(Co-)learning and (Co-)evaluation in Scholarly Ecosystem: Challenges and Opportunities in the Covid-19 Era

The study aims at exploring the influence of global coronavirus pandemic on teaching, learning and evaluation processes involved in Higher Education (HE) by analysing the way in which knowledge exchange is reframed through ICTs and technology. Through the interpretative lens of Service Dominant logic, the chapter rereads HE as an ecosystem and investigates theoretically: (1) the transformations introduced in information management, technology adoption, resource integration, value co-creation and co-learning processes to challenge the sanitary emergency;(2) the way in which the adoption of this transformation can redefine the rules, practices and institutions in Higher education system. The results identify the different tech-nological touchpoints that can be implemented in teaching, learning and evaluation to boost co-learning and the different mechanisms that can foster the emergence of social change and innovation. © Springer Nature Switzerland AG 2022.

Reifying Kintsugi Art in Post-covid Era: A Remote Smart Working Model, Augmented Intelligence-Based, for Antifragile Companies

The aim of this conceptual paper is to understand if augmented intelligence may be considered a driver of antifragility that can be allegorically represented by the Japanese art of Kintsugi, which consists of the use of gold or silver to repair broken objects in ceramic to get a better aesthetic form. Covid-19, like a black swan, represented, for many companies, understood as systems, a complex situation capable of upsetting their equilibrium. It had thus forced them to accelerate the digitization process. Digitalization, based on artificial intelligence (AI) tools, brings in many fields new perspectives, such as new business scenarios and models. By using the Viable System Approach (vSa) lens, we investigated the impact of smart working, widely spread to manage a complex situation (Covid-19), in allowing companies to cope with changes and to be antifragile. A remote smart working model is proposed, as an evolution of smart working, based on a new culture of "doing business” to search for new viable conditions. It can allow companies a more efficient resources management, an endless orientation towards results, but also new synergies in new contexts thanks to new and increased networks, for new collaborations and new forms of interactions, as well as more profitable relationships with employees, based on a strong relationship of trust and on better opportunities for work-life balance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Data-Driven Decisions for a Smarter and Resilient Healthcare Service Ecosystem

Covid-19 has emphasized many gaps in complexity management studies in applied grounds. Data have been approached a lot in last decades. This work aims to analyze how innovative solutions can be designed and proposed in healthcare to manage critical contingences and may stimulate healthcare system, intended as a service ecosystem, to evolve, adapt, reconfigure, balance itself in terms of making decisions, and then to be resilient at first and viable consequently. The analysis starts from the description of the theoretical background and the definition of an interpretative framework and then proposes a series of illustrative cases on solutions that can stimulate data-driven management processes. This study confirms that data can support decision makers in addressing the surrounding complexity by making the healthcare service ecosystem more smart and resilient and promoting its renewal. However, data-driven decisions may be considered as driver for the service ecosystem well-being only when they imply an immediate improvement of patient’s health. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.