Research output: Working paper/Preprint › Working paper › Research
Management accounting and the idea of machine learning. / Nielsen, Steen.
Aarhus : Institut for Økonomi, Aarhus Universitet, 2020.Research output: Working paper/Preprint › Working paper › Research
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TY - UNPB
T1 - Management accounting and the idea of machine learning
AU - Nielsen, Steen
PY - 2020/8
Y1 - 2020/8
N2 - Not only is the role of data changing in a most dramatic way, but also the way we can handle and use the data through a number of new technologies such as Machine Learning (ML) and Artificial Intelligence (AI). The changes, their speed and scale, as well as their impact on almost every aspect of daily life and, of course, on Management Accounting are almost unbelievable. The term ‘data’ in this context means business data in the broadest possible sense. ML teaches computers to do what comes naturally to humans and decision makers: that is to learn from experience. ML and AI for management accountants have only been sporadically discussed within the last 5-10 years, even though these concepts have been used for a long time now within other business fields such as logistics and finance. ML and AI are extensions of Business Analytics. This paper discusses how machine learning will provide new opportunities and implications for the management accountants in the future. First, it was found that many classical areas and topics within Management Accounting and Performance Management are natural candidates for ML and AI. The true value of the paper lies in making practitioners and researchers more aware of the possibilities of ML for Management Accounting, thereby making the management accountants a real value driver for the company.
AB - Not only is the role of data changing in a most dramatic way, but also the way we can handle and use the data through a number of new technologies such as Machine Learning (ML) and Artificial Intelligence (AI). The changes, their speed and scale, as well as their impact on almost every aspect of daily life and, of course, on Management Accounting are almost unbelievable. The term ‘data’ in this context means business data in the broadest possible sense. ML teaches computers to do what comes naturally to humans and decision makers: that is to learn from experience. ML and AI for management accountants have only been sporadically discussed within the last 5-10 years, even though these concepts have been used for a long time now within other business fields such as logistics and finance. ML and AI are extensions of Business Analytics. This paper discusses how machine learning will provide new opportunities and implications for the management accountants in the future. First, it was found that many classical areas and topics within Management Accounting and Performance Management are natural candidates for ML and AI. The true value of the paper lies in making practitioners and researchers more aware of the possibilities of ML for Management Accounting, thereby making the management accountants a real value driver for the company.
KW - Management accounting
KW - Machine learning
KW - Algorithms
KW - Decisions
KW - Analytics
KW - Management accountant
KW - Business translator
KW - Performance management
M3 - Working paper
T3 - Economics Working Papers
BT - Management accounting and the idea of machine learning
PB - Institut for Økonomi, Aarhus Universitet
CY - Aarhus
ER -