自动化
斯科普斯
工作(物理)
情感(语言学)
新兴技术
业务
计算机科学
营销
数据科学
社会学
工程类
政治学
梅德林
人工智能
机械工程
沟通
法学
作者
Emilia Filippi,Mariasole Bannò,Sandro Trento
标识
DOI:10.1016/j.techfore.2023.122448
摘要
This paper aims to review prior studies investigating how automation technologies affect employment. Our structured systematic review resulted in 102 publications recovered from Web of Science, Scopus and hand searching. The literature investigating how automation technologies affect employment is extremely complex and detailed, given that the impact of automation is evaluated at different levels of analysis (i.e., global, international, continental, country, regional, labour market, industry, firm, occupational, worker, and work activities) by adopting alternative methods (i.e., estimating the probability of automation or the net impact of employment) and, for some levels of analysis, the impact of each specific type of automation technology is evaluated. Moreover, the results are often inconsistent and inconclusive since only few clear results emerge and the impact of automation technologies is unclear for many levels of analysis. Research gaps and future research agenda are identified and discussed based on previous evidence.
科研通智能强力驱动
Strongly Powered by AbleSci AI