Results 201 to 210 of about 2,220,247 (238)
ABSTRACT Implementing digital technologies is touted as the next big step for the firms aiming to improve sustainability in their supply chains. These technologies are often credited with the potential to improve transparency and achieve sustainability.
Amna Farrukh, Aqeel Ahmed, Sadaat Yawar
wiley +1 more source
Metaceramic enables ultrahigh-temperature record rectification and programmable 3D thermal control. [PDF]
Su Y +10 more
europepmc +1 more source
ABSTRACT This paper investigates whether firms' sustainability actions aimed at serving multiple stakeholders lead to similar or differing sustainability outcomes depending on the manager's stakeholder focus. It proposes a conceptual framework distinguishing between primary and secondary stakeholders, wherein managers can face conflicts of interest ...
Felix B. Fischer +2 more
wiley +1 more source
Scalable high-temperature superconducting diodes enabled by intrinsic Josephson junctions. [PDF]
Wei Z +15 more
europepmc +1 more source
ABSTRACT Predicting corporate environmental violations remains a key challenge in practice and in environmental governance research. However, existing studies have largely focused on ex post associations between stakeholder pressures and realized environmental violations, offering limited insight into whether stakeholder pressures can be used ex ante ...
Xiaolan Chen +4 more
wiley +1 more source
Dual Janus foam for directional thermal management. [PDF]
Jiang C, He X, Zheng X, Liang F.
europepmc +1 more source
ABSTRACT This study examines whether stronger competition supports or constrains corporate environmental responsibility, using China's 2008 Anti‐Monopoly Law as a quasi‐natural experiment. Applying a difference‐in‐differences design to Chinese A‐share listed firms in heavily polluting industries from 2006 to 2019, we find that firms with high ...
Wen Li +4 more
wiley +1 more source
An electrically conductive dinuclear double helicate Al(iii) complex for the fabrication of a Schottky diode. [PDF]
Raja MH +13 more
europepmc +1 more source
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang +5 more
wiley +1 more source

