No abstract

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.

The spread of Covid-19 profoundly changed citizens' daily lives due to the introduction of new modes of work and access to services based on smart technologies. Although the relevance of new technologies as strategic levers for crisis resolution has been widely debated before the pandemic, especially in the smart cities' context, how individuals have agreed to include the technological changes dictated by the pandemic in their daily interactions remains an open question. This paper aims at detecting citizens' sentiment toward technology before and after the emergence of the Covid-19 pandemic using Fuzzy Formal Concept Analysis (FFCA) to analyze a large corpus of tweets. Specifically, citizens' attitudes in five cities (Berlin, Dublin, London, Milan, and Madrid) were explored to extract and classify the key topics related to the degree of confidence, familiarity and approval of new technologies. The results shed light on the complex technology acceptance process and help managers identify the potential negative effects of smart technologies. In this way, the study enhances scholars' and practitioners' understanding of the strategies for enabling the use of technology within smart cities to manage the transformations introduced by the health emergency and guide citizens’ behaviour.

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.

Purpose The purpose of this paper is to provide a better understanding of the reasons why people use or do not use carpooling. A further aim is to collect and analyze empirical evidence concerning the advantages and disadvantages of carpooling. Design/methodology/approach A large-scale text analytics study has been conducted: the collection of the peoples’ opinions have been realized on Twitter by means of a dedicated web crawler, named “Twitter4J.” After their mining, the collected data have been treated through a sentiment analysis realized by means of “SentiWordNet.” Findings The big data analysis identified the 12 most frequently used concepts about carpooling by Twitter’s users: seven advantages (economic efficiency, environmental efficiency, comfort, traffic, socialization, reliability, curiosity) and five disadvantages (lack of effectiveness, lack of flexibility, lack of privacy, danger, lack of trust). Research limitations/implications Although the sample is particularly large (10 percent of the data flow published on Twitter from all over the world in about one year), the automated collection of people’s comments has prevented a more in-depth analysis of users’ thoughts and opinions. Practical implications The research findings may direct entrepreneurs, managers and policy makers to understand the variables to be leveraged and the actions to be taken to take advantage of the potential benefits that carpooling offers. Originality/value The work has utilized skills from three different areas, i.e., business management, computing science and statistics, which have been synergistically integrated for customizing, implementing and using two IT tools capable of automatically identifying, selecting, collecting, categorizing and analyzing people’s tweets about carpooling.