Automation technologies and their impact on employment: A review, synthesis and future research agenda

被引:31
|
作者
Filippi, Emilia [1 ]
Banno, Mariasole [2 ]
Trento, Sandro [3 ]
机构
[1] Univ Trento, Doctoral Sch Social Sci, Via Verdi 26, I-38122 Trento, Italy
[2] Univ Brescia, Dept Mech & Ind Engn, Via Branze 38, I-25121 Brescia, Italy
[3] Univ Trento, Dept Econ & Management, Via Inama 5, I-38122 Trento, Italy
关键词
Automation; Employment; Probability of automation; Systematic literature review; ARTIFICIAL-INTELLIGENCE; BIBLIOMETRIC ANALYSIS; SKILL DEMAND; ROBOTS; PRODUCTIVITY; UNEMPLOYMENT; MANAGEMENT; DIFFUSION; KNOWLEDGE; GROWTH;
D O I
10.1016/j.techfore.2023.122448
中图分类号
F [经济];
学科分类号
02 ;
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.
引用
收藏
页数:21
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