Labor markets (LMs) are witnessing an acceleration that is fueled by digital disruption. The main drivers of this change are the transition to the digital paradigm (that is, Industry 4.0 and Smart Industry 5.0) and the socioeconomic effects of the ongoing health emergency. In addition, the recent Russia/Ukraine conflict has resulted in the migration of an increasing number of refugees across EU countries who may also need to change their career focus in order to find job opportunities in their host countries. These new changes in the LMs primarily affect lower-skilled workers and those who lack or have low levels of digital literacy. In such a situation, there is a need for a solution that can be adopted on a mass scale to reallocate human resources in order to help the most vulnerable workers who may face difficulties in maintaining or finding new job opportunities. The present paper aims to contribute to research on possible solutions to help individuals become career adaptable. To this end, we present the case of Create Your Own Future (CYOF), an employability support toolkit by Saffron Interactive, to demonstrate how an AI-implemented toolkit can support individuals in configuring a road map for their career pathway. CYOF is designed to support individuals on their personal journey towards sustainable employment and provides individuals with a way of determining their vocational personality and find a tailored roadmap to progress in their career or a pathway to a new one. The CYOF toolkit could represent a large-scale solution to help workers become career adaptable and help them face an increasingly changing and unpredictable employment landscape.

AI-implemented toolkit to assist users with career "configuration": the case of create your own future / Grosso, Chiara; Sazen, Noorie; Boselli, Roberto. - (2022), pp. 158-165. (Intervento presentato al convegno Software Product Lines Conference tenutosi a Graz; Austria) [10.1145/3503229.3547043].

AI-implemented toolkit to assist users with career "configuration": the case of create your own future

Chiara Grosso
;
2022

Abstract

Labor markets (LMs) are witnessing an acceleration that is fueled by digital disruption. The main drivers of this change are the transition to the digital paradigm (that is, Industry 4.0 and Smart Industry 5.0) and the socioeconomic effects of the ongoing health emergency. In addition, the recent Russia/Ukraine conflict has resulted in the migration of an increasing number of refugees across EU countries who may also need to change their career focus in order to find job opportunities in their host countries. These new changes in the LMs primarily affect lower-skilled workers and those who lack or have low levels of digital literacy. In such a situation, there is a need for a solution that can be adopted on a mass scale to reallocate human resources in order to help the most vulnerable workers who may face difficulties in maintaining or finding new job opportunities. The present paper aims to contribute to research on possible solutions to help individuals become career adaptable. To this end, we present the case of Create Your Own Future (CYOF), an employability support toolkit by Saffron Interactive, to demonstrate how an AI-implemented toolkit can support individuals in configuring a road map for their career pathway. CYOF is designed to support individuals on their personal journey towards sustainable employment and provides individuals with a way of determining their vocational personality and find a tailored roadmap to progress in their career or a pathway to a new one. The CYOF toolkit could represent a large-scale solution to help workers become career adaptable and help them face an increasingly changing and unpredictable employment landscape.
2022
Software Product Lines Conference
digital disruption; employability support platform; job career configuration; skills assessment
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
AI-implemented toolkit to assist users with career "configuration": the case of create your own future / Grosso, Chiara; Sazen, Noorie; Boselli, Roberto. - (2022), pp. 158-165. (Intervento presentato al convegno Software Product Lines Conference tenutosi a Graz; Austria) [10.1145/3503229.3547043].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1708535
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