Mechanical and durability assessment of marble dust-fiber concrete supported by ML prediction. [PDF]
Sai AN +5 more
europepmc +1 more source
Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective
ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag +3 more
wiley +1 more source
Digital twin-based machine learning framework for predicting nonlinear seismic response of reinforced concrete shear walls using analytical data. [PDF]
Kuria KK, Kegyes-Brassai O.
europepmc +1 more source
ABSTRACT As firms increasingly incorporate environmental, social, and governance (ESG) concerns into their strategic agendas, stakeholder legitimacy—an audience‐conferred judgment of organizational appropriateness—has become pivotal. We theorize legitimacy as expanding a hybrid response portfolio in which firms may pursue substantive change (business ...
Min‐Jae Lee +3 more
wiley +1 more source
Modeling mechanical properties of rubberized concrete using gene expression programming (GEP) and random forest: a comparative study. [PDF]
Sheraz M +7 more
europepmc +1 more source
DETERMINING THE STRENGTH OF GLASS FIBER REINFORCED CONCRETE BEAMS
Ismoiljon Egamberdiyev +1 more
openaire +1 more source
Numerical Simulation of the Post-Tensioned Beams Behaviour Under Impulse Forces Loading. [PDF]
Jancy A, Stolarski A.
europepmc +1 more source
Experimental Investigation on Factors Influencing the Early-Age Strength of Geopolymer Paste, Mortar, and Concrete. [PDF]
Yang S +5 more
europepmc +1 more source
Data-driven optimisation of sustainable high-performance concrete incorporating SCMs, biomass ash, and graphene nanoplatelets. [PDF]
Anand P +4 more
europepmc +1 more source

