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ISSN: 2949-9488

AI-Based Decision Support Systems in Industry 4.0, A Review

The development of modern technologies such as the Internet of Things (IoT), cloud computing, and artificial intelligence (AI) resulted in a new era of industrial automation and data interchange, which...

Transforming research with quantum computing

Quantum computing is a novel method of computation that uses the principles of quantum mechanics to handle highly challenging situations in a very short amount of time. Quantum technology has the ability...

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...

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...

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...

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...

A review of cyber attacks on sensors and perception systems in autonomous vehicle

Vehicle automation has been in the works for a long time now. Automatic brakes, cruise control, GPS satellite navigation, etc. are all common features seen in today's automobiles. Automation and artificial...

AI-powered blockchain technology in industry 4.0, a review

Artificial Intelligence (AI) algorithms can be employed to enhance the security of the blockchain networks in the era of industry 4.0. Smart contracts, powered by blockchain, can be developed by using...

Global adoption of generative AI: What matters most?

This study investigates the determinants of generative AI adoption across 136 countries, leveraging cross-sectional data from 2023 and employing a negative binomial regression model to address data...

A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing (NLP) tool that comprehends and produces text in response to given commands. It can be adopted for various requirements,...

LLM technologies and information search

With the booming of LLM technologies (e.g., ChatGPT), people’s goals and behaviors in information search have been reshaped significantly. This paper attempts to conceptually discuss how LLM technologies...

Artificial neural networks in supply chain management, a review

Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired by the structure and function of the human brain. In the context of supply chain management, ANNs can be used for...

A comprehensive review of Artificial Intelligence regulation: Weighing ethical principles and innovation

We present a comprehensive review of Artificial Intelligence (AI) regulation, addressing the challenges and needs associated with governing rapidly evolving AI technologies. We begin by exploring the...

Elucidating the role of consumer decision making style on consumers’ purchase intention: The mediating role of emotional advertising using PLS-SEM

The whole purpose of the present research was to advance the comprehension of the mediating effect of emotional advertising on consumer decision-making style and purchase intention. A conceptual framework...

Resilience and risk management in cybersecurity: A grounded theory study of emotional, psychological, and organizational dynamics

This Grounded Theory examines the in-depth dynamics of cybersecurity professionals working in financial organizations regarding stress management, risk handling, communication challenges, and perceived...

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...

Examining the impacts of information and communication technology (ICT) on national development and wellbeing: A global perspective

The impacts of information and communications technology (ICT) on national development and wellbeing is a current research issue. By integrating four World Bank datasets and World Happiness Report’s...

Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research

This research announces that the fresh federated learning structure is designed to enhance the privacy-preserving analysis of electronic health records (EHRs), and multiple institutions in this framework...

Agriculture 4.0 adoption challenges in the emerging economies: Implications for smart farming and sustainability

To ensure food security in this age of production and supply disruption, the agricultural sectors of emerging economies are gradually adopting more smart technologies to achieve sustainability. However,...

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...

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...

Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT

In an era inundated with vast amounts of information, the imperative for efficient news classification is paramount. This research explores the sophisticated integration of neural networks and convolutional...

Implications of algorithmic bias in AI-driven emergency response systems

In this paper, we introduce a framework to evaluate the economic implications of algorithmic bias specifically for the emergency response systems that incorporate AI. Unlike existing research, which...

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...

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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