Repository logo
 
Loading...
Thumbnail Image
Publication

Market orientation and performance: modelling a neural network

Use this identifier to reference this record.
Name:Description:Size:Format: 
Market orientation and performance Modelling a neural network.pdfPurpose: This paper aims to investigate the impact of market orientation (MO) on performance using a neural network model in order to find new linkages and new explanations for this relationship. Design/methodology/approach: This investigation is based on a survey data collection from a sample of 192 Portuguese companies. A neural network model has been developed to identify the effects of each dimension of MO on each dimension of performance. Findings: Relationship among MO and performance was corroborated but MO's impact is poor and based on its first dimension, market intelligence generation. Research limitations/implications: Further research in this field should be conducted using other tools offered by neural network modelling. Practical implications: Managers should give more attention to cross-functional co-ordination in order to improve market intelligence dissemination and responsiveness and, thus, global performance. Originality/value: The paper presents the development of a neural network model to analyse this relationship.162.97 KBAdobe PDF Download

Advisor(s)

Abstract(s)

Purpose: This paper aims to investigate the impact of market orientation (MO) on performance using a neural network model in order to find new linkages and new explanations for this relationship. Design/methodology/approach: This investigation is based on a survey data collection from a sample of 192 Portuguese companies. A neural network model has been developed to identify the effects of each dimension of MO on each dimension of performance. Findings: Relationship among MO and performance was corroborated but MO's impact is poor and based on its first dimension, market intelligence generation. Research limitations/implications: Further research in this field should be conducted using other tools offered by neural network modelling. Practical implications: Managers should give more attention to cross-functional co-ordination in order to improve market intelligence dissemination and responsiveness and, thus, global performance. Originality/value: The paper presents the development of a neural network model to analyse this relationship.

Description

Keywords

Market orientation Marketing intelligence Business performance Modelling Neural nets Portugal

Citation

Silva, M., Moutinho, L., Coelho, A. and Marques, A. (2009), "Market orientation and performance: modelling a neural network", European Journal of Marketing, Vol. 43 No. 3/4, pp. 421-437. https://doi.org/10.1108/03090560910935505.

Research Projects

Organizational Units

Journal Issue