Results 251 to 260 of about 274,113 (349)

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

open access: yesSustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Improving the Cost Modelling of Environmental, Social and Governance Using Artificial Intelligence: A Systematic Review

open access: yesSustainable Development, EarlyView.
ABSTRACT The integration of Environmental, Social and Governance (ESG) criteria into sustainable development exposes critical limitations in traditional cost modelling for Asset Lifecycle Management. Through a systematic review of 64 studies (2016–2025), this research identifies gaps including the compartmentalisation of ESG factors, methodological ...
Ziru Tao   +4 more
wiley   +1 more source

Shifting standards due to social class? The role of social class background in CEO career outcomes

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary This study investigates how social class background shapes CEO career outcomes. Extending the shifting standards model to post‐appointment evaluation, we theorize that CEOs from lower‐class backgrounds face persistently high confirmatory standards, producing asymmetric consequences.
Michelle Lee, Shelby L. Gai
wiley   +1 more source

Drifting to the top? The effects of category erraticism on status mobility in the U.S. venture capital industry

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary We examine the effects of category erraticism, that is, having moved across socio‐cognitively distant industry categories over time, on status mobility. We argue that it is not the breadth of the categories that a firm spans or the overall distance among those categories, but whether its movement across categories forms a ...
Danyang Li, Michael Jensen
wiley   +1 more source

Predicting Runtime in Spark‐Like Systems With Allocation‐Aware Deterministic Models

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Objectives Apache Spark is widely used for distributed data processing, but accurately predicting application execution time remains challenging because performance depends on application structure, resource configuration, and executor‐allocation behavior.
Hina Tariq, Olivia Das
wiley   +1 more source

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