The research paper discusses the impact of Artificial Intelligence (AI) on organizational and
process-level performance. The study follows a four-step process: analyzing AI …

With the rapid adoption of machine learning (ML) technologies, organizations are constantly
exploring efficient processes to develop such technologies. The cross-industry standard …

Background The use of mobile devices for delivering health-related services (mobile health
[mHealth]) has rapidly increased, leading to a demand for summarizing the state of the art …

Organizations increasingly use machine learning (ML) to transform their operations. The
technical complexity and unique challenges of ML lead to the emergence of ML operations …

The paper delves into the influence of artificial intelligence (AI) on business decision-
making. By examining this phenomenon's technical, strategic, and ethical dimensions, the …

It is frequently demanded that AI-based Decision Support Tools (AI-DSTs) ought to be both
explainable to, and trusted by, those who use them. The joint pursuit of these two principles …

Abstract Technological advances in Artificial Intelligence (AI) are enabling organisations to
become more data-driven. Furthermore, the successful adoption of AI offers substantial …

In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI)
is increasingly evident across various sectors, including local governments. These …

Business Process Management (BPM) has emerged as a fundamental aspect of modern
business, revolutionizing task execution and operational efficiency. This study explored the …

Purpose This study aims to systematically review the literature on digital consumers'
decision-making in the banking, financial services and insurance (BFSI) sector and …