We propose a multilevel theoretical framework explaining how organizational learning and learning failures shape organizational trustworthiness and, in turn, stakeholder trust. We argue that sustaining an organizational capacity for trustworthiness requires learning from experience, deliberate (non-experiential) learning, and dynamic capabilities. Together, they help address blind spots, biases, and defense mechanisms that can cause daily routines to drift and lead to unethical conduct and trust violations. Further, we explicate how characteristics of the external and organizational context influence what organizations learn and the evolution of organizational trustworthiness. The case of child sexual abuse in the Catholic Church serves as an empirical illustration of our theoretical model. It highlights how impediments to organizational learning and deficient dynamic capabilities manifest in practice. We conclude by articulating how our theory can elucidate the relationship between organizational learning and trustworthiness in business organizations.
Integrating epitaxial thin films of ferroelectric PbTiO3 and paraelectric SrTiO3 into artificially layered periodic superlattices provides a unique platform for tuning strain, depolarization, and interfacial/surface energies, thereby accessing a rich phase diagram of topological polar structures (skyrmions, vortices, merons, or sinusoidal waves) and superstructures (polar supercrystals). Here we show that the 3D arrangement of polar vortices in a supercrystal suppresses thermal conductivity (k) of PTO/STO superlattices (SLs). The temperature dependence of k reflects the evolution of the polar superstructure, as determined by X-ray diffraction and transmission electron microscopy. The comparison with other SLs suggests that the 3D arrangement is crucial for controlling thermal conductivity beyond the usual interfacial scattering. Moreover, we observed an unexpected reduction in thermal conductivity with increasing superlattice thickness, a phenomenon reminiscent of phonon-wave Anderson localization. Our results show that complex polar superstructures can be useful active elements for modulating heat transport in technologies where control over heat dissipation is critical.
This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for multivariate data; (iv) quantile panel models for longitudinal data; and (v) quantile factor‐augmented models for information compression in data‐rich environments. Each section outlines theoretical foundations and developments, followed by representative empirical applications. Finally, the survey highlights open gaps in quantile modelling. By studying distributional dynamics beyond averages, quantile methods provide policymakers and regulators with tools to design interventions that are robust to risks and effective across the entire spectrum of possible outcomes.
The direct catalytic synthesis of trans (E) alkenes from internal alkynes remains a challenge in organic synthesis, particularly for alkyl alkenes where the double bond can easily migrate by skeletal isomerization (alkene walking) under metal–catalyzed reaction conditions. Here we show that parts–per–million (ppm) of PdCl2, the simplest Pd salt in the market, or even the solid Pd/C, catalyze the direct transformation of long–linear chain internal alkyl alkynes into the corresponding trans (E) alkenes, after cis (Z) semi–hydrogenation and in–situ Z/E isomerization reactions, with just minor skeletal isomerization (< 10
We study experimentally the impact of the additive fabrication method on the magnetic properties of Fe^+-implanted Pd square artificial spin ice lattices. Our findings show that the lattices exhibit a higher ordering temperature than their continuous film counterparts. This behavior is attributed to the additive fabrication process, which induces an inhomogeneous Fe concentration within the lattice building blocks. Moreover, the implantation process creates a magnetic depth profile, enabling temperature-dependent tunability of the magnetic thickness. These additional internal degrees of freedom broaden the design possibilities for magnetic metamaterials, allowing precise fine-tuning of their static and dynamic properties to achieve complex and customizable behaviors.
