ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source
The quantile domain volatility shock transmission between carbon emission trading system and European emerging stock markets: Practical implications for portfolio optimization. [PDF]
Aljughaiman AA +3 more
europepmc +1 more source
ABSTRACT Environmental entrepreneurship and eco‐innovation, although cornerstones in the transition to a sustainable world, form a research nexus that remains largely understudied. We draw on the theory of complexity and the notion of cultural, temporal, and relational complexities to explain the process of eco‐innovation among environmental small ...
Georgios Outsios, Stefan Chichevaliev
wiley +1 more source
Application of regularized covariance matrices in logistic regression and portfolio optimization. [PDF]
Sun F, Huang X.
europepmc +1 more source
ABSTRACT Using a balanced panel of 93 Korean firms over 2014–2023, this study examines how the interaction between green innovation and asset replacement strategies is associated with changes in carbon intensity over time. Distinguishing between tangible and intangible asset pathways, we identify two contrasting temporal patterns. When green innovation
Bong‐Seop Kim, Suk Hyun
wiley +1 more source
A Monte Carlo-Based Framework for Two-Stage Stochastic Programming: Application to Bond Portfolio Optimization. [PDF]
Albaqami H, Mrad M, Gharbi A, Subasi MM.
europepmc +1 more source
Beyond Carbon: Corporate Environmental Performance Across Multiple Domains
ABSTRACT We examine corporate environmental performance (CEP) as a multidimensional system rather than isolated outcomes. Combining institutional and behavioral perspectives, we analyze four domains—CO2 emissions, waste, energy, and water—using S&P 500 firms that disclosed data on all four domains (2006–2024).
Rei Uchida, Murali Chari
wiley +1 more source
Scenario-based portfolio optimization via bootstrapping and machine learning methods: Theory development and empirical evidence from the Tehran Stock Market. [PDF]
Amini M, Javadi S, Soleimani-Damaneh M.
europepmc +1 more source
Agentic AI and Circular Procurement Performance: An Empirical Study
ABSTRACT Organizations that practice circular procurement in this rapidly changing world face many uncertainties. However, emerging digital technologies, such as agentic AI, can help manage resources and improve responsiveness to better serve both internal and external customers.
Surajit Bag +3 more
wiley +1 more source
Nonlinear Shrinkage Estimation of Higher-Order Moments for Portfolio Optimization Under Uncertainty in Complex Financial Systems. [PDF]
Lu W, Tian Z.
europepmc +1 more source

