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Information quality and management accounting : a simulation analysis of biases in costing systems / by Stephan Leitner.

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Format:
Book
Author/Creator:
Leitner, Stephan.
Series:
Lecture Notes in Economics and Mathematical Systems, 0075-8442 ; 664
Lecture notes in economics and mathematical systems ; 664
Language:
English
Subjects (All):
Managerial accounting--Data processing.
Managerial accounting.
Managerial accounting--Decision making.
Information resources management--Quality control.
Information resources management.
Physical Description:
1 online resource (204 p.)
Edition:
1st ed. 2012.
Place of Publication:
Berlin ; London : Springer, 2012.
Language Note:
English
Summary:
One of the main aims of management accounting is to provide managers with accurate information in order to provide a good basis for decision-making. There is evidence that the information provided by management accounting systems (MAS) is distorted and the occurrence of biases in accounting information is widely accepted among users of MAS. At the same time, the intensity and the frequency of use of MAS increase, too. Consequently, the quality of the provided information is critical. The focus of this simulation study is twofold. On the one hand, the impact of the sophistication of traditional costing systems on error propagation in the case of a set of input biases is investigated. On the other hand, the impact of single and multiple input biases on the quality of the information provided by traditional costing systems is focused. In order to investigate the research questions, a simulation approach is applied.
Contents:
Introduction
Management Accounting
Conceptual and Theoretical Framework
Research Design and Model Formalization
Costing System Sophistication and Quality of Provided Information
Effects of Single Input Biases on the Quality of Provided Information
Effects of Multiple Input Biases on the Quality of Provided Information
Discussion
Summary and Conclusion.
Notes:
Description based upon print version of record.
ISBN:
3-642-33209-9
OCLC:
827212423

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