Results 211 to 220 of about 88,565 (289)

A Meta‐Analysis of Antecedents of High‐Performance Work System Use: The Role of Firms’ Strategic and Institutional Environmental Forces

open access: yesPersonnel Psychology, Volume 79, Issue 2, Page 161-189, Summer 2026.
ABSTRACT Strategic human resource management (HRM) scholars have extensively examined the impact of a high‐performance work system (HPWS) on firm performance outcomes and the conditions that influence this relationship. However, the factors that affect how intensively a firm uses an HPWS remain less understood.
Dishi Hu   +5 more
wiley   +1 more source

Collective Attention in Virtual Teams: A Pathway for Mitigating Communication Delays

open access: yesPersonnel Psychology, Volume 79, Issue 2, Page 191-221, Summer 2026.
ABSTRACT Virtual work has become a defining feature of modern organizations, intensifying the need for strategies that support virtual team performance. Communication delays—prolonged intervals between sending and receiving messages—are one of the most persistent and consequential barriers to virtual team performance.
Dorothy Carter   +9 more
wiley   +1 more source

In Situ Characterisation of Hydrogels via Dynamic Interface Printing

open access: yesAdvanced Science, Volume 13, Issue 28, 18 May 2026.
ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler   +2 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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