IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-3-032-03981-1_2.html

Innovation and AIs: New Forms of Evolutions

In: Strategic Pivot of Artificial Intelligence

Author

Listed:
  • Lea Iaia

    (University of Turin)

Abstract

The huge volume of heterogeneous data generated in the last decade has forced an acceleration of technological progress, due to the need to increase computational processing capacity and develop new artificial intelligence techniques to respond to the information needs of organizations. Advancements in processing and computational power have enabled artificial intelligence (AI) to reach performance levels that were previously unimaginable, elevating AI to a key strategic technology for organizations. In dynamic and unpredictable environments, characterized by competitive global markets, rapidly advancing technologies, and shifting political landscapes, AI has demonstrated its capacity to support the decision-making processes of increasingly complex organizations. Leading technology companies such as Google, Amazon, Netflix, Airbnb, Facebook, and Apple have integrated AI into their strategies, leveraging vast amounts of data to gain valuable insights. This has enabled them to enhance productivity, innovate their offerings, and expand into new markets with highly personalized products and services for their customers. This initial evidence highlights AI’s significant potential to drive organizational innovation. However, what are the future prospects—both opportunities and challenges—of its impact on innovation processes? Additionally, which types of organizations are best equipped to support and advance AI-driven innovation?

Suggested Citation

  • Lea Iaia, 2026. "Innovation and AIs: New Forms of Evolutions," Springer Texts in Business and Economics, in: Marco Pironti & Veronica Scuotto & Lea Iaia (ed.), Strategic Pivot of Artificial Intelligence, chapter 2, pages 15-37, Springer.
    • Handle: RePEc:spr:sptchp:978-3-032-03981-1_2
    DOI: 10.1007/978-3-032-03981-1_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sptchp:978-3-032-03981-1_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.