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Impact of open innovation on industries and firms – A dynamic complex systems view

Sengupta, Abhijit and Sena, Vania (2020) Impact of open innovation on industries and firms – A dynamic complex systems view Technological Forecasting and Social Change, 159, 120199.

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This paper develops novel behavioural models of open innovation (OI) for competitive markets and uses them to compare the impact of two types of OI frameworks – open source (OS) and patent-licensing (PL). The dynamic consequences of OI, for both OS and PL, are studied using a complex adaptive systems approach. We examine how profits, technology levels, R&D investment, technology adoption and market structure evolve under each and are impacted by underlying market characteristics. While both OS and PL are found to be equivalent in technology outcomes, OS comes with additional advantages to participating firms. Firms in the OS framework earn higher profit and are more efficient with their R&D investments. The industry is less concentrated under OS than under PL, except when market size is very large. In both frameworks, consumer preference for new product adoption has a significant impact. When consumers adopt newly introduced products relatively quickly, market concentration is the higher and overall rate of technological progress slower. These results contribute towards a deeper theoretical understanding of OI, opening new avenues for future research.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Surrey Business School
Authors :
Sena, Vania
Date : 17 July 2020
DOI : 10.1016/j.techfore.2020.120199
Copyright Disclaimer : © 2020 Elsevier Inc. All rights reserved.
Related URLs :
Additional Information : Embargo OK Metadata OK No Further Action
Depositing User : James Marshall
Date Deposited : 19 Aug 2020 08:51
Last Modified : 20 Aug 2020 08:52

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