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Strategic management accounting practices between developed and emerging economies using machine learning

dc.contributor.authorAlmahairah, Mohammad Salamehen_US
dc.contributor.authorSaroha, Vinod Kumaren_US
dc.contributor.authorAsokan, Anjuen_US
dc.contributor.authorUmaeswari, P.en_US
dc.contributor.authorKhan, Javed Akhtaren_US
dc.contributor.authorLourens, Melanie Elizabethen_US
dc.date.accessioned2023-01-18T06:24:18Z
dc.date.available2023-01-18T06:24:18Z
dc.date.issued2022-11-11
dc.date.updated2023-01-17T10:53:00Z
dc.description.abstractData'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.en_US
dc.format.extent15 pen_US
dc.identifier.citationAlmahairah, 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).en_US
dc.identifier.doi10.47750/pnr.2022.13.09.753
dc.identifier.issn2229-7723
dc.identifier.urihttps://hdl.handle.net/10321/4565
dc.language.isoenen_US
dc.relation.ispartofJournal of Pharmaceutical Negative Results; Vol. 13, Issue 9en_US
dc.subjectMachine learningen_US
dc.subject1115 Pharmacology and Pharmaceutical Sciencesen_US
dc.subjectDecisionsen_US
dc.subjectManagement accountanten_US
dc.subjectAnalyticsen_US
dc.subjectManagement accountingen_US
dc.titleStrategic management accounting practices between developed and emerging economies using machine learningen_US
dc.typeArticleen_US

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