Heuristic rules in the field: Evidence from royalty shares in scientific teams

Using field data from a large U.S. technology transfer organization with over $50 million in annual revenue, we investigate four related issues regarding the sharing of licensing revenues by academic teams. First, we find that the main empirical regularity is a heuristic-based allocation of shares 1...

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Main Authors: KOTHA, Reddi, LOVALLO, Dan
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Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research_all/12
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1017&context=lkcsb_research_all
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spelling sg-smu-ink.lkcsb_research_all-10172017-06-08T06:29:49Z Heuristic rules in the field: Evidence from royalty shares in scientific teams KOTHA, Reddi LOVALLO, Dan Using field data from a large U.S. technology transfer organization with over $50 million in annual revenue, we investigate four related issues regarding the sharing of licensing revenues by academic teams. First, we find that the main empirical regularity is a heuristic-based allocation of shares 1/n, equal shares to all unique inventors in a single invention team, and the use of the partition dependence (PD) rule, whereby inventors receive equal share within an invention and shares across inventions included in the same contract are equal. Second, when we examine the performance consequences of such equal sharing, we find it is negatively related to performance. Third, using both matched sample estimations and examining strategic switchers, i.e., the case of inventors who switch between equal and unequal sharing, we find that self-selection rather than shirking explains the negative performance. Finally, the pattern of their switching is random in time — i.e., there is no movement toward unequal rules over time so inventors are not learning to use unequal rules. 2014-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research_all/12 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1017&context=lkcsb_research_all http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School of Business eng Institutional Knowledge at Singapore Management University incentive sharing teams heuristics Labor Relations Management Sciences and Quantitative Methods
institution Singapore Management University
building SMU Libraries
country Singapore
collection InK@SMU
language English
topic incentive sharing
teams
heuristics
Labor Relations
Management Sciences and Quantitative Methods
spellingShingle incentive sharing
teams
heuristics
Labor Relations
Management Sciences and Quantitative Methods
KOTHA, Reddi
LOVALLO, Dan
Heuristic rules in the field: Evidence from royalty shares in scientific teams
description Using field data from a large U.S. technology transfer organization with over $50 million in annual revenue, we investigate four related issues regarding the sharing of licensing revenues by academic teams. First, we find that the main empirical regularity is a heuristic-based allocation of shares 1/n, equal shares to all unique inventors in a single invention team, and the use of the partition dependence (PD) rule, whereby inventors receive equal share within an invention and shares across inventions included in the same contract are equal. Second, when we examine the performance consequences of such equal sharing, we find it is negatively related to performance. Third, using both matched sample estimations and examining strategic switchers, i.e., the case of inventors who switch between equal and unequal sharing, we find that self-selection rather than shirking explains the negative performance. Finally, the pattern of their switching is random in time — i.e., there is no movement toward unequal rules over time so inventors are not learning to use unequal rules.
format text
author KOTHA, Reddi
LOVALLO, Dan
author_facet KOTHA, Reddi
LOVALLO, Dan
author_sort KOTHA, Reddi
title Heuristic rules in the field: Evidence from royalty shares in scientific teams
title_short Heuristic rules in the field: Evidence from royalty shares in scientific teams
title_full Heuristic rules in the field: Evidence from royalty shares in scientific teams
title_fullStr Heuristic rules in the field: Evidence from royalty shares in scientific teams
title_full_unstemmed Heuristic rules in the field: Evidence from royalty shares in scientific teams
title_sort heuristic rules in the field: evidence from royalty shares in scientific teams
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/lkcsb_research_all/12
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1017&context=lkcsb_research_all
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