TADBIRKORLIK SUBYEKTLARI SAMARADORLIGINI OSHIRISHDA ZAMONAVIY TEXNOLOGIYALAR VA HISOBLASH USULLARI: INNOVATSION YECHIMLAR VA STRATEGIK YONDASHUVLAR
DOI:
https://doi.org/10.54613/ku.v12i.983Keywords:
ROI, EBITDA, Big data, Tadbirkorlik samaradorligi, sun’iy intellekt, bulutli hisoblash, moliyaviy ko‘rsatkichlar, raqamli transformatsiya, mashinaviy o‘rganish.Abstract
Mazkur maqola tadbirkorlik subyektlari samaradorligini o‘lchash va hisoblash texnologiyalari haqida batafsil ma’lumot beradi. Maqolada ROI, EBITDA kabi moliyaviy ko‘rsatkichlar hamda zamonaviy texnologiyalardan foydalanish samaradorlikni oshirishda muhim rol o‘ynashi ta’kidlanadi. Xususan, Big Data, sun’iy intellekt (AI), va bulutli hisoblash texnologiyalarining samaradorlikni oshirishdagi ahamiyati o‘rganilgan. Shuningdek, O‘zbekiston tadbirkorlik sektorida raqamli transformatsiyaning hozirgi holati va texnologiyalarni joriy qilishning biznes samaradorligiga ta’siri batafsil tahlil qilingan.
Foydalanilgan adabiyotlar:
Qo‘shimov, O., Ahmedov, B. O‘zbekiston Respublikasida tadbirkorlik subyektlari samaradorligini baholash: moliyaviy va texnologik ko‘rsatkichlar. Toshkent: Iqtisodiyot universiteti nashriyoti. (2020). pp. 35-50.
McKinsey Global Institute. The Role of Technology in Enhancing Business Efficiency. (2021). 45-47 p.
World Economic Forum. Global Technology Investment and Business Growth. (2020). 32-38 p.
Xolmatov, A. Tadbirkorlik subyektlari faoliyatida raqamli texnologiyalarni qo‘llash samaradorligi. Samarqand: Samarqand davlat universiteti nashriyoti. (2019). pp. 12-28.
Smith, J. “Technological Innovations and ROI in Global Corporations” Journal of Business and Economics. 2023. 145-157 p.
Karimov, M. Moliyaviy ko‘rsatkichlar va raqamli texnologiyalarning biznes samaradorligiga ta’siri. Toshkent: Iqtisodiyot va innovatsiya instituti nashriyoti. (2021). pp. 22-35.
Davis, R., & Patel, S. “Artificial Intelligence and Big Data Analytics: Enhancing Business Efficiency and Competitiveness”. International Journal of Business Analytics and Intelligence, Vol. 18, Issue 4. 2023. 45-62p.
Smith, A. (2020). Financial Metrics for Business Evaluation. Oxford University Press, pp. 45-49.
Johnson, R., & White, K. (2022). Global Financial Performance Benchmarks. McGraw-Hill, pp. 101-110.
Brown, L. (2021). Project Evaluation Techniques in the Digital Era. MIT Press, pp. 83-90.
Gartner, Inc. (2023). Big Data Analytics Impact Report. Gartner Press, pp. 12-15.
Deloitte, (2022). AI in Business: Transformation and Efficiency. Deloitte University Press, pp. 48-52.
Forbes, (2022). Cloud Computing Impact on IT Costs. Forbes Media, pp. 22-27.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165-1188.
Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116.
Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company.
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud Computing—The Business Perspective. Decision Support Systems, 51(1), 176-189.
Koshkin, V. P., & Denisov, I. A. (2022). The Impact of Digital Technologies on Business Performance: A Comparative Analysis. International Journal of Business and Technology, 19(3), 45-63.
Simmonds, K., & Bhattacharya, S. (2018). Evaluating the Economic Impact of Cloud Computing Technologies on Small Enterprises. Journal of Innovation and Business Technology, 11(2), 67-80.
Gërguri-Rashiti, S., Ramadani, V., Abazi-Alili, H., Dana, L. P., & Ratten, V. (2017). ICT, Innovation and Firm Performance: The Transition Economies Context. Journal of Business Research, 94, 203-213.
https://mckinsey.com/global-business-efficiency
https://weforum.org/reports/technology-investment-growth
https://jbe.com/volume58/issue2
https://ijbai.org/vol18/issue4
https://staff.tiiame.uz/storage/users/36/presentations/BrY10Jw4QYb20mEdJfnTpPoa1xXa6MRLw4BAbNp5.pdf
Downloads
Published
Iqtiboslik olish
Issue
Section
License
Copyright (c) 2024 QO‘QON UNIVERSITETI XABARNOMASI
This work is licensed under a Creative Commons Attribution 4.0 International License.