Dr Mohammed Albakri m.albakri@salford.ac.uk
Lecturer
Sustainable business and collaboration driven by big data analytics amidst the emergence of the remote work culture
Ali, MB; Edghiem, F
Authors
F Edghiem
Abstract
There have been many digital advancements that have helped facilitate digital transformation, such as the web's transformation. Many organisations, large and small, have recognised the power of the participatory web to improve productivity and efficiency. However, until recently, it has had little focus in the business and management literature in facilitating sustainable business-to-business (B2B) activities such as remote work practices. Two interrelated functions of business, operations, and marketing have been mapped against three dimensions of sustainability to show how these interrelated functions are related to the three dimensions of sustainability. For that reason, the research shows that with big data and social media analytics integrated into a participatory web environment, B2B companies are able to be profitable and stay sustainable by using their organisational and marketing operations and services strategically, whether it be internally or externally with other organisations.
Citation
Ali, M., & Edghiem, F. Sustainable business and collaboration driven by big data analytics amidst the emergence of the remote work culture. In Remote Work and Sustainable Changes for the Future of Global Business (15-32). Business Science Reference. https://doi.org/10.4018/978-1-7998-7513-0.ch002
Deposit Date | Sep 12, 2022 |
---|---|
Pages | 15-32 |
Book Title | Remote Work and Sustainable Changes for the Future of Global Business |
ISBN | 9781799875130 |
DOI | https://doi.org/10.4018/978-1-7998-7513-0.ch002 |
Publisher URL | https://www.igi-global.com/chapter/sustainable-business-and-collaboration-driven-by-big-data-analytics-amidst-the-emergence-of-the-remote-work-culture/281441 |
You might also like
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search