@article{Moresino:3605,
      recid = {3605},
      author = {Moresino, Francesco},
      title = {Optimal design of e-service : a robust approach},
      publisher = {30-31 May 2019},
      journal = {Proceedings of the 18th International Conference on  Informatics in Economy (IE 2019)},
      address = {Bucharest, Romania. 2019-05},
      number = {CONFERENCE},
      pages = {Pp. 441-446},
      abstract = {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.},
      url = {http://arodes.hes-so.ch/record/3605},
      doi = {https://doi.org/10.12948/ie2019.07.02},
}