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A decision framework for software startups to succeed in COVID-19 environment
The world is witnessing a pandemic of a severe infectious nature known as COVID-19. Many countries have used partial or complete lockdown to slow the spread of the virus, which has devastated the economies all over the world, and made hundreds of millions of people unemployed overnight. The lockdown...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928704/ http://dx.doi.org/10.1016/j.dajour.2022.100037 |
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author | Parthasarathy, Sudhaman |
author_facet | Parthasarathy, Sudhaman |
author_sort | Parthasarathy, Sudhaman |
collection | PubMed |
description | The world is witnessing a pandemic of a severe infectious nature known as COVID-19. Many countries have used partial or complete lockdown to slow the spread of the virus, which has devastated the economies all over the world, and made hundreds of millions of people unemployed overnight. The lockdown measures and work from home practices as a response to the spread of the new coronavirus threaten the existence of many innovative startups. In fact, many software startups are either with no projects on hand and only a few of them are able to attract customers for even maintenance projects. In this paper, we provide a decision framework to help software startups choose projects which will increase their chance of success given their historically low success rate and diminished level of IT investment. |
format | Online Article Text |
id | pubmed-8928704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89287042022-03-17 A decision framework for software startups to succeed in COVID-19 environment Parthasarathy, Sudhaman Decision Analytics Journal Article The world is witnessing a pandemic of a severe infectious nature known as COVID-19. Many countries have used partial or complete lockdown to slow the spread of the virus, which has devastated the economies all over the world, and made hundreds of millions of people unemployed overnight. The lockdown measures and work from home practices as a response to the spread of the new coronavirus threaten the existence of many innovative startups. In fact, many software startups are either with no projects on hand and only a few of them are able to attract customers for even maintenance projects. In this paper, we provide a decision framework to help software startups choose projects which will increase their chance of success given their historically low success rate and diminished level of IT investment. The Author(s). Published by Elsevier Inc. 2022-06 2022-03-17 /pmc/articles/PMC8928704/ http://dx.doi.org/10.1016/j.dajour.2022.100037 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Parthasarathy, Sudhaman A decision framework for software startups to succeed in COVID-19 environment |
title | A decision framework for software startups to succeed in COVID-19 environment |
title_full | A decision framework for software startups to succeed in COVID-19 environment |
title_fullStr | A decision framework for software startups to succeed in COVID-19 environment |
title_full_unstemmed | A decision framework for software startups to succeed in COVID-19 environment |
title_short | A decision framework for software startups to succeed in COVID-19 environment |
title_sort | decision framework for software startups to succeed in covid-19 environment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928704/ http://dx.doi.org/10.1016/j.dajour.2022.100037 |
work_keys_str_mv | AT parthasarathysudhaman adecisionframeworkforsoftwarestartupstosucceedincovid19environment AT parthasarathysudhaman decisionframeworkforsoftwarestartupstosucceedincovid19environment |