Purpose – The paper seeks to introduce a method based on the Markowitz mean‐variance portfolio approach to outline a theory of future firm, its environment, and management accounting systems (MASs). The approach is based on the target to choose propositions for the theory to maximise expected credibility. Design/methodology/approach – A conceptual approach with mathematical modelling is presented. It is illustrated by a set propositions extracted from a survey presented previously. The survey results are used to design a theory of future MASs by choosing an efficient sub‐set of propositions with the help of combinatory optimisation. Findings – When maximising the credibility of a theory of future MAS, the trade‐off between the mean and the variance of expert judgments should be considered. The resulting theory depends on the level for disagreement aversion by the theory builder. The approach is a useful tool to design a theory of future MASs. Research limitations/implications – How to select the level of trade‐off between the mean and the variance of judgments should be analysed further. The methods to design propositions for a theory should be researched in more detail. Possible instrumentation and response biases should be assessed. Practical implications – This approach provides a practical method to analyse judgments to form a consistent set (portfolio) of propositions. It can be applied to any theory building where propositions cannot be tested (such as in futures research) but only assessed by experts. Originality/value – The paper includes a new approach for researchers, consultants, and teachers to form a theory of future phenomena such as future MASs.
EuroMed Journal of Business – Emerald Publishing
Published: May 16, 2008
Keywords: Management accounting; Portfolio management; Variance accounting
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera