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Record W2568079685 · doi:10.1108/aaaj-04-2014-1671

Explaining the demise of the intellectual capital statement in Denmark

2017· article· en· W2568079685 on OpenAlexfundno aff
Christian Nielsen, Robin Roslender, Stefan Schaper

Bibliographic record

VenueAccounting Auditing & Accountability Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsnot available
FundersUniversità degli Studi G. d'Annunzio Chieti - PescaraAalborg UniversitetUniversity of St AndrewsYork UniversityUniversity of Dundee
KeywordsDemiseIntellectual capitalStatement (logic)AccountingFinancial statementPolitical scienceEconomicsLawAudit

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to provide an overview of the Danish Guideline Project (DGP) and its subsequent fate within participating companies since its conclusion in late 2002. Particular focus is placed on the traction that the intellectual capital statement (ICS) approach to reporting, as the principal outcome of the project, was able to acquire in practice. Design/methodology/approach Following the reconstruction of the original sample of 102 companies that originally participated in the project, a survey using semi-structured interviews was pursued among 64 individuals who were identified as having some involvement with the guideline project and/or producing ICSs in these companies. In addition to the interviews, a range of secondary information has been used to supplement the primary data and research protocol. Findings The project was found to have enjoyed only modest success and thereby failed to achieve any substantial traction among the participating companies and related public stakeholders. On balance, however, respondents believed that the exercise had been a positive experience, with benefits for the internal management of the companies, as well as for human capital (employees). The obstacles that radical initiatives such as the ICS continue to face should not be underestimated. Research limitations/implications A single study of a specific initiative necessarily entails many limitations. It is conceivable that the views of some of the participants in the guideline project who are absent from the present sample may provide details of a different experience, although it is unlikely that these would seriously challenge the findings reported here. Originality/value This study is the first to explore the fate of the critically acclaimed ICS approach among companies participating in the DGP.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.029
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.029
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.016
Scholarly communication0.0150.005
Open science0.0020.009
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.260
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations34
Published2017
Admission routes1
Has abstractyes

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Same venueAccounting Auditing & Accountability JournalSame topicIntellectual Capital and Performance AnalysisFrench-language works237,207