B2B MA’LUMOTLAR MAHSULOTLARI UCHUN DINAMIK QIYMATGA ASOSLANGAN NARXLASH TIZIMI: IKKI TOMONLAMA OPTIMALLASHTIRISH MODELI
DOI:
https://doi.org/10.60078/2992-877X-2025-vol3-iss11-pp258-268Annotasiya
Hozirgi kunda B2B maʼlumotlarini narxlash modellari asosan sotuvchi tomonidan boshqarilib kelmoqda va xaridorlarning oʻz nuqtai nazarlari eʼtiborsiz qoldirilmoqda. Bu anʼanaviy model, bozor samaradorligining pasayishiga va uzoq muddatda barcha manfaatdor tomonlar uchun moliyaviy natijalarning pasayishiga olib keladi. Ushbu tadqiqot qiymat dastaklari yaʼni, xaridorlar va sotuvchilar uchun funksiyalar, LightGBM mashina oʻrganishidan foydalangan holda dinamik algoritm va real vaqt rejimida narxlash uchun API kabi komponentlarni tahlil qiladi.
Kalit so‘zlar:
ikki tomonlama optimallashtirish B2B maʼlumotlar narxlash dinamik narxlash modeli maʼlumotlarni monetizatsiya qilish qiymatga asoslangan narxlash mashinani oʻrganish narxlas SHAP qiymatini tahlil qilisBibliografik manbalar
Abbas, A. E., et al. (2021). Business data sharing through data marketplaces: A systematic literature review. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 3321-3339. https://doi.org/10.3390/jtaer16070180
DataMarketX. (2024). B2B data transaction analysis report: Q3-Q4 2024 [Dataset]. DataMarketX Analytics Platform.
Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253-263. https://doi.org/10.1080/07350015.1995.10524599
Hao, J., Deng, Z., & Li, J. (2025). How to price a dataset: A deep learning framework for data monetization with alternative data. Humanities and Social Sciences Communications, 12, Article 1736. https://doi.org/10.1057/s41599-025-06016-y
Hao, J., Yuan, J., & Li, J. (2023). The evolution of data pricing: From economics to computational intelligence. Heliyon, 9(9), Article e20274. https://doi.org/10.1016/j.heliyon.2023.e20274
Hao, J., Yuan, J., & Li, J. (2024). HCEG: A heterogeneous clustering ensemble learning approach with gravity-based strategy for data assets intelligent pricing. Information Sciences, 678, Article 121082. https://doi.org/10.1016/j.ins.2024.121082
Jun, H., Deng, Z., & Li, J. (2023). The evolution of data pricing: From economics to computational intelligence. Heliyon, 9(9), Article e20274. https://doi.org/10.1016/j.heliyon.2023.e20274
Koutris, P., et al. (2015). Query-based data pricing. Journal of the ACM, 62(5), Article 43. https://doi.org/10.1145/2770870
Liu, K., et al. (2019). Optimal pricing mechanism for data market in blockchain-enhanced internet of things. IEEE Internet of Things Journal, 6(6), 9748-9761. https://doi.org/10.1109/JIOT.2019.2931370
Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Proceedings of the 31st International Conference on Neural Information Processing Systems (pp. 4765-4774). Curran Associates.
Majumdar, R., Gurtoo, A., & Maileckal, M. (2025). Developing a data pricing framework for data exchange. Future Business Journal, 11, Article 4. https://doi.org/10.1186/s43093-025-00422-z
Market.us. (2025). Data monetization platform market size & outlook, 2025-2033. Market.us Research. https://market.us/report/data-monetization-platform-market/
McKinsey & Company. (2025). Intelligence at scale: Data monetization in the age of gen AI. McKinsey Global Institute. https://www.mckinsey.com/capabilities/business-building/our-insights/
Mehta, S., et al. (2021). How to sell a data set? Pricing policies for data monetization. Information Systems Research, 32(4), 1281-1297. https://doi.org/10.1287/isre.2021.1051
Miao, X., et al. (2022). Towards query pricing on incomplete data. IEEE Transactions on Knowledge and Data Engineering, 34(8), 4024-4036. https://doi.org/10.1109/ TKDE.2020.3026084
Nguyen Cong, L., et al. (2016). Data collection and wireless communication in internet of things (IoT) using economic analysis and pricing models: A survey. IEEE Communications Surveys & Tutorials, 18(4), 2546-2590. https://doi.org/10.1109/COMST.2016.2582841
Shapley, L. S. (1953). A value for n-person games. In H. W. Kuhn & A. W. Tucker (Eds.), Contributions to the theory of games (Vol. 2, pp. 307-317). Princeton University Press.
Tian, Y., et al. (2022). Data boundary and data pricing based on the Shapley value. IEEE Access, 10, 14288-14300. https://doi.org/10.1109/ACCESS.2022.3147752
Yu, H., & Zhang, M. (2017). Data pricing strategy based on data quality. Computers & Industrial Engineering, 112, 1-10. https://doi.org/10.1016/j.cie.2017.08.008
Zhang, M., & Beltrán, F. (2020). A survey of data pricing methods. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3609120
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