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

心理科学进展 ›› 2025, Vol. 33 ›› Issue (9): 1514-1525.doi: 10.3724/SP.J.1042.2025.1514 cstr: 32111.14.2025.1514

• 研究构想 • 上一篇    下一篇

年长员工数字技术工作不安全感的来源与影响后效

侯楠1, 高中华2, 杨皎平3, 李豪4()   

  1. 1首都经济贸易大学工商管理学院, 北京 100070
    2中国社会科学院工业经济研究所, 北京 100006
    3青岛科技大学经济与管理学院, 山东 青岛 266061
    4东北财经大学工商管理学院, 辽宁 大连 116024
  • 收稿日期:2024-05-23 出版日期:2025-09-15 发布日期:2025-06-26
  • 通讯作者: 李豪, E-mail: leo1223@126.com
  • 基金资助:
    国家自然科学基金项目(72302162);国家自然科学基金项目(72272148);中国社会科学院登峰战略企业管理优势学科建设项目(DF2023YS25)

Antecedents and consequences of digital technology-driven job insecurity among older workers

HOU Nan1, GAO Zhonghua2, YANG Jiaoping3, LI Hao4()   

  1. 1College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
    2Institute of Industrial Economics, Chinese Academy of Social Sciences, Beijing 100006, China
    3College of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061, China
    4School of Business Administration, Dongbei University of Finance and Economics, Dalian 116024, China
  • Received:2024-05-23 Online:2025-09-15 Published:2025-06-26

摘要:

数字化转型给企业运营管理带来新机遇的同时, 也催生了新的管理难题——年长员工数字鸿沟。面对快速更新迭代、高度复杂性的数字技术, 年长员工普遍存在适应困难, 甚至担心被数字技术替代, 引发数字技术工作不安全感。基于此, 本研究以“年长员工数字技术工作不安全感”为核心议题, 系统探究其诱发机制与影响后效。具体而言:第一, 从理论层面厘清年长员工数字技术工作不安全感的内涵和维度结构, 并开发测量工具; 第二, 基于个体−情境交互理论, 深入探讨老龄化数字技术能力刻板印象、数字技术积极态度和数字技术学习内驱力对年长员工数字技术工作不安全感的影响, 以及发展型人力资源管理实践在其中的边界作用; 第三, 以生命发展动机理论为基础, 分析年长员工数字技术工作不安全感对其行为表现的影响路径, 并探讨成长心态和组织数字技术支持的边界作用。本研究通过探究数字化情境下年长员工数字技术工作不安全感的概念和影响因素, 为应对数字化转型中的职场老龄化挑战提供了理论支持和实践指导。

关键词: 工作不安全感, 年长员工, 数字技术

Abstract:

While digital transformation offers new opportunities for enterprise operations management, it also presents a novel managerial challenge, that is the digital divide among older workers. As they age, older workers experience a gradual decline in learning ability and cognitive processing speed. Confronted with emerging digital technologies, they often perceive themselves as less adaptable and fear that their accumulated work experience may become obsolete. These concerns undermine their sense of job continuity and stability, leading to what is termed digital technology-driven job insecurity, which is referred to as digital technology-driven job insecurity among older workers. This form of job insecurity differs from traditional job insecurity, as it encompasses unique and complex conceptual implications, triggering factors, and influence mechanisms. However, existing research has yet to sufficiently explore the conceptual definition, measurement, and mechanisms of digital technology-driven job insecurity among older workers.

This study focuses on older workers (defined as individuals aged 40 and above who are currently employed) and introduces the concept of digital technology-driven job insecurity among older workers. Using a mixed-methods approach that integrates both qualitative and quantitative research, the study consists of three interconnected sub-studies: First, it explores the conceptual meaning and structural dimensions of digital technology-driven job insecurity among older workers and develops a reliable and valid measurement tool. Second, drawing on the theory of person-context interaction, it examines the interactive effects of individual characteristics and organizational situational factors on job insecurity. Finally, based on the motivational theory of life-span development, it analyzes the influence pathways and moderating effects of digital technology-driven job insecurity on later career behaviors among older workers.

This study defines digital technology-driven job insecurity among older workers as the perceived threat to job continuity and stability arising from concerns that the rapid application and iteration of digital technologies may outpace their ability to adapt, potentially rendering their accumulated experience obsolete. Its dimensions include digital technology adaptation job insecurity and experiential advantage substitution job insecurity. In prior research, we identified individual-level factors—such as age-related digital technology stereotypes, positive attitudes toward digital technologies, and intrinsic motivation for digital technology learning—that differentially affect older workers’ digital technology-driven job insecurity. At the situational level, developmental human resource management practices positively moderate these relationships. In outcome-based research, we found that digital technology-driven job insecurity weakens older workers’ developmental motivation, thereby diminishing their digital technology learning behaviors, while simultaneously stimulating their legacy motivation, which enhances intergenerational knowledge contribution behaviors. Furthermore, when older workers possess a higher growth mindset, the negative effects of digital technology-driven job insecurity are mitigated, and its positive effects are amplified. Similarly, when they perceive greater organizational support for digital technology, the negative impacts of digital technology-driven job insecurity are weakened, while its positive impacts are strengthened.

This study constructs a systematic theoretical model by exploring the conceptual connotations, triggering factors, and mechanisms of digital technology-driven job insecurity among older workers. The key innovations of the study are as follows: First, it introduces the conceptual framework of digital technology-driven job insecurity among older workers, uncovering its unique structural dimensions. This contribution not only enriches research on older workers in digital contexts but also addresses the gap in existing digital transformation studies regarding the work perceptions of older employees. Second, drawing on the theory of person-context interaction, the study comprehensively examines the antecedents of digital technology-driven job insecurity from both individual and situational perspectives, enhancing the theoretical understanding of its origins. Third, based on the motivational theory of life-span development, it investigates the dual motivational pathways through which digital technology-driven job insecurity influences later career behaviors among older workers, expanding research on the behavioral consequences of such insecurity. Overall, this study offers valuable insights for enterprises in addressing the digital divide among older workers and provides both theoretical foundations and practical guidance for strategic decisions related to workplace aging, ultimately fostering intergenerational collaboration and supporting sustainable development in the digital transformation process.

Key words: job insecurity, older worker, digital technology

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