Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

Author:

Agarwal Pragati,Swami Sanjeev,Malhotra Sunita Kumari

Abstract

Purpose The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations. Design/methodology/approach The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic. Findings The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper. Research limitations/implications Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis. Practical implications First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data. Originality/value As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

Publisher

Emerald

Subject

General Medicine

Reference124 articles.

1. Barriers and facilitators that influence telemedicine-based, real-time, online consultation at patients’ homes: systematic literature review;Journal of Medical Internet Research,2020

2. Artificial solutions (2021), “Chatbots | conversational AI platform for Enterprise – Teneo | artificial solutions”, Artificial Solutions, available at: www.artificial-solutions.com/digital-transformation (accessed 27 May 2021).

3. Developing a framework of artificial intelligence for fashion forecasting and validating with a case study;International Journal of Enterprise Network Management,2021

4. Behsudi, A. (2020), “Impact of the pandemic on tourism – IMF F&D”, International Monetary Fund, Finance and Development, available at: www.imf.org/external/pubs/ft/fandd/2020/12/impact-of-the-pandemic-on-tourism-behsudi.htm (accessed 27 May 2021).

5. Bensley, E., Chheda, S., Schiff, R., Stephens, D. and Zhou, N. (2020), “Banking customer experience: response to coronavirus | McKinsey”, McKinsey and Company, available at: www.mckinsey.com/industries/financial-services/our-insights/remaking-banking-customer-experience-in-response-to-coronavirus (accessed 26 May 2021).

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