Optimal design of e-service : a robust approach

Moresino, Francesco (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale)

Service design optimizers benefited greatly from the development of conjoint analysis, which appeared more than forty years ago. Conjoint analysis is a powerful and popular method to estimate consumers’ preferences. As this method is based on a survey, the estimated utility functions can be subject to inaccuracies. In this paper, we propose a service design optimizer that combines robust programming and conjoint analysis. This permits one to identify the optimal service, even when the utility functions are subject to uncertainties.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG - Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Publisher:
Bucharest, Romania, 30-31 May 2019
Date:
2019-05
Bucharest, Romania
30-31 May 2019
Pagination:
Pp. 441-446
Published in:
Proceedings of the 18th International Conference on Informatics in Economy (IE 2019)
DOI:
ISSN:
2284-7472
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2019-06-07, last modified 2019-06-11

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