ABSTRACT
The adoption of an integrated set of smart technologies for data analysis can contribute to facilitating real-time communication, engaging actors in decision-making but and enabling the constant redefinition of the connections between users and technology to improve systems’ well-being and gain, over time, innovation and resilience. [...]the investigation of how new technologies for data analysis can increase citizen’s collaboration and distributed decision making can help private and public managers understand how to challenge social and economic crisis such as COVID-19 pandemic and to pursue continuous growth by developing a resilient attitude that can develop a constant search for improvement and the incessant redefinition of technological ecosystem to address the changing contextual needs. In today’s uncertain context, in which the global crisis remodel economic and social systems and the relationships between them, scientific research should investigate the different kinds of technologies, processes, people (human component, entrepreneurial attitude) and resources (employees’ and citizens’ digital competencies and willingness to use technology) that can act as key enablers for the identification of innovation opportunities, and, thus, the development of a resilient attitude in organizations considered as embedded systems. 2. The investigation of the main resilient features (restructuring, adaptation, transformation) of smart communities can contribute to detect the transition from the emergence of innovation to the development of social changes. [...]the goal of the current Special Issue is to advance new theoretical and empirical contributions that analysze how contemporary resilient data-driven organizations and communities can integrate technologies with human component (Bang et al., 2021) to reframe innovation emergence and foster the attainment of societal transformation. The papers included in this Special Issue can be grouped into two areas: papers dealing with topics related to policy-making, governance and public management of Big data and open data, including citizens engagement and accountability;and papers that adopt a managerial standpoint to understand how Big data can redefine value co-creation, knowledge co-creation and innovation development to attain resilience. 3.1 Big data impact on policy-making, governance and citizenship The first group of contributions investigates the use of technologies and data-driven orientation in public sector and, in particular, in policy-making dynamics (Maione et al., 2022), in community’s perception (Loia et al., 2022) and citizens’ behaviour (Marino and D’Arco, 2022).
ABSTRACT
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.