Accounting perspectives on the business value of big data during and beyond the Covid-19 pandemic
AffiliationUniversity of Bedfordshire
De Montfort Universit
University of Portsmouth
SubjectsBig Data analytics
Big Data risks
Big Data governance
Subject Categories::N400 Accounting
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AbstractResearch Question: How can business organizations develop accounting practices to use big data to create competitive intelligence advantages to survive during and beyond the Covid-19 conditions? Motivation: We aim to provide new accounting perspectives for using big data techniques in business organizations beyond the covid-19. Idea: We argue that the massive reduction in business capacity and operations will interpose the accounting and financial practices beyond the COVID-19 pandemic. There is a crucial need to uncover the underlying business practices and market circumstances toward the radical shifts in business and society. Date: Our paper uses a desk study method to investigate companies' possible challenges and opportunities to use big data analytics as a survival method during and beyond the Covid-19 conditions. Tools: Critical contingencies represent one of the leading business strategies to manage the shift in customer demand and business risks. Big data can be used in this sense as a valuable intangible asset to create these critical contingencies and help a business survive beyond this pandemic. Findings: This study provides policy and practitioner implications in relation to establishing new accounting perspectives on big data analytics in the context of achieving economic sustainability for corporations during and beyond the Covid-19 pandemic. It offers new forms of trust, accountability and governance practices to integrate big data into accounting practices to create more competitive intelligence for businesses.
CitationSaeudy S, Gerged AM, Albitar K (2022) 'Accounting perspectives on the business value of big data during and beyond the Covid-19 pandemic', Journal of Accounting and Management Information Systems, (), pp.-.
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