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Record W2255976000

Segment Disclosure and Corporate Governance: The Case of CICA Section 1701

2008· article· en· W2255976000 on OpenAlexaboutno aff
Fethi Saidi

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingBusinessCorporate governancePublicationOrder (exchange)Variety (cybernetics)Fiscal yearFinanceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Segment reporting has always been promoted as a mean to comprehend more adequately the activities and performance of the entire enterprise in order to make a better judgment about its future perspectives. It has been receiving attention from a variety of institutions, both at national and international levels (FASB, CICA, IASC/IASB, EEC, OECD…). For this, one of the early issues discussed by standards setters was the segmental reporting issue and all its relating questions. In response to user concerns regarding segment reporting, The American FASB jointly with the Canadian ICCA issued respectively SFAS No. 131 and ICCA 1701, Reporting Disaggregated Information about a Business Enterprise, in 1997. This standard became effective for fiscal years beginning on or after January 1, 1998. The move towards a new tailored standard was based on a segment defining approach called the approach. Under the management approach, a company would report financial information about each of its major organizational units for which financial results are already maintained and analyzed by top management. Accordingly, companies have to publish their segmented data by focusing on information that reflects the manner in which the entity manages its business activities and being used as a basis for their operational decisions making and used for their internal performance measurement. According to a considerable number of studies, the new standard enriched the informational environment by the production by a great volume of segment information disclosed by diversified companies. Moreover, these studies showed that the risk associated with the firm, the bid-ask spread, the information asymmetry and the dispersion among the financial analysts consensus all will be reduced following the adoption of this standard. In spite of the existence of this great support in favor of the virtues of this standard, there is also a growing of criticisms in connection with to it. In fact, considerable studies indicate that this disclosure standard is involved with the emergence of a number of issues. Most important among these is the proliferation of discretionary choices as regards segment disclosure on behalf of managers exerting as a result, an negative impact on the quality of the informational environment of the firm. Consequently, and given the advantages and the caveats of this standard, it is actually not clear if this standard will contribute to the existence of a lower or higher informational environment. The primary focus of this study is on how the governance variables interact with a mandatory disclosure requirement (SFAS 131, CICA 1701) in order to assess to scope for discretion allowed to managers through the segments identification process, profit and loss measurements, internal cost allocation and the use the provisions related to the application of this standard. Management have discretion in determining segments to be reported, identifying assets associated with each segment and in allocating shared costs across segments to calculate segment operating profit. This study examines corporate governance variables that may influence the chosen level of segment reporting. Association found between segment disclosure and governance may provide insight into segment reporting choices and should be of value in discovering additional aspects of the segment reporting requirements and in formulating future reporting policy. Therefore, it is hypothesized that segment reporting under the management approach offers a unique setting where it possible to study management discretion and accounting choices under a mandatory accounting regime.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.262
Teacher spread0.228 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2008
Admission routes1
Has abstractyes

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