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A neural network model has been developed to identify the effects of each dimension of MO on each dimension of performance.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Relationship among MO and performance was corroborated but MO's impact is poor and based on its first dimension, market intelligence generation.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Further research in this field should be conducted using other tools offered by neural network modelling.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>Managers should give more attention to cross\u2010functional co\u2010ordination in order to improve market intelligence dissemination and responsiveness and, thus, global performance.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The paper presents the development of a neural network model to analyse this relationship.<\/jats:p><\/jats:sec>","DOI":"10.1108\/03090560910935505","type":"journal-article","created":{"date-parts":[[2009,4,27]],"date-time":"2009-04-27T05:14:18Z","timestamp":1240809258000},"page":"421-437","source":"Crossref","is-referenced-by-count":24,"title":["Market orientation and performance: modelling a neural network"],"prefix":"10.1108","volume":"43","author":[{"given":"Manuela","family":"Silva","sequence":"first","affiliation":[]},{"given":"Luiz","family":"Moutinho","sequence":"additional","affiliation":[]},{"given":"Arnaldo","family":"Coelho","sequence":"additional","affiliation":[]},{"given":"Alzira","family":"Marques","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2021010610214861800_b1","unstructured":"Baker, W. and Sinkula, J. 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