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The Potential of AI to Enhance the Value Propositions of New Companies Committed to Scale Early and Rapidly

In: Artificial Intelligence and Innovation Management

Author

Listed:
  • Stoyan Tanev
  • Tony Bailetti
  • Christian Keen
  • David Hudson

Abstract

A newly developed value proposition is the best expression of a company’s innovative capacity — its ability to coordinate the combination of resources to develop new products and services, and shape valuable market offers to address specific customer needs. How a new company can use artificial intelligence to innovate by enhancing its value propositions for customers, investors and other stakeholders is not well known. To address this question, we systematically reviewed the value proposition development, business ecosystems, and the artificial intelligence business value literature streams and used the results to develop 182 assertions — statements about what a new company should do to scale its value early and rapidly. We then applied topic modeling to examine the assertions and produce a framework for value proposition development in the context of a new company that wishes to scale its value early and rapidly. Finally, we made explicit the link between a new company’s resources and capabilities in artificial intelligence and the seven elements of the framework. The results suggest that resources and capabilities in artificial intelligence can be used to enhance stakeholders’ value propositions, improve foreign market entry performance, increase customer base, and continuously improve individuals, operations, and infrastructures of new companies. The chapter provides a guide of the business value that AI can offer a new company committed to scale early and rapidly.

Suggested Citation

  • Stoyan Tanev & Tony Bailetti & Christian Keen & David Hudson, 2022. "The Potential of AI to Enhance the Value Propositions of New Companies Committed to Scale Early and Rapidly," World Scientific Book Chapters, in: Stoyan Tanev & Helena Blackbright (ed.), Artificial Intelligence and Innovation Management, chapter 10, pages 185-213, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9781800611337_0010
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    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;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O36 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Open Innovation
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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