{"title":"Beyond automation: The multifaceted impact of advanced digital technologies on employment dynamics","authors":"Hyunbae Chun , Donghan Shin","doi":"10.1016/j.respol.2025.105321","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the employment effects of the firm-level adoption of advanced digital technologies (ADTs), such as artificial intelligence, big data, cloud computing, and Internet of Things. In contrast to previous research that focuses on individual ADTs, we highlight the role of the simultaneous adoption of multiple ADTs and the motivations underlying this adoption. By integrating matched employer–employee data on job flows with firm-level ADT adoption records, we find that ADT adoption increases net job growth primarily by boosting new hires. This hiring-margin-driven employment effect remains consistent when ADTs are adopted in bundles or used for market creation (i.e., product and service development, sales, and marketing). Consequently, a positive employment effect is found only in the service sector, where multiple ADTs are more actively leveraged for market creation than in the manufacturing sector. Our results suggest that the reasons behind the contrasting empirical findings can be better understood by examining how firms practically utilize ADTs to enhance complementarities.</div></div>","PeriodicalId":48466,"journal":{"name":"Research Policy","volume":"54 10","pages":"Article 105321"},"PeriodicalIF":8.0000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Policy","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048733325001507","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the employment effects of the firm-level adoption of advanced digital technologies (ADTs), such as artificial intelligence, big data, cloud computing, and Internet of Things. In contrast to previous research that focuses on individual ADTs, we highlight the role of the simultaneous adoption of multiple ADTs and the motivations underlying this adoption. By integrating matched employer–employee data on job flows with firm-level ADT adoption records, we find that ADT adoption increases net job growth primarily by boosting new hires. This hiring-margin-driven employment effect remains consistent when ADTs are adopted in bundles or used for market creation (i.e., product and service development, sales, and marketing). Consequently, a positive employment effect is found only in the service sector, where multiple ADTs are more actively leveraged for market creation than in the manufacturing sector. Our results suggest that the reasons behind the contrasting empirical findings can be better understood by examining how firms practically utilize ADTs to enhance complementarities.
期刊介绍:
Research Policy (RP) articles explore the interaction between innovation, technology, or research, and economic, social, political, and organizational processes, both empirically and theoretically. All RP papers are expected to provide insights with implications for policy or management.
Research Policy (RP) is a multidisciplinary journal focused on analyzing, understanding, and effectively addressing the challenges posed by innovation, technology, R&D, and science. This includes activities related to knowledge creation, diffusion, acquisition, and exploitation in the form of new or improved products, processes, or services, across economic, policy, management, organizational, and environmental dimensions.