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An Examination of the Strategic Alignment Literature in IS through a Co-Citation Analysis

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Date
2012
Indexation documentaire
Direction d'entreprise
Subject
Technological innovations; Henderson and Venkatraman’s strategic alignment model (SAM)
Code JEL
L.L2.L23; L.L1.L10
Titre du colloque
AMCIS 2012 : 18th Americas Conference on Information Systems
Date du colloque
08-2012
Ville du colloque
Seattle
Pays du colloque
UNITED STATES
Titre de l'ouvrage
AMCIS 2012 Proceedings
Nom de l'éditeur
Association for Information Systems
Année
2012
ISBN
978-0-615-66346-3
URI
https://basepub.dauphine.fr/handle/123456789/11724
Collections
  • DRM : Publications
Métadonnées
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Auteur
Kalika, Michel
1032 Dauphine Recherches en Management [DRM]
Renaud, Alexandre
1032 Dauphine Recherches en Management [DRM]
Walsh, Isabelle
1032 Dauphine Recherches en Management [DRM]
Type
Communication / Conférence
Nombre de pages du document
Paper 28
Résumé en anglais
In this article we study the diffusion of Henderson and Venkatraman’s strategic alignment model (SAM) through the analysis of their 1993 seminal article’s legacy. We investigate all works that cite this article and show that this corpus constitutes a homogeneous research field that does not question the basic assumptions of the original model. We investigate the intellectual structure of this field. Using different techniques of data analysis such as author co-citation analysis, multidimensional scaling and factor analysis, we confirm the existence of this field of research and delineate different theoretical pillars, i.e. the hypotheses and premises of this field. Despite a first movement of dissociation between SAM and its theoretical origins, the intellectual structure of the field reinforces the original hypotheses and premises. This field mostly does not challenge SAM’s fundamental assumptions although these assumptions may artificially constrain organizational reality and take into account a very limited aspect of it. We conclude by an appeal to reconsider SAM through other possible alternative perspectives and assumptions. This might well lead to an improvement of IT projects’ success rate in organizations.

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