Implementation of Big Data Analytics Model in SMEs to Enhance Productivity in Post Covid Era


Authors : Ali Ahmad Albina

Volume/Issue : Volume 7 - 2022, Issue 9 - September

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3fZ82tJ

DOI : https://doi.org/10.5281/zenodo.7183867

Big data analytics (BDA) pledges that information could be categorized and analyzed into valuable data for small businesses and enterprises to transform into big data related knowledge and effective decision making cascades, by enlightening the performance of firms during and after the unprecedented conditions like COVID-19. Administration of data spawned from BDA, its integration and combination with business knowledge have hardly been investigated, despite of emergent, integrated, and structured approaches. This article aims to explore these challenges and figure out the possible remedies. Through an empirical analysis based on the contents of literature previously published in various journals the researchers evaluated the BDA capabilities to cope with the pandemic and their emergence after the pandemic. The findings suggest that the SMEs that developed technological advancements in their business models are resilient and sustainable after the COVID-19 due to the ability to incorporate innovations in their operational architecture. So, it could increase the efficiency that is based on the technology and innovations and playing a significant role in revenue generation for the firm. This research will explore new windows for the success of SMEs by utilizing the innovation in ICT and incorporate it into their business models.

Keywords : Big data analytics, SMEs, ICT, Knowledge management, Business models

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