上海大学学报(社会科学版) ›› 2025, Vol. 42 ›› Issue (3): 144-160.

• • 上一篇    

组织员工应对颠覆性信息技术策略研究——基于fsQCA方法的组态分析

  

  1. 上海大学 管理学院
  • 出版日期:2025-05-15 发布日期:2025-05-26
  • 基金资助:

    国家自然科学基金面上项目(72471136);

    上海市哲学社会科学规划课题(2023BGL011);

    国家自然科学基金国际合作与交流项目(72261160394)

Examining Organizational Employees’Coping Strategies for Disruptive Information Technology: A Configuration Analysis Based on fsQCA

  1. School of Management, Shanghai University
  • Online:2025-05-15 Published:2025-05-26

摘要:

将颠覆性信息技术引入工作场所往往会在员工中引起广泛的反应,表现为主动参与或逃避应对,然而现有文献缺乏对员工应对策略先决条件的深刻理解,且存在研究结论不一致的问题。可基于应对理论与事件系统理论视角,构建员工在颠覆性信息技术情景下的应对策略影响机制模型,并采用模糊集定性比较分析方法开展实证研究。研究发现,在颠覆性信息技术情境下,四类构型可实现高主动型应对策略,三类构型导致高回避型应对策略,且不同路径中构成要素存在替代或互补关系。研究结论不仅为解释组织员工应对颠覆性信息技术行为提供了新的视角,也为组织技术变革的成功实施与技术平台优化工具的设计提供了理论指导。

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Abstract:

The introduction of disruptive information technology into the workplace often triggers a broad spectrum of employee reactions, ranging from proactive engagement to avoidance responses. However, existing literature lacks a profound understanding of the antecedents underlying employee coping strategies, and research findings on this topic remain inconsistent. Based on the perspectives of coping theory and event system theory, a model of the impact mechanism of employees’coping strategies in the context of disruptive information technology has been constructed. Using fuzzy-set qualitative comparative analysis (fsQCA) on

survey data from 336 workers at 163 universities, the empirical results show that, under disruptive information technology contexts, four types of configurations lead to high levels of proactive coping strategies, while three types of configurations result in high levels of avoidance strategies. Moreover, in different paths, certain factors either substitute for or complement one another. These findings not only provide a novel perspective on how organizational employees respond to disruptive information technology but also offer theoretical guidance for the successful implementation of organizational technological change and the design of optimization tools for technological platforms.

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