Editorial Volume 6 Issue 5
Clicks: 127
ID: 91296
2012
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
2.7
/100
9 views
9 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
The articles published in this issue of AABFJ cover a variety of discipline areas as well as providing a contrast in methodologies for research. Cheung and Powell (2012) provide guidance on the use of the Excel modelling package to construct parametric and Monte Carlo Simulation models. Lama (2012) examined the relationship between corporate governance and a firm’s performance as measured by return on equity, earning yield and return on assets, and found and found that in mid-sized Australian ASX companies there was a positive correlation. Morunga and Bradbury (2012) report on the data overload found in the financial reports of New Zealand companies as a result of the disclosure requirements emanating from the adoption and implementation of the International Financial Reporting Standards in New Zealand.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (123 words).
Try re-searching for a better abstract.
| Reference Key |
perrin2012editorialaustralasian
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Perrin, Ron;Laing, Greg;Smark, Ciorstan; |
| Journal | australasian accounting, business and finance journal |
| Year | 2012 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.