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Record W7036205680

An Assessment of Auditors' Civil Liability towards Shareholders in Comparative Perspective with Special Reference to Islamic and Conventional Insurance Principles and Practices

2021· dissertation· en· W7036205680 on OpenAlexfundno aff

Bibliographic record

VenueArrow@dit (Dublin Institute of Technology) · 2021
Typedissertation
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
FundersCanadian Imperial Bank of Commerce
KeywordsDamagesShareholderTortLegal liabilityCorporationLiabilityIslamShariaAudit
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores auditor civil liability towards the company and third parties in Saudi Arabia and selected common law countries. In Chapter One, the researcher outlines the methodology adopted to conduct this study using descriptive analysis as well as both doctrinal and comparative approaches. Chapter Two will present the nature of auditor civil liability towards companies and third parties in Saudi Arabia based on Islamic law of tort and modern legislation. Chapter Two also argues that as of 2020 the Saudi judiciary has struggled to cope with issues raised in common law countries due to the complexity of existing Shariah principles and regulation, the lack of understanding among judges and legal practitioners of shareholders’ right to be indemnified that may lead to a weak litigation culture. However, the Chapter identifies a few legal provisions and established Islamic principles that would entitle shareholders to be indemnified on behalf of their corporation through personal and class actions if the company refuses to file the suit for their benefit. Despite the fact that there is no specific article showing how a court can determine the proper damages suffered by shareholders, the researcher has designed mathematical formulae to assist Saudi judges in this respect considering Saudi legal regulations and Islamic principles. A better understanding on how Islamic principles and legal provisions operate, will hopefully assist and benefit judges, practitioners and litigants. This thesis argues in Chapters Three and Four that common law principles with respect to auditors’ civil liability to third parties, and more particularly to shareholders, are not satisfactory from the Saudi perspective. Chapter Three is focused on theories of auditor liability towards third parties, with a focus on the United States of America (US), perhaps the first country with a clear precedent in this respect. Chapter Four then looks at England where two contrasting cases with respect to the liability of the auditor, and some other related cases, are examined. Chapter Four also investigates auditors’ civil liability towards third parties in other common law jurisdictions that follow the approaches adopted in the US or in England either completely or partially. Since, in practice, the availability or non-availability of insurance to indemnify auditors against liability to shareholders and others has a significant impact on the topic under review in this thesis, Chapter Five then goes on to discuss the nature of Takaful - “an Islamic form of insurance” - and compares it to from conventional (western) insurance, and as well as the challenges that the Islamic model faces in Muslim majority and Muslim minority jurisdictions. Chapter Six develops that discussion by examining conventional liability products and exposing their limitations in providing appropriate protection and indemnification for those insured. Chapter Seven, draws together the key arguments, reasons and principles developed by common-law judges in the context of auditor liability, and explores a recent case from Saudi Arabia. The chapter also develops the discussion of the potential for insurance to extend to auditor liability by comparing and contrasting actual and existing applications of Takaful and conventional insurance in the area of professional liability. Chapter Eight addresses the research questions posed in Chapter One and concludes with final remarks and observations on the implications of the research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.344
Teacher spread0.285 · 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.

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
Published2021
Admission routes1
Has abstractyes

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