| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7255344 | Technological Forecasting and Social Change | 2018 | 11 Pages |
Abstract
Besides the empirical proof of the method's suitability and value in assisting managers in their decision, the paper's contributions are both methodological and theoretical. Methodologically, while allowing a peer-based voting procedure, the method enhances the consensus in the firm and limits the possible biases that a supra-decision maker could introduce. Theoretically, the set of proposed criteria includes many facets of the assessment problem, and avoids being tailored to the investigated technological field, so enhancing its generalizability.
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Authors
Davide Aloini, Riccardo Dulmin, Valeria Mininno, Luisa Pellegrini, Giulia Farina,