HOW CAN PROFESSIONAL LICENSE OR BACHELOR DEGREE "TOURISTIC GUIDES" IN FRANCE EVOLVE FOR A BETTER EMPLOYABILITY IN A CONTEXT OF DIGITAL TRANSFORMATION AND HEALTH CRISIS?

Research background: After more than a year of the Covid-19 pandemic, we can investigate whether it caused a shock to the global economy, pushing for deglobalization, or on the contrary, it was a challenge for digital globalization and digital transformation of economies. Through this research we join the research contributions that examine the process towards digital globalization that characterizes the world economy, its impact on businesses, consumers, and governments. We also discuss the challenges posed by the crisis caused by the coronavirus pandemic to globalization and perhaps the acceleration of the digital transformation of economies. Purpose of the article: The aim of this research is to highlight the impact of the COVID-19 pandemic in the age of digital globalization. Methods: Documentary analysis, as the main research method, is doubled by a case study that allows us to highlight the specific characteristics of digital globalization. Findings & Value added: The findings of the research allowed us to highlight the essential aspects of digital globalization that were perhaps exacerbated by the Covid-19 pandemic, but which contribute greatly to understanding the phenomenon of globalization. Our research also reveals four lessons learned in the COVID-19 pandemic. We also present some considerations regarding the globalization after the health crisis.

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Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence

Industrial Management & Data Systems ◽

10.1108/imds-04-2021-0248 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Marina Johnson ◽

Abdullah Albizri ◽

Antoine Harfouche ◽

Salih Tutun

Keyword(s):

Artificial Intelligence ◽

Open Access ◽

Emergency Management ◽

Survival Rates ◽

Digital Transformation ◽

Digital Data ◽

Opioid Overdose ◽

Health Crisis ◽

Content Type ◽

Essential Components

PurposeThe global health crisis represents an unprecedented opportunity for the development of artificial intelligence (AI) solutions. This paper aims to integrate explainable AI into the decision-making process in emergency scenarios to help mitigate the high levels of complexity and uncertainty associated with these situations. An AI solution is designed to extract insights into opioid overdose (OD) that can help government agencies to improve their medical emergency response and reduce opioid-related deaths.Design/methodology/approachThis paper employs the design science research paradigm as an overarching framework. Open-access digital data and AI, two essential components within the digital transformation domain, are used to accurately predict OD survival rates.FindingsThe proposed AI solution has two primary implications for the advancement of informed emergency management. Results show that it can help not only local agencies plan their resources for timely response to OD incidents, thus improving survival rates, but also governments to identify geographical areas with lower survival rates and their primary contributing factor; hence, they can plan and allocate long-term resources to increase survival rates and help in developing effective emergency-related policies.Originality/valueThis paper illustrates that digital transformation, particularly open-access digital data and AI, can improve the emergency management framework (EMF). It also demonstrates that the AI models developed in this study can identify opioid OD trends and determine the significant factors improving survival rates.

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