Results 111 to 120 of about 6,126 (292)
Optimising Human–AI Decision Performance: A Trust and Capability Framework for Knowledge Management
Knowledge and Process Management, EarlyView.ABSTRACT Organisations struggle to optimise human–AI collaboration in knowledge‐intensive decision‐making. This paper proposes the Trust–Complementarity Model of Collective Intelligence (TCM‐CI), explaining how calibrated trust and complementary capability utilisation drive superior organisational performance.
Eduardo Carlos Dittmar, Martin Sposato
wiley +1 more source
Media Ekonomi dan Manajemen, 2018 This study purposed to identify overconfidence behavior investor in Indonesia Stock Exchange from 2014 until 2016. Overconfidence is a psychological bias that can cause investors to excessive trading as the effect of the belief that they have specific ...
Indri Hartiyaningsih, Yanuar Rachmansyah
doaj +1 more source
Entrepreneurial success and failure: Confidence and fallible judgement [PDF]
Excess entry – or the high failure rate of market-entry decisions – is often attributed to overconfidence exhibited by entreprene urs. We show analytically that whereas excess entry is an inevitable consequence of imperfect assessments of entrepreneurial
Robin Hogarth, Natalia Karelaia
core
Limnology and Oceanography: Methods, EarlyView.Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley +1 more source
PENGARUH OVERCONFIDENCE DAN AVAILABILITY BIAS TERHADAP KEPUTUSAN INVESTASI
Keputusan investasi saham yang tepat dapat memberikan keuntungan yang diharapkan. Penelitian ini bertujuan untuk mengetahui pengaruh overconfidence dan availability bias terhadap keputusan investasi oleh investor individu di kota Medan.
Fachrudin, Khaira Rizfia
core +1 more source
PENGARUH LITERASI KEUANGAN, OVERCONFIDENCE BIAS, HERDING BIAS, DAN LOSS AVERSION BIAS TERHADAP KEPUTUSAN INVESTASI [PDF]
, 2023 Investment decisions, driven by rational and irrational attitudes in capital allocation, are assessed through financial literacy and behavioral finance biases. Behavioral finance includes overconfidence, herding, and loss aversion biases.
Prayudi, Rafandito Mahendra Nugraha
core
Are Academic Executives Greener? Evidence From China
Managerial and Decision Economics, EarlyView.ABSTRACT This paper investigates the impact of executives with academic backgrounds (“academic executives”) on corporate green patents. We find that both the presence of academic executives and the proportion of academic executives have a significantly positive impact on firms' green patents, and this effect is positively associated with the firm's ...
Kai Xing +4 more
wiley +1 more source
Medicine Advances, EarlyView.We developed the Glioma Multiparametric MRI Analysis System (GMMAS), a fully automated platform that leverages multi‐task semi‐supervised learning to diagnose gliomas from multiparametric MRI images. It provides accurate tumor segmentation, subtyping, and prognostic predictions, offering a user‐friendly tool for clinicians to enhance diagnosis and ...
Yihao Liu +9 more
wiley +1 more source
Oikos, EarlyView.Misinterpretation of p‐values, coupled with insufficient consideration of the prior plausibility of ecological hypotheses, leads to overconfident and often unreliable inference in ecological research. To address this issue, we present a methodological framework for p‐value calibration that reinterprets conventional p‐values through minimum Bayes ...
Rafael Dettogni Guariento +2 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.We demonstrate that the spread–error relationship, rank histogram, and continuous rank probability score reliability component can falsely indicate reliability under climatological variance biases, yielding ensemble members that are overly or insufficiently extreme.
Arlan Dirkson, Mark Buehner
wiley +1 more source