Hybrid Workforce: Competences for Effective Collaboration Between Employees and Software Robots

IF 4.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Damian Kedziora;Marta Juszczyk;Agnieszka Leśniewska
{"title":"Hybrid Workforce: Competences for Effective Collaboration Between Employees and Software Robots","authors":"Damian Kedziora;Marta Juszczyk;Agnieszka Leśniewska","doi":"10.1109/THMS.2026.3663559","DOIUrl":null,"url":null,"abstract":"Automation of mundane and manual office work has been intensively growing in importance at various organizations. Our multimethod case study at a large insurance enterprise examined the organization of hybrid workplaces, employee perceptions of digital teammates, team changes after robot introduction, and differences in social and personal competencies between hybrid teams (human–robot) and traditional teams (human-only). Key findings reveal that employees perceive lower importance for statistically significant competencies in hybrid teams, with social competencies showing the largest decrease. Despite expectations of upskilling, certain competencies like decision-making and innovation decreased in perceived importance as robots assumed routine responsibilities. The article provides a task-value flow model for hybrid teams and practical guidance for competence management in semiautomated environments.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"56 2","pages":"194-202"},"PeriodicalIF":4.4000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11420831","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Human-Machine Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11420831/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/3 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Automation of mundane and manual office work has been intensively growing in importance at various organizations. Our multimethod case study at a large insurance enterprise examined the organization of hybrid workplaces, employee perceptions of digital teammates, team changes after robot introduction, and differences in social and personal competencies between hybrid teams (human–robot) and traditional teams (human-only). Key findings reveal that employees perceive lower importance for statistically significant competencies in hybrid teams, with social competencies showing the largest decrease. Despite expectations of upskilling, certain competencies like decision-making and innovation decreased in perceived importance as robots assumed routine responsibilities. The article provides a task-value flow model for hybrid teams and practical guidance for competence management in semiautomated environments.
混合劳动力:员工和软件机器人之间有效协作的能力
在各种组织中,日常的和手工的办公室工作的自动化已经变得越来越重要。我们在一家大型保险企业进行了多方法案例研究,研究了混合工作场所的组织结构、员工对数字化团队的看法、引入机器人后的团队变化,以及混合团队(人机)和传统团队(只有人类)在社交和个人能力方面的差异。主要研究结果显示,在混合团队中,员工认为具有统计意义的能力的重要性较低,其中社交能力的下降幅度最大。尽管人们期望提高技能,但由于机器人承担了日常职责,决策和创新等某些能力的重要性有所下降。本文为混合团队提供了一个任务-价值流模型,并为半自动化环境中的能力管理提供了实践指导。
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 求助全文
来源期刊
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Human-Machine Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
7.10
自引率
11.10%
发文量
136
期刊介绍: The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书