Drugs available in the market today, selected several years ago under very uncertain future scenario, have experienced a long and expensive process of research and development carried out following both a closed and an open innovation path. To support this critical selection process, we propose a Decision Support System, able to choose among different candidates the most promising drugs along their best development path. The Decision Support System, based on a real options portfolio optimization model, mapping tools, and what-if rules as well, has been applied to a numerical example available in literature, and the research findings show interesting managerial and academic implications

Lo Nigro G.,, Morreale A.,, Abbate L., (2016). An Open Innovation Decision Support System to Select a Biopharmaceutical R&D Portfolio. MANAGERIAL AND DECISION ECONOMICS, 37(6), 392-406 [10.1002/mde.2727].

An Open Innovation Decision Support System to Select a Biopharmaceutical R&D Portfolio

LO NIGRO, Giovanna
;
MORREALE, Azzurra;ABBATE, Lorenzo
2016-01-01

Abstract

Drugs available in the market today, selected several years ago under very uncertain future scenario, have experienced a long and expensive process of research and development carried out following both a closed and an open innovation path. To support this critical selection process, we propose a Decision Support System, able to choose among different candidates the most promising drugs along their best development path. The Decision Support System, based on a real options portfolio optimization model, mapping tools, and what-if rules as well, has been applied to a numerical example available in literature, and the research findings show interesting managerial and academic implications
2016
Settore ING-IND/35 - Ingegneria Economico-Gestionale
Lo Nigro G.,, Morreale A.,, Abbate L., (2016). An Open Innovation Decision Support System to Select a Biopharmaceutical R&D Portfolio. MANAGERIAL AND DECISION ECONOMICS, 37(6), 392-406 [10.1002/mde.2727].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/168180
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