Results 71 to 80 of about 942,691 (276)

Educational pathways and outcomes for care‐experienced children: A 16‐year longitudinal study

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Children who are removed from their birth families during childhood—termed care‐experienced—can be at risk for lower educational attainment and poorer school experiences, often linked to deprivation and behavioural factors. However, research often uses aggregated measures that obscure the complexities of care (e.g.
Emily Lowthian   +9 more
wiley   +1 more source

Understanding out‐of‐field teacher self‐efficacy beliefs: A person‐centred approach

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Teaching out‐of‐field (OOF) has been a widespread global phenomenon and a cause of concern for school leaders and policymakers due to the potential impact it has on teaching quality and student learning. However, research on how the nature of OOF teaching impacts various teachers' psychological attributes such as teacher self‐efficacy (TSE ...
Hoi Vo   +5 more
wiley   +1 more source

The Core of Bayesian Persuasion

open access: yes, 2023
An analyst observes the frequency with which an agent takes actions, but not the frequency with which she takes actions conditional on a payoff relevant state. In this setting, we ask when the analyst can rationalize the agent's choices as the outcome of
Eilat, Ran, Doval, Laura
core  

Sustainability Challenges to the Steel Industry in a Developing Country: Sanctions and Security Issues at the Forefront

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad   +2 more
wiley   +1 more source

Persuasive Contrastive Explanations for Bayesian Networks

open access: yes, 2021
Explanation in Artificial Intelligence is often focused on providing reasons for why a model under consideration and its outcome are correct. Recently, research in explainable machine learning has initiated a shift in focus on including so-called counterfactual explanations.
Tara Koopman, Silja Renooij
openaire   +3 more sources

Back to Nature or Technology to the Rescue? Climate Managers' Preferences for Investment in Carbon Dioxide Removal

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili   +3 more
wiley   +1 more source

Limiting Sender's Information in Bayesian Persuasion [PDF]

open access: yesSSRN Electronic Journal, 2018
This paper studies how the outcome of Bayesian persuasion depends on a sender’s information. I study a game in which, prior to the sender’s information disclosure, the designer can restrict the most informative signal that the sender can generate.
openaire   +2 more sources

Bayesian persuasion with costly information acquisition

open access: yes, 2018
A sender who chooses a signal to reveal to a receiver can often influence the receiver’s subsequent actions. Is persuasion more difficult when the receiver has her own sources of information?
Matysková, Ludmila, Ludmila Matyskovv
core   +1 more source

Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi   +3 more
wiley   +1 more source

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