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ICT – a surviving tool for economy in the phase of social distancing: a systematic literature review.

Authors :
Gupta, Swati
Gupta, Shubham
Kataria, Shifali
Gupta, Sanjay
Source :
Kybernetes. 2023, Vol. 52 Issue 9, p3136-3160. 25p.
Publication Year :
2023

Abstract

Purpose: The purpose of this study is to recognise the role of information and communication technology (ICT) tools in different sectors like Education, Health Care, Business, FMCG and Entertainment in the phase of social distancing. This study also attempts to provide a quantitative review of the scholarly literature on this topic. Design/methodology/approach: A comprehensive literature evaluation was undertaken using a database encompassing 150 English-language papers with publication dates ranging from 2019 to 2021. The research profile and thematic analysis are presented through a comprehensive content analysis, resulting in four themes. The study reviews various research articles and reports related to social distancing and opens a discussion on the growing importance of ICT tools during this COVID-19 era. Findings: ICT acts as a surviving tool for the economy by creating a virtual environment and helping people to stay socially connected during this pandemic. There is a lack of empirical evidence to support the facts so further research is required. Research limitations/implications: There are two drawbacks to the current study. Firstly, this study established a rigorous review methodology in which the researchers opted to exclude any grey literature, non-peer-reviewed articles, books, notes and book chapters from consideration. These sources could have had pertinent literature. Secondly, even after protocol's rigour and numerous rounds of checks by a team of academicians and researchers, an anomaly may have sneaked into the evaluation. Originality/value: The current study contributes to the growing literature on ICT tools particularly in this phase of social distancing. This paper highlights the need for future research in this area supported by different statistics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0368492X
Volume :
52
Issue :
9
Database :
Academic Search Index
Journal :
Kybernetes
Publication Type :
Periodical
Accession number :
172329362
Full Text :
https://doi.org/10.1108/K-05-2021-0374