Essays in sustainable operations and intellectual property management
Abstract/Contents
- Abstract
- This dissertation contains three essays that study leading issues in the area of sustainable operations management and intellectual property management. In Chapter 2, we present a proof-of-concept model of a manufacturing industry deciding whether to produce a product in a region with environmental regulations, or an unregulated region. We account for the environmental and societal costs that are generally ignored in traditional production models. We include the economic effects of pollution directly through regulations, and indirectly through decreased worker productivity. By including pollution externalities in our model, we demonstrate how investments in preventative capital (i.e., technology that reduces pollution during manufacturing) can ultimately reduce economic costs to the industry while simultaneously improving societal health conditions. Chapter 3 studies how an intellectual property marketplace (IPMP) can be used as a strategic means of licensing technologies with low monetary value, as is the case with many sustainable technologies. IPMPs allow patent holders to proliferate technology across multiple firms at low cost, but lack the explicit control of bilateral licensing. Using a multi-stage game theoretic framework, we analyze optimal contracts under IPMP dynamics. We further prove that when demand for the sustainable technology is relatively low relative to the investment cost of implementing the technology, IPMP licensing may replicate the profits attainable with the more expensive bilateral licensing approach. In Chapter 4, we consider the strategic licensing of a technology whose value is not yet fully understood. By selling unit contract licenses, which permits a licensee to produce an established number of units based on a patented technology, the patent holder retains ownership of the patent while still monetizing the technology. Over time, the true value of the technology becomes known as repeated observations allow all firms to inform their valuations. We use a Bayesian learning framework to demonstrate how unit contract licensing can be superior to patent auctions (which have historically been the most profitable means of licensing for an external patent holder) in the case that the demand distribution for the technology is sufficiently light-tailed. Environmental sustainability has become a pressing issue for firms, governments, non-government organizations, and consumers alike. Yet, the operations management literature is surprisingly sparse in models that incorporate concerns for the environment and human health in addition to economic interests. The research we present in this dissertation begins to bridge this gap.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2012 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Greenia, Daniel |
|---|---|
| Associated with | Stanford University, Department of Management Science and Engineering |
| Primary advisor | Erhun, Feryal |
| Primary advisor | Hausman, Warren H |
| Thesis advisor | Erhun, Feryal |
| Thesis advisor | Hausman, Warren H |
| Thesis advisor | Rafinejad, Dariush, 1943- |
| Advisor | Rafinejad, Dariush, 1943- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Daniel Bryce Greenia. |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2012. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2012 by Daniel Greenia
- License
- This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).
Also listed in
Loading usage metrics...