Dissertations, Theses, and Capstone Projects
Date of Degree
6-2026
Document Type
Doctoral Dissertation
Degree Name
Doctor of Philosophy
Program
Business
Advisor
Qiang Gao
Advisor
Karl Lang
Committee Members
Karl Lang
Qiang Gao
Ana Valenzuela
Jiaru Bai
Subject Categories
Management Information Systems
Keywords
Digital platforms; generative AI; digital labor market; human capital; bidding regimes; privacy disclosure; digital resignation; platform governance; hidden Markov model; platform governance; transparency policy
Abstract
This dissertation examines how technological disruptions reshape behavior, competition, and user response in platform ecosystems. Bringing together two studies of generative AI in digital labor market and one study of mandatory privacy disclosure in mobile app ecosystems, it argues that platform technologies do not affect participants uniformly. Instead, their effects are mediated by market structures, competitive dynamics, and platform dependence.
The first study shows that ChatGPT shifts workers’ human capital strategies by reducing investment in specialized depth while increasing skill diversity, revealing a move from exploitation toward exploration. Yet market rewards remain uneven, as workers who integrate AI with deep expertise achieve stronger performance outcomes. The second study models bidding behavior as movement across latent regimes and finds that generative AI both improves outcomes within regimes and shifts workers across them, with effects varying by experience. The third study examines Google Play’s 2022 Data Safety policy and finds that mandatory privacy disclosures initially reduce both downloads and ratings, but over time behavioral engagement substantially recovers while negative sentiment persists.
Taken together, the dissertation shows that technological disruptions generate adaptation without necessarily producing empowerment. Across labor and consumption contexts, actors respond strategically, but those responses remain bounded by platform design, market structure, and dependence. The dissertation identifies market adaptation and digital resignation as two related consequences of technological disruption in platform ecosystems.
Recommended Citation
Cho, Eunah, "Technology Disruptions in Platform Ecosystems: AI, Market Adaptation, and Digital Resignation" (2026). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/6638
