A Knowledge-Based Perspective of Strategic AI Innovation Management

Erich Prem

Chapter 3 in Artificial Intelligence and Innovation Management, 2022, pp 37-61 from World Scientific Publishing Co. Pte. Ltd.

Abstract: At more than 50 years of age, Artificial Intelligence cannot be called a new technology. However, recent advances in AI have made the field widely available and applicable to the extent that it has become a major driver for technology-based innovations. This chapter investigates the characteristics underlying AI technology that are most relevant for innovation management. It addresses challenges and potential showstoppers, such as data requirements, explainability, and ethical questions. These questions require a strategic approach to managing AI innovation, i.e., a long-term perspective and a careful consideration of the epistemic flow of information from the problem domain to the application. We propose an epistemic framework for the AI innovation process that helps in understanding and improving key dynamic capabilities for strategic AI innovation management.

Keywords: Artificial Intelligence; Innovation Management; Knowledge-Based Perspective; Decision Making; Entrepreneurial Opportunity; Ai-Driven Innovation; Automation; Research Process Disruption; Value Proposition; Business Scaling; Fair; Inclusive and Anticipatory Leadership; Social Impact of AI; Living Labs; Public Procurement of AI (search for similar items in EconPapers)
JEL-codes: O3 O31 O36 (search for similar items in EconPapers)
Date: 2022
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