, Des hiérarchies spécifiques pour d'autres parties prenantes (Direction des systèmes d'information, Services juridiques) et par secteur d'activité (secteur public, entreprise fournisseur de données, secteur bancaire, etc.) seront aussi étudiées. Un prototype de support de l'approche sera développé pour faciliter cette validation. Nous utiliserons ensuite cette hiérarchie pour construire une démarche structurée d

. Remerciements, Les auteurs remercient les membres de la Chaire Stratégie et Gouvernance de l'Information de l'ESSEC, au sein de laquelle cette recherche a été réalisée

L. Adelman, Evaluating decision support and expert systems, 1992.

S. Aier and C. Fischer, Criteria of progress for information systems design theories, Information Systems and E-Business Management, vol.9, pp.133-172, 2011.

C. Ballard, Information Governance Principles and Practices for a Big Data Landscape, 2014.

S. Bennett, What is information governance and how does it differ from data governance, Governance Directions, vol.69, p.462, 2017.

K. Boukhayma and A. Elmanouar, Evaluating Decision Support Systems : A Literature Review, 15th International Conference on Intelligent Systems DeSign and Applications, 2015.

A. Cleven, P. Gubler, and K. M. Hüner, Design alternatives for the evaluation of design science research artifacts, Proc. of the 4 th Int. Conf. on Design Science Research in Information Systems and Technology, pp.1-8, 2009.

S. Cronholm and G. Goldkuhl, Strategies for Information Systems Evaluation -Six Generic Types, Electronic Journal of Information Systems Evaluation, vol.6, issue.2, pp.65-74, 2003.

J. Foster, J. Mcleod, J. Nolin, and E. Greifeneder, Data work in context: Value, risks, and governance, Journal of the Association for Information Science and Technology, vol.69, pp.1414-1427, 2018.

. Gartner, Gartner IT glossary, 2019.

S. Gregor, Building theory in a practical science, Information systems foundations: the role of design science, pp.51-74, 2010.

S. Gregor and A. R. Hevner, Positioning and Presenting Design Science Research for Maximum Impact, MIS Quarterly, vol.37, pp.337-355, 2013.

A. R. Hevner, S. T. March, J. Park, and S. Ram, Design Science in Information Systems Research, MIS Quarterly, vol.28, pp.75-105, 2004.

P. Järvinen, On reviewing of results in design research, Proceedings, pp.1388-1397, 2007.

L. Moigne and J. , Modeling for Reasoning Socio-economic Behaviors, Cybernetics & Human Knowing, vol.13, pp.9-26, 2006.

S. T. March and G. F. Smith, Design and Natural Science Research on Information Technology, Decision Support Systems, vol.15, pp.251-266, 1995.

S. Maynard, D. R. Arnott, and F. Burstein, A Method For Multiple Criteria Evaluation of DSS In A Multiple-Constituency Environment, Proceedings of the Fifth International Conference of the International Society for Decision Support Systems, 1999.

K. Peffers, M. Rothenberger, T. Tuunanen, and R. Vaezi, Design science research evaluation, Proc. of the 7th Int. Conf. on Design Science Research in Information Systems and Technology (DESRIST 2012), pp.381-397, 2012.

N. Prat, I. Comyn-wattiau, and J. Akoka, A Taxonomy of Evaluation Methods for Information Systems Artifacts, Journal of Management Information Systems, vol.32, pp.229-267, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01272048

D. Proença, R. Vieira, and J. Borbinha, A Maturity Model for Information Governance, Proceedings 11th Iberian Conference on Information Systems and Technologies (CISTI), 2016.

C. Rhee and H. R. Rao, Evaluating Decision Support Systems. Handbook on Decision Support Systems 2, 2008.

T. L. Saaty, Highlights and Critical Points in the Theory and Application of the Analytic Hierarchy Process, European Journal of Operational Research, vol.74, pp.426-447, 1994.

M. Scriven, The Methodology of Evaluation, Perspectives of curriculum evaluation, pp.39-83, 1967.

H. Simon, The sciences of the artificial, 1996.

L. Skyttner, General systems theory: problems, perspectives, practice, 2005.

R. S. Sojda, Empirical Evaluation of Decision Support Systems: Concepts and an Example for Trumpeter Swan Management, 2004.

R. F. Smallwood, Information Governance: Concepts, Strategies, and Best Practices, 2014.

C. Sonnenberg and J. Vom-brocke, Evaluations in the science of the artificial: Reconsidering the build-evaluate pattern in design science research, Proc. of the 7th Int. Conf. on Design Science Research in Information Systems and Technology (DESRIST 2012), pp.381-397, 2012.

J. Venable, J. Pries-heje, and R. Baskerville, A comprehensive framework for evaluation in design science research, Proc. of the 7th Int. Conf. on Design Science Research in Information Systems and Technology (DESRIST 2012), pp.381-397, 2012.