Results 221 to 230 of about 47,024 (285)

Digital Transformation on Green Operational Performance: Evidence From the E‐Waste Firm's Perspective

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Digital transformation (DT) is increasingly recognised as essential for improving environmental performance in process‐intensive and hazardous sectors; however, the mechanisms by which digitalisation translates into green operational performance (GOP) and environmental accountability remain insufficiently investigated, particularly in ...
Amila Kasun Sampath Udage Kankanamge   +2 more
wiley   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee   +3 more
wiley   +1 more source

Simultaneous Photoactivation of Copper and Ti‐Doped CeO2−x Enables Optimal Acceleration of the RWGS Reaction

open access: yesCarbon Energy, EarlyView.
A combination of visible light and thermal energy accelerates the CO formation rate up to 57 times compared to dark conditions using a 3Cu/CeTiO2−x catalyst. Kinetic analysis, as well as steady state and transient spectroscopy, was applied under photocatalytic conditions to analyze and disentangle the reaction channels under dark and illuminated ...
Miha Okorn   +4 more
wiley   +1 more source

Defect Suppression via Tailoring Functionalized Additives for Efficient and Stable CsPbI3 Perovskite Solar Cells

open access: yesCarbon Energy, EarlyView.
This study proposed a structure‐designed benzohydrazide derivative, namely 4‐methoxybenzohydrazide (MeOBH), as an additive to regulate crystallization, passivate defects, optimize energy‐level structure, and enhance phase stability of β‐CsPbI3 perovskite films.
Haiyan Zhao   +10 more
wiley   +1 more source

Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing

open access: yesCarbon Energy, EarlyView.
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu   +9 more
wiley   +1 more source

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