Results 231 to 240 of about 14,829 (309)

Stock Market Reactions to Climate Risk Events: A Systematic Literature Review and Research Agenda

Business Strategy and the Environment, EarlyView.
ABSTRACT As global warming intensifies, climate risks' impact on firm value has become a critical concern for academia and investors. This systematic literature review analyzes 50 event studies in this research field, classifying them by climate risk type.
Mario Schuster, Rainer Lueg
wiley   +1 more source

Ancient architecture image classification with progressive stacking pseudoinverse learning. [PDF]

Sci Rep
Cai Z, Sun X, Zhang S, Zhao Z, Wu P.
europepmc   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

Metagenomic next-generation sequencing: a game-changer in the diagnosis of unique intraocular infections. [PDF]

Eye (Lond)
Habot-Wilner Z, Ostrovsky M, Zur D, Schwartz S, Hagin D, Gadoth A, Ben-Ami R, Paran Y, Goldshmidt H, Slutzkin M, Adler A, Levytskyi K.   +11 more
europepmc   +1 more source

Barriers to the Adoption of Circular Economy Business Models in the Indian Textile Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT The Indian textile industry has significant negative impacts on the environment. This industry needs to adopt a circular economy approach to become more sustainable; however, progress on this has been limited. In this study, we report on the barriers to adoption of Circular Economy Business Models (CEBMs) in the Indian textile industry.
Himanshu Chandra, Jerry Anthony, Aradhna Malik   +2 more
wiley   +1 more source

HECM-Plus: Hyper-Entropy Enhanced Cloud Models for Uncertainty-Aware Design Evaluation in Multi-Expert Decision Systems. [PDF]

Entropy (Basel)
Pu J, Liu Z.
europepmc   +1 more source

Fueling Tomorrow: Scenario Planning for the Future of Gas Stations

Business Strategy and the Environment, EarlyView.
ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa, Fabiano Armellini, Jean‐Marc Robert   +2 more
wiley   +1 more source

Integrated Symbiotic Pleiotropy: Long Non-Coding RNAs and Disordered Proteins Interweaving the Functional Layers of the Eukaryotic Cell. [PDF]

Int J Mol Sci
Daskalova E, Lee JS, Zahmanova G, Minkov I.   +3 more
europepmc   +1 more source

Achieving Carbon Neutrality: Strategic Pathways to Sustainability and Net Zero in Manufacturing Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Reaching global net‐zero targets has become an urgent priority as businesses and nations face increasing pressure to reduce greenhouse gas emissions. Achieving carbon neutrality in manufacturing supply chains requires comprehensive systemic changes across business processes.
Vimal K. E. K., Sivakumar K., Jayakrishna Kandasamy, Umesh Kumar, Anil Kumar, Ashutosh Samadhiya   +5 more
wiley   +1 more source

The Role of Supply Chain Capabilities in Linking Circular Economy Practices and Supply Chain Resilience

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how circular economy (CE) practices relate to supply chain resilience (SCRES), focusing on the capability‐based mechanisms through which CE strategies may influence resilience outcomes. Drawing on survey data from 125 Italian firms engaged in CE initiatives, we employ partial least squares structural equation modelling (PLS‐
Roberta Pellegrino, Barbara Gaudenzi, Luca Fraccascia, Andrea Genovese, Luigi Jesus Basile   +4 more
wiley   +1 more source