Results 111 to 120 of about 54,125 (236)

Nurses' Experiences and Perceptions of Evidence‐Based Healthcare Competence: A Qualitative Systematic Review

open access: yesJournal of Advanced Nursing, EarlyView.
ABSTRACT Background Nurses are pivotal in EBHC implementation; however, its adoption remains limited, highlighting the need to investigate nurses' experiences and perceptions of their EBHC competence. Aim To critically appraise and synthesise qualitative evidence of nurses' experiences and perceptions of EBHC competence. Design A qualitative systematic
Anne‐Mari Hietaniemi   +9 more
wiley   +1 more source

Using Affirmative Action as a Tiebreaker

open access: yesJournal of Applied Philosophy, EarlyView.
ABSTRACT We argue in favor of affirmative action. There are two central points to our argument. First, if two or more candidates for a position are matched in competence, then one ought to prefer a candidate from a disadvantaged, disenfranchised, or minority background rather than defer to the outcome of a lottery.
Shalom Chalson, James Bernard Willoughby
wiley   +1 more source

Geopolitics on a Shoestring? Unpacking the EU'S Geopolitical External Assistance to Central Asia

open access: yesJCMS: Journal of Common Market Studies, EarlyView.
ABSTRACT The paper examines how the European Union's (EU) increasingly emphasised geopolitical ambitions are reflected in the practice of its external assistance policy. An analysis of EU documents around various policy initiatives and funding instruments reveals that in the Commission's understanding, geopolitical external assistance increases EU ...
Balázs Szent‐Iványi, Dóra Piroska
wiley   +1 more source

Best Before? Expiring Central Bank Digital Currency and Loss Recovery

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract Physical cash enables payments in the absence of electricity or network coverage. Such offline payment functionality promotes the operational resilience and, particularly in developing countries, the accessibility of payments. Central banks are exploring issuing digital cash substitutes with similar offline payment functionality.
CHARLES M. KAHN   +2 more
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

Understanding Talent in Foreign Subsidiaries: A Review, Synthesis, and Way Forward

open access: yesJournal of Management Studies, EarlyView.
Abstract Foreign subsidiaries of multinational corporations are strategically important, requiring them to tailor their human capital resources to specific needs. Although talent serves as the micro‐level foundation of subsidiaries’ organizational‐level human capital resources and strategic outcomes, the current literature is fragmented and fails to ...
Ting Liu   +4 more
wiley   +1 more source

How Are Skills Changing with Digital Technologies? Clarifying Boundary Conditions in Management Research

open access: yesJournal of Management Studies, EarlyView.
Abstract This article contributes to discussions about the future of work by providing a systematic review of the broad yet fragmented management literature on how skills are changing with digital technologies (DTs). Our aim was to understand the nature of scholarly engagement with this relationship to inform a future research agenda.
Damian Grimshaw, Marcela Miozzo
wiley   +1 more source

Permutation tests for experimental data. [PDF]

open access: yesExp Econ, 2023
Holt CA, Sullivan SP.
europepmc   +1 more source

Targeting and Effectiveness of Location‐Based Policies

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT This paper provides new insights into the design of effective location‐based policies. In the context of European regional policy, we apply machine learning algorithms to predict regions likely to underutilize EU funding and identify the main determinants of their low absorptive capacity.
Vincenzo Carrieri   +3 more
wiley   +1 more source

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