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Artificial Intelligence and Decision-Making: Human–Machine Interactions for Successful Value Co-creation

In: The Palgrave Handbook of Service Management

Author

Listed:
  • Francesco Polese

    (University of Salerno)

  • Sergio Barile

    (Sapienza University of Rome)

  • Debora Sarno

    (University of Naples Parthenope)

Abstract

The chapter answers the question of what elements should be taken into account for successful value co-creation due to human–machine interactions in decision-making. In particular, by integrating service-dominant logic with the viable systems approach, the chapter proposes a framework of four elements: (i) knowledge process in decision-making—the knowledge curve; (ii) characteristics of the decision-maker(s)—the knowledge endowment; (iii) context—the service ecosystem; and (iv) outcomes of the interaction—value co-creation (and intelligence augmentation).

Suggested Citation

  • Francesco Polese & Sergio Barile & Debora Sarno, 2022. "Artificial Intelligence and Decision-Making: Human–Machine Interactions for Successful Value Co-creation," Springer Books, in: Bo Edvardsson & Bård Tronvoll (ed.), The Palgrave Handbook of Service Management, pages 927-944, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-91828-6_44
    DOI: 10.1007/978-3-030-91828-6_44
    as

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