Cargando…
A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis
The COVID-19 pandemic crisis has fundamentally changed the way we live and work forever. The business sector is forecasting and formulating different scenarios associated with the impact of the pandemic on its employees, customers, and suppliers. Various business retrieval models are under construct...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450048/ http://dx.doi.org/10.1016/j.health.2021.100004 |
_version_ | 1784569542728482816 |
---|---|
author | Hajipour, Vahid Aminian, Mohammad Gharaei, Ali Jalali, Sajjad |
author_facet | Hajipour, Vahid Aminian, Mohammad Gharaei, Ali Jalali, Sajjad |
author_sort | Hajipour, Vahid |
collection | PubMed |
description | The COVID-19 pandemic crisis has fundamentally changed the way we live and work forever. The business sector is forecasting and formulating different scenarios associated with the impact of the pandemic on its employees, customers, and suppliers. Various business retrieval models are under construction to cope with life after the COVID-19 Pandemic Crisis. However, the proposed plans and scenarios are static and cannot address the dynamic pandemic changes worldwide. They also have not considered the peripheral in-between scenarios to propel the shifting paradigm of businesses from the existing condition to the new one. Furthermore, the scenario drivers in the current studies are generally centered on the economic aspects of the pandemic with little attention to the social facets. This study aims to fill this gap by proposing scenario planning and analytics to study the impact of the Coronavirus pandemic on large-scale information technology-led Companies. The primary and peripheral scenarios are constructed based on a balanced set of business continuity and employee health drivers. Practical action plans are formulated for each scenario to devise plausible responses. Finally, a damage management framework is developed to cope with the mental disorders of the employees amid the disease. |
format | Online Article Text |
id | pubmed-8450048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84500482021-09-20 A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis Hajipour, Vahid Aminian, Mohammad Gharaei, Ali Jalali, Sajjad Healthcare Analytics Article The COVID-19 pandemic crisis has fundamentally changed the way we live and work forever. The business sector is forecasting and formulating different scenarios associated with the impact of the pandemic on its employees, customers, and suppliers. Various business retrieval models are under construction to cope with life after the COVID-19 Pandemic Crisis. However, the proposed plans and scenarios are static and cannot address the dynamic pandemic changes worldwide. They also have not considered the peripheral in-between scenarios to propel the shifting paradigm of businesses from the existing condition to the new one. Furthermore, the scenario drivers in the current studies are generally centered on the economic aspects of the pandemic with little attention to the social facets. This study aims to fill this gap by proposing scenario planning and analytics to study the impact of the Coronavirus pandemic on large-scale information technology-led Companies. The primary and peripheral scenarios are constructed based on a balanced set of business continuity and employee health drivers. Practical action plans are formulated for each scenario to devise plausible responses. Finally, a damage management framework is developed to cope with the mental disorders of the employees amid the disease. The Author(s). Published by Elsevier Inc. 2021-11 2021-09-20 /pmc/articles/PMC8450048/ http://dx.doi.org/10.1016/j.health.2021.100004 Text en © 2021 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 Hajipour, Vahid Aminian, Mohammad Gharaei, Ali Jalali, Sajjad A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis |
title | A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis |
title_full | A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis |
title_fullStr | A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis |
title_full_unstemmed | A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis |
title_short | A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis |
title_sort | business retrieval model using scenario planning and analytics for life during and after the pandemic crisis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450048/ http://dx.doi.org/10.1016/j.health.2021.100004 |
work_keys_str_mv | AT hajipourvahid abusinessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis AT aminianmohammad abusinessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis AT gharaeiali abusinessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis AT jalalisajjad abusinessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis AT hajipourvahid businessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis AT aminianmohammad businessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis AT gharaeiali businessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis AT jalalisajjad businessretrievalmodelusingscenarioplanningandanalyticsforlifeduringandafterthepandemiccrisis |