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ISSN: 2949-9488

Federated learning and information sharing between competitors with different training effectiveness

Federated Learning (FL) is an innovative technique that allows multiple firms to collaborate in training machine learning models while preserving data privacy. This is especially important in industries...

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From innovation capability to green innovation capability: Evidence from Chinese big tech firms

Innovation capability as a source of competitive advantage for firms is a consolidated topic in the literature. However, there is still little evidence about the green characteristics that innovation...

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Quantitative Modeling of M&A Success Probability: Integrating Macroeconomic Volatility and Temporal Factors through Survival Analysis

This paper delves into the intricate dynamics of the likelihood of merger and acquisition (M&A) completion in China and scrutinizes the influence of global and domestic economic conditions through survival...

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Innovative Machine Learning Approaches for Complexity in Economic Forecasting and SME Growth: A Comprehensive Review

Economic forecasting and small and medium-sized enterprises (SMEs) growth prediction have become essential tools for guiding policy, business strategy, and economic development in an increasingly data-driven...

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Enhancing Energy Resilience in Manufacturing Enterprises: A Systematic Mapping of Challenges to Strategies

An unreliable energy supply disrupts productivity and operational stability in manufacturing enterprises worldwide. Addressing these challenges requires achieving consensus among experts from diverse...

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User Activity to Enhance Customer Lifetime Value Modeling in Contractual Streaming Industry

This article presents a model for Customer Lifetime Value (CLV) tailored to the subscription-based streaming industry, incorporating both contractual dynamics and user activity. Unlike traditional CLV...

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ChatGPT and CLT: Investigating Differences in Multimodal Processing

Drawing on construal level theory, recent studies have demonstrated that ChatGPT interprets text inputs from an abstract perspective. However, as ChatGPT has evolved into a multimodal tool, this research...

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Research on the low-carbon transformation of energy consumption under population aging in China

The low-carbon transformation of energy consumption is a key path to achieving the carbon emissions peak and carbon neutrality in China. Furthermore, technological innovation and policy regulation are...

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Geography-based transmission network expansion strategies for Andean electrical systems

In many countries of the Global South, transmission network expansion faces unique challenges due to the diversity of available resources and specific geographic conditions. These challenges are particularly...

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Estimating the influence of KIBS spillovers through the knowledge production function and the role of international trade

A research gap exists regarding how research and development (R&D) expenditures contribute to the generation of innovative spillovers through knowledge-intensive business services (KIBS), particularly...

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Predicting e-commerce CLV with neural networks: The role of NPS, ATV, and CES

Accurately predicting Customer Lifetime Value (CLV) is paramount in optimizing customer relationship management. This study introduces a novel deep learning approach, employing a neural network model...

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Quantum cloud computing: Trends and challenges

Quantum computing is a new paradigm that will revolutionize various areas of computing, especially cloud computing. Quantum computing, still in its infancy, is a costly technology that can operate in...

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Next generation of electronic medical record search engines to support chart reviews: A systematic user study and future research direction

Little research has been done on the user-centered document ranking approach, especially in a crowdsourcing chart review environment. As the starting point of designing and implementing the next generation...

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Electricity climate-compatibility index: Measuring global progress towards decarbonising the power sector

This paper proposes a novel index, ECI (Electricity Climate-Compatibility Index), to measure global fossil fuel electricity generation alignment with climate targets. Net anthropogenic carbon dioxide...

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A systematic review on the dimensions of open-source disaster intelligence using GPT

Natural and manmade disasters like landslides, floods, earthquake, cyclone, shooting, riots have detrimental effect in precious life, infrastructure, and economy. This study addresses the need for a...

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Review of enablers and barriers of sustainable business practices in SMEs

There are many factors that persuade or discourage business owners or managers of small and medium-sized firms to adopt sustainable policies. It is important to understand how different factors are...

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Global low carbon transitions in the power sector: A machine learning clustering approach using archetypes

This study presents an archetype-based approach to designing effective strategies for low-carbon transitions in the power sector. To achieve global energy transition goals, a renewable energy transition...

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Factors influencing librarian adoption of ChatGPT technology for entrepreneurial support: A study protocol

Artificial intelligence (AI) has become a revolutionary force in the constantly evolving technology landscape, transforming many industries, including libraries. Libraries have been focusing on experimenting...

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IoT-driven accessibility: A refreshable OCR-Braille solution for visually impaired and deaf-blind users through WSN

The spectacular concept of integrating OCR with the Internet of Things (IoT) and Wireless Sensor Networks (WSN), presented in this study, intends to increase the autonomy and social inclusion of people...

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Role of economy, technology, and renewable energy toward carbon neutrality in China

The goal of the research project is to look at the influence of the economy, technology, and renewable energy on China's ecological damage. A number of methods, such as the ARDL bound test for cointegration,...

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Empowering tomorrow: Unleashing the role of technology driven energy efficiency for sustainable development in China

The underlying objective of the study is to investigate the energy efficiency improvement potentiality of total technological innovation and its components, such as residential and non-residential technological...

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Factors affecting the aesthetic experiences in educational games: A qualitative investigation

Aesthetics play a pivotal role in enriching the learning experience and are indispensable for fostering optimal educational environments. This study aims to identify the factors that shape aesthetic...

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Green finance and its role in sustainability in the EU

The aim of this paper is to investigate the role of green finance on sustainability in Germany and the European Union (EU). This aim will be achieved by examining recent data in this field via a panel...

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Smart governance for smart cities and nations

There is an increasing emphasis on utilizing ICT to drive global governmental transformation to enhance efficiency and cost-effective service delivery. Smart governance represents a novel and data-driven...

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How do technological innovation and urbanization drive economic growth in Tanzania and transform societies? Exploring the potential channels

The current era is witnessing a rapid pace of technological innovation and accelerated urbanization globally. This study examines the impact of technological innovation (trademark registrations) and...

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