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학술논문경영학연구2025.12 발행

Productivity Spillovers from Generative AI: How ChatGPT Adoption Reshapes Digital Engagement

Productivity Spillovers from Generative AI: How ChatGPT Adoption Reshapes Digital Engagement

김하은(서울대학교); 박성호(서울대학교); 홍주원(서울대학교); 이다혜(서울대학교)

54권 6호, 1939~1964쪽

초록

This study demonstrates how generative AI, specifically ChatGPT, influences user engagement across digital platforms beyond direct substitution or functional overlap. Using detailed user-level data from Nielsen Korea’s KoreanClick+ panel and a Difference-in-Differences design with Propensity Score Matching, we show that ChatGPT adoption is associated with increased total device usage, with stronger effects observed on PC devices and among users with lighter baseline engagement. Furthermore, users primarily reallocate engagement toward platforms they already frequent, suggesting that generative AI reinforces existing usage patterns rather than leading to the expansion into new platforms. We propose that these indirect behavioral spillovers may be driven, in part, by productivity gains that reduce cognitive effort, a finding consistent with Cognitive Load Theory. These findings highlight the broader impact of generative AI on digital engagement and provide a potential theoretical lens for understanding the underlying mechanisms.

Abstract

This study demonstrates how generative AI, specifically ChatGPT, influences user engagement across digital platforms beyond direct substitution or functional overlap. Using detailed user-level data from Nielsen Korea’s KoreanClick+ panel and a Difference-in-Differences design with Propensity Score Matching, we show that ChatGPT adoption is associated with increased total device usage, with stronger effects observed on PC devices and among users with lighter baseline engagement. Furthermore, users primarily reallocate engagement toward platforms they already frequent, suggesting that generative AI reinforces existing usage patterns rather than leading to the expansion into new platforms. We propose that these indirect behavioral spillovers may be driven, in part, by productivity gains that reduce cognitive effort, a finding consistent with Cognitive Load Theory. These findings highlight the broader impact of generative AI on digital engagement and provide a potential theoretical lens for understanding the underlying mechanisms.

발행기관:
한국경영학회
DOI:
http://dx.doi.org/10.17287/kmr.2025.54.6.1939
분류:
경영학

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Productivity Spillovers from Generative AI: How ChatGPT Adoption Reshapes Digital Engagement | 경영학연구 2025 | AskLaw | 애스크로 AI