Results 211 to 220 of about 51,786 (296)

Mapping the Thematic Landscape of Digitalisation and Regional Sustainable Development: A Bibliometric Analysis

open access: yesSustainable Development, EarlyView.
ABSTRACT Digitalisation has become an increasingly prominent topic in research on regional sustainable development. As academic attention to its relationship with Sustainable Development Goals expands, the thematic configuration and structural evolution of this research domain remain fragmented.
Georgiana Alina Crisan   +3 more
wiley   +1 more source

Artificial Intelligence Patents and the Sustainable Development Goals: A Comparative Analysis of the United States and China

open access: yesSustainable Development, EarlyView.
ABSTRACT Artificial intelligence (AI) is a general‐purpose technology with wide‐ranging implications for sustainable development; yet, little is known about how its innovation trajectories have aligned with the United Nations (UN) Sustainable Development Goals (SDGs).
Ern Chern Khor, Moon Choi
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

Balancing allocative and dynamic efficiency with redundant R&D allocation: The role of organizational proximity and centralization

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary Resource‐based‐view scholars have mainly examined two resource allocation approaches for competitive advantage in multiunit firms: resource sharing and resource redeployment. These approaches emphasize allocative efficiency—the optimal allocation of resources to maximize their current value. In technology‐intensive industries,
Vivek Tandon   +3 more
wiley   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

open access: yesSystems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell   +3 more
wiley   +1 more source

A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette   +3 more
wiley   +1 more source

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

open access: yesArtificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

Review on enhancing clinical decision support system using machine learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood   +4 more
wiley   +1 more source

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