Legitimacy and Employment Relations Research: A Review and Research Agenda
ABSTRACT This article provides a comprehensive review of existing research and develops an agenda for analyzing legitimacy in employment relations. It argues that legitimacy should be understood as a dynamic and contested process through which actors, institutions and policy ideas are legitimated, delegitimated and reworked.
Andy Hodder +4 more
wiley +1 more source
ABSTRACT Pregnancy loss (PL) remains a major limitation to reproductive efficiency in livestock, with a substantial proportion originating during early embryo development, particularly between blastocyst hatching and implantation. This developmental window encompasses complex processes of lineage differentiation and morphogenesis. Accumulating evidence
Alexia Siegmund‐Sabater +7 more
wiley +1 more source
Abstract The Southern Ocean meridional overturning circulation (MOC) play a crucial role in the global ocean water mass and heat redistribution, greatly modulating the earth climate variation. Although mesoscale eddies are known as an important component of the residual‐mean MOC that typically oppose wind‐driven Eulerian overturning, the contribution ...
Jinchao Zhang +6 more
wiley +1 more source
Intelligent neural network-based framework for Maxwell nanofluid flow with Soret-Dufour coupling and nonlinear thermal radiation. [PDF]
Ishaq M +6 more
europepmc +1 more source
Recent developments in chemical reactive flow of CNTs-hybrid nanomaterial with Soret-Dufour effects using Levenberg-Marquardt technique. [PDF]
Abbas M +6 more
europepmc +1 more source
Intelligent predictive neural network analysis on microbes in bioconvection flow of hybrid nanoliquid under diffusion thermo and thermo diffusion effects. [PDF]
Kanwal H +5 more
europepmc +1 more source
Semi-analytical analysis of transport mechanism in hybrid nanomaterial dynamics with oxytactic microbes using Xue model. [PDF]
Abbas M +5 more
europepmc +1 more source
Xue model exploration for oxytactic microbes in radiative MHD hybrid nanoliquid using machine learning technique. [PDF]
Shaaban SM +6 more
europepmc +1 more source

