Mapping the Potential Supply Chain Impressions of the COVID-19 (SARS-CoV-2) Pandemic on Artificial Intelligence and Big Data Analytics: A Sustainability Framework and Programmatic Research Review With Deep Learning Approaches
Keywords:strategic innovation, artificial intelligence, big data analytics, Covid-19, SARS-CoV-2 virus, supply chains, deep learning, internet of things, machine learning, entrepreneurship, learning, reinforcements, business success, innovation, sustainability
This body of knowledge focuses on the impacts that Covid-19 has had on Artificial Intelligence and Big Data Analytics of global organizations and their supply chains or logistics mechanisms through deep learning approaches (Queiroz et al., 2020). The authors of the current study detail it out to define Artificial Intelligence and Big Data Analytics to help further understand and quantify the impact that the Covid-19 pandemic has had on broken supply chains and small businesses (Naude, 2020; Vaishya et al., 2020). Going into further discussion on how the after-effects changed technologies and data analytics for companies, we also point out that organizations require the support of innovation technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning (Moosavi, Fathollahi-Fard, & Dulebenets, 2022) to fight and anticipate against new infections (Queiroz, et al., 2020). The study concludes that COVID-19 has not only devastated the critical thinking, innovation, and sustainability capabilities of scientific organizations but has also deteriorated the in-root causes of future successes of brilliant and extraordinary minds (Jamshidi et al., 2020).