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Reifying Kintsugi Art in Post-covid Era: A Remote Smart Working Model, Augmented Intelligence-Based, for Antifragile Companies
Research and Innovation Forum, Rii Forum 2023 ; : 675-681, 2023.
Article in English | Scopus | ID: covidwho-2283622
ABSTRACT
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.
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Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Long Covid Language: English Journal: Research and Innovation Forum, Rii Forum 2023 Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Long Covid Language: English Journal: Research and Innovation Forum, Rii Forum 2023 Year: 2023 Document Type: Article