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Technology Management for Accelerated Recovery during COVID-19: A Data-Driven Machine Learning Approach Morande, Swapnil; Tewari, Veena
SEISENSE Journal of Management Vol. 3 No. 5 (2020): SEISENSE Journal of Management
Publisher : SEISENSE (PRIVATE) LIMITED

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33215/sjom.v3i5.445

Abstract

Objective- The research looks forward to extracting strategies for accelerated recovery during the ongoing Covid-19 pandemic. Design - Research design considers quantitative methodology and evaluates significant factors from 170 countries to deploy supervised and unsupervised Machine Learning techniques to generate non-trivial predictions. Findings - Findings presented by the research reflect on data-driven observation applicable at the macro level and provide healthcare-oriented insights for governing authorities. Policy Implications - Research provides interpretability of Machine Learning models regarding several aspects of the pandemic that can be leveraged for optimizing treatment protocols. Originality - Research makes use of curated near-time data to identify significant correlations keeping emerging economies at the center stage. Considering the current state of clinical trial research reflects on parallel non-clinical strategies to co-exist with the Coronavirus.
Mapping digital ecosystem for competitive advantage using technological advancements Morande, Swapnil; Tewari, Veena
Electronic Journal of Education, Social Economics and Technology Vol 4, No 2 (2023)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.705 KB) | DOI: 10.33122/ejeset.v4i2.18

Abstract

‘Digital Ecosystem’ is the interdependence of computer software, hardware, and digital services that play a significant role in fulfilling the organization’s objectives. It is a convergence of recent broadband adoption and technological advancement that has pushed the state-of-the-art technologies, and industrial commerce into a flux, for greater market penetration. One of the most significant advantages of the Digital Ecosystem includes mapping of consumer interest (with product or services) to gain a competitive advantage in the market. The research presents various tangible and intangible benefits received by the organization with the help of the Digital Ecosystem. In the future, customers are likely to align their buying behavior based on ‘Digital Ecosystems’ they prefer. The variables involved in buying behavior are complex as well as difficult to measure; hence the qualitative approach has been followed to integrate various aspects of the proposed study. This research is significant because the ‘Digital Ecosystem’ can be a part of a business strategy that can gauge customer requirements, enhance customer experience, and retain customer loyalty.