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Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers
Remote working has played an increasingly important role in accelerating alternative workplaces. In the wake of the COVID-19 pandemic emergency demands, this paper seek to demonstrate the resilience of knowledge workers and their ability to work remotely, despite the uneven distribution of enabling...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030181/ https://www.ncbi.nlm.nih.gov/pubmed/36968670 http://dx.doi.org/10.1016/j.procs.2023.01.375 |
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author | Matli, Walter Phurutsi, Mashitishi |
author_facet | Matli, Walter Phurutsi, Mashitishi |
author_sort | Matli, Walter |
collection | PubMed |
description | Remote working has played an increasingly important role in accelerating alternative workplaces. In the wake of the COVID-19 pandemic emergency demands, this paper seek to demonstrate the resilience of knowledge workers and their ability to work remotely, despite the uneven distribution of enabling infrastructure during the COVID-19 lockdown restrictions. The Belief Action Outcome (BAO) model for information systems was used to support the study as this underexplored theory was found to be worthy of further testing in real-world situations. This qualitative study used a range of sources consisting largely of search data from major online journal databases. The findings highlight that knowledge workers can successfully work from alternative workplaces and still deliver the required outputs, despite socio-economic problems such as locational disparities and inequalities in access to technology. The same technologies that empowered knowledge workers to transform their work locations during the COVID-19 crisis, however, are the same to enable certain sectors of society whilst hindering other cohorts residing in under resourced locations. Therefore, the benefits of working remotely cannot favour everyone because of the existing inequalities and disparities. Applying the BAO model in this context implies environmental issues are likely to play a growing important role in future when decisions are made around alternative workplace and adoption of IS/IT systems. Although the COVID-19 pandemic has disrupted working patterns and accelerated the trend towards working in alternative workplaces than the traditional office/factory premises, there are notable implications around this shift. The study confirmed the related behaviours, opportunities, and barriers (social systems and organisations), as well as the structures (both societal and organisational) of the BAO model. In addition, certain aspects of both the remote workers’ and organisations’ adoption behaviour were changed to a greater extent and more rapidly because of the COVID-19 pandemic. As a contribution, this qualitative study reveals in more detail the yet uncharted remote workers' beliefs. |
format | Online Article Text |
id | pubmed-10030181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100301812023-03-22 Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers Matli, Walter Phurutsi, Mashitishi Procedia Comput Sci Article Remote working has played an increasingly important role in accelerating alternative workplaces. In the wake of the COVID-19 pandemic emergency demands, this paper seek to demonstrate the resilience of knowledge workers and their ability to work remotely, despite the uneven distribution of enabling infrastructure during the COVID-19 lockdown restrictions. The Belief Action Outcome (BAO) model for information systems was used to support the study as this underexplored theory was found to be worthy of further testing in real-world situations. This qualitative study used a range of sources consisting largely of search data from major online journal databases. The findings highlight that knowledge workers can successfully work from alternative workplaces and still deliver the required outputs, despite socio-economic problems such as locational disparities and inequalities in access to technology. The same technologies that empowered knowledge workers to transform their work locations during the COVID-19 crisis, however, are the same to enable certain sectors of society whilst hindering other cohorts residing in under resourced locations. Therefore, the benefits of working remotely cannot favour everyone because of the existing inequalities and disparities. Applying the BAO model in this context implies environmental issues are likely to play a growing important role in future when decisions are made around alternative workplace and adoption of IS/IT systems. Although the COVID-19 pandemic has disrupted working patterns and accelerated the trend towards working in alternative workplaces than the traditional office/factory premises, there are notable implications around this shift. The study confirmed the related behaviours, opportunities, and barriers (social systems and organisations), as well as the structures (both societal and organisational) of the BAO model. In addition, certain aspects of both the remote workers’ and organisations’ adoption behaviour were changed to a greater extent and more rapidly because of the COVID-19 pandemic. As a contribution, this qualitative study reveals in more detail the yet uncharted remote workers' beliefs. The Author(s). Published by Elsevier B.V. 2023 2023-03-22 /pmc/articles/PMC10030181/ /pubmed/36968670 http://dx.doi.org/10.1016/j.procs.2023.01.375 Text en © 2023 The Author(s). Published by Elsevier B.V. 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 Matli, Walter Phurutsi, Mashitishi Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers |
title | Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers |
title_full | Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers |
title_fullStr | Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers |
title_full_unstemmed | Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers |
title_short | Extending the use of the Belief Action Outcome model during COVID-19 pandemic: Technology access review on locational disparities and inequalities for knowledge workers |
title_sort | extending the use of the belief action outcome model during covid-19 pandemic: technology access review on locational disparities and inequalities for knowledge workers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030181/ https://www.ncbi.nlm.nih.gov/pubmed/36968670 http://dx.doi.org/10.1016/j.procs.2023.01.375 |
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