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Record W4311322327 · doi:10.1016/j.crsust.2022.100197

Call for papers special issue: Current and future research in environmental sustainability: Role, responsibilities, and opportunities for the business sector

2022· paratext· en· W4311322327 on OpenAlexaff
Lára Jóhannsdóttir, Stefan Wendt, Þröstur Olaf Sigurjónsson, Ali Kharrazi, Mauricio Latapí

Bibliographic record

VenueCurrent Research in Environmental Sustainability · 2022
Typeparatext
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsMount Royal University
Fundersnot available
KeywordsSustainabilityCurrent (fluid)BusinessEngineering ethicsEnvironmental planningEnvironmental resource managementEngineeringEconomicsEnvironmental scienceEcology

Abstract

fetched live from OpenAlex

Call for papers special issue: Current and future research in environmental sustainability: Role, responsibilities, and opportunities for the business sector 1. Purpose and rationaleThe increasingly complex sustainability challenges of this era have impelled corporations to reevaluate their business models and relationships with the environment, emphasising their role and responsibilities in addressing such challenges, and utilising opportunities that may exist.Not only have investors and further stakeholders increasingly turned to businesses that address their impact on the environment but organisations have also found the strategic benefits in innovating and implementing efficient economic solutions to outstanding sustainability challenges.Towards this end, a growing number of companies are including concepts such as corporate social responsibility (CSR) or corporate sustainability (CS) and focusing on environmental, social and governance aspects (ESG) as critical components in their business strategies.This special issue of Current Research in Environmental Sustainability is designed to solicit a wide variety of themes in the context of environmental sustainability and the role, responsibilities, and opportunities for the business sector.An ecological perspective and a focus on climate change are often considered to be the main focus of environmental sustainability and corporate environmental responsibility.This special issue intends to capture the ecological and climate focus of environmental sustainability.Moreover, it also intends to consider the links between environmental and social aspects.Environmental changes, such as climate change or marine, land and air pollution, typically also have huge implications at the social and societal levels.Social and societal effects relate to, for example, health and well-being, food quality, and social harmony.When referring to CSR, we therefore also consider the environmental focus to be of the utmost importance. Types of contributions solicitedFor this Special Issue, we invite academic researchers, business practitioners, and policymakers to share new knowledge, insights, experiences, and trends concerning issues related to the behaviour of the corporation around environmental sustainability.For the Special issue, original research, review articles, policy briefs, and opinion articles are welcome.Research Articles should report the results of original research, e.g., qualitative, quantitative, or mixed-method research.The material must not have been previously published or be under review elsewhere.Research articles are usually up to 8,000 words, even though articles up to 10,000 words may be considered if justified by the type of analysis.Review Articles should provide a critical overview of the field, with a strong focus on current challenges and bottlenecks to future advances.Make sure to adopt a systemic viewpoint where possible and delineate the exact scope of your review and depth of coverage.The review should follow the PRISMA guidelines (see: www.prisma-statement.org).For review articles, we recommend 6,000-10,000 words but no longer than 12,000 words.Policy Briefs should provide a comprehensive overview of current topics related to policy, regulations, and guidelines.Policy briefs should be short: no longer than 3,000 words, including main body text, table and figure captions but not including references, and reflections by the author(s).Opinion Articles should be no longer than 3,000 words, including main body text, table and figure captions but not including references, and provide reflections by the author(s).This special issue is intended to challenge scholars to elaborate, but not limit themselves, on the following themes: Theme 1: Environmental sustainability and strategic CSR 2.2. Theme 2: Case studies of CSR in various industriesThe notions associated with CSR have been used in the business

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)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.544
Threshold uncertainty score0.651

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.004
Science and technology studies0.0050.002
Scholarly communication0.0210.010
Open science0.0030.005
Research integrity0.0160.008
Insufficient payload (model declined to judge)0.5440.431

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 head0.071
GPT teacher head0.342
Teacher spread0.271 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations2
Published2022
Admission routes1
Has abstractyes

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