers: export commitment – and the resources associated with experience and structure are essential to drive the export entrepreneurship. Among the external factors, the industry’s competitive intensity and the market distances also have an important effect on EE. The influence of these internal and external factors explain an EE variance of 41.5% (R2 = 0.415). Some implications arise from focusing on the relationships between the variables and taking the global model as a reference.