Recent Articles

Open access

ISSN: 2949-9488

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...

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...

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...

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...

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...

Event driven technology intelligence

The Event Driven Technology Intelligence (EDTI) model offers a structured approach to navigating the complexities of technological innovation. This research aims to summarize the core concepts and phases...

Remanufacturing facility installation decisions under product sourcing cost uncertainties: A real options approach

In this paper, we investigate the strategic decision-making process of a Maintenance Repair and Overhaul (MRO) company considering the installation of a remanufacturing facility under product sourcing...

UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation

Accurate segmentation of skin lesions from dermoscopic images is crucial for early skin cancer detection, yet variations in lesion appearance and image artifacts present challenges. This study proposes...

Blockchains effects on responsiveness to recalls in the food and beverage industry

Blockchain technology, by revolutionizing the way businesses use data, is shifting the cost-responsiveness frontier. While the most popular application of blockchain is cryptocurrency, nowadays it is...

The impact of customer boredom on the efficacy of a rewards program

In this paper, we study utilizing a game theoretic model, how variety seeking triggered by customer boredom may affect a firm’s rewards program, pricing strategy and profits. Customer Boredom is conceptualized...

Digital Sustainable Growth Model (DSGM): Achieving synergy between economy and technology to mitigate AGI risks and address global debt challenges

The emergence of Artificial General Intelligence (AGI) as Artificial Humanity (AH) marks a crucial turning point in human history, influencing both the digital economy and sustainable development. AGI...

User Segmentation under Blockchain-Based Privacy Protection

User segmentation is a marketing strategy that allows companies to more accurately position their products and services, thereby enhancing marketing efficiency and customer satisfaction. However, existing...

Impact of entrepreneurial leadership on employees’ innovative behavior: a mediation analysis of organizational motivation to innovate and employees’ creativity

The significance of entrepreneurial leadership (EL) in agricultural research institutes has been acknowledged in academic research. However, empirical studies examining the effect of leadership style...

Encrypted Intelligence: A Comparative Analysis of Homomorphic Encryption Frameworks for Privacy-Preserving AI

This paper presents a comparative study of various homomorphic encryption models to evaluate their qualitative and quantitative benefits and drawbacks in performing computations on encrypted data. Within...

The determinants of the Initial Coin Offering (ICO). A cross-country study.

This study provides a cross-country analysis of the determinants of Initial Coin Offering (ICO) emergence. Our empirical findings indicate a positive correlation between ICO activity and a country's...

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...

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...

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...

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...

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...

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...

Creative destruction and artificial intelligence: The transformation of industries during the sixth wave

Artificial intelligence (AI) is considered to be a key driver in the emerging sixth wave of technological advancement, one that has profound economic implications. The emergence of AI has led to significant...

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