Assessing the impact of artificial intelligence on customer performance: a quantitative study using partial least squares methodology
September 2024
The purpose of this research is to examine the impact of artificial intelligence (AI) on customer performance and identify the factors contributing to its effectiveness by employing a quantitative approach,...
Investigating customer churn in banking: a machine learning approach and visualization app for data science and management
March 2024
Customer attrition in the banking industry occurs when consumers quit using the goods and services offered by the bank for some time and, after that, end their connection with the bank. Therefore, customer...
Factors influencing readiness for artificial intelligence: a systematic literature review
June 2025
Public-and private-sector organizations have adopted artificial intelligence (AI) to meet the challenges of the Fourth Industrial Revolution. The successful implementation of AI is a challenging task,...
Explainable prediction of loan default based on machine learning models
September 2023
Owing to the convenience of online loans, an increasing number of people are borrowing money on online platforms. With the emergence of machine learning technology, predicting loan defaults has become...
Machine learning-based approach: global trends, research directions, and regulatory standpoints
December 2021
The field of machine learning (ML) is sufficiently young that it is still expanding at an accelerating pace, lying at the crossroads of computer science and statistics, and at the core of artificial...
Challenges and prospects of artificial intelligence in aviation: a bibliometric study
June 2025
The primary motivation for this study is the recent growth and increased interest in artificial intelligence (AI). Despite the widespread recognition of its critical importance, a discernible scientific...
Artificial Intelligence Dimensions and Design Features for the Knowledge-based Work of the Future: A Socio-Technical Perspective
Available online 16 May 2025
With recent advances in transformative technologies, such as the Internet of Things, cloud computing, and mobile devices, jobs have become more knowledge-based. To implement successful technologies...
User-centric avatar design: a cognitive walkthrough approach for metaverse in virtual education
December 2024
Metaverse, once a concept confined to science fiction, has emerged as a transformative reality during the digital era. As this immersive virtual world gains prominence, the role of avatars and the digital...
A model for predicting dropout of higher education students
March 2025
Higher education institutions are becoming increasingly concerned with the retention of their students. This work is motivated by the interest in predicting and reducing student dropout, and consequently...
Unlocking the power of machine learning in big data: a scoping survey
Available online 15 February 2025
Machine learning (ML) plays a crucial role in big data (BD) by serving as the cornerstone of efficient data processing and analysis. In particular, ML provides BD with the ability to extract valuable...
Effects of information quality on information adoption on social media review platforms: moderating role of perceived risk
March 2021
With the integration of social media and e-commerce, social media review platforms provide consumers with a place to share information and create electronic word of mouth (e-WOM). Information from e-WOM...
The impact of consumer perceived value on repeat purchase intention based on online reviews: by the method of text mining
September 2021
The progress of IT technology such as social network and mobile payment and the change of social economic environment promote the emergence of sharing economy. As a subversive business model, the sharing...
Hotspots and trends of environmental, social and governance (ESG) research: a bibliometric analysis
June 2023
This study examines paper-level metrics in the literature on topics related to environmental, social and governance (ESG) to provide a research agenda for hotspots and trends. Based on 755 papers on...
Integrative innovation of large language models in industries: technologies, applications, and challenges
Available online 2 July 2025
This paper examines the transformative potential of large language models (LLMs) across diverse industries, emphasizing their ability to enhance natural language processing tasks through pre-training...
Systematic review of data-centric approaches in artificial intelligence and machine learning
September 2023
Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart algorithms have been developed to improve the performance of AI-oriented structures. However, model-centric...
An explainable feature selection framework for web phishing detection with machine learning
June 2025
In the evolving landscape of cyber threats, phishing attacks pose significant challenges, particularly through deceptive webpages designed to extract sensitive information under the guise of legitimacy....
Cross-border electronic commerce’s new path: from literature review to AI text generation
March 2023
Digitization, informatization, and Internet penetration have led to a significant rise in cross-border e-commerce (CBEC), attracting considerable interest from academia, government, and industry. This...
Virtual manufacturing in Industry 4.0: A review
March 2024
Virtual manufacturing is one of the key components of Industry 4.0, the fourth industrial revolution, in improving manufacturing processes. Virtual manufacturing enables manufacturers to optimize their...
AI-driven innovation in emerging markets: extending the technology acceptance model–technology-organization-environment framework in small- and medium-sized enterprises
Available online 28 April 2025
This study examined the impact of artificial intelligence (AI) adoption on innovation outcomes in Pakistani manufacturing small- and medium-sized enterprises (SMEs), addressing a critical gap in the...
Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things intrusion detection
Available online 28 February 2025
The exponential escalation of cyber threats and attacks targeting Internet of Things (IoT) devices in this decade necessitates the development of effective intrusion detection methods. This paper presents...
Enhancing cyber threat detection with an improved artificial neural network model
March 2025
Identifying cyberattacks that attempt to compromise digital systems is a critical function of intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and vulnerability...
Secure approach to sharing digitized medical data in a cloud environment
June 2024
Without proper security mechanisms, medical records stored electronically can be accessed more easily than physical files. Patient health information is scattered throughout the hospital environment,...
Data security governance in the era of big data: status, challenges, and prospects
June 2021
At present, the global big data industry is experiencing vibrant development with technological evolution and application innovation speeding up side by side. Novel technologies for data storage, computing...
Blockchain and its derived technologies shape the future generation of digital businesses: a focus on decentralized finance and the Metaverse
September 2023
Without a doubt, blockchain, as one of the most valuable technological advancements, has been introduced over the past decade and has played a significant role in the industrial revolution. The emergence...
Effects of feature selection and normalization on network intrusion detection
March 2025
The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning...