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Record W1995716528 · doi:10.5339/qfarf.2012.ahp9

The chief financial officer of the 21st century

2012· article· en· W1995716528 on OpenAlexaboutno aff
John Chibaya Mbuya

Bibliographic record

VenueQatar Foundation Annual Research Forum Volume 2012 Issue 1 · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerAccountingStrategistStock exchangeBusinessManagementPublic relationsPolitical scienceFinanceMarketingEconomics

Abstract

fetched live from OpenAlex

Over the past fifty years, the role of the chief financial officer has evolved from that of an accountant to that of strategist and business partner. This past decade has seen important research conducted into the evolving role of the CFO by organisations in the United States of America, Canada, Australia, South Africa,The Arab World and New Zealand, as well by the International Federation of Accountants. By 2007, the issue of whether the role of the CFO in South Africa had evolved (and, if so, how) had not yet been researched by the accounting profession. In late 2007, the South African Institute of Chartered Accountants embarked on such a research project entitled "The CFO of the future". This paper is a process report for phase 1 of the research. The purpose of this process report is fourfold. Firstly, it provides the background to the research project. Secondly, the paper reflects on other important studies conducted into the changing role of the CFO. The paper then presents a new model of the different roles that a CFO could play in corporate South Africa so as to categorise the focus areas that CFOs could address now and in the future. Lastly, the paper explains how the model was used to prepare a questionnaire sent to CFOs of the Top 40 companies listed on the Johannesburg Stock Exchange Limited based on market capitalisation. This questionnaire was sent on behalf on the South African Institute of Chartered Accountants as a research tool used to elicit the views of business leaders at the top of the corporate ladder. The process followed and response rate achieved are also reflected upon.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.351
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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