Is College Education Less Necessary with AI? Evidence from Firm-Level Labor Structure Changes

IF 5.9 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Management Information Systems Pub Date : 2022-07-03 DOI:10.1080/07421222.2022.2096542
Mei Xue, Xing Cao, Xu Feng, Bin Gu, Yongjie Zhang
{"title":"Is College Education Less Necessary with AI? Evidence from Firm-Level Labor Structure Changes","authors":"Mei Xue, Xing Cao, Xu Feng, Bin Gu, Yongjie Zhang","doi":"10.1080/07421222.2022.2096542","DOIUrl":null,"url":null,"abstract":"ABSTRACT As a general-purpose technology, artificial intelligence (AI) is expected to transform almost all industries and aspects of our society. Thus, it is important to understand the potential changes within the firms related to how AI applications change their labor force. Using a panel dataset with over 1,300 publicly-traded companies in China from 2007 to 2018, we examine the relationship between AI applications and firm labor structure with workers with or without formal college education. The study indicates that AI applications were positively associated with the overall employment as well as the employment of nonacademically- trained workers with no college degrees at the firm level. These associations were more significant in the service sector than in the manufacturing sector. Further causal analysis shows increasing AI applications have a positive effect on a firm’s employment of nonacademically-trained workers and its overall employment but a negative effect on academically-trained workers. We attribute the findings to the technology deskilling effect of AI. The findings suggest that, in response to the potential labor force transformation with increasing AI applications, information-systems research needs to focus on structural changes of labor forces and the implications for preparing human employees to work with AI side by side.","PeriodicalId":50154,"journal":{"name":"Journal of Management Information Systems","volume":"39 1","pages":"865 - 905"},"PeriodicalIF":5.9000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Information Systems","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/07421222.2022.2096542","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 10

Abstract

ABSTRACT As a general-purpose technology, artificial intelligence (AI) is expected to transform almost all industries and aspects of our society. Thus, it is important to understand the potential changes within the firms related to how AI applications change their labor force. Using a panel dataset with over 1,300 publicly-traded companies in China from 2007 to 2018, we examine the relationship between AI applications and firm labor structure with workers with or without formal college education. The study indicates that AI applications were positively associated with the overall employment as well as the employment of nonacademically- trained workers with no college degrees at the firm level. These associations were more significant in the service sector than in the manufacturing sector. Further causal analysis shows increasing AI applications have a positive effect on a firm’s employment of nonacademically-trained workers and its overall employment but a negative effect on academically-trained workers. We attribute the findings to the technology deskilling effect of AI. The findings suggest that, in response to the potential labor force transformation with increasing AI applications, information-systems research needs to focus on structural changes of labor forces and the implications for preparing human employees to work with AI side by side.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能让大学教育变得不那么必要了吗?来自企业层面劳动力结构变化的证据
摘要作为一种通用技术,人工智能有望改变我们社会的几乎所有行业和方面。因此,了解企业内部与人工智能应用如何改变劳动力相关的潜在变化很重要。使用2007年至2018年中国1300多家上市公司的面板数据集,我们研究了人工智能应用程序与企业劳动力结构之间的关系,包括受过或没有受过正规大学教育的员工。研究表明,人工智能应用与整体就业以及没有大学学历的非学术培训工人的就业呈正相关。这些关联在服务业比在制造业更为重要。进一步的因果分析表明,人工智能应用的增加对公司雇佣未经学术培训的工人及其整体就业有积极影响,但对经过学术培训的员工有负面影响。我们将这些发现归因于人工智能的技术去计费效应。研究结果表明,为了应对人工智能应用不断增加带来的潜在劳动力转型,信息系统研究需要关注劳动力的结构变化,以及为人类员工与人工智能并肩工作做好准备的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Management Information Systems
Journal of Management Information Systems 工程技术-计算机:信息系统
CiteScore
10.20
自引率
13.00%
发文量
34
审稿时长
6 months
期刊介绍: Journal of Management Information Systems is a widely recognized forum for the presentation of research that advances the practice and understanding of organizational information systems. It serves those investigating new modes of information delivery and the changing landscape of information policy making, as well as practitioners and executives managing the information resource.
期刊最新文献
Enhancing Vulnerability Prioritization in Cloud Computing Using Multi-View Representation Learning Creating and Capturing Value with Physical-Digital Experiential Consumer Offerings Unintended Consequences of Disclosing Recommendations by Artificial Intelligence versus Humans on True and Fake News Believability and Engagement Board Interlocks with Information Technology Firms and Innovation Outcomes: A Resource Dependence Perspective Engagement and Crowding-Out Effects of Leaderboard Gamification on Medical Crowdfunding
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1