ISSN 1671-3710
CN 11-4766/R
主办：中国科学院心理研究所
出版：科学出版社

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员工人工智能求助策略的人际导向：类型、形成与影响

陈科宇, 周琦玮, 李倩   

  1. 对外经济贸易大学国际商学院, 北京 100029 中国
    中国海洋大学管理学院；创新创业研究中心, 山东 266100 中国
    北京外国语大学国际商学院, 北京 100089 中国
  • 收稿日期:2026-06-15 修回日期:2026-08-12 接受日期:2026-08-25
  • 基金资助:
    国家自然科学基金项目(72572019); 国家自然科学基金项目(72502045); 国家自然科学基金项目(72202012); 山东省泰山青年基金(tsqn202312098); 山东省自然科学基金(ZR2024QG088); 对外经济贸易大学中央高校基本科研业务费专项资金资助(24QD22)

Employees' interpersonally oriented AI help-seeking strategies: Types, formation, and effects

CHEN Keyu, ZHOU Qiwei, LI Qian   

  1. Business School, University of International Business Economics 100029, China
    College of Management; Innovation and Entrepreneurship Research Center, Ocean University of China 266100, China
    International Business School, Beijing Foreign Studies University 100089, China
  • Received:2026-06-15 Revised:2026-08-12 Accepted:2026-08-25
  • Supported by:
    National Natural Science Foundation of China(72572019); National Natural Science Foundation of China(72502045); National Natural Science Foundation of China(72202012); Funding of Taishan Young Scholars Project of Shandong Province(tsqn202312098); Shandong Natural Science Foundation(ZR2024QG088); "the Fundamental Research Funds for the Central Universities" in UIBE(24QD22)

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摘要： 职场求助是员工解决工作问题和维系人际关系的重要行为，对组织发展具有关键意义。随着人工智能（Artificial Intelligence，以下简称AI）逐渐成为员工新的求助对象，员工如何在AI求助与同事求助之间进行策略性配置，已成为亟待探讨的重要问题。围绕员工如何主动利用AI重塑人际求助关系，本研究提出员工AI求助策略的人际导向理论框架，区分整合AI求助与同事求助以追求人际收益的“人际促进型AI求助策略”，以及用AI求助替代或减少同事求助以规避人际风险的“人际防御型AI求助策略”。在此基础上，本研究进一步从概念内涵与测量、形成机制、求助者后果和同事反应四个方面展开研究构想，系统解释两类策略如何形成，并如何影响员工自身及作为潜在求助对象的同事。研究预期将职场求助研究从传统人际互动拓展到AI介入下求助者、AI和同事的三元关系，揭示员工利用AI调整人际互动边界的新机制，并为组织引导员工合理配置AI求助与同事求助提供实践启示。

关键词: 求助行为, 人工智能, 人际促进型AI求助策略, 人际防御型AI求助策略

Abstract: Workplace help-seeking is an important behavior through which employees solve work-related problems and maintain interpersonal relationships, carrying critical implications for organizational functioning. As artificial intelligence (AI) increasingly becomes a new source of help at work, how employees strategically use AI help-seeking to complement or displace help-seeking from coworkers has emerged as an important yet underexplored question. Focusing on how employees actively leverage AI to reshape interpersonal help-seeking relationships, this research proposes a theoretical framework of employees' interpersonally oriented AI help-seeking strategies. Specifically, it distinguishes between an interpersonal promotion-oriented AI help-seeking strategy, which integrates AI help-seeking with help-seeking from coworkers to pursue interpersonal gains, and an interpersonal prevention-oriented AI help-seeking strategy, which uses AI help-seeking to replace or reduce help-seeking from coworkers to avoid interpersonal risks. Building on this framework, this research develops a research agenda around four aspects: conceptual content and measurement, formation mechanisms, help-seeker outcomes, and coworker responses. It systematically explains how the two strategies emerge and how they influence both employees themselves and coworkers as potential help-seeking targets. The proposed framework is expected to extend workplace help-seeking research beyond traditional interpersonal interactions to encompass an AI-enabled triadic relationship involving help seekers, AI, and coworkers, reveal a new mechanism through which employees use AI to adjust the boundaries of interpersonal interaction, and offer practical implications for organizations seeking to guide employees in appropriately aligning AI help-seeking with help-seeking from coworkers.

Key words: help-seeking behavior, artificial intelligence, interpersonal promotion-oriented AI help-seeking strategy, interpersonal prevention-oriented AI help-seeking strategy