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

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
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: http://hdl.handle.net/10447/168180
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