How does leadership AI awareness shape employee voice behavior? A study based on the framework of hindrance and challenge stressors.

Background: The rapid advancement of Artificial Intelligence (AI) is driving transformative changes across various sectors, reshaping organizational management models and altering work dynamics for employees. Objective: This study employs the framework of hindrance and challenge stressors to examine...

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Publicado en:Work Vol. 82; no. 1; pp. 289 - 306
Autores principales: Zhou, Yue, Lyu, Bei
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. Sep2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: How does leadership AI awareness shape employee voice behavior? A study based on the framework of hindrance and challenge stressors.
      aug:
        au:
          Zhou, Yue
          Lyu, Bei
        affil: School of Management, Suzhou University, Suzhou, People's Republic of China
      sug:
        subj:
          Leadership
          Artificial Intelligence
          Employee Attitudes
          Conceptual Framework
          Human China
          China
          Funding Source
          Descriptive Statistics
          Surveys
          Stress, Occupational
          Job Security
          Motivation
          Male
          Female
          Adult
          Adult: 19-44 years
          Male
          Female
      ab: Background: The rapid advancement of Artificial Intelligence (AI) is driving transformative changes across various sectors, reshaping organizational management models and altering work dynamics for employees. Objective: This study employs the framework of hindrance and challenge stressors to examine the impact of leadership AI awareness on employees' voice behavior (VB). Methods: We analyzed survey data from 487 employees in knowledge-intensive industries across China. Results: Leadership AI awareness, under hindering stressors, positively correlates with employees' job insecurity (JI), which inversely affects their VB; JI acts as a mediator. Conversely, under challenging stressors, leadership AI awareness enhances employees' intrinsic motivation, which positively correlates with VB. Intrinsic motivation also mediates this relationship. Additionally, AI self-efficacy moderates the influence of leadership AI awareness on employees' VB. Conclusions: This study elucidates a dual-path mechanism through which leadership AI awareness affects employees' VB and delineates the boundary conditions for this influence. The findings offer managerial insights for stimulating employees' VB amidst AI integration in the workplace.
      pubtype: Academic Journal
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        tables/charts
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      ougenre: Article
    language: English
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