Publication Type
Journal Article
Version
publishedVersion
Publication Date
8-2018
Abstract
Whencommercializing technology, the lack of proven results and a reluctance toinvest upfront resources hamper efforts by firms to work jointly with inventorsto bring new discoveries to market. An effective contract payment structure – amix of upfront and royalty payments – can help overcome these hurdles. Weconduct our research in university technology licensing, where licensingmanagers act as intermediaries to unite inventors and licensee firms. Rather than leveraging their experience to bargainfor maximum payments, highly experienced managers offer contractual paymentstructures that trade lower upfront payments for higher royalty payments inorder to signal value. The signal instills confidence in the value of the partnership forskeptical licensee firms, and experienced licensingmanagers can amplify signals as needed to overcome the uncertainties inherentin technology commercialization. By explicitly addressing these variationsin signal strength, we develop new theory that builds on classical signalingprinciples. We test and confirm these predictions in a sample of over 950 invention-licensingcontracts. In addition to advancing signaling theory, our work has implicationsfor academic entrepreneurship, and for how experience shapes value-sharingagreements in collaborative innovations.
Discipline
Operations and Supply Chain Management | Strategic Management Policy | Technology and Innovation
Research Areas
Operations Management; Strategy and Organisation
Publication
Academy of Management Journal
Volume
61
Issue
4
First Page
1307
Last Page
1342
ISSN
0001-4273
Identifier
10.5465/amj.2015.1233
Publisher
Academy of Management
Citation
KOTHA, Reddi; CRAMA, Pascale; and KIM, Phillip H..
Experience and signaling value in technology licensing contract payment structures. (2018). Academy of Management Journal. 61, (4), 1307-1342.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6024
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.5465/amj.2015.1233
Included in
Operations and Supply Chain Management Commons, Strategic Management Policy Commons, Technology and Innovation Commons