Call for papers special issue: Current and future research in environmental sustainability: Role, responsibilities, and opportunities for the business sector
Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,021 | 0,010 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,016 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,544 | 0,431 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».