Results 41 to 50 of about 60,144 (318)

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

On the Prospects for African Philosophy in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT This paper grapples with the situation of people of African descent in Australia by working through the constitution of the body of academic philosophy in the country. It contends with the parochialism of the Australian philosophical community and the prospects for the cultivation of greater pluralism. Taking African philosophy as one possible
Bryan Mukandi
wiley   +1 more source

Too Old to Bother: CEO Age and Corporate Stakeholder Engagement

Business Strategy and the Environment, EarlyView.
ABSTRACT We examine how CEO age, a key demographic attribute, affects corporate stakeholder engagement. Drawing on Upper Echelons Theory, we argue that older CEOs are less responsive to stakeholder concerns because of heightened conservatism, shorter time horizons, and greater risk aversion.
Mehwish Yousaf, Pascal Nguyen
wiley   +1 more source

Reputational Risk: An Investigation Into How Environmental Failures Drive Stock Price Crashes

Business Strategy and the Environment, EarlyView.
ABSTRACT The study examines the relationship between stock price crashes and firm environment reputational risk. Using a large sample of US listed firms, covering a time span from 2007 to 2021, we test the effect of environmental reputation risk on three measures for the stock price crash risk (NEGCSK, DRUV, and CRASH).
Man Dang, Premkanth Puwanenthiren, Edward Jones, Hoang Long Phan, Abdelhafid Benamraoui   +4 more
wiley   +1 more source

Demand Forecast Investment by Overconfident Retailer in Supply Chains

Mathematics
This paper investigates a supply chain setting in which a retailer exhibiting overconfidence invests in demand forecasting. Specifically, the retailer overestimates both the precision of the forecasting signal and the productivity of the investment.
Jialu Li
doaj   +1 more source

AI Hallucinations in Tourism: How Errors Impact Consumer Trust and Recommendation Acceptance

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI) is quickly transforming travel planning; however, its outputs can include hallucinations, which are plausible yet false statements that can undermine user judgement. Eliminating hallucinations in GenAI technology is currently impossible.
Francisco Rejón‐Guardia, Sebastian Molinillo, Rafael Anaya‐Sánchez   +2 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

Self-confidence, overconfidence and prenatal testosterone exposure: evidence from the lab [PDF]

, 2018
This paper examines whether foetal testosterone exposure predicts the extent of confidence and over-confidence in own absolute ability in adulthood. To study this question, we elicited incentive-compatible measures of confidence and over-confidence in ...
Dalton, Patricio S., Ghosal, Sayantan
core   +3 more sources

Artificial Intelligence in Eating Disorder Treatment: A Qualitative Analysis of Clinical Opportunities, Barriers, and Ethical Considerations From Multi‐Disciplinary Focus Groups

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective This study explored eating disorder and Artificial Intelligence (AI) professionals' perspectives on how AI might support eating disorder treatment. Successful implementation requires insight into implementation partners' perspectives.
J. Maas, S. Franssen, M. Petkovic, S. Cardona Cano, A. E. Dingemans, A. M. van Oosterzee, M. C. T. Slof‐Op ’t Landt, E. Talavera Martinez, C. M. J. M. Vreeswijk, M. Simeunovic‐Ostojic   +9 more
wiley   +1 more source