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<p>This study investigates the impact of job autonomy–technology collaboration and digital disruption on job insecurity and employee sleep health in the aviation industry, with emotional intelligence (EI) examined as a moderating factor. Grounded in the Conservation of Resources (COR) theory, the research adopts a cross-sectional survey design involving 567 commercial airline employees in Ghana who engage with artificial intelligence (AI) technologies. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that job autonomy–technology collaboration and digital disruption significantly increase job insecurity, which, in turn, predicts sleeping disorders. However, EI significantly moderates these relationships by reducing job insecurity and attenuating its adverse effect on sleep health. These findings highlight a nuanced resource–demand paradox, where autonomy in technology-intensive settings can shift from a protective resource to a stress-inducing demand. While previous studies have examined job autonomy and digital transformation separately, this study uniquely integrates technology, health, and emotional regulation perspectives within the aviation context. The study underscores the need for organisations to incorporate EI training, digital adaptability programs, and health-supportive interventions to manage job insecurity and its health consequences amid ongoing digital disruption.</p>

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Job autonomy-technology collaboration and digital disruption on job insecurity and its implication on employee health in aviation industry: moderation effect of emotional intelligence

  • 期刊论文

  • 发表日期：

    2026年1月19日

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  • Philip Siaw Kissi,
  • Opoku Gyabaah,
  • Vera Ami Ayitey

摘要

This study investigates the impact of job autonomy–technology collaboration and digital disruption on job insecurity and employee sleep health in the aviation industry, with emotional intelligence (EI) examined as a moderating factor. Grounded in the Conservation of Resources (COR) theory, the research adopts a cross-sectional survey design involving 567 commercial airline employees in Ghana who engage with artificial intelligence (AI) technologies. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that job autonomy–technology collaboration and digital disruption significantly increase job insecurity, which, in turn, predicts sleeping disorders. However, EI significantly moderates these relationships by reducing job insecurity and attenuating its adverse effect on sleep health. These findings highlight a nuanced resource–demand paradox, where autonomy in technology-intensive settings can shift from a protective resource to a stress-inducing demand. While previous studies have examined job autonomy and digital transformation separately, this study uniquely integrates technology, health, and emotional regulation perspectives within the aviation context. The study underscores the need for organisations to incorporate EI training, digital adaptability programs, and health-supportive interventions to manage job insecurity and its health consequences amid ongoing digital disruption.