MIT University

Harnessing business value from artificial intelligence through dynamic capabilities and sociotechnical microfoundations

Purpose Artificial intelligence (AI) can be used to automate repetitive business processes, enhance employee capabilities and augment managerial decision-making across industries. However, many organisations struggle to translate AI initiatives into sustained strategic value. Thi...

Quantifying the direct and indirect impact of COVID-19 vaccination: evidence from Victoria, Australia

Vaccines not only directly protect vaccinated individuals but also contribute to protecting the entire population via indirect herd-immunity benefits. However, researchers have long struggled to quantify these indirect effects at the population level, hindering the assessment of...

In Situ TEM Study of the Size-Dependent Solubility of Metals in Liquid Metal Nanodroplets

Abstract Characterizing metal solubilities in post-transition-based liquid metals remains challenging due to their inherent opacity to conventional light-based analytical techniques. In this work, we present an in situ heating methodology within a transmission electron microscope...

Reframing HRM for a multipolar world: insights from the Asia-Pacific region

Purpose The purpose of this anthology is to critically evaluate the role of human resource management in International Business within an increasingly multipolar, digitally disrupted and institutionally diverse global environment. By bringing together leading scholars, the collec...

The impact of geopolitical risk on energy and precious metal commodity markets using the DCC-GARCH MIDAS model

Purpose This study aims to investigate the impact of geopolitical risk on selected energy and precious metal commodities, namely WTI crude oil, Brent crude oil, natural gas, gold and silver. Design/methodology/approach The study uses a Dynamic Conditional Correlation Generalized...

A YOLOv8x-Seg-based adversarial domain adaptation approach for construction and demolition waste instance segmentation

Effective construction and demolition waste (CDW) sorting is essential for improving resource recovery and supporting circular construction practices. Automated sorting systems require robust visual perception across changing material appearances, lighting, backgrounds, and opera...

Trustworthy Deployment of LLM-Based RAG Systems for Small Businesses: A Security and Confidence-Aware Framework †

Small and medium-sized enterprises (SMEs) are increasingly deploying Large Language Model (LLM)-based agentic systems to support customer service and internal knowledge management. However, practical deployment of retrievalaugmented generation (RAG) systems continues to be challe...