SN Computer Science, Journal Year: 2024, Volume and Issue: 5(8)
Published: Dec. 10, 2024
Language: Английский
International Journal of Financial Studies, Journal Year: 2024, Volume and Issue: 12(2), P. 47 - 47
Published: May 15, 2024
Despite the recent proliferation of research on internationalization, little attention has been paid to understanding reasons behind decrease in firm value accompanying international expansion. By delving into underlying mechanisms and applying concept agency theory a sample US firms spanning from 2000 2022, we posit that an increased level information asymmetry internationally diversified incentivizes managers prioritize their own interests. To protect careers, CEOs often suppress bad news. This behavior can lead accumulation negative news heighten risk stock-price crash. Furthermore, propose higher levels experience, enhanced monitoring effectiveness, efficient investment practices will negatively moderate positive relationship between internationalization crash risk.
Language: Английский
Citations
8
International Journal of Information and Communication Technology Education, Journal Year: 2024, Volume and Issue: 20(1), P. 1 - 19
Published: July 23, 2024
This paper employs BP Neural Network (BPNN) theory to evaluate innovation and entrepreneurship education in universities. It utilizes students' evaluation indexes as input vectors determines the number of hidden layer neurons. Experimental results serve output vectors. The BPNN method proves reasonable feasible for vocational course evaluation, exhibiting a 14.96% higher accuracy than traditional genetic algorithms. discusses model, configuration, characteristics, training process, algorithm enhancement, limitations neural networks, followed by an introduction Through analysis principles, basic operations, common operators, it establishes theoretical foundation subsequent discussions.
Language: Английский
Citations
4
Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6705 - 6705
Published: Aug. 5, 2024
In an era where sustainability and efficient resource utilization are paramount, the closed-loop supply chain (CLSC) emerges as a critical approach, particularly in context of perishable goods. The perishability products adds layer complexity to management, necessitating innovative strategies for maximizing product life minimizing waste. This comprehensive review article delves into integration within framework CLSC. study thoroughly examines existing research identify gaps outline future directions. It emphasizes unique challenges complexities managing goods, crucial but often overlooked component sustainable practices. highlights balance between efficiency sustainability, underscoring importance reverse logistics circular economy principles enhancing resilience. By synthesizing various methodologies findings, presents holistic view current state management CLSCs, offering valuable insights academia industry practitioners. not only contributes theoretical understanding also proposes practical approaches their optimization, aligning with broader goals.
Language: Английский
Citations
4
Annals of Operations Research, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 3, 2025
Language: Английский
Citations
0
Journal of Systems Science and Systems Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: April 18, 2025
Language: Английский
Citations
0
Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105355 - 105355
Published: May 1, 2025
Language: Английский
Citations
0
Mathematics and Computers in Simulation, Journal Year: 2024, Volume and Issue: 229, P. 50 - 77
Published: Sept. 26, 2024
Language: Английский
Citations
2
Mechanics Based Design of Structures and Machines, Journal Year: 2024, Volume and Issue: 52(12), P. 10273 - 10303
Published: May 20, 2024
This work surveyed the vibration behavior and stability analysis of an underwater moving flexible nanosize beam, implementing numerical analytical methods as well tree-based machine learning (ML) algorithms. Dynamic modeling is performed based on nonlocal stress-strain gradient theory (NSSGT), incorporating variable environmental conditions, surface energy, rotational inertia effects. The natural frequencies instability threshold are computed numerically. exact closed-form mathematical expression for critical towing velocity beam determined analytically. Also, decision tree regression least-squares boosting (LSBT) algorithms exploited to predict boundaries fundamental frequency, their efficiency accordingly. Comparative studies parametric investigations conducted. impressions geometry, added mass coefficient, scale ratio parameter, layer characteristics, fluid ratio, humidity, temperature rise, external magnetic field intensity nanosystem dynamics examined illuminated. It detected that results method ML-based approaches consistent with those reported by technique literature. asserted proposed ML have acceptable performance excellent effectiveness in computational time cost. comprehended dynamic features submerged traveling nanobeams drastically depend effects thickness-dependent immersed movable nanoscale beams perceived improve increasing parameter coefficient. From perspective optimal design engineering instrumentation tools, outcomes current article can be applied inclusive benchmark.
Language: Английский
Citations
1
SN Computer Science, Journal Year: 2024, Volume and Issue: 5(8)
Published: Nov. 20, 2024
Language: Английский
Citations
0
SN Computer Science, Journal Year: 2024, Volume and Issue: 5(8)
Published: Dec. 10, 2024
Language: Английский
Citations
0