{"title":"A Network Analysis of the Relationship Between Automation and Job Characteristics","authors":"Eunsoo Lee, Hyojin Kim, Sehee Hong","doi":"10.1177/09717218241265004","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to identify core occupational characteristics that affect the potential for a job to be automated and to reveal the relationship and paths between those characteristics, such as skill(s), work environment and knowledge. In this study, a network was estimated and visualised to identify the relationship between occupational characteristics using the Gaussian graphical model method and to reveal the occupational characteristics linked to the potential for automation variable. As a result of estimating and visualising the network, it was found that the occupational characteristics with low potential for automation were art, decision-making, assisting and caring for others and working in cramped spaces, while those with high potential for automation involved repeating the same tasks. Furthermore, after analysing the shortest paths from each occupational characteristic node to the automation node, it was revealed that even occupational characteristics with high potential for automation can have varying levels of automation possibility depending on the mediators. Based on the results, education and vocational training policies for low- and middle-skill workers, young workers and potential workers are suggested.","PeriodicalId":45432,"journal":{"name":"Science Technology and Society","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Technology and Society","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/09717218241265004","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this study is to identify core occupational characteristics that affect the potential for a job to be automated and to reveal the relationship and paths between those characteristics, such as skill(s), work environment and knowledge. In this study, a network was estimated and visualised to identify the relationship between occupational characteristics using the Gaussian graphical model method and to reveal the occupational characteristics linked to the potential for automation variable. As a result of estimating and visualising the network, it was found that the occupational characteristics with low potential for automation were art, decision-making, assisting and caring for others and working in cramped spaces, while those with high potential for automation involved repeating the same tasks. Furthermore, after analysing the shortest paths from each occupational characteristic node to the automation node, it was revealed that even occupational characteristics with high potential for automation can have varying levels of automation possibility depending on the mediators. Based on the results, education and vocational training policies for low- and middle-skill workers, young workers and potential workers are suggested.
期刊介绍:
Science, Technology and Society is an international journal devoted to the study of science and technology in social context. It focuses on the way in which advances in science and technology influence society and vice versa. It is a peer-reviewed journal that takes an interdisciplinary perspective, encouraging analyses whose approaches are drawn from a variety of disciplines such as history, sociology, philosophy, economics, political science and international relations, science policy involving innovation, foresight studies involving science and technology, technology management, environmental studies, energy studies and gender studies. The journal consciously endeavors to combine scholarly perspectives relevant to academic research and policy issues relating to development. Besides research articles the journal encourages research-based country reports, commentaries and book reviews.