Applying Artificial Neural Networks
to Evaluate Export Performance:
A Relational Approach

Vol:10 No.4 / 2009


António CORREIRA de BARROS
E-mail: acorreiadebarros@gmail.com
Instituto Superior de Contabilidade e Administração do Porto and EDGE UP, Portugal
Hortênsia BARANDAS
E-mail: barandas@fep.up.pt
Faculdade de Economia da Universidade do Porto and EDGE UP, Portugal
Paulo Alexandrei PIRES
E-mail: paulo.pires@upt.pt
Universidade Portucalense, Portugal


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      Abstract

      The paper applies artificial neural networks to investigate the effect of the exporter�s relationship orientation on the export performance, mediated by the relationship quality, taking into account the supplier�s strategic orientation and the foreign customer�s approach to purchasing. The proposed model is supported mainly by the Second Networking Marketing Paradox, the Commitment-Trust Theory, the Relationship Marketing Paradigm and International Marketing fundamentals. The model developed, proposes that an exporter�s relationship orientation influences the relationship quality with a foreign customer, which, in turn, influences the exporter�s performance. Furthermore, the model proposes that the content of the relationship orientation is contingent on either the company�s strategic orientation � internally defined � or the interface with the customer, which is external to the company�s decision-making. The results of the empirical study generally confirm the theoretical hypotheses.

      Keywords: export performance, relationship orientation, relationship quality, strategic orientation, interface

Pages: 713 - 734