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Record W4317698128 · doi:10.1108/jfra-01-2022-0029

Sustainability reporting – a systematic review of various dimensions, theoretical and methodological underpinnings

2023· review· en· W4317698128 on OpenAlexaff
Taslima Nasreen, Ron Baker, Davar Rezania

Bibliographic record

VenueJournal of financial reporting & accounting · 2023
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOriginalitySustainabilityStakeholder engagementEngineering ethicsStakeholderLegitimacySystematic reviewQualitative researchValue (mathematics)Sustainability reportingIndigenousEmpirical researchSociologyManagement sciencePublic relationsCorporate social responsibilityPolitical scienceSocial scienceEpistemologyComputer scienceEngineeringMEDLINEEcology

Abstract

fetched live from OpenAlex

Purpose This review aims to summarize the extent to which sustainability dimensions are covered in the selected qualitative literature, the theoretical and ontological underpinnings that have informed sustainability research and the qualitative methodologies used in that literature. Design/methodology/approach This study uses a systematic review to examine prior empirical studies in sustainability reporting between 2000 and 2021. Findings This review contributes to sustainability research by identifying unexplored and underexplored areas for future studies, such as Indigenous people’s rights, employee health and safety practice, product responsibility, gender and leadership diversity. Institutional and stakeholder theories are widely used in the selected literature, whereas moral legitimacy remains underexplored. The authors suggest that ethnographic and historical research will increase the richness of academic research findings on sustainability reporting. Research limitations/implications This review is limited to qualitative studies only because its richness allows researchers to apply various methodological and theoretical approaches to understand engagement in sustainability reporting practice. Originality/value This review follows a novel approach of bringing the selected studies’ scopes, theories and methodologies together. This approach permits researchers to formulate a research question coherently using a logical framework for a research problem.

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)0.107
metaresearch head score (Gemma)0.782
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1070.782
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.003
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.110
GPT teacher head0.401
Teacher spread0.291 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations25
Published2023
Admission routes1
Has abstractyes

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