Mobile applications aiming to facilitate immigrants’ societal integration and overall level of integration, health and mental health. Does artificial intelligence enhance outcomes?

Abstract

Using panel data on immigrant populations from European, Asian and African countries the study estimates positive associations between the number of mobile applications in use aiming to facilitate immigrants' societal integration (m-Integration) and increased level of integration (Ethnosizer), good overall health (EQ-VAS) and mental health . It is estimated that the patterns are gender sensitive. In addition, it is found that m-Integration applications in relation to translation and voice assistants, public services, and medical services provide the highest returns on immigrants' level of integration, health/mental health status. For instance, translation and voice assistant applications are associated with a 4% increase in integration and a 0.8% increase in good overall health. Moreover, m-Integration applications aided by artificial intelligence (AI) are associated with increased health/mental health and integration levels among immigrants. We indicate that AI by providing customized search results, peer reviewed e-learning, professional coaching on pronunciation, real-time translations, and virtual communication for finding possible explanations for health conditions might bring better quality services facilitating immigrants' needs. This is the first known study to introduce the term 'm-Integration', quantify associations between applications, health/mental health and integration for immigrants, and assess AI's role in enhancing the aforementioned outcomes.

Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic

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“…AI affects a diverse range of industries from health care to retail (Campbell et al, 2020;Jablonska & Polkowski, 2017) and allows systems to support human capabilities and intelligence by comprehending, acting, and learning (Drydakis, 2021;Enholm et al, 2021;Lichtenthaler, 2019;OECD, 2017;Shabbir & Anwer, 2015). Moreover, AI advances big data collection and processing, analysis, drives conclusions and provides recommendations (Drydakis, 2021;Jablonska & Polkowski, 2017;Bengio et al, 2013). AI is utilised by SMEs to support their business operations in areas such as sales and marketing, conversational commerce, customer service support, data analytics, sustainable development, credit evaluations, risk assessments, cybersecurity and legal services (Basri, 2021;Camacho-Miñano et al, 2015;Hamal & Senvar, 2021;Ikumoro & Jawad, 2019;Kim et al, 2019;Pérez et al, 2019;Rebón et al, 2015;Sood, 2020;Watney & Auer, 2021), helping to improve the quality optimisation, operational efficiencies and overall development of SMEs (Hansen & Bøgh, 2021;Kumar & Kalse, 2021).…”

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