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Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World
In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity. The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913073/ https://www.ncbi.nlm.nih.gov/pubmed/35281539 http://dx.doi.org/10.1155/2022/6967158 |
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author | Darwiesh, Abdelaziz Alghamdi, Mohammed. I El-Baz, A. H. Elhoseny, Mohamed |
author_facet | Darwiesh, Abdelaziz Alghamdi, Mohammed. I El-Baz, A. H. Elhoseny, Mohamed |
author_sort | Darwiesh, Abdelaziz |
collection | PubMed |
description | In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity. The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligence systems. In addition, we survey the most outstanding related papers to this study. Open challenges based on this framework are described as well, and a proposed methodology to minimize these challenges is given. Finally, the conclusion and further research points that are worth studying are discussed. |
format | Online Article Text |
id | pubmed-8913073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-89130732022-03-11 Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World Darwiesh, Abdelaziz Alghamdi, Mohammed. I El-Baz, A. H. Elhoseny, Mohamed J Healthc Eng Research Article In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity. The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligence systems. In addition, we survey the most outstanding related papers to this study. Open challenges based on this framework are described as well, and a proposed methodology to minimize these challenges is given. Finally, the conclusion and further research points that are worth studying are discussed. Hindawi 2022-03-03 /pmc/articles/PMC8913073/ /pubmed/35281539 http://dx.doi.org/10.1155/2022/6967158 Text en Copyright © 2022 Abdelaziz Darwiesh et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Darwiesh, Abdelaziz Alghamdi, Mohammed. I El-Baz, A. H. Elhoseny, Mohamed Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World |
title | Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World |
title_full | Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World |
title_fullStr | Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World |
title_full_unstemmed | Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World |
title_short | Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World |
title_sort | social media big data analysis: towards enhancing competitiveness of firms in a post-pandemic world |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913073/ https://www.ncbi.nlm.nih.gov/pubmed/35281539 http://dx.doi.org/10.1155/2022/6967158 |
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