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The main purpose of this contribution is twofold: from a scientific point of view, to interpret the symbiotic logic through the framework of the Viable Systems approach (vSa), and from a managerial viewpoint, to provide the actors of industrial symbiosis initiatives, at any stage of their life cycle, with a guide to the most promising web-based solutions in terms of defining the best configuration for the symbiotic network. The article, therefore, aims to provide an in-depth study of the existing literature, which is still not exhaustive, and to consider synoptically and comparatively the modern platforms capable of supporting industrial symbiosis initiatives. The objective was pursued by examining 10 existing and functioning Web-based platforms, of which only a few were previously explored in the previous literature, while the recognition of the latter was carried out on a bibliometric basis to articulate in more detail the existing gap based on a panel of contributions as large as possible. The joint consideration of the literature review and the examination of the existing and functioning platforms shows an articulated framework of approaches, proposed models, and classification schemes of their functions, which allows us to conclude that given the sectoral, territorial, and specific characteristics of the materials addressed by each platform and considering the different cycles existing in eco-industrial parks (water, energy, by-products, etc.), the most promising way for their implementation is to consider multiple platforms to fully exploit the contribution of each of them. As for the management implications, the suggestion is to integrate the results obtained from the different platforms and to evaluate the configurational alternatives with multi-criteria procedures.
Sergio Barile; Clara Bassano; Raffaele D’Amore; Paolo Piciocchi; Marialuisa Saviano; Pietro Vito. Insights of Digital Transformation Processes in Industrial Symbiosis from the Viable Systems Approach (vSa). Sustainability 2021, 13, 9696 .
AMA StyleSergio Barile, Clara Bassano, Raffaele D’Amore, Paolo Piciocchi, Marialuisa Saviano, Pietro Vito. Insights of Digital Transformation Processes in Industrial Symbiosis from the Viable Systems Approach (vSa). Sustainability. 2021; 13 (17):9696.
Chicago/Turabian StyleSergio Barile; Clara Bassano; Raffaele D’Amore; Paolo Piciocchi; Marialuisa Saviano; Pietro Vito. 2021. "Insights of Digital Transformation Processes in Industrial Symbiosis from the Viable Systems Approach (vSa)." Sustainability 13, no. 17: 9696.
Recent literature from the stream of the Viable Systems Approach (vSa) highlighs the need to shift from the concept of Artificial Intelligence (AI) to that of Intelligence Augmentation (IA) in complex decision making. IA is defined as an intelligence given by the integration and interaction between wise people and AI entities. More specifically, in the interpretative framework of the vSa Information Variety Model (IVM), IA qualifies the ability to approach a problem by changing the system’s Information Variety. To understand how this process occurs and its latent effects, it is useful to refer to the new interpretation of the vSa concept of relevance. Using this concept and the IVM, the paper illustrates how IA addresses the complexity of decision-making at the same time highlighting how interaction with AI determines a transformation of the structure and process of human thinking capability and how technology is becoming ever more critical for humans.
Sergio Barile; Clara Bassano; Mattia Lettieri; Paolo Piciocchi; Marialuisa Saviano. Intelligence Augmentation (IA) in Complex Decision Making: A New View of the vSa Concept of Relevance. Advances in Intelligent Systems and Computing 2020, 251 -258.
AMA StyleSergio Barile, Clara Bassano, Mattia Lettieri, Paolo Piciocchi, Marialuisa Saviano. Intelligence Augmentation (IA) in Complex Decision Making: A New View of the vSa Concept of Relevance. Advances in Intelligent Systems and Computing. 2020; ():251-258.
Chicago/Turabian StyleSergio Barile; Clara Bassano; Mattia Lettieri; Paolo Piciocchi; Marialuisa Saviano. 2020. "Intelligence Augmentation (IA) in Complex Decision Making: A New View of the vSa Concept of Relevance." Advances in Intelligent Systems and Computing , no. : 251-258.