Strategic management accounting practices between developed and emerging economies using Machine Learning

Authors

  • Dr. Mohammad Salameh Almahairah , Dr. Vinod Kumar Saroha, Anju Asokan, Dr. P. Umaeswari,
  • Javed Akhtar Khan, Dr Melanie Elizabeth Lourens

DOI:

https://doi.org/10.47750/pnr.2022.13.09.753

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 6318 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.

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Published

2022-12-20 — Updated on 2022-12-21

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How to Cite

Strategic management accounting practices between developed and emerging economies using Machine Learning. (2022). Journal of Pharmaceutical Negative Results, 6317-6331. https://doi.org/10.47750/pnr.2022.13.09.753 (Original work published 2022)