Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/318931 
Year of Publication: 
2020
Citation: 
[Journal:] Journal of Business Models (JOBM) [ISSN:] 2246-2465 [Volume:] 8 [Issue:] 2 [Year:] 2020 [Pages:] 22-30
Publisher: 
Aalborg University Open Publishing, Aalborg
Abstract: 
Purpose: The article analyzes the effects of Artificial Intelligence (AI) on Business Model Innovation (BMI), focusing on the platform business model. Design/Methodology/Approach: Proposes a CLD (Causal Loop Diagram) model and analyzes the model to discuss insights about the structure and performance of the business model.Findings: Shows that AI enables key strategic feedback loops that constitute the core structure of the business model.Practical Implications: Managers and entrepreneurs who seek to leverage AI should invest in the AI feedback loops. An AI strategy for BMI should seek to create, strengthen, and speed-up AI feedback loops in the business model.Originality/Value: Analyzes the effects of AI on BMI while accounting for dynamic complexity as a business model property to be understood and leveraged. Contributes to our understanding of the business value and impact of AI.
Subjects: 
AI strategy
Business Model
Platforms
Digital Transformation
Dynamic Complexity
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.