Abstract
The current COVID-19 pandemic has led to a devastating socio-economic predicament, which has resulted in the temporary closure and collapse of thousands of businesses across the globe. The quicker companies can respond to the current pandemic situation, the more likely their chances of surviving in the short or long term. Businesses around the world are compelled to make significant changes to their business operations, such as downsizing, product, and service diversification. To address these changes quickly, companies need to adopt or capitalize on their business intelligence strategies through agile risk management, artificial intelligence systems, and data analytics to help make informed decisions to enhance business operations amid COVID-19. This article outlines some practical and theoretical recommendations of business intelligence strategies for organizations and their service supply chain network on how to be adaptive, flexible, and innovative to survive and stay competitive during these challenging times by leveraging agile dimensions, artificial intelligence systems, and data analytics.
Highlights
COVID-19 is one of the deadliest viruses ever to have affected the world
The fact can never be disputed that the effective use of artificial intelligence systems and data analytics capabilities within the agile dimension’s components will help improve and sustain an organization and its service supply chain network as we go through unprecedented dynamic times
By applying business intelligence systems and predictive analytics, management will gain insights from data and information shared across the organization and its service supply chain networks to predict the most likely outcomes or future scenarios and its implications on business operations
Summary
COVID-19 is one of the deadliest viruses ever to have affected the world. Since the spread of the virus, most essential and non-essential businesses have had no choice than to lose stock market price, downsize, close temporary, and fold their. The fact can never be disputed that the effective use of artificial intelligence systems and data analytics capabilities within the agile dimension’s components will help improve and sustain an organization and its service supply chain network as we go through unprecedented dynamic times. The current changes as a result of the novel COVID-19 call for a revisit of agility risk management dimensions through the integration of artificial intelligence systems and data analytics to help managers gain insights within their internal and external organization to make effective decisions to take necessary actions, with flexibility and responsiveness to enhance business performance. The final section concludes with a summary of the study
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