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Étude empirique de l'influence sociale dans les phénomènes de diffusion : l'exemple du câble et du fax en France

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  • Alexandre Steyer
  • Jean-Benoît Zimmermann

Abstract

[eng] Empirical Study of Social Influence in Diffusion Phenomena - Cable and Fax in France by Alexandre Steyer and Jean-Benoît Zimmermann . Over the last ten years, diffusion models have been improved by including network externalities. We briefly outline the main approaches developed to date and describe the basis of an approach to take account of different interindividual influences in a population. We then present an empirical validation based on two contemporary examples in France. The first is cable television, which is expected to present social utility via mimetic effects. The second example is the fax, which presents strong interindividual externalities. Its utility stems from the possibility for players to use it to communicate with their contacts. [fre] Étude empirique de l'influence sociale dans les phénomènes de diffusion : . l'exemple du câble et du fax en France . par Alexandre Steyer et Jean-Benoît Zimmermann . Les modèles de diffusion se sont enrichis depuis une dizaine d'années par la prise en compte des effets d'externalités de réseau. Après un rapide survol des principales approches développées jusqu'ici, nous exposons les fondements d'une démarche visant à intégrer la différenciation de l'influence interindividuelle au sein d'une population. Nous présentons ensuite un travail de validation empirique sur deux exemples contemporains, en France. Le premier concerne la télévision par câble. Ce produit présente a priori une utilité sociale par effet de mimétisme. Le deuxième exemple concerne le fax. Ce produit comporte de fortes externalités interindividuelles. Son utilité dérive pour l'essentiel de la possibilité pour un agent de communiquer par ce moyen avec les personnes avec lesquelles il est en relation.

Suggested Citation

  • Alexandre Steyer & Jean-Benoît Zimmermann, 1998. "Étude empirique de l'influence sociale dans les phénomènes de diffusion : l'exemple du câble et du fax en France," Économie et Prévision, Programme National Persée, vol. 135(4), pages 109-119.
  • Handle: RePEc:prs:ecoprv:ecop_0249-4744_1998_num_135_4_5928
    DOI: 10.3406/ecop.1998.5928
    Note: DOI:10.3406/ecop.1998.5928
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    References listed on IDEAS

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    1. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    2. Alan Kirman, 1999. "Interaction and markets," Chapters, in: Mauro Gallegati & Alan Kirman (ed.), Beyond the Representative Agent, chapter 1, pages 1-44, Edward Elgar Publishing.
    3. Alexandre Steyer & Jean-Benoît Zimmermann, 1996. "Externalités de réseau et adoption d'un standard dans une structure résiliaire," Revue d'Économie Industrielle, Programme National Persée, vol. 76(1), pages 67-90.
    4. Steyer, A & Zimmermann, J-B, 1997. "On the Frontier : Structural Effects in a Diffusion Model Based on Influence Matrixes," G.R.E.Q.A.M. 97a14, Universite Aix-Marseille III.
    5. Cowan, Robin, 1991. "Tortoises and Hares: Choice among Technologies of Unknown Merit," Economic Journal, Royal Economic Society, vol. 101(407), pages 801-814, July.
    6. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    7. Alan P. Kirman, 1992. "Variety : the coexistence of techniques," Revue d'Économie Industrielle, Programme National Persée, vol. 59(1), pages 62-74.
    8. Kapur, Sandeep, 1995. "Technological Diffusion with Social Learning," Journal of Industrial Economics, Wiley Blackwell, vol. 43(2), pages 173-195, June.
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