Modelling the Extent of Financial Reporting Practices amongst Australian Manufacturing SMEs

Modelling the Extent of Financial Reporting Practices amongst Australian Manufacturing SMEs This paper describes an exploratory study of financial reporting practices amongst small and medium-sized enterprises (SMEs) engaged in manufacturing in Australia. Non-linear principal components analysis is employed in empirical derivation of an overall measure of the comprehensiveness of financial reporting practices undertaken in the SMEs investigated. Non-linear principal components analysis is also used in empirically capturing the business context in terms of enterprise and financial management characteristics. Polytomous logistic regression modelling reveals development orientation, extent of owner-management, technological complexity, degree of reliance upon external financial advice, and the financial reporting climate to be the most significant influences on the extent of financial reporting practices in the SMEs under study. Of the business context factors identified, development orientation and financial reporting climate seem to have greatest impact. The study appears to reinforce the impression that SME growth is a key driver towards more sophisticated financial reporting practices. Alternately, better financial reporting may be viewed as an important enabling factor in realising the growth aspirations of such concerns. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Small Business Economics Springer Journals

Modelling the Extent of Financial Reporting Practices amongst Australian Manufacturing SMEs

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 1999 by Kluwer Academic Publishers
Subject
Business and Management; Management; Microeconomics; Entrepreneurship; Industrial Organization
ISSN
0921-898X
eISSN
1573-0913
D.O.I.
10.1023/A:1008125717596
Publisher site
See Article on Publisher Site

Abstract

This paper describes an exploratory study of financial reporting practices amongst small and medium-sized enterprises (SMEs) engaged in manufacturing in Australia. Non-linear principal components analysis is employed in empirical derivation of an overall measure of the comprehensiveness of financial reporting practices undertaken in the SMEs investigated. Non-linear principal components analysis is also used in empirically capturing the business context in terms of enterprise and financial management characteristics. Polytomous logistic regression modelling reveals development orientation, extent of owner-management, technological complexity, degree of reliance upon external financial advice, and the financial reporting climate to be the most significant influences on the extent of financial reporting practices in the SMEs under study. Of the business context factors identified, development orientation and financial reporting climate seem to have greatest impact. The study appears to reinforce the impression that SME growth is a key driver towards more sophisticated financial reporting practices. Alternately, better financial reporting may be viewed as an important enabling factor in realising the growth aspirations of such concerns.

Journal

Small Business EconomicsSpringer Journals

Published: Sep 30, 2004

References

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