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Dominant texnologik gigantlar davrida shaxsiy ma'lumotlarni himoya qilish
O'zbekiston misolida empirik tahlil
| Nashr sanasi | 23.06.2026 |
| Jurnal soni | Vol. 1 No. 1 (2026) Startaplar va Innovatsion Ekotizim |
| Sahifalar | 1-8 |
| DOI | 10.5281/zenodo.20796300 |
| Bo'lim | Sharhlar va Tahlillar |
| Maqola tili | uz |
| Litsenziya | https://creativecommons.org/licenses/by/4.0/ |
Annotatsiya
Ushbu tadqiqot Oʻzbekistondagi raqamli foydalanuvchilar orasida shaxsiy maʼlumotlarning oshkor boʻlishiga dominant texnologik platformalarning taʼsirini oʻrganadi, amaldagi tartibga solish mexanizmlarining samaradorligini baholaydi hamda maxfiylikni himoya qiluvchi xulq-atvorning asosiy omillarini aniqlaydi. Tadqiqot ketma-ket aralash metodologiya (sequential mixed-methods) asosida olib borilgan bo‘lib, 412 nafar respondent ishtirokidagi so‘rovnoma va 24 ta yarim tuzilgan intervyuni o‘z ichiga oladi. Miqdoriy gipotezalarni sinash uchun PLS-SEM usuli, sifat maʼlumotlarini tahlil qilish uchun esa tematik tahlil qoʻllanilgan. Tadqiqot Markaziy Osiyo sharoitida maʼlumotlar maxfiyligi bo‘yicha foydalanuvchilar xulq-atvorining birinchi keng ko‘lamli empirik tahlilini taqdim etadi hamda tartibga soluvchi organlar va platforma operatorlari uchun amaliy siyosiy tavsiyalarni taklif etadi.
Kalit so'zlar
Adabiyotlar ro'yxati
[1] Acquisti, A., Brandimarte, L., and Loewenstein, G. (2022). Secrets and likes: The drive for
privacy and the difficulty of achieving it in the digital age. Journal of Consumer
Psychology, 32(1), 10-29.
[2] Agency for Development of the Information Society of Uzbekistan. (2024). ICT sector
indicators 2024. Tashkent: ADИС.
[3] Degeling, M., Utz, C., Lentzsch, C., Hosseini, H., Schaub, F., and Holz, T. (2019). We value
your privacy... now take some cookies: Measuring the GDPR's impact on web privacy.
Proceedings of NDSS 2019.
[4] Diakopoulos, N., and Koliska, M. (2017). Algorithmic transparency in the news media.
Digital Journalism, 5(7), 809-828.
[5] Dinev, T., and Hart, P. (2006). An extended privacy calculus model for e-commerce
transactions. Information Systems Research, 17(1), 61-80.
[6] Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2022). A primer on partial least
squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE.
[7] International Data Corporation. (2025). Global datasphere report 2025: Data creation and
consumption trends. IDC.
[8] Linden, T., Khandelwal, R., Harkous, H., and Fawaz, K. (2020). The privacy policy landscape
after the GDPR. Proceedings on Privacy Enhancing Technologies, 2020(1), 47-64.
[9] McKnight, D. H., and Chervany, N. L. (2002). What trust means in e-commerce customer
relationships. International Journal of Electronic Commerce, 6(2), 35-59.
[10] Presidential Decree No. PF-6079. (2020, October 5). Digital Uzbekistan 2030 strategy.
Republic of Uzbekistan.
[11] Presidential Decree No. PQ-436. (2022, December 2). Green Economy Transition Strategy
until 2030. Republic of Uzbekistan.[12] Smith, H. J., Dinev, T., and Xu, H. (2011). Information privacy research: An
interdisciplinary review. MIS Quarterly, 35(4), 989-1016.
[13] Westin, A. F. (2019). Privacy and freedom (reissued ed.). Ig Publishing.
[14] World Bank. (2022). Country climate and development report: Uzbekistan. World Bank
Group.
[15] World Economic Forum. (2023). Future of jobs report 2023. WEF.
[16] Yusupova, N., and Ergashev, B. (2024). Digital rights enforcement in transitional
economies: A case study of Uzbekistan's 2019 Personal Data Law. Central Asian Law
Review, 3(1), 45-67.
[17] Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the
new frontier of power. PublicAffairs.