File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: The coevolution mechanism of stakeholder strategies in the recycled resources industry innovation ecosystem: the view of evolutionary game theory

TitleThe coevolution mechanism of stakeholder strategies in the recycled resources industry innovation ecosystem: the view of evolutionary game theory
Authors
Keywordsevolutionary game model
innovation ecosystem
Recycled resources industry
strategy choice
Issue Date2022
Citation
Technological Forecasting and Social Change, 2022, v. 179, article no. 121627 How to Cite?
AbstractThe recycled resources industry (RRI) is considered one of the pillars for sustainable development. Few studies to date have evaluated the innovation regime in RRI, although it is one of the dilemmas that RRI is facing. Therefore, including “Government,” “Enterprise,” and “University-Research institute” in the evolutionary game model, this paper draws on innovation ecosystem theory and conducts a mechanism analysis to clarify the evolutionary stability of stakeholder strategies in the RRI. The findings highlight six potential Evolutionary Stable Strategies (ESS), with which the ‘ideal state’ can be achieved. Moreover, with and without the subsidy policy, the strategic choices of players are differently interdependent, the divergent factors and the influencing mechanisms to the main stakeholders are identified, and the transmission effect of the influence is found. What's more, a subsidy policy would promote active cooperation between these stakeholders when the subsidy quota is within an appropriate range. This paper unpacks the evolution mechanism black box from the stakeholders’ perspective, which provides a clearer understanding of the evolutionary dynamics of industrial innovation ecosystems. The critical findings also provide evidence for policymakers to facilitate the coevolution of the agents in the innovation ecosystem, thereby improving the overall innovation ability of the RRI.
Persistent Identifierhttp://hdl.handle.net/10722/333528
ISSN
2023 Impact Factor: 12.9
2023 SCImago Journal Rankings: 3.118
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHao, Xinyu-
dc.contributor.authorLiu, Guangfu-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorDong, Liang-
dc.date.accessioned2023-10-06T05:20:12Z-
dc.date.available2023-10-06T05:20:12Z-
dc.date.issued2022-
dc.identifier.citationTechnological Forecasting and Social Change, 2022, v. 179, article no. 121627-
dc.identifier.issn0040-1625-
dc.identifier.urihttp://hdl.handle.net/10722/333528-
dc.description.abstractThe recycled resources industry (RRI) is considered one of the pillars for sustainable development. Few studies to date have evaluated the innovation regime in RRI, although it is one of the dilemmas that RRI is facing. Therefore, including “Government,” “Enterprise,” and “University-Research institute” in the evolutionary game model, this paper draws on innovation ecosystem theory and conducts a mechanism analysis to clarify the evolutionary stability of stakeholder strategies in the RRI. The findings highlight six potential Evolutionary Stable Strategies (ESS), with which the ‘ideal state’ can be achieved. Moreover, with and without the subsidy policy, the strategic choices of players are differently interdependent, the divergent factors and the influencing mechanisms to the main stakeholders are identified, and the transmission effect of the influence is found. What's more, a subsidy policy would promote active cooperation between these stakeholders when the subsidy quota is within an appropriate range. This paper unpacks the evolution mechanism black box from the stakeholders’ perspective, which provides a clearer understanding of the evolutionary dynamics of industrial innovation ecosystems. The critical findings also provide evidence for policymakers to facilitate the coevolution of the agents in the innovation ecosystem, thereby improving the overall innovation ability of the RRI.-
dc.languageeng-
dc.relation.ispartofTechnological Forecasting and Social Change-
dc.subjectevolutionary game model-
dc.subjectinnovation ecosystem-
dc.subjectRecycled resources industry-
dc.subjectstrategy choice-
dc.titleThe coevolution mechanism of stakeholder strategies in the recycled resources industry innovation ecosystem: the view of evolutionary game theory-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.techfore.2022.121627-
dc.identifier.scopuseid_2-s2.0-85127304341-
dc.identifier.volume179-
dc.identifier.spagearticle no. 121627-
dc.identifier.epagearticle no. 121627-
dc.identifier.isiWOS:000819869800002-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats