(Outlet: Wall Street Journal) Stefano Puntoni, Sebastian S. Kresge professor of marketing at the Wharton School, discusses the role of human labor in the face of advancing artificial intelligence and automation. …Read More
There’s no need for business leaders to panic about the arrival of technology like generative AI. Wharton’s Rahul Kapoor explains why now is the time to develop new frameworks to manage the changes ahead.…Read More
The robots are coming, whether employees are ready or not. Wharton’s Lynn Wu explains why the next workplace revolution requires firms to rethink everything, especially the traditional career ladder.…Read More
Wharton Human-AI Research faculty co-director Sonny Tambe was featured on a panel hosted by Georgetown University and the Brookings Institute on ChatGPT and the Future of Work.…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
(Published Paper) Lindsey Cameron and authors examine how individuals react to the sudden public moralization of their work and with what consequences…Read More
(Published Paper) Lindsey Cameron’s four-year qualitative study of workers in the largest sector in the on-demand economy (ridehailing) suggests an alternative to recruitment and socialization and more readily available mechanism of engagement—workplace games. …Read More
(Published Paper) Pinar Yildirim and authors study adoption and utilization of automation within firms of different organizational structures…Read More
(Published Paper) Benjamin Shestakofsky and co-author describe the relationship labor that is systematically excised from many platforms’ accounts of what they do and missing from much of the scholarship on platform governance…Read More
The researchers identify four challenges in using data science for human resource (HR) management tasks: the complexity of HR phenomena, constraints imposed by small data sets, fairness, ethical, and legal constraints, and possible adverse employee reactions to management decisions via data-based algorithms. They propose practical responses to these challenges that would be economically efficient and socially appropriate.…Read More
