PRICING SCHEME FOR TARIFF PACKAGES FOR MOBILE OPERATORS UNDER MONOPOLY CONDITIONS
Abstract
Mobile Internet has grown significantly due to the intensive development of information and communication technologies. Today, approximately 70% of traffic is projected to be for bandwidth-sensitive services such as video [1, 2]. On the other hand, as the mobile Internet market has grown, many Internet companies have launched their own application services
References
P. Mell, T. Grance, The NIST definition of cloud computing, NIST Spec. Publ. 800 (2011) 145.
C. Cisco, Cisco Global Cloud Index: Forecast and Methodology, 2016–2021, Cisco, San Jose, 2018.
H. Jiang, Z. Hu, X. Zhao, L. Yang, Z. Yang, Exploring the users' preference pattern of application services between different mobile phone brands, IEEE Trans. Comput . Soc . Syst . 5 (4) (2018) 1163–1173.
F. Sawadogo, Demand price elasticity of mobile voice communication: A comparative firm level data analysis, Inf. Econ . Policy 57 (2021) 100939.
M. Katz, J. Sallet, Multisided platforms and antitrust enforcement, Yale Law J. 127 (7) (2018) 2142–2175.
H. Geva, G. Oestreicher-Singer, M. Saar- Tsechansky , Using retweets when shaping our online persona: Topic modeling approach, MIS Q. 43 (2) (2019) 501–524.
P. Zhao, Z. Ding, M. Wang, R. Cao, Behavior analysis for electronic commerce trading systems: A survey, IEEE Access 7 (2019) 108703–108728.
[ 8] Z. Bao, Z. Han, What drives users' participation in online social Q&A communities? An empirical study based on social cognitive theory, Aslib J. Inf. Manage. 71 (5) (2019) 637–656.
S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, R. Harshman, Indexing by latent semantic analysis, J. Am. Soc. Inf. Sci. 41 (6) (1990) 391–407.
M. J. Cole, C. Hendahewa , N. J. Belkin, C. Shah, User activity patterns during information search, ACM Trans. Inf. Syst. (TOIS) 33 (1) (2015) 1–39.
H. Kawazu, F. Toriumi, M. Takano, K. Wada, I. Fukuda, Analytical method of web user behavior using hidden Markov model, in: 2016 IEEE International Conference on Big Data (Big Data), IEEE, 2016, pp. 2518–2524.
M. Armstrong, Competition in two-sided markets, RAND J. Econom . 37 (3) (2006) 668–691.
M. Armstrong, J. Wright, Two-sided markets, competitive bottlenecks and exclusive contracts, Econom . Theory 32 (2007) 353–380.
J.-C. Rochet, J. Tirole , Two-sided markets: a progress report, RAND J. Econom . 37 (3) (2006) 645–667.
R. Johari, B. Light, G. Weintraub, Quality selection in two-sided markets: A constrained price discrimination approach, 2019, arXiv preprint arXiv:1912. 02251.
A. Boik, Prediction and identification in two-sided markets, 2018, Available at SSRN 3104846. URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id= 3104846.
T. Wu, M. Zhang, X. Tian, S. Wang, G. Hua, Spatial differentiation and network externality in pricing mechanism of online car hailing platform, Int. J.Prod. Econ. 219 (2020) 275–283.
S. Wang, Study on new media platform operation model based on bilateral market economy, in: E3S Web of Conferences, Vol. 218, EDP Sciences, 2020, p. 02042.
Baxtiyor Maxkamov , Gulnora Ismoilova and Bobur Raximov 2023. ELEKTRON TIJORAT INFRATUZILMASI VA UNING GEOIQTISODIY AHAMIYATI. Innovations in Technology and Science Education. 2, 10 (Jun. 2023), 974–983.
G. Ismoilova , B. Makhkamov and J. Mahmudov, “Business In The Development Of E-Commerce,” 2022 International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan, 2022, pp. 1-7, doi:10.1109/ICISCT55600.2022.10146775.
Juanjuan Wang, Jun Zeng, Hao Wen, Zhiyi Hu, “Designing mobile operator’s tariff package pricing scheme based on user’s internet behavior,” Computer Communications, Volume 211, 2023, Pages 93-103, ISSN 0140-3664, https://doi.org/10.1016/j.comcom.2023.07.025.