Couverture de New Business + Retail Insights

New Business + Retail Insights

New Business + Retail Insights

De : Center for Retailing Studies at Texas A&M University
Écouter gratuitement

À propos de ce contenu audio

New Business & Retail Insights (NBRI) is an initiative of the Center for Retailing Studies (CRS) from Mays Business School at Texas A&M University. Hosted by Dr. Venky Shankar, Coleman Chair Professor and Director of Research, CRS, this podcast features interviews with leading researchers and business leaders who bring out cutting-edge insights on business and retailing.

All rights reserved. Economie Marketing et ventes
Les membres Amazon Prime bénéficient automatiquement de 2 livres audio offerts chez Audible.

Vous êtes membre Amazon Prime ?

Bénéficiez automatiquement de 2 livres audio offerts.
Bonne écoute !
    Épisodes
    • NBRI Episode 20: Szu-chi Huang

      NBRI Episode 20: Szu-chi Huang
      Aug 30 2021

      Szu-chi Huang is Associate Professor of Marketing at Stanford University.

      Huang's research focuses on consumer motivation. Her work in this area has been programmatic, documenting how consumers have different concerns in different stages of goal pursuit, and thus derive motivation in very distinct ways.
      Afficher plus Afficher moins
      37 min
    • NBRI Episode 19: Leigh McAlister

      NBRI Episode 19: Leigh McAlister
      Aug 17 2021

      Leigh McAlister is professor and Ed and Molly Smith Chair in Business Administration at the University of Texas at Austin.

      McAlister's research focuses on consumers' reactions to marketing interventions and the strategic implications of those reactions.
      Afficher plus Afficher moins
      36 min
    • NBRI Episode 18: Fred Feinberg

      NBRI Episode 18: Fred Feinberg
      Jul 21 2021

      Fred Feinberg is the Joseph Handleman Professor of Marketing at the University of Michigan.

      Feinberg's research examines how people make choices in uncertain environments. His work focuses on using statistical models to explain complex decision patterns, particularly involving sequential choices among related items. 
      Afficher plus Afficher moins
      40 min
    Aucun commentaire pour le moment