DocumentCode :
766119
Title :
A search strategy for assessing a business opportunity
Author :
Shepherd, Dean A. ; Lévesque, Moren
Author_Institution :
Leeds Sch. of Bus., Colorado Univ., Boulder, CO, USA
Volume :
49
Issue :
2
fYear :
2002
fDate :
5/1/2002 12:00:00 AM
Firstpage :
140
Lastpage :
154
Abstract :
The optimal stopping model presented here explores opportunity assessment with reference to a tradeoff between, on the one hand, reducing decision accuracy and, on the other hand, both increasing search costs and a higher probability that the opportunity is grasped by a competitor. From this model we propose a heuristic that specifies three threshold lines to define four decision areas. Decision area 1 prescribes the business opportunity be accepted, decision areas 2 and 4 prescribe that search continue, and decision area 3 prescribes that the business opportunity be rejected. We use a simulation to investigate the robustness of the heuristic beyond the model´s boundary conditions
Keywords :
commerce; decision theory; dynamic programming; research and development management; business opportunity assessment; decision areas; decision model; dynamic programming; entrepreneurship; heuristic robustness; innovation; opportunity recognition; opportunity search; optimal stopping; search costs; search strategy; sequential information gathering; simulation; threshold lines; Boundary conditions; Cost function; Dynamic programming; Information management; Innovation management; Investments; Research and development; Robustness; Technological innovation;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/TEM.2002.1010882
Filename :
1010882
Link To Document :
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