{"title":"数字平台治理能改善流程创新吗?来自苹果追踪政策的证据","authors":"Wei Wu, Wei Han","doi":"10.1016/j.econmod.2025.107298","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates whether digital platform governance improves firms' process innovation, addressing gaps in understanding how platform policies influence innovation dynamics in digital markets. Existing literature predominantly focuses on static innovation measures, failing to capture the iterative nature of digital product development cycles. Using gaming app data from iOS and Android platforms across 60 countries from 2019 to 2022, we employ a difference-in-differences approach to examine Apple's privacy policy impact on process innovation. Our analysis reveals that Apple's tracking policy significantly accelerates app update frequency, with developers increasing updates by 32.45% following policy announcement and 7 times more frequently after implementation. Cross-platform and cross-product knowledge flows moderate these effects, with advantages emerging during policy announcement but reversing during implementation phases. These findings demonstrate that appropriately designed platform governance can stimulate rather than stifle innovation through constraint-induced adaptation mechanisms, providing new insights into digital platform economics and implications for privacy policy design.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107298"},"PeriodicalIF":4.7000,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does digital platform governance improve process innovation? Evidence from Apple's tracking policies\",\"authors\":\"Wei Wu, Wei Han\",\"doi\":\"10.1016/j.econmod.2025.107298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates whether digital platform governance improves firms' process innovation, addressing gaps in understanding how platform policies influence innovation dynamics in digital markets. Existing literature predominantly focuses on static innovation measures, failing to capture the iterative nature of digital product development cycles. Using gaming app data from iOS and Android platforms across 60 countries from 2019 to 2022, we employ a difference-in-differences approach to examine Apple's privacy policy impact on process innovation. Our analysis reveals that Apple's tracking policy significantly accelerates app update frequency, with developers increasing updates by 32.45% following policy announcement and 7 times more frequently after implementation. Cross-platform and cross-product knowledge flows moderate these effects, with advantages emerging during policy announcement but reversing during implementation phases. These findings demonstrate that appropriately designed platform governance can stimulate rather than stifle innovation through constraint-induced adaptation mechanisms, providing new insights into digital platform economics and implications for privacy policy design.</div></div>\",\"PeriodicalId\":48419,\"journal\":{\"name\":\"Economic Modelling\",\"volume\":\"152 \",\"pages\":\"Article 107298\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Modelling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0264999325002937\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325002937","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Does digital platform governance improve process innovation? Evidence from Apple's tracking policies
This study investigates whether digital platform governance improves firms' process innovation, addressing gaps in understanding how platform policies influence innovation dynamics in digital markets. Existing literature predominantly focuses on static innovation measures, failing to capture the iterative nature of digital product development cycles. Using gaming app data from iOS and Android platforms across 60 countries from 2019 to 2022, we employ a difference-in-differences approach to examine Apple's privacy policy impact on process innovation. Our analysis reveals that Apple's tracking policy significantly accelerates app update frequency, with developers increasing updates by 32.45% following policy announcement and 7 times more frequently after implementation. Cross-platform and cross-product knowledge flows moderate these effects, with advantages emerging during policy announcement but reversing during implementation phases. These findings demonstrate that appropriately designed platform governance can stimulate rather than stifle innovation through constraint-induced adaptation mechanisms, providing new insights into digital platform economics and implications for privacy policy design.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.