企业数字责任感知调节下人工智能使用对员工责任式创新的双路径机制
The Dual-Path Mechanism of Artificial Intelligence Use on Employee Responsible Innovation: The Moderating Role of Perceived Corporate Digital Responsibility
赵泽楷 1周勇1
作者信息
- 1. 武汉科技大学管理学院，湖北武汉 430065
- 折叠
摘要
围绕生成式人工智能进入工作场景后可能带来的赋能与负担，本文结合资源保存理论和技术压力理论，考察人工智能使用如何影响员工责任式创新。研究将角色宽度自我效能感和技术复杂性纳入同一分析框架，并引入企业数字责任感知作为情境变量。基于235份企业员工问卷数据的检验发现：人工智能使用与员工责任式创新呈显著正向关系；角色宽度自我效能感构成其中的正向传导路径；与原有理论判断不同，人工智能使用并未提高技术复杂性，反而显著降低员工的复杂性感知，并由此形成促进责任式创新的"复杂性缓解"路径。该发现提示，在生成式人工智能情境中，自然语言交互、任务协助和知识整合等特征可能削弱员工的技术适应负担。进一步分析表明，企业数字责任感知会增强人工智能使用对角色宽度自我效能感的促进作用，但在人工智能使用影响技术复杂性的过程中呈现不同的边界效应。本文据此补充了生成式人工智能影响员工责任式创新的作用路径，也为重新理解人工智能情境下的技术复杂性提供了经验依据。
Abstract
Focusing on the empowerment and burden that may arise after generative artificial intelligence enters workplace contexts, this study draws on conservation of resources theory and technostress theory to examine how artificial intelligence use affects employees\' responsible innovation. This study incorporates role breadth self-efficacy and technological complexity into a unified analytical framework and introduces perceived corporate digital responsibility as a contextual variable. Based on questionnaire data from 235 enterprise employees, the results show that artificial intelligence use is significantly and positively related to employees\' responsible innovation; role breadth self-efficacy serves as a positive transmission pathway in this relationship. Contrary to the original theoretical expectation, artificial intelligence use does not increase technological complexity but instead significantly reduces employees\' perceived complexity, thereby forming a "complexity alleviation" pathway that promotes responsible innovation. This finding suggests that, in the context of generative artificial intelligence, features such as natural language interaction, task assistance, and knowledge integration may weaken employees\' burden of technological adaptation. Further analysis shows that perceived corporate digital responsibility strengthens the positive effect of artificial intelligence use on role breadth self-efficacy, but presents a different boundary effect in the process through which artificial intelligence use influences technological complexity. Accordingly, this study supplements the mechanism through which generative artificial intelligence affects employees\' responsible innovation and provides empirical evidence for reinterpreting technological complexity in the context of artificial intelligence.关键词
企业管理/人工智能使用/角色宽度自我效能感/技术复杂性/企业数字责任感知/员工责任式创新Key words
Enterprise Management/Artificial Intelligence Use/Role Breadth Self-Efficacy/Technological Complexity/Perceived Corporate Digital Responsibility/Employees\' Responsible Innovation引用本文复制引用
赵泽楷,周勇.企业数字责任感知调节下人工智能使用对员工责任式创新的双路径机制[EB/OL].(2026-10-16)[2026-10-18].http://www.paper.edu.cn/releasepaper/content/202610-6.学科分类
经济计划、经济管理
