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Research on the evolutionary game of knowledge pricing in an open innovation environment: from the perspective of social dual innovation balance

Xuejiao An (College of Economy and Management, Beijing Information Science and Technology University, Beijing, China)
Lin Qi (College of Economy and Management, Beijing Information Science and Technology University, Beijing, China)
Jian Zhang (College of Economy and Management, Beijing Information Science and Technology University, Beijing, China)
Xinran Jiang (Beijing Information Science and Technology University, Beijing, China)

Asia Pacific Journal of Marketing and Logistics

ISSN: 1355-5855

Article publication date: 15 October 2021

Issue publication date: 5 July 2022

288

Abstract

Purpose

This paper aims to find out the factors that influence the choice of dual innovation strategies in the process of knowledge pricing and transaction between first-mover and late-mover companies in an open innovation environment and also to find the key factors that affect the company's strategic choice in factors such as heterogeneous market environment, demand elasticity, exploration risk intellectual property prices and transaction cost.

Design/methodology/approach

This study uses the Cournot equilibrium and Stackelberg two-stage master-slave game model to describe the evolutionary process of knowledge pricing in an open innovation environment of first-mover and late-mover companies.

Findings

Research shows that in an open innovation environment, the formation of a dual innovation strategy in the pricing process of corporate intellectual property transactions is a complex process. Changes in one-time transaction costs and changes in the inverse demand coefficient of the innovation market play the decisive role in the choice of dual innovation strategies. When the demand of the innovation market is moderate, the inverse demand coefficient of the innovation market and the one-time transaction cost has an inverted U-shaped influence relationship. As the innovation market's inverse demand coefficient and the one-time transaction cost increase at the same time, the degree of differentiation of the enterprise's dual innovation strategy choice gradually reduces; when the one-time transaction cost is the largest, the degree of strategy differentiation is minimized.

Originality/value

Based on the above relationship, suggestions are made to guide enterprises in the knowledge pricing and transaction process in an open innovation environment, promote enterprises to form a dislocation development and complementary advantages in the knowledge innovation ecological chain and improve the overall innovation efficiency of the industry.

Keywords

Acknowledgements

The authors are grateful to the anonymous reviewers and the editor for their valuable comments and suggestions that have greatly improved the quality of this paper.

Funding: This research was funded by the National Key R&D Program of China (2017YFB1400400), Youth Talent Promotion Program of Beijing Association for Science and Technology (2020- 2022-16), Social Science Research Program of Beijing Education Committee (SM202011232005), Program for Promoting the Connotative Development of Beijing Information Science & Technology University (5212110901, 5026010961).

Citation

An, X., Qi, L., Zhang, J. and Jiang, X. (2022), "Research on the evolutionary game of knowledge pricing in an open innovation environment: from the perspective of social dual innovation balance", Asia Pacific Journal of Marketing and Logistics, Vol. 34 No. 7, pp. 1392-1415. https://doi.org/10.1108/APJML-05-2021-0320

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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