DocumentCode :
2856542
Title :
Market information, scope economies, and make-or-buy decision under information asymmetry
Author :
Xu, Suxiu ; Lu, Qiang ; Hu, Xiaoming
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
fYear :
2011
fDate :
6-9 Dec. 2011
Firstpage :
1237
Lastpage :
1241
Abstract :
This paper studies a make-or-buy (M-B) model in which a firm (say Firm 1) may outsource a product to the unique vendor, the monopolist in the outsourcing market, or produce in-house. A traditional solution is provided based on both parties´ perfect information (PI). In the case of asymmetric information (AI), the vendor abandons the virtual information reported by Firm 1 and announces its “supply menu” to guarantee a certain yield for itself. We demonstrate, when outsourcing occurs under AI, both parties´ expected profits increase with (Firm 1´s) forecast accuracy if and only if “good” news is received. Outsourcing strictly dominates in-house production if the yield of the vendor´s production input is sufficiently low or its economies of scope are remarkably attractive. Furthermore, it is optimal for Firm 1 to hold information at first and decide whether or not to pool information only after the vendor´s “supply menu” is announced. However, the vendor´s profit is constrained by the trade-off between the coordination effort that invested on pursuing Firm 1 to pool information and the advantages resulting from its status of outsourcing market, production cost, as well as scope economies.
Keywords :
decision making; outsourcing; asymmetric information; in-house production; information asymmetry; make-or-buy decision; market information; monopolist; perfect information; product outsourcing; production cost; scope economies; supply menu; Accuracy; Artificial intelligence; Context; Economics; Outsourcing; Production; Uncertainty; Outsourcing; asymmetric information; decision analysis; demand information; scope economies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location :
Singapore
ISSN :
2157-3611
Print_ISBN :
978-1-4577-0740-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2011.6118113
Filename :
6118113
Link To Document :
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