The increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced.Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments.

Obiettivi del paper: Il paper propone un modello concettuale di supporto al processo decisionale dell'Organo di Governo territoriale, che fornisce un quadro rappresentativo della varietà di aspettative, prospettive e interessi presenti nel contesto di riferimento, consentendo una maggiore consapevolezza degli interventi volti a risolvere le problematiche urbane.Metodologia: Il modello proposto, basato sulla tecnica di Aspect Based Sentiment Analysis (ABSA), attraverso la lente del corpus teorico dell'Approccio Sistemico Vitale (ASV), è capace di mettere in luce i sentimenti degli attori presenti in un sistema vitale dinamico e complesso quale è il territorio.Risultati: Il lavoro perviene all' esposizione di valutazioni condivise sui livelli di "sentiment" percepiti dalla comunità rispetto ad un punto di interesse urbano considerato, guidando l'Organo di Governo territoriale nel porre in essere le condizioni per l' emergere di consonanza di contesto.Limiti della ricerca: Le logiche delineate in una prima sperimentazione, condotta esclusivamente su un punto urbano, dovranno essere estese ad un' area d'interesse e ad un modello più sofisticato, per compiere analisi territoriali più accurate.Implicazioni pratiche: Il modello si presenta come un valido supporto al processo di decision making territoriale, proponendo valutazioni condivise riguardo le potenzialità e le criticità latenti legate ai contesti urbani da cui trarre future linee d' azione.Originalità del paper: L' originalità del paper risiede nel combinare, in un unico modello, l'ASV, lente interpretativa della realtà, con l'ABSA, adattando quest'ultima al contesto territoriale.Parole chiave: processo decisionale; approccio sistemico vitale; Aspect Based Sentiment Analysis; governo del territorio; modello di supporto alle decisioni; consonanza Viable Systems Approach and Aspect Based Sentiment Analysis for governing the territoryPurpose of the paper: This paper proposes a conceptual model of support to the decision-making process of the territory governing body, which provides a picture representative of the variety of expectations, perspectives and interests present in the reference context, allowing for greater awareness of the interventions that could be aimed at solving urban problems.Methodology: The proposed model, based on Aspect Based Sentiment Analysis (ABSA), aims to highlight, through the theoretical lens of the Viable Systems Approach (VSA), the sentiments of all the actors involved in a dynamic and complex viable system such as the territory.

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The aim of this paper is to trace the scientific landscape (authors, scientific papers, topics most frequently dealt with, relationships between them) of the studies concerning the viable system model (VSM) and the viable system approach (vSa), carried out in the period 1990–2018 within the scientific framework of systems thinking by scholars in business, management and accounting (BMA). The methodology adopted herein is based on a scientometric approach, bibliographic mapping and clustering. The analysis was carried out following a three‐step procedure: bibliographic coupling of scientific contributions (153 articles recorded in Scopus in the considered period), co‐occurrence of the main author keywords and analysis of co‐citations. This paper examines for the first time the entire scientific body of knowledge about viable system theories (VSTs) in BMA areas using recent joint mapping and clustering tools.

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