Créer de la valeur par le crowdsourcing : la dyade Innovation-Authenticité

Authors

  • Jean-Fabrice LEBRATY Université de Nice à Sophia-Antipolis, Laboratoire GREDEG
  • Katia LOBRE Université de Nice à Sophia-Antipolis, Laboratoire GREDEG

DOI:

https://doi.org/10.3917/sim.103.0009

Keywords:

Crowdsourcing, Value, Crowd, Innovation, Authenticity, Motivation

Abstract

This article is focused on a new way of externalization named : crowdsourcing. It aims to answer to the following research question : how a crowdsourcing operation can lead to value creation for an organization. From an interpretive point of view and based upon a vast empirical exploratory study, we display the link between crowd types and forms of value (authenticity or innovation). Our answer lays the foundation of a business model dedicated to crowdsourcing.

Author Biographies

Jean-Fabrice LEBRATY, Université de Nice à Sophia-Antipolis, Laboratoire GREDEG

Jean-Fabrice LEBRATY est Professeur de Sciences de Gestion à l’Université de Nice-Sophia Antipolis. Il est membre du laboratoire de recherche GREDEG UMR CNRS 6227 et dirige l’équipe Sciences de Gestion (RODIGE). Spécialisé en gestion des systèmes d’information et de communication, ses recherches portent notamment sur la prise de décision et sur les technologies supportant ces processus. Il participe au développement de la communauté en SI au travers de l’AIM et de ses colloques, et de la revue SIM.

Katia LOBRE, Université de Nice à Sophia-Antipolis, Laboratoire GREDEG

Katia LOBRE est Maître de conférences en Sciences de Gestion à l’Université de Nice-Sophia Antipolis. Elle est membre du laboratoire de recherche GREDEG UMR CNRS 6227 et appartient à l’équipe Sciences de Gestion (RODIGE). Ses recherches sont à la croisée de la stratégie et des systèmes d’information.

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Published

2010-11-03

How to Cite

LEBRATY, J.-F., & LOBRE, K. (2010). Créer de la valeur par le crowdsourcing : la dyade Innovation-Authenticité. Systèmes d’Information Et Management (French Journal of Management Information Systems), 15(3), 9–40. https://doi.org/10.3917/sim.103.0009

Issue

Vol. 15 No. 3 (2010)

Section

Empirical Research Article

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