Results 81 to 90 of about 6,959,986 (246)

SHARING OR HIDING: THIRD-PARTY OBSERVERS’ KNOWLEDGE-BASED BEHAVIORAL REACTIONS TO OBSERVED KNOWLEDGE HIDING (Study 2)

open access: yes, 2023
Social emotions could further lead to social behaviors toward the target of emotions because individuals typically use their social emotions as a starting point for their behavioral reactions in social contexts (Hareli & Parkinson, 2008).
Zhang Yucheng
core   +1 more source

High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions

open access: yesAdvanced Functional Materials, EarlyView.
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani   +8 more
wiley   +1 more source

Knowledge hiding as a conditional response to job burnout: a conservation of resources perspective

open access: yesCogent Business & Management
Knowledge hiding is commonly discussed as a workplace behavior associated with reduced collaboration and unfavorable work outcomes. In digital content industries, however, employees often work under persistent resource pressure, which may shape how ...
Payut Nakban, Kritsakorn Jiraphanumes
doaj   +1 more source

Knowledge Hiding and sharing with mobile social networking applications: an integrated model of antecedents and outcomes

open access: yes
Mobile social networking applications (MSNAs) can support but also frustrate knowledge sharing by strategically hiding knowledge. This study investigates why people share and hide knowledge using MSNAs and subsequent influences (sense of well-being; SWB).
Fang, Yu-hui
core   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

Ostrazismus & Knowledge Hiding

open access: yes, 2023
Reproducibility of empirical results is a key quality criterion for any credible research. This paper takes up this principle and presents a replication of the study by Bhatti et al. (2021) to analyse the role of efficacy needs and psychological stress on the relationship between workplace ostracism and knowledge hiding in the context of the Austrian ...
openaire   +1 more source

Evidence of the conditions affecting knowledge hiding among librarians in academic libraries

open access: yes
Purpose This study aims to identify and theorize the conditions affecting the formation of librarians’ knowledge-hiding behaviour in academic libraries.
Refoua, Shabnam   +4 more
core   +1 more source

An exploratory report on observed knowledge hiding in the workplace

open access: yes, 2022
Knowledge hiding is a common phenomenon in contemporary organizations. Can such hiding behavior be observed by third parties? We explored the frequency of observed knowledge hiding in the workplace as well as how third parties interpret this behavior ...
Weipeng, Lin, Yucheng Zhang, Jian Peng
core   +1 more source

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

open access: yesAdvanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek   +12 more
wiley   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall   +4 more
wiley   +1 more source

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