Resource Allocation Among Competing Innovators

51 Pages Posted: 31 Aug 2020 Last revised: 29 Apr 2021

See all articles by Pin Gao

Pin Gao

The Chinese University of Hong Kong, Shenzhen -School of Data Science; The Chinese University of Hong Kong, Shenzhen - School of Management and Economics

Xiaoshuai Fan

Southern University of Science and Technology (SUSTech) - Department of Information Systems and Management Engineering

Yangguang Huang

Hong Kong University of Science & Technology (HKUST) - Department of Economics

Ying-Ju Chen

Hong Kong University of Science & Technology (HKUST) - Department of Information Systems, Business Statistics and Operations Management

Date Written: May 20, 2020

Abstract

Many innovative products are designed to satisfy the demand of specific target consumers, and thus innovators with new products will inevitably compete with each other in the post-innovation market. We investigate how a profit-maximizing principal should properly allocate her limited resources to support the innovations of multiple potentially competing innovators. We find that as the available resources increase, the number of agents receiving resources may first increase and then decrease. This interesting non-monotone pattern is driven by a trade-off between the risk of innovation failure and rent dissipation due to competition. The results are robust to incorporating an endogenous profit-sharing rule and costly resources. Using the framework, we also analyze a nonprofit principal seeking to maximize the total number of successful innovations, the probability of at least one innovator succeeding, consumer surplus, and total social welfare.

Keywords: innovation; competition; incentives; resource allocation

Suggested Citation

Gao, Pin and Fan, Xiaoshuai and Huang, Yangguang and Chen, Ying-Ju, Resource Allocation Among Competing Innovators (May 20, 2020). Available at SSRN: https://ssrn.com/abstract=3658157 or http://dx.doi.org/10.2139/ssrn.3658157

Pin Gao

The Chinese University of Hong Kong, Shenzhen -School of Data Science ( email )

Room 501, Daoyuan Building, CUHKSZ
Longxiang 2001 Street, Longgang District
Shenzhen, Guangdong 518172
China

The Chinese University of Hong Kong, Shenzhen - School of Management and Economics ( email )

2001 Longxiang Road, Longgang District
Shenzhen, 518172
China

Xiaoshuai Fan (Contact Author)

Southern University of Science and Technology (SUSTech) - Department of Information Systems and Management Engineering ( email )

Guangdong, China
China
+86-19879836523 (Phone)

Yangguang Huang

Hong Kong University of Science & Technology (HKUST) - Department of Economics ( email )

Clear Water Bay
Kowloon, Hong Kong
China

Ying-Ju Chen

Hong Kong University of Science & Technology (HKUST) - Department of Information Systems, Business Statistics and Operations Management ( email )

Clear Water Bay
Kowloon
Hong Kong

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