Abstract
dc:description.abstractIn this dissertation, I examine the evaluation of novel ideas in two essays. In the first, I, along with Hong Luo and Jeffrey Macher, study a novel, low-cost approach to aggregating judgment from a large number of industry experts on ideas that they encounter in their normal course of business in the film industry, where customer appeal is difficult to predict and investment costs are high. The Black List, an annual publication, ranks unproduced scripts based on anonymous nominations from film executives. This approach entails an inherent trade-off: low participation costs enable high response rates; but nominations lack standard criteria, and which voters see which ideas is unobservable and influenced by various factors.
Degree
thesis:*- Name thesis:degree_name
- Doctoral
- Department dc:contributor.department
- Sloan School of Management
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2020
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wahlen, Jesse Michael.
- Advisor dc:contributor.advisor
-
- Ezra W. Zuckerman Sivan.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/126974
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/126974