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<p>Artificial intelligence (AI) is an underexplored area in studying psychopathy traits. This research aims to investigate the role of AI assistants in moderating the link between psychopathy, self-efficacy, and innovative job performance. The study also emphasizes the mediating role of self-efficacy, challenging the typically negative relationship between psychopathy and innovation. We adopted a methodology using multi-wave, multi-level (individual and group), multi-method (survey and experiment), and multi-sourced (self, peer, and manager ratings) data. The findings reveal that AI assistants are crucial in strengthening the relationship between psychopathy and self-efficacy. Specifically, study 1 (survey) data included 506 employees and 80 managers across 29 service-oriented companies in Pakistan. Study 1 supports the hypothesis that psychopathy positively influences innovative job performance through self-efficacy, with AI assistants serving as moderators in this dynamic. In contrast, this effect is diminished in the absence of AI assistants. Additionally, low levels of psychopathy show reduced effects across both AI assistant conditions. Study 2 (experiment, 2 × 3 factorial design) collected data from 72 MBA students, again demonstrating that the presence of AI assistants enhances the positive impact of psychopathy on self-efficacy and subsequent innovative performance outcomes. SPSS and AMOS were used for data analysis, and Smart PLS was used for structural equational modeling. Our results robustly validate the proposed model, emphasizing the constructive influence of psychopathy within organizational contexts.</p>

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AI-powered solutions: innovating performance dynamics of psychopaths through AI assistants and self-efficacy

  • 期刊论文

  • 发表日期：

    2025年2月1日

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  • Sajida Hafeez,
  • Faisal Qadeer,
  • Albert John,
  • Asif Iqbal

摘要

Artificial intelligence (AI) is an underexplored area in studying psychopathy traits. This research aims to investigate the role of AI assistants in moderating the link between psychopathy, self-efficacy, and innovative job performance. The study also emphasizes the mediating role of self-efficacy, challenging the typically negative relationship between psychopathy and innovation. We adopted a methodology using multi-wave, multi-level (individual and group), multi-method (survey and experiment), and multi-sourced (self, peer, and manager ratings) data. The findings reveal that AI assistants are crucial in strengthening the relationship between psychopathy and self-efficacy. Specifically, study 1 (survey) data included 506 employees and 80 managers across 29 service-oriented companies in Pakistan. Study 1 supports the hypothesis that psychopathy positively influences innovative job performance through self-efficacy, with AI assistants serving as moderators in this dynamic. In contrast, this effect is diminished in the absence of AI assistants. Additionally, low levels of psychopathy show reduced effects across both AI assistant conditions. Study 2 (experiment, 2 × 3 factorial design) collected data from 72 MBA students, again demonstrating that the presence of AI assistants enhances the positive impact of psychopathy on self-efficacy and subsequent innovative performance outcomes. SPSS and AMOS were used for data analysis, and Smart PLS was used for structural equational modeling. Our results robustly validate the proposed model, emphasizing the constructive influence of psychopathy within organizational contexts.