114 Result(s)
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Open AccessSocial media influencer streamers and live-streaming shop**: examining consumer behavioral intention through the lens of the theory of planned behavior
The rapid development of live streaming has given rise to live-streaming shop**, a novel channel of online shop** that has gained considerable market value. While previous studies have explored various fac...
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Prediction of crater morphology and its application for enhancing dimensional accuracy in micro-EDM
As a non-conventional machining technique, the micro electrical discharge machining (micro-EDM) process primarily involves the removal of material from the workpiece through high-frequency discharges. The mach...
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Overlooked effect of negative data on efficiency analysis
Financial data may contain nonpositive values, which can be addressed using logarithm transformation or the addition of constant. However, production scale is important when employing data envelopment analysis...
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The impact of open innovation on firms’ performance in bad times: evidence from COVID-19 pandemic
Open innovation, characterized by the collaborative sharing and management of knowledge and technologies, is posited to be a strategic tool for corporate resilience during crises. To empirically assess the val...
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Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches
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Retraction Note: Application of artificial intelligence technology in financial data inspection and manufacturing bond default prediction in small and medium-sized enterprises (SMEs)
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Seaport profit analysis and efficient management strategies under stochastic disruptions
This study deals with managing supply chain costs and profit for ports’ hinterland shipments and container transshipment under stochastic disruptions. The underlying mechanisms describing port economic activit...
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Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches
In this work, our proof-of-concept study can be used to predict the number of cells within printed droplets based on droplet velocity at two different points along the nozzle-substrate distance using machine l...
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Tripartite evolutionary game in the process of network attack and defense
At present, confrontations in cyberspace are becoming increasingly fierce, and network attacks and defenses have become the main form of confrontation between parties in cyberspace. The maximum benefit can be ...
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NOWJ at COLIEE 2023: Multi-task and Ensemble Approaches in Legal Information Processing
This paper presents the NOWJ team’s approach to the COLIEE 2023 Competition, which focuses on advancing legal information processing techniques and applying them to real-world legal scenarios. Our team tackled...
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Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults
A multidomain variance-learnable prototypical network (MVPN) is proposed to learn transferable knowledge from a large-scale dataset containing sufficient samples of multiple faults for few-shot diagnosis of no...
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Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process
Heat load prediction is essential to discover blast furnace (BF) anomalies in time and take measures in advance to reduce erosion in the ironmaking process. However, owing to the redundancy of the high dimensi...
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Open AccessAirline revenue management with segmented continuous pricing: methods and competitive effects
With the introduction of IATA’s New Distribution Capability (NDC), airlines will no longer be limited to discrete fare classes for their fare product distribution but could show fare quotes from continuous ran...
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Parameter Estimation for Geometric Lévy Processes with Constant Volatility
In finance, various stochastic models have been used to describe price movements of financial instruments. Following the seminal work of Robert Merton, several jump-diffusion models have been proposed for opti...
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Correction to: How do peace dividends bring about human development and productivity?
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Open AccessAccelerating AI Adoption with Responsible AI Signals and Employee Engagement Mechanisms in Health Care
Artificial Intelligence (AI) technology is transforming the healthcare sector. However, despite this, the associated ethical implications remain open to debate. This research investigates how signals of AI res...
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An efficient branch-and-cut algorithm for the parallel drone scheduling traveling salesman problem
This paper proposes an efficient branch-and-cut algorithm to exactly solve the parallel drone scheduling traveling salesman problem. The problem is first formulated as a mixed integer linear program with truck...
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Building dynamic capabilities of small and medium-sized enterprises through relational embeddedness: evidence from China
In a highly volatile environment, i.e., the bottom of the pyramid (BOP) context, small and medium-sized enterprises (SMEs) can develop and adapt their resource bases through partner relations, extending the em...
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Credit rating prediction with supply chain information: a machine learning perspective
In this paper, we adopt an ensemble machine learning framework—a Light Gradient Boosting Machine (LightGBM) and develop an algorithmic credit rating prediction model by innovatively incorporating firms’ extra ...
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Correction to: Perceived organizational exploitation and organizational citizenship behavior: a social identity perspective
