Technology Adoption and Usage by the Public During the COVID-19 Pandemic
Ram Mishra and
Monica Sainy
Jindal Journal of Business Research, 2022, vol. 11, issue 2, 205-217
Abstract:
This research article determines the most adopted and used technology by common public and end consumers during the COVID-19 pandemic and tries to determine the technologies that will continue to see increased adoption rate beyond the COVID-19 pandemic. It examines examples of how digital technologies and services have been employed in daily lives of individuals and enterprises/businesses during the COVID-19 crisis. We have used responses to the survey built using Google Forms as the method for data collection. The study undertaken was exploratory in nature to identify the most adopted and used technology among common public during the COVID-19 pandemic. We used descriptive statistics, R-test, R-squared test, and ANOVA for the study. The results show that video-based collaboration technology-related services had the highest adoption and usage among respondents, followed by process automation, mobile/web-based services and microservices, and artificial intelligence (AI) and analytics. As an implication of the study, businesses can focus upon technologies such as video-based collaboration technology, process automation, mobile/web-based services and microservices, and AI and analytics—in that order—to roll out new services and models while dealing with their end customers and prospects, during and beyond the COVID-19 pandemic.
Keywords: Technology adoption; videoconferencing; collaboration; process automation; mobile/web-based services and microservices; artificial intelligence (AI) and analytics (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/22786821221127593 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:jjlobr:v:11:y:2022:i:2:p:205-217
DOI: 10.1177/22786821221127593
Access Statistics for this article
More articles in Jindal Journal of Business Research
Bibliographic data for series maintained by SAGE Publications ().