Strategic management accounting practices between developed and emerging economies using machine learning
Date
2022-11-11
Authors
Almahairah, Mohammad Salameh
Saroha, Vinod Kumar
Asokan, Anju
Umaeswari, P.
Khan, Javed Akhtar
Lourens, Melanie Elizabeth
Journal Title
Journal ISSN
Volume Title
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Abstract
Data's function is changing dramatically, but new technologies like machine learning (ML) is also transforming how
we can handle and use the data (AI). Nearly astounding are the changes, their pace and scope, and how they
affect practically every facet of daily life, including management accounting of course. In this purview, the term
"data" refers to business data in its broadest definition. Computers can now learn from experience much like
humans and decision-makers do thanks to machine learning (ML). ML and AI for the management accountants have
occasionally been considered in the previous 5 to 10 years, despite the fact that these ideas have been applied for
a long time in other company disciplines like banking and logistics. Due to the critical role that management
accountants play in an organization's success; this study demonstrates the need for greater research on numerous
developing technologies in a timely manner. To make more accurate forecasts and enhance reporting and decisionmaking, many firms must use business intelligence and analytics technologies, machine learning algorithms, and
Journal of Pharmaceutical Negative Results ¦ Volume 13 ¦ Special Issue 9 ¦ 2022
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the Internet of Things. This study explores the effects of new technology on management accountants' abilities to
lead business units to success in international marketplaces. It does so by examining, describing, analyzing, and
summarizing some of that research.
Description
Keywords
Machine learning, 1115 Pharmacology and Pharmaceutical Sciences, Decisions, Management accountant, Analytics, Management accounting
Citation
Almahairah, M.S. 2022. Strategic management accounting practices between developed and emerging economies using Machine Learning. Journal of Pharmaceutical Negative Results. 13(9): 6317-6331 (14).
DOI
10.47750/pnr.2022.13.09.753