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Record W3176862296 · doi:10.1108/qrfm-04-2020-0060

Disclosure effectiveness in the financial planning industry

2021· article· en· W3176862296 on OpenAlex
Daniel W. Richards, Maryam Safari

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQualitative Research in Financial Markets · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsYork University
Fundersnot available
KeywordsFinancial servicesOriginalityFinanceBusinessCorporate governanceFinancial planTransparency (behavior)Full disclosureQualitative researchAccounting managementInformation asymmetryAccountingPublic relationsAccounting information systemSociology

Abstract

fetched live from OpenAlex

Purpose Scandals in the Australian financial services industry highlight the conflicts of interest between those who provide financial advice (financial planners) and their clients. Disclosure is a potential governance tool to manage these conflicts of interest by reducing asymmetries in information. Yet, the efficacy of disclosure is questionable as scandals persist, so this paper aims to research the effectiveness of disclosure in financial planning. Design/methodology/approach This research used a qualitative approach involving the triangulation of data from parliamentary inquiries in financial services with data collected in semi-structured interviews with financial planning professionals. Findings The findings draw a clear portrayal of the disclosure requirements and illustrate how disclosure processes are onerous and complex. Starting with detangling the complex interactions between the beneficial role of disclosure in reducing information asymmetry and unethical behaviour and the detrimental effect of information overload, the authors then highlight effective disclosure techniques used by financial planners, including visualisation of material information. The study reveals that financial planners perceive their role as filtering information for clients and ensuring clients’ comprehension, due to the onerous disclosure requirements. Research limitations/implications The study is of interest to researchers, practitioners, policymakers and society as it implies that how disclosure occurs is as important as what information is disclosed. Those who wish to foster effective disclosure in the financial services industry need to consider the quantity, quality and process of disclosure. A limitation is the research focusses on financial planning practices and not client outcomes, which could be considered in future research. Originality/value The study adds to the understanding of how disclosure is used as a governance tool and how the quantity of information may impede the effectiveness of disclosure in the financial planning industry. In addition, the study identifies and elaborates on the influential factors and best practices for enhancing the disclosure effectiveness by financial planners.

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.

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)0.019
metaresearch head score (Gemma)0.092
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.092
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.003
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 head0.090
GPT teacher head0.416
Teacher spread0.326 · 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