000			01582naa a2200193uu 4500
001			0032410392637
003			OSt
005			20190211170628.0
008			100324s2009 xx ||||gr |0|| 0 eng d
100	1		_aZHAO, Guozhen _939153
245	1	0	_aEnhancing R&D in science-based industry : _ban optimal stopping model for drug discovery
260			_aExeter, UK : _bElsevier, _cNovember 2009
520	3		_aDrug discovery is a process of science work full of exploration and complexity. Drug researchers face the dilemma of either working ‘forever’ to create a perfect drug or delivering a workable drug within an acceptable deadline to both save lives and make a profit. Specifically, in the compound screening and optimization stage, drug researchers must decide whether or not to stop the research and deliver the result for clinical testing. This paper proposes a model of optimal stopping time to help drug researchers make such decisions. It examines the decision strategies drug researchers should take through maximizing their objective function. The numerical examples given here show that this model is widely applicable. The model offers potential merits in terms of its ability to clarify drug researchers’ decision-making practices and helping managers maneuver through the jungle of science work.
700	1		_aCHEN, Wen _939154
773	0	8	_tInternational Journal of Project Management _g27, 8, p. 754-764 _dExeter, UK : Elsevier, November 2009 _xISSN 02637863 _w
942			_cS
998			_a20100324 _b1039^b _cDaiane
998			_a20100326 _b1044^b _cCarolina
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c32080 _d32080
041			_aeng