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Publication Detailed Description
Journal Title
Accounting and Business Research
Year (definitive publication)
1996
Language
English
Country
United Kingdom
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Abstract
This article seeks to provide an overview of the potential role of neural network (connectionist) methodology in empirical accounting research. It highlights how the accounting task domain differs substantially from those for which neural network techniques were originally developed. A non-technical overview of neural network methodology is given along with guidelines to help accounting researchers interested in applying these new tools to recognise the potential dangers and strengths underlying their use. An illustrative example is provided. The paper suggests research areas in accounting where neural network approaches could make a potential contribution. Explicit recommendations for prospective authors are made.
Acknowledgements
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Keywords
Fields of Science and Technology Classification
- Economics and Business - Social Sciences
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