{"title":"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","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":"{\"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}","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}
Task supported or task decision-making? Which AI workplace enhances employee AI identity more in manufacturing enterprise
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.
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.