El futuro de la investigación en emprendimiento estratégicoinducción y deducción a través del Machine Learning

  1. José Ignacio Galán Zazo 1
  2. Alberto Turrión Díez 2
  3. José Manuel Galán Ordax 3
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Grupo M Contigo
  3. 3 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Revista:
Economía industrial

ISSN: 0422-2784

Año de publicación: 2022

Título del ejemplar: Economía del dato

Número: 423

Páginas: 39-52

Tipo: Artículo

Otras publicaciones en: Economía industrial

Resumen

Sobre la base de la nueva era big data, este artículo tiene por objetivo proporcionar orientación sobre las metodologías principales de Machine Learning y su impacto tanto en el proceso de construcción del conocimiento como en la práctica en el campo del emprendimiento estratégico. Tratará de proponer varias formas en que estas nuevas metodologías afectarán la construcción del conocimiento, tales como: (a) cerrar el círculo inducción-deduccción; (b) generar nuevas ideas; (c) analizar modelos más complejos, holísticos y dinámicos, (d) promover su reproducibilidad y replicabilidad; y (e) integrar la práctica y la investigación. También se tratará de identificar la relevancia de las nuevas metodologías de Machine Learning para las empresas que buscan una ventaja competitiva sostenible. Se proporcionana evidencia de apoyo en varias investigaciones y casos prácticos de éxito

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