Research on Dynamic Optimization and Coordination Strategy of Value Co-Creation in Digital Innovation Ecosystems

Based on the theory of differential games and guided by the realization of value co-creation, this paper discusses the value co-creation of a technology innovation platform, scientific innovation layer, and support layer in the digital innovation ecosystem. Given the dynamic change characteristics of digital technology innovation and resource integration, this paper constructs a differential game decision model. The conclusions are as follows: (1) The Stackelberg master–slave game and collaborative model have incentive effects. The returns in both methods increase over time and finally reach a stable value. In the collaborative game model, the effort level of participants is the highest and realizes the Pareto optimality. (2) The digital technology innovation capacity coefficient, digital technology assimilation capacity and absorption capacity coefficient, and resource integration cost coefficient are the key factors affecting the optimal return of the innovation ecosystem. (3) The two-way cost-sharing path can balance the innovation ecosystem, in which the technology innovation platform shares the cost and provides incentives to the scientific innovation layer and the support layer. The sharing ratio and incentive degree are positively correlated with the benefit of value co-creation. However, if the income distribution coefficient is not appropriately set, the participants’ income will decrease.

[1]  Huan Zou,et al.  Research on cooperative innovation strategy of multi-agent enterprises considering knowledge innovation and environmental social responsibility , 2022, IEEE Access.

[2]  J. Peltier,et al.  Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems , 2021 .

[3]  R. Pesch,et al.  Digital innovation management for entrepreneurial ecosystems: services and functionalities as drivers of innovation management software adoption , 2021, Review of Managerial Science.

[4]  Maud Van den Broeke,et al.  Engaging in or escaping co-creation? An analytical model , 2021 .

[5]  G. B. Benitez,et al.  Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation , 2020 .

[6]  Bala Shetty,et al.  Two Is Better Than One: A Dynamic Analysis of Value Co‐Creation , 2020 .

[7]  Justin Tan,et al.  Disruptive innovation and technology ecosystem: The evolution of the intercohesive public–private collaboration network in Chinese telecommunication industry , 2020 .

[8]  Hua Ye,et al.  Value Cocreation for Service Innovation: Examining the Relationships between Service Innovativeness, Customer Participation, and Mobile App Performance , 2020, J. Assoc. Inf. Syst..

[9]  Eloi Junior Damke,et al.  Dynamics of digital entrepreneurship and the innovation ecosystem , 2019, International Journal of Entrepreneurial Behavior & Research.

[10]  S. Nambisan,et al.  Global platforms and ecosystems: Implications for international business theories , 2019, Journal of International Business Studies.

[11]  Kecheng Liu,et al.  Digital business ecosystem: Literature review and a framework for future research , 2019, Int. J. Inf. Manag..

[12]  K. Valkokari,et al.  Innovation Ecosystems as Structures for Value Co-Creation , 2019, Technology Innovation Management Review.

[13]  Bradley S. Price,et al.  Using Machine Learning To Cocreate Value Through Dynamic Customer Engagement In A Brand Loyalty Program , 2019 .

[14]  Nathalie Sick,et al.  Assessing value creation in digital innovation ecosystems: A Social Media Analytics approach , 2018, J. Strateg. Inf. Syst..

[15]  Constance E. Helfat,et al.  Dynamic and integrative capabilities for profiting from innovation in digital platform-based ecosystems , 2018, Research Policy.

[16]  W. Johnston,et al.  Tension in a value co-creation context: a network case study , 2017 .

[17]  Kalle Lyytinen,et al.  Digital Innovation Management: Reinventing Innovation Management Research in a Digital World , 2017, MIS Q..

[18]  Oscar F. Bustinza,et al.  Servitization, digitization and supply chain interdependency , 2017, Industrial Marketing Management.

[19]  Ron Adner,et al.  Innovation ecosystems and the pace of substitution: Re‐examining technology S‐curves , 2016 .

[20]  M. Porter,et al.  How Smart, Connected Products Are Transforming Companies , 2015 .

[21]  P. Weill,et al.  Thriving in an increasingly digital ecosystem , 2015 .

[22]  R. G. Fichman,et al.  Digital Innovation as a Fundamental and Powerful Concept in the Information Systems Curriculum , 2014, MIS Q..

[23]  S. Nambisan,et al.  Entrepreneurship in Innovation Ecosystems: Entrepreneurs’ Self–Regulatory Processes and Their Implications for New Venture Success , 2013 .

[24]  A. Gawer,et al.  Industry Platforms and Ecosystem Innovation , 2013 .

[25]  Daniela Corsaro,et al.  Actors' Heterogeneity in Innovation Networks , 2012 .

[26]  Wonseok Oh,et al.  Value Cocreation and Wealth Spillover in Open Innovation Alliances , 2012, MIS Q..

[27]  Kalle Lyytinen,et al.  Research Commentary - The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research , 2010, Inf. Syst. Res..

[28]  Ron Adner,et al.  Value Creation in Innovation Ecosystems: How the Structure of Technological Interdependence Affects Firm Performance in New Technology Generations , 2009 .

[29]  M. Holbrook Consumption experience, customer value, and subjective personal introspection: An illustrative photographic essay , 2006 .

[30]  Ron Adner Match your innovation strategy to your innovation ecosystem. , 2006, Harvard business review.

[31]  A. Neely,et al.  Networking and Innovation: A Systematic Review of the Evidence , 2004 .

[32]  R. Normann,et al.  From value chain to value constellation: designing interactive strategy. , 1993, Harvard business review.

[33]  J. F. Moore,et al.  Predators and prey: a new ecology of competition. , 1993, Harvard business review.

[34]  A. Tansley The Use and Abuse of Vegetational Concepts and Terms , 1935 .