D'Amore-McKim faculty member receives Fulbright
As part of his semester in Canada, Anand Nair plans to develop and test an AI-enabled remote patient monitoring system.
As part of his semester in Canada, Anand Nair plans to develop and test an AI-enabled remote patient monitoring system.
Technology now lets firms detect service failures and issue instant apologies at scale. But across five studies, including a large field experiment with a food delivery company, researchers found that apologizing when customers are unaware of a failure can backfire—reducing satisfaction, trust, recommendations, repeat purchases, and revenue. The research finds that this is because apologies increase customers' awareness that something went wrong and label it as a “failure,” often overshadowing any warmth or honesty they signal. By contrast, when customers already recognize a problem or complain, apologies help. Leaders must design policies that consider timing, customer awareness, complaints, and legal or ethical obligations in order to maintain customer satisfaction and loyalty.
Fossil fuel companies want you to think they're leaders in renewables — researchers say their communication strategy suggests otherwise.
New research finds that businesses respond to tax incentives in ways that vary widely depending on a country's tax system and economic structure.
Managers give more work to employees they perceive as being more intrinsically motivated under a “naive belief.”
Mark Esposito argues in a piece for World Economic Forum that world economic leaders would be short-sighted to not consider energy and geopolitics alongside AI investments.
In D'Amore-McKim's Advanced Research Practicum students from across Northeastern collaborate on high-impact projects using AI and data analytics. Led by Kwong Chan, the practicum connects students with real-world partners and challenges, preparing them to deliver solutions that matter.
Faculty explore how Essaybot, built on the DASH_box, can streamline grading, improve feedback, and shape AI-assisted learning.
Debashish Ghose uses DASH_Box to overcome hardware bottlenecks and accelerate large-scale data analysis of Kickstarter project trends.
Professor Guohou Shan uses DASH_Box to power large-scale AI models, accelerate discovery, and build real-world applications in information security.
Professor Chris Riedl leverages DASH_Box to power breakthrough research in AI, workforce studies, and network modeling—securely and at speed.