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Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO
The corona virus (COVID-19) pandemic has impacted industries across the globe. Lockdown was imposed to curb the spread of the deadly virus. This resulted in closure of the factories and manufacturing units. Few sectors switched to work from home (WFH) for the first time. The present study aims to un...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088774/ https://www.ncbi.nlm.nih.gov/pubmed/37256026 http://dx.doi.org/10.1007/s41870-023-01242-6 |
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author | Chawla, Swati Sareen, Puja Gupta, Sangeeta Joshi, Meha Bajaj, Ritu |
author_facet | Chawla, Swati Sareen, Puja Gupta, Sangeeta Joshi, Meha Bajaj, Ritu |
author_sort | Chawla, Swati |
collection | PubMed |
description | The corona virus (COVID-19) pandemic has impacted industries across the globe. Lockdown was imposed to curb the spread of the deadly virus. This resulted in closure of the factories and manufacturing units. Few sectors switched to work from home (WFH) for the first time. The present study aims to understand and analyze the way in which Information Technology (IT) sector communicated on Twitter during the pandemic. The top ten IT companies in India were selected on the basis of net sales. Qualitative data analysis was employed to extract tweets, understand and analyze them. Tweets were extracted from the official Twitter handles of these top ten IT companies using N-Capture extension tool of NVivo 12 software from April 1, 2020 to April 30, 2021. To get insights out of collected data, Word Cloud, TreeMap and Sentiment Analysis of tweets were carried out using NVivo 12 software. The research found that IT companies focussed on digital transformation, business development, customer satisfaction and enriching customer experience, new product development for healthcare and insurance and organizational resilience. They also focussed on effective communication through Twitter in times of crisis. Most of the companies tweeted moderately positive. Very small numbers of tweets were found to be very negative. |
format | Online Article Text |
id | pubmed-10088774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-100887742023-04-12 Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO Chawla, Swati Sareen, Puja Gupta, Sangeeta Joshi, Meha Bajaj, Ritu Int J Inf Technol Original Research The corona virus (COVID-19) pandemic has impacted industries across the globe. Lockdown was imposed to curb the spread of the deadly virus. This resulted in closure of the factories and manufacturing units. Few sectors switched to work from home (WFH) for the first time. The present study aims to understand and analyze the way in which Information Technology (IT) sector communicated on Twitter during the pandemic. The top ten IT companies in India were selected on the basis of net sales. Qualitative data analysis was employed to extract tweets, understand and analyze them. Tweets were extracted from the official Twitter handles of these top ten IT companies using N-Capture extension tool of NVivo 12 software from April 1, 2020 to April 30, 2021. To get insights out of collected data, Word Cloud, TreeMap and Sentiment Analysis of tweets were carried out using NVivo 12 software. The research found that IT companies focussed on digital transformation, business development, customer satisfaction and enriching customer experience, new product development for healthcare and insurance and organizational resilience. They also focussed on effective communication through Twitter in times of crisis. Most of the companies tweeted moderately positive. Very small numbers of tweets were found to be very negative. Springer Nature Singapore 2023-04-10 2023 /pmc/articles/PMC10088774/ /pubmed/37256026 http://dx.doi.org/10.1007/s41870-023-01242-6 Text en © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Chawla, Swati Sareen, Puja Gupta, Sangeeta Joshi, Meha Bajaj, Ritu Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO |
title | Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO |
title_full | Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO |
title_fullStr | Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO |
title_full_unstemmed | Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO |
title_short | Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO |
title_sort | technology enabled communication during covid 19: analysis of tweets from top ten indian it companies using nvivo |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088774/ https://www.ncbi.nlm.nih.gov/pubmed/37256026 http://dx.doi.org/10.1007/s41870-023-01242-6 |
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