Results 91 to 100 of about 222 (211)

Leveraging AI to Capture Textual and Visual Elements: Insights for HRM Research and Practice

open access: yesHuman Resource Management Journal, EarlyView.
ABSTRACT This paper advances Human Resource Management (HRM) scholarship by introducing an accessible method to analyse of both visual and textual social media content in combination. Although HRM studies increasingly mobilise social media data, most approaches remain text‐centric, overlooking the HR‐relevant cues, embedded in images, that can inform ...
Yin Liang, Jeremy Aroles, Yulei Li
wiley   +1 more source

Firm Financial Performance: Disentangling the Corporate Gender Diversity as Driver of ESG Disclosure in EU Companies

open access: yesAccounting &Finance, EarlyView.
ABSTRACT This study investigates the relationship between gender diversity in senior corporate positions and environmental, social and governance (ESG) initiatives, alongside their impact on corporate financial performance across European Union companies.
Paolo Saona, Laura Muro
wiley   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

Theoretical aspects and simulation with the application of a new two parameter distribution. [PDF]

open access: yesSci Rep
Ghouar A   +8 more
europepmc   +1 more source

Calibrating Bayesian inference

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu   +2 more
wiley   +1 more source

Circles of Confidence for Multi‐Label Geometry Completion

open access: yesComputer Graphics Forum, EarlyView.
Abstract Inside–outside classification is widely used for geometry processing tasks such as surface reconstruction, geometry completion, and calculating signed distance fields. We introduce a new integral formulation of this problem, which assigns confidence scores that points are inside or outside, given incomplete boundary geometry.
Z. Wei   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy