The GenAI Future of Consumer Research

We develop a novel generative AI (GenAI) trajectory, “democratization-average trap-model collapse,” to identify data and model challenges posed by GenAI, from which we project the GenAI future of consumer research. This trajectory consists of three key phenomena: democratization broadens consumer participation, the average trap produces generic responses, and model collapses occurs when GenAI outputs lose human sensibilities.

The referral penalty: Decreased perceptions of merit undermine helping behavior towards referred employees

Employee referrals are commonly used by organizations due to their numerous benefits. However, it remains unclear how organizational incumbents, who are uninvolved in the hiring process, perceive and react to referral beneficiaries. Although traditional views suggest that the presence of a referral signals merit, incumbents’ perceptions may differ.

Tracking-Based Advertising After Apple's App Tracking Transparency: Firm-Level Evidence and Policy Implications

We discuss the impact of Apple’s App Tracking Transparency's (“ATT”) on targeted, online advertising. We overview the empirical results of Aridor, Che, Hollenbeck, Kaiser & McCarthy (2025) that measured the impact of ATT on e-commerce firms. The results point to a large reduction in the efficacy of targeted advertising and subsequently large revenue losses, borne primarily by smaller firms.

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