Results 171 to 180 of about 195,576 (310)
Investor Perception of ESG in Earnings Calls
ABSTRACT This study examines how the communicator's role and the framing of ESG statements affect investor capital allocation in the context of earnings calls. Based on a virtual asset market experiment, the analysis identifies that the assurance and reinforcement of ESG messages have a positive effect of up to 8% on capital allocation, with especially
Felix Bachner
wiley +1 more source
Epistemic humility for physicians and scientists. [PDF]
Celi LA +4 more
europepmc +1 more source
ABSTRACT This study addresses a significant research gap in the literature by systematically reviewing and synthesizing the interplay between social dynamics, environmental changes, and organizational innovation. Although prior research has explored these dimensions in isolation, the integrative framework remains lacking.
Gagan Deep Sharma +4 more
wiley +1 more source
Bayesian deep learning for probabilistic aquifer vulnerability and uncertainty prediction. [PDF]
Mengistu TD, Kim MG, Chung IM, Chang SW.
europepmc +1 more source
ABSTRACT Despite growing research on explicating travelers' decision‐making processes regarding greener travel options, there remains potential for exploring nuances of different factors and mechanisms that may encourage higher green travel. Grounded in the propositions of the push–pull–mooring framework, our study attempts to explicate whether eco ...
Chuhong Wang +3 more
wiley +1 more source
The Role of Gaze in Shaping Forms of Reflective Practice: A Legitimation Code Theory Analysis of Clinical Supervision in Danish Primary Care. [PDF]
Hindhede AL, Hald HH, Andersen C.
europepmc +1 more source
Future reproducibility across epistemic contexts: Report on future studies/backcasting outcomes
Report synthesising outcomes of Task 4.1 (Future studies to identify priorities from the stakeholder community to predict future of reproducibility and identify actionable steps)
openaire +1 more source
ABSTRACT This pilot study compares offender risk assessments conducted by human experts and advanced large language models (LLMs) within the HCR‐20V3 framework. Both groups evaluated a series of synthetic forensic case vignettes designed to simulate realistic clinical conditions. Quantitative results indicate that AI models consistently assigned higher
Shai Farber
wiley +1 more source

