Wharton AI & Analytics for Business (AIAB) welcomes ZbyHP as its newest corporate partner. ZbyHP builds high-performance laptops, desktops and solutions designed for creative and technical pros. , ZbyHP has helped support the Women in Data Science (WiDS) at Penn Conference. Additionally, ZbyHP has generously provided one of their premiere workstations to AIAB for research use by both student and academic researchers throughout 2023. …Read More
Kartik Hosanagar co-authors article on ChatGPT and how it will impact search.…Read More
(Published Paper) Lindsey Cameron and authors provide thier insights on the current status of algorithmic management research, how their work contributes to this area, where the field is heading in the future, and what important questions should be answered going forward…Read More
(Outlet: MIT Sloan Management Review) Stefano Puntoni, Sebastian S. Kresge Professor of Marketing at the Wharton School, discusses how consumers desire the practical advantages of smart products while retaining their autonomy and privacy.…Read More
Wharton AI & Analytics for Business (AIAB) faculty co-director Raghu Iyengar has been announced as a coeditor of the Journal of Marketing Research.…Read More
AI & Analytics for Business (AIAB) welcomes Hearst as its newest corporate partner. Hearst is a leading global, diversified information, services, and media company with operations in 40 countries. AIAB will be working with the Newspapers division for their first project together and then with the E-Commerce team on a second project.…Read More
(Published Paper) Christian Terwiesch on how Chat GPT performed on the final exam of a typical MBA core course, Operations Management…Read More
The article explores the intersection of business and brain science, with the Wharton Neuroscience Initiative at the University of Pennsylvania using neuroscience to understand decision-making, innovation, empathy, and brand loyalty. …Read More
(Published Paper) Barbara A. Mellers, Louise Lu, and John P. McCoy review the classic clinical versus statistical prediction debate as well as related modern work on humans versus algorithms.…Read More
(Published Paper) Lindsey Cameron and authors examine how individuals react to the sudden public moralization of their work and with what consequences…Read More
