The automation of physical labor resulted in the Industrial Revolution over one hundred fifty years ago. Today, the automation of work typically performed by the human mind is promising another quantum leap forward (Huang and Rust, 2018; Wirtz et al. 2018; Davenport et al., 2020; Mariani et al. 2021; Mustak et al. 2021), propelled by digital technologies in general and by artifcial intelligence (AI) in particular. The advent of AI has necessitated rethinking our understanding of the contexts and practices of value co-creation, increasingly characterized by a progressively wider set of multi-level interactions among more and more stakeholders (e.g., Kohtamaki and Rajala, 2016; Ramaswamy and Ozcan, 2018; Vargo and Lusch 2017). On one hand, the scope and scale of interaction have become enlarged and the boundaries between contexts more blurred; on the other hand, the pace of interaction has increased dramatically (Corsaro and Anzivino, 2021). This points to the need for academics and practitioners alike to rethink the relationships among frms, customers, and other actors in value co-creating service ecosystems (Vargo et al., 2020; Bharadwaj and Shipley, 2020; Singh et al., 2019). Generally, AI is more than just a change in the technological environment, with implications for human–machine interactions; it also has far-reaching implications for business and social relations, and for new emerging business models—thus the title of this special issue: “Artifcial Intelligence and the shaping of the business context.
Artificial intelligence and the shaping of the business context, 2022-03.
Artificial intelligence and the shaping of the business context
Corsaro, Daniela;Massara, Francesco
2022-03-01
Abstract
The automation of physical labor resulted in the Industrial Revolution over one hundred fifty years ago. Today, the automation of work typically performed by the human mind is promising another quantum leap forward (Huang and Rust, 2018; Wirtz et al. 2018; Davenport et al., 2020; Mariani et al. 2021; Mustak et al. 2021), propelled by digital technologies in general and by artifcial intelligence (AI) in particular. The advent of AI has necessitated rethinking our understanding of the contexts and practices of value co-creation, increasingly characterized by a progressively wider set of multi-level interactions among more and more stakeholders (e.g., Kohtamaki and Rajala, 2016; Ramaswamy and Ozcan, 2018; Vargo and Lusch 2017). On one hand, the scope and scale of interaction have become enlarged and the boundaries between contexts more blurred; on the other hand, the pace of interaction has increased dramatically (Corsaro and Anzivino, 2021). This points to the need for academics and practitioners alike to rethink the relationships among frms, customers, and other actors in value co-creating service ecosystems (Vargo et al., 2020; Bharadwaj and Shipley, 2020; Singh et al., 2019). Generally, AI is more than just a change in the technological environment, with implications for human–machine interactions; it also has far-reaching implications for business and social relations, and for new emerging business models—thus the title of this special issue: “Artifcial Intelligence and the shaping of the business context.File | Dimensione | Formato | |
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