Three essays on procurement under bargaining and asymmetric information.
dc.contributor.author | Kostamis, Dimitrios | |
dc.contributor.advisor | Duenyas, Izak | |
dc.date.accessioned | 2016-08-30T16:19:22Z | |
dc.date.available | 2016-08-30T16:19:22Z | |
dc.date.issued | 2007 | |
dc.identifier.uri | http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:3276212 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/126746 | |
dc.description.abstract | This dissertation focuses on how information asymmetry and bargaining power affect procurement decisions in supply chains. Both information asymmetry and bargaining power are of great importance in practice. It is rare that buyers and suppliers know all relevant data about each others' costs, demands or qualities. Yet, most supply chain management literature to date assumes common knowledge of this information. It is also rare that firms specify all purchasing conditions in a prior procurement contract. Further negotiation is necessary and firms do not come to this negotiation with equal bargaining power. This dissertation is concerned with modeling these complex phenomena and obtaining significant managerial insights on how firms' private information or bargaining power affect their pricing, production, and sourcing decisions. Its main findings should be of interest to managers; it is shown in various business contexts that there are cases where too much private information or too much bargaining power can hurt firms rather than help them. | |
dc.format.extent | 144 p. | |
dc.language | English | |
dc.language.iso | EN | |
dc.subject | Asymmetric | |
dc.subject | Bargaining | |
dc.subject | Essays | |
dc.subject | Information | |
dc.subject | Procurement | |
dc.subject | Supply Chains | |
dc.subject | Three | |
dc.subject | Under | |
dc.title | Three essays on procurement under bargaining and asymmetric information. | |
dc.type | Thesis | |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Applied Sciences | |
dc.description.thesisdegreediscipline | Operations research | |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/126746/2/3276212.pdf | |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.