تحلیل روانشناختی - فرهنگی عوامل مؤثر بر فرسودگی شغلی زنان در عصر هوش مصنوعی
محورهای موضوعی : روان شناسی
1 - دانشیار، گروه مدیریت، پژوهشکده مطالعات راهبردی، تهران، ایران
کلید واژه: فرسودگی شغلی, هوش مصنوعی, عوامل روانشناختی,
چکیده مقاله :
هدف پژوهش حاضر، تحلیل روانشناختی - فرهنگی عوامل مؤثر بر فرسودگی شغلی زنان در عصر هوش مصنوعی بود. جامعه پژوهش شامل تمامی متون علمیپژوهشی، گزارشهای بینالمللی و مقالات معتبر مرتبط با فرسودگی شغلی، زنان شاغل، هوش مصنوعی، و روانشناسی فرهنگی بود که از سال ۲۰۲۱ تا 2025 منتشر شدند. نمونه پژوهش بهصورت هدفمند از میان متون مرتبط انتخاب شد. روش پژوهش توصیفی - تحلیلی و مبتنی بر مرور نظاممند متون علمی منتشرشده بود. گردآوری دادهها از طریق جستجو در پایگاههای علمی معتبر مانند اسکوپوس، وب اف ساینس و گوگل اسکولار انجام شد. یافتهها نشان داد فرسودگی شغلی زنان نتیجه تعامل پیچیده میان عوامل روانشناختی و فرهنگی است. همچنین ده عامل اصلی شناساییشده شامل شکاف دسترسی به فناوری، نگرانی از امنیت شغلی، فشار یادگیری مستمر، نظارت الگوریتمی، اختلال توازن کار - زندگی، تبعیض الگوریتمی، طوفان دادهای، تنهایی دیجیتال، دام بهرهوری مصنوعی، و شکاف جنسیتی در فرسودگی شغلی به دست آمد. در نهایت تحلیل یافتهها بر پایه نظریه حفظ منابع (هابفال، ۱۹۸۹) و مدل الزامات - منابع شغلی (بیکر و دمروتی، ۲۰۰۷) نشان داد افزایش الزامات فناورانه بدون منابع حمایتی کافی موجب تحلیل مستمر منابع روانشناختی زنان میشود. بر اساس نتایج، برای کاهش فرسودگی شغلی زنان در عصر هوش مصنوعی، مداخلات چندسطحی در سطوح فردی، سازمانی و فرهنگی ضرورت دارد.
The aim of the present study was to analyze the psychological-cultural determinants affecting women's job burnout in the age of artificial intelligence. The research universe enfolded all scientific research texts, international reports, and authoritative articles related to job burnout, working women, artificial intelligence, and cultural psychology that were published from 2021 to 2025. The research sample was selected via purposive sampling procedure from the relevant texts. The research method was descriptive-analytical and based on a systematic review of published scientific texts. Data collection was carried out through searches in authoritative scientific databases such as Scopus, Web of Science, and Google Scholar. The results revealed that women's job burnout is the result of a complicated interaction between psychological and cultural factors. Also, ten main factors identified included the technology access gap, job security concerns, continuous learning pressure, algorithmic surveillance, work-life balance disorder, algorithmic discrimination, data storm, digital exclusiveness, spurious productivity trap, and gender gap in job burnout. Finally, the analysis of the findings based on the conservation of resources theory (Hubfall, 1989) and the job requirements-resources model (Baker and Demrotti, 2007) indicated that increasing technological requirements without adequate support resources lead to a continuous depletion of women's psychological resources. Based on the results, multi-level interventions are necessary at the individual, organizational, and cultural levels to reduce women's job burnout in the age of artificial intelligence.
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