信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2026, Vol. 52 ›› Issue (1): 59-67.doi: 10.12267/j.issn.2096-5931.2026.01.008

产业与政策 上一篇    下一篇

人工智能时代领导力数字化转型的驱动因素:基于技术接受模型的研究

Driving factors for digital transformation of leadership in the AI era: research based on technology acceptance model

张斌1,2   

  1. 1.哈尔滨工程大学经济管理学院,哈尔滨 150001
    2.中舶云链(山东)智能科技有限公司,烟台 264000
  • 收稿日期:2025-06-18 出版日期:2026-01-25 发布日期:2026-01-28
  • 作者简介:
    张斌, 哈尔滨工程大学经济管理学院硕士研究生在读,中舶云链(山东)智能科技有限公司副总经理,主要从事大数据价值挖掘与企业数字化战略重构等工作

ZHANG Bin1,2   

  1. 1. School of Economics and Management, Harbin Engineering University, Harbin 150001, China
    2. Zhongbo Cloud Chain (Shandong) Intelligent Technology Co., Ltd., Yantai 264000, China
  • Received:2025-06-18 Online:2026-01-25 Published:2026-01-28

摘要:

基于技术接受模型,结合理论分析与实证研究探究了人工智能时代领导力数字化转型的驱动因素及作用机制。研究发现,领导者的技术接受度呈现显著层级差异。高层管理者更关注技术的战略价值,中层管理者注重技术落地的可行性,基层管理者则更依赖组织支持。通过结构方程模型验证,技术基础设施和行业竞争压力是领导力数字化转型的核心驱动因素,而客户需求变化的影响未达显著水平。研究表明,强化感知有用性和感知易用性,可有效提升领导力数字化转型的效率,为数字化领导力的动态演进提供理论支撑与实施框架。

关键词: 数字化转型, 技术接受模型, 人工智能, 领导力分层

Abstract:

Based on the technology acceptance model, this study explores the driving factors and mechanisms of digital leadership transformation in the era of artificial intelligence through theoretical analysis and empirical research. Research has found that leaders exhibit significant hierarchical differences in their acceptance of technology. Senior managers are more concerned with the strategic value of technology, mid-level managers focus on the feasibility of technology implementation, and grassroots managers rely more on organizational support. Through structural equation modeling verification, it was found that technological infrastructure and industry competitive pressure are the core driving factors, while the impact of changes in customer demand did not reach a significant level. Research has shown that enhancing perceived usefulness and perceived ease of use can effectively improve the efficiency of digital leadership transformation, providing theoretical support and implementation framework for the dynamic evolution of digital leadership.

Key words: digital transformation, technology acceptance model, artificial intelligence, leadership stratification

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