This study presents a metaverse flywheel model providing insights into how the emerging
layered modular architecture of the metaverse can enable new types of value-creation …

Data pricing, which aids in articulating the worth and advantages of data and encourages its
opening, sharing, and circulation, is an indispensable component of data trading. Studies …

This paper surveys the relevant existing literature that can help researchers and policy
makers understand the drivers of competition in markets that constitute the provision of …

Compared to classical machine learning (ML) models, generative models offer a new usage
paradigm where (i) a single model can be used for many different tasks out-of-the-box;(ii) …

Purpose The purpose of this paper is to identify the potential and the challenges for different
firms in adopting an AI-first strategy. The study attempts to discern if any company can …

Purpose The paper argues that the classical Marxist theory of capitalist accumulation is
inadequate to understand new forms of capitalism and their accumulation processes …

Startup companies operate in an unpredictable and unstable business environment. They​
have the potential to grow through optimal decision-making► Or a suboptimal decision …

Problem definition: Two disciplines increasingly applied in operations management (OM)
are machine learning (ML) and behavioral science (BSci). Rather than treating these as …

Research has been growing on object detection using semi-supervised methods in past few
years. We examine the intersection of these two areas for floor-plan objects to promote the …

Artificial intelligence (AI) is poised to revolutionize healthcare delivery in the United States
and around the world. As AI becomes an integral part of the healthcare workflow, it will …