EconPapers    
Economics at your fingertips  
 

Supply contracting and process innovation in a dynamic supply chain with information asymmetry

Jian Ni, Jun Zhao and Lap Keung Chu

European Journal of Operational Research, 2021, vol. 288, issue 2, 552-562

Abstract: We investigate the process innovation and contracting decisions of a dynamic supply chain consisting of a supplier and a manufacturer, with the manufacturer possessing private information about her efficiency of process innovation. To overcome the potential adverse selection problem due to the asymmetric information, the supplier designs a menu of supply contracts that stipulates both the wholesale price and the purchasing quantity. We find that under information asymmetry, the supplier will optimally set a higher wholesale price but a lower purchasing quantity for the manufacturer with high innovation efficiency than that for the manufacturer with low innovation efficiency. As a consequence, the manufacturer with high innovation efficiency will significantly underinvest in innovation due to information asymmetry in addition to the impact of the double marginalization effect. Moreover, although a longer contract period tends to better motivate innovation, it can also magnify the influences of adverse selection on supply chain contracting, leading to a higher wholesale price for the manufacturer with high innovation efficiency.

Keywords: OR in research and development; Supply chain; Process innovation; Wholesale contract; Information asymmetry (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037722172030549X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:288:y:2021:i:2:p:552-562

DOI: 10.1016/j.ejor.2020.06.008

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ejores:v:288:y:2021:i:2:p:552-562