Task supported or task decision-making? Which AI workplace enhances employee AI identity more in manufacturing enterprise

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society Pub Date : 2025-06-27 DOI:10.1016/j.techsoc.2025.103006

Min Qin , Shanshan Qiu , Jian Mou

{"title":"Task supported or task decision-making? Which AI workplace enhances employee AI identity more in manufacturing enterprise","authors":"Min Qin , Shanshan Qiu , Jian Mou","doi":"10.1016/j.techsoc.2025.103006","DOIUrl":null,"url":null,"abstract":"<div><div>In manufacturing enterprises, many workplaces incorporate artificial intelligence (AI), employee use of AI has a significant impact on productivity. Employee AI identity varies across different AI-based workplaces, which are characterized by the presence of AI and employee-AI collaboration. This research categorizes AI workplaces into two types: task-supported AI workplaces (TSAIWs), where employees lead the core tasks, and task-decision-making AI workplaces (TDAIWs), where AI leads the core tasks. It further explores how these AI workplace types influence employee AI identity, along with the mediating and moderating effects involved. Based on data collected from 389 employees in a Chinese pharmaceutical manufacturing enterprise, the results show that employee AI identity is more strongly developed in TDAIWs than in TSAIWs. Moreover, employee - AI task fit partially mediates the relationship between AI workplace type and employee AI identity, while employee work experience positively moderates the effect of AI workplace type on employee-AI task fit. This research contributes to the development of AI identity theory and provides practical recommendations for enhancing employee-AI collaboration in enterprises.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103006"},"PeriodicalIF":12.5000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25001964","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}

引用次数: 0

Abstract

In manufacturing enterprises, many workplaces incorporate artificial intelligence (AI), employee use of AI has a significant impact on productivity. Employee AI identity varies across different AI-based workplaces, which are characterized by the presence of AI and employee-AI collaboration. This research categorizes AI workplaces into two types: task-supported AI workplaces (TSAIWs), where employees lead the core tasks, and task-decision-making AI workplaces (TDAIWs), where AI leads the core tasks. It further explores how these AI workplace types influence employee AI identity, along with the mediating and moderating effects involved. Based on data collected from 389 employees in a Chinese pharmaceutical manufacturing enterprise, the results show that employee AI identity is more strongly developed in TDAIWs than in TSAIWs. Moreover, employee - AI task fit partially mediates the relationship between AI workplace type and employee AI identity, while employee work experience positively moderates the effect of AI workplace type on employee-AI task fit. This research contributes to the development of AI identity theory and provides practical recommendations for enhancing employee-AI collaboration in enterprises.

查看原文本刊更多论文

任务支持还是任务决策？制造企业哪个AI工作场所更能提升员工的AI认同感

在制造企业中，许多工作场所都采用了人工智能（AI），员工对AI的使用对生产力产生了重大影响。在不同的基于人工智能的工作场所，员工的人工智能身份各不相同，这些工作场所的特点是人工智能的存在和员工与人工智能的协作。该研究将人工智能工作场所分为两类：由员工主导核心任务的任务支持型人工智能工作场所（taiws）和由人工智能主导核心任务的任务决策型人工智能工作场所（TDAIWs）。它进一步探讨了这些人工智能工作场所类型如何影响员工的人工智能身份，以及所涉及的中介和调节效应。基于对中国某制药企业389名员工的数据收集，结果表明，员工AI认同在tdaiw中比在tsaiw中发展得更强。此外，员工-人工智能任务契合度部分中介了人工智能工作场所类型与员工人工智能身份的关系，而员工工作经验正调节了人工智能工作场所类型对员工-人工智能任务契合度的影响。本研究有助于人工智能同一性理论的发展，并为加强企业员工与人工智能的协作提供实用建议。

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

Technology in Society Multiple-

CiteScore

17.90

自引率

14.10%

发文量

316

审稿时长

60 days

期刊介绍： Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.