NODAVLAT OLIY TA’LIM TASHKILOTLARIDA RAQAMLI HR-ANALITIKA TIZIMLARINING IQTISODIY QIYMAT YARATISH MEXANIZMI: NAZARIY YONDASHUVLAR VA ILMIY BO‘SHLIQ

Sardor Sattorov; Isomiddin Yuldashov

doi:10.5281/zenodo.21936810

Authors

Sardor Sattorov O‘zbekiston Respublikasi Oliy ta’lim, fan va innovatsiyalar vazirligi, Inson resurslarini rivojlantirish va boshqarish boshqarmasi yetakchi mutaxassisi. Author https://orcid.org/0009-0001-9608-2623
Isomiddin Yuldashov Iqtisodiyot fanlari bo‘yicha falsafa doktori (PhD), dotsent, Oriental universiteti rektor maslahatchisi. Author https://orcid.org/0009-0005-9704-5516

DOI:

https://doi.org/10.5281/zenodo.21936810

Keywords:

raqamli HR-analitika, people analytics, nodavlat oliy ta’lim, inson kapitali, iqtisodiy samaradorlik, ma’lumotlar sifati, raqamli yetuklik, turnover, data-driven boshqaruv, ISO 30414.

Abstract

Maqolada nodavlat oliy ta’lim tashkilotlarida raqamli HR-analitika tizimlarining iqtisodiy mazmuni, qiymat yaratish kanallari va ushbu yo‘nalishdagi ilmiy izlanishlarning rivojlanish tendensiyalari tizimli ravishda yoritilgan. Tadqiqotning maqsadi HRIS, ERP, HEMIS, LMS, ish haqi, o‘quv yuklamasi, ilmiy faoliyat hamda xodimlar harakati ma’lumotlarini yagona analitik konturga birlashtirish asosida boshqaruv xarajatlari, mehnat unumdorligi, rekrutment sifati, professor-o‘qituvchilar qo‘nimsizligi va qaror qabul qilish tezligiga ta’sir etuvchi mexanizmlarni aniqlashtirishdan iborat. Integrativ adabiyotlar sharhi doirasida 2015–2026-yillardagi xalqaro retsenziyalanadigan tadqiqotlar, inson kapitali va strategik HRM bo‘yicha fundamental asarlar, ISO 30414:2025 standarti, O‘zbekistonning normativ-huquqiy hujjatlari, rasmiy statistik ma’lumotlar hamda 08.00.16 ixtisosligi doirasidagi yaqin tadqiqotlar qiyosiy tahlil qilindi. Tadqiqot natijasida “raqamli infratuzilma — ma’lumotlar sifati — analitik salohiyat — boshqaruv qarori — iqtisodiy va akademik natija”dan iborat besh bosqichli qiymat yaratish zanjiri shakllantirildi. Shuningdek, raqamli HR-analitikaning iqtisodiy samaradorligi bo‘yicha mualliflik ta’rifi, asosiy determinantlari hamda vositachilik va moderatorlik aloqalari taklif etildi. Mavjud ilmiy yondashuvlarni umumlashtirish asosida nodavlat OTMlarda DHR-Maturity,
TCO–ROI–NPV, turnover qiymati, ma’lumotlar boshqaruvi va algoritmik xolislikni yagona tadqiqot arxitekturasida uyg‘unlashtirish imkoniyatlari asoslandi. Taklif etilgan model keyingi empirik bosqichda 10–15 ta nodavlat OTM ma’lumotlari asosida panel regressiya, PLS-SEM, DEA/SFA va pilot baholash usullari orqali tekshirilishi mumkin.

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