Results 231 to 240 of about 278,525 (306)

Asymmetric Effects of Medium‐ and High‐Tech Industries on Environmental Sustainability and the SDGs in the EU‐5: Evidence From Green Energy Transition and the Load Capacity Curve

open access: yesSustainable Development, EarlyView.
ABSTRACT In advanced European economies facing persistent environmental pressures, achieving the Sustainable Development Goals (SDGs) requires aligning technological transformation with ecological constraints. This study examines the asymmetric effects of medium‐ and high‐technology (M&HTEC) industries on environmental sustainability in the EU‐5 ...
Abdullah Emre Caglar   +2 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Better on Average? Average Inflation Targeting With an Unclear Averaging Window

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley   +1 more source

A Multi‐Criteria and Empirical Study for Determining the Influencing Factors of Generative Artificial Intelligence Adoption in Companies

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI) has emerged as a transformative force across business and society due to its ability to generate new content. This potential to reshape businesses introduces challenges and opportunities, necessitating a deeper understanding of GenAI's impact.
Symone G. S. Alcalá   +3 more
wiley   +1 more source

Trading Strategies on Local Electricity Markets Using Agent‐Based Modelling and Reinforcement Learning: Vectors to Expand Energy Communities

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT Energy communities (ECs) members have a high degree of heterogeneity. Agent‐based modelling (ABM) allows for the modelling of each entity as an agent with distinct characteristics and decision rules. This is particularly useful when the heterogeneity of agents affects outcomes.
Adela Bâra, Simona‐Vasilica Oprea
wiley   +1 more source

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