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Notice bibliographique
Résumé
Sustainable and resilient extractive and circular economies under uncertainty" Increased uncertainty in the global economy and business environment characterised by rapid demand fluctuations and technological breakthroughs, digitization and global disruptions, creates the need for systemic transformation of extractive and construction industries.Extractive industries such as the mining and oil and gas (O&G) sectors, and the construction industry that includes both construction and demolition (C&D) sectors have faced systemic transformative changes during recent decades.These industries now respond to increasing calls for embracing sustainability and resilience practices by dealing with the unique complexity of mining, O&G and C&D projects and by developing resilient and digitally integrated value chains particularly with recent developments of the Industry 4.0.In addition, the recent COVID-19 pandemic has demonstrated the vulnerabilities of globally connected supply chains.This has created a pressing need to develop novel organisational strategies and policy frameworks to ensure that business operations are resilient to unforeseen disruptions and to secure uninterrupted service and supply of (critical) materials and products.Prior research has been concerned with the application of emergent technologies to improve effectiveness and sustainability of project delivery systems, and the logistics of extractive operations and construction sites.The extant research has also discussed various facets of circular economies, closed-loop supply chains and reverse logistics solutions, supply chain digital transformation and resilience.Recent global supply disruptions, which will possibly become a norm in the future, calls for novel managerial approaches, policy and regulatory frameworks, decision-support tools and technological innovations that collectively enable a critical step towards sustainable and resilient extractive and construction industries and enhance value creation for all industry stakeholders.The special issue addresses this challenge by exploring how extractive and C&D sectors manage the emerging trends and prepare to face the uncertainty through changing management paradigms and technological innovations.It aims to facilitate discussion and attract relevant research to extend the boundaries of project management and decision-making theory, policy and practice as applied to the extractive and construction sectors.Four papers of this special issue focus on the challenges faced by the C&D sector.For example, Abruzzini and Abrishami discuss the limitations of the decision-making process at the end of a building's lifecycle, particularly related to the limited data available from the building's history, the difficulty in assessing the condition of a building, and the variety of stakeholders' needs to be satisfied.Authors argue that building information modelling (BIM) application can solve this problem.Kineber et al. examine the influence of value management (VM) and critical success factors (CSFs) on the implementation of VM activities in Egypt construction projects.The influence of VM CSFs on VM implementation is established, suggesting moderate effects and strong relationship between VM implementation activities and its CSFs.Prasad et al. contribute to finding some alternative cementitious material for concrete that can replace ordinary Portland cement to overcome CO 2 emissions due to the utilization of cement in the construction industry.An attempt has been made to utilize a waste material (high calcium fly ash) from thermal power plants and M-sand to produce a geo polymer concrete.This research analyses the type of binder material, molarity of activator solution and curing condition and contributes to the reduction of the largest CO 2 footprint of a single material.Onturk et al. analyse the recycling of waste
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 découle