Artikel

Intensidad exportadora e interacción entre fortalezas del marketing mix: Un análisis basado en redes neuronales artificiales

Among the determining factors in export activity, many studies have high- lighted the relevance of the marketing mix. Generally, the majority of them use a variables analysis to focus on specific strategies, in particular, standardized-adaptations. This paper analyzes if there is an interactive effect of strength generated in different variables of the marketing mix that can be associated with different export profiles. The Extreme Learning Machine (ELM) algorithm has been used within the Multilayer Perceptron (MLP) of Artificial Neural Networks (ANN). In addition, the analyses combine a novel approach for sensitivity analysis developed ad hoc for this paper to determine the individual and interactive effects of predictable variables on the dependent variable in classification problems of a dichotomous nature. The results obtained allow us to confirm the existence of the postulated interactive effects, simultaneously revealing the usefulness of ANN and of the sensitivity analysis proposed for research in the area of marketing and, specifically, in firms' internationalization studies.

Sprache
Spanisch

Erschienen in
Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 18 ; Year: 2014 ; Pages: 88-111 ; Sevilla: Universidad Pablo de Olavide

Klassifikation
Wirtschaft
Marketing
Thema
internationalization
marketing mix
Artificial Neural Networks
Extreme Learning Machine
sensitivity analysis

Ereignis
Geistige Schöpfung
(wer)
Gutiérrez-Villar, Belén
Montero-Simó, María José
Araque-Padilla, Rafael Ángel
Castro-González, Pilar
Ereignis
Veröffentlichung
(wer)
Universidad Pablo de Olavide
(wo)
Sevilla
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Gutiérrez-Villar, Belén
  • Montero-Simó, María José
  • Araque-Padilla, Rafael Ángel
  • Castro-González, Pilar
  • Universidad Pablo de Olavide

Entstanden

  • 2014

Ähnliche Objekte (12)