Authors:
Fabrizio d'Amore
1
;
Luigi Laura
1
;
Luca Luciani
2
and
Fabio Pagliarini
2
Affiliations:
1
Sapienza Univ. of Rome, Italy
;
2
INVITALIA Agenzia Nazionale per l’Attrazione degli Investimenti e lo Sviluppo d’Impresa S.p.A, Italy
Keyword(s):
eGovernment, Interventions Planning.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
e-Business
;
Enterprise Information Systems
;
Government
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
We consider the scenario where an organ of a public administration, which we refer as the decisionmaker, is requested to plan one or more interventions in some framework related to the Information Society or the eGovernment set of actions. We propose a methodology to support the decisionmaker in orienting, planning, and evaluating multiple (partially overlapping) interventions. In particular, we address two main problems: first, how to decide the structure of the interventions and how to determine the relevant parameters involved; second, how to set up a scoring system for comparing single interventions and its extension to the case of multiple interventions. The methodology unexpectedly shows that it is not always the case that the best outcome is the one obtained by the best projects. We formally model the problem and discuss its computational complexity. Our approach is also effective in process of selecting, from a set of submitted proposals, the ones to be funded.