Results 181 to 190 of about 145,281 (336)
ABSTRACT Despite the growing interest in the circular economy (CE) among various stakeholders, several research gaps continue to challenge researchers and practitioners, specifically among emerging European economies. This study analyzes survey data from 127 manufacturing SMEs in the Baltic states.
Baoying Zhu +4 more
wiley +1 more source
Consensus stability among composite decision makers in the framework of hesitant fuzzy graph model with application to doctor-patient disputes. [PDF]
Zhang T, Wang D, Xu Y.
europepmc +1 more source
ABSTRACT The crucial role of environmental dynamism (ED) in achieving supply chain responsiveness (SCR) has become a controversial topic in extant literature. However, despite several empirical studies on environmental dynamism and supply chain responsiveness, inconsistent findings and underexplored areas leave supply chain managers less informed about
Alexander Otchere Fianko +3 more
wiley +1 more source
The Evolution of Impression Management Research in Social Media: A Bibliometric Perspective
ABSTRACT The purpose of the present study is to investigate impression management (IM) usage by companies in the context of social media communication and emerging technologies through a comprehensive mapping of the scientific literature. In this matter, a bibliometric analysis has been conducted, extracting a sample of 262 peer‐reviewed journal ...
Antonio Iazzi +3 more
wiley +1 more source
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera +2 more
wiley +1 more source
Pseudo Lattice Graphs and their Applications to Fuzzy and Neutrosophic Models
Florentín Smarandache +2 more
openalex +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source

