Resumo

Título do Artigo

ECOSYSTEM SMARTIFICATION
Abrir Arquivo
Ver apresentação do trabalho

Palavras Chave

Innovation Ecosystems
Artificial Intelligence
Redesign

Área

Gestão da Inovação

Tema

Redes, Ecossistemas e Ambientes de Inovação

Autores

Nome
1 - Mauro Estefano Kowalski
Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo - FEA - Administração
2 - Leonardo Augusto de Vasconcelos Gomes
Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo - FEA - Departamento de Administração

Reumo

The evolution of artificial intelligence (AI) impacts systemic collaboration to create solutions and companies are reacting by smartifying their ecosystems. We posit that ecosystem smartification involves structurally aligning partners to create AI-based solutions. Research addresses different perspectives on how ecosystems can be digitized and deliver digital value, but there are still unknown aspects in the literature on ecosystem that creates AI-based solutions. This study aims to understand the process of redesign, experimentation and expansion of the ecosystem that creates AI solutions.
The objective of this study is to provide an understanding of the process of redesign, experimentation and expansion of the smartified ecosystem. In this way, it seeks to answer the following research question: “how are the focal companies involved in smartification redesigning their ecosystem to create AI-based solutions?”. To achieve this goal, we performed a systematic literature review (SLR), combining bibliometric and content analysis.
The examination of the previous literature for the construction of the SLR, which involved the content analysis and synthesis of 96 articles, was based on the relationships between ecosystems, AI, big data, digital innovation and digital transformation.
We started by explaining the need for ecosystem redesign to drive the development of AI solutions. This process involves redesigning the structure (actors, links and roles) and creating new governance to handle data and AI. Next, we highlight the need to experiment with the new structure, architecture and governance proposal developed in the previous phase. Finally, we explain how the focal companies that develop solutions with AI expand the performance of the smartified ecosystem, reaching new customers and markets.
In this study, we investigate how focal companies are redesigning their ecosystems to create AI-powered solutions. We used an SLR and conceptualized the process of redesigning, experimenting and expanding the ecosystem. We present influential research on creating AI solutions and propose a framework for successful smartification. This analysis of the current state of academic production paves the way for future investigations on collaboration in the creation of AI-based solutions.
Adner, R. (2017). Ecosystem as structure: An actionable construct for strategy. Journal of management, 43(1), 39-58. Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574-587. Stahl, B. C. (2022). Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence. International Journal of Information Management, 62, 102441.