AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research

Thommie Burström*, Vinit Parida, Tom Lahti, Joakim Wincent

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

Abstract

Manufacturing incumbents find it difficult to integrate AI in their traditional business models. This paper draws on the research question: How does manufacturing incumbents use AI for enabling business model innovation in industrial ecosystems? We use qualitative method in order to study four large global manufacturing incumbents that are transforming their business models with AI. We performed more than 30 semi-structured in-depth interviews with strategic key personnel in order to understand how they have succeeded with implementing AI and transforming business models. Our main contribution establishes the need for AI business-model innovation to be aligned with ecosystem innovation. Specifically, in short-term incumbents may use ecosystem reconfiguration strategy, whereas long-term strategies relate to ecosystem revitalization, and resilience. Thus, we contribute by connecting organizational microelements with ecosystem macro dimensions and provide an evolutionary model envisioning how incumbents attempt to promote strategic transitions in their firms and ecosystems.
Original languageEnglish
Peer-reviewed scientific journalJournal of Business Research
Volume127
Pages (from-to)85-95
Number of pages11
ISSN0148-2963
DOIs
Publication statusPublished - 24.01.2021
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Business model innovation
  • Artificial Intelligence
  • Digitalization
  • Ecosystem Innovation
  • Value creation
  • Strategy

Areas of Strength and Areas of High Potential (AoS and AoHP)

  • AoHP: Strategic and entrepreneurial praxis

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