Results 161 to 170 of about 329,967 (359)
ABSTRACT This study examines the role of managerial ability in driving environmental performance and overall environmental, social, and governance (ESG) ratings in the context of the European Union sustainability reporting regulations. Using a sample of 7242 firm‐year observations over the period 2015–2023, our results indicate a structural change in ...
Mihaela Ionașcu +2 more
wiley +1 more source
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez +3 more
wiley +1 more source
Indefinite Linear-Quadratic Optimal Control Problems of Backward Stochastic Differential Equations with Partial Information [PDF]
Jialong Li, Zhiyong Yu, Wen Long Yue
openalex +1 more source
ABSTRACT This study investigates the way sustainable innovation, conceptualized as a second‐order construct integrating sustainable orientation and innovation culture, impacts triple bottom line (TBL) performance. It also examines the mediating roles of product, process, organizational, and marketing innovations.
Nuno Fernandes Crespo +1 more
wiley +1 more source
A Linear-Quadratic Optimal Control Problem for Mean-Field Stochastic Differential Equations [PDF]
Jiongmin Yong
openalex +1 more source
This work applies multi‐objective optimization to investigate trade‐offs between different objectives in syngas production with solid‐oxide cell co‐electrolysis. Two system designs are investigated. By systematically exploring tradeoffs between different objectives, insights, and comparisons of the operation of these designs are achieved.
Gbenga Jerome +6 more
wiley +1 more source
Data‐driven policy iteration algorithm for continuous‐time stochastic linear‐quadratic optimal control problems [PDF]
Heng Zhang, Na Li
openalex +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Reinforcement learning-based optimal control for stochastic opinion dynamics. [PDF]
Chen Y, Gao H, Mazalov VV, Liu Y.
europepmc +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source

