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Tytuł artykułu

Internet digital content pricing and subscribers control

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We use optimal control theory to determine the optimal rate of change in the subscription fee and the optimal ratio of ad space to the total web page space for a web content provider. An optimal solution is obtained using the maximum principle approach and the model predictive control approach. Numerical experiments show that it is preferable to use the first approach when the planning horizon is short and the second approach when the planning horizon is long.
Rocznik
Strony
59--73
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
  • Department of Industrial Engineering, Alfaisal University, Riyadh, Saudi Arabia
autor
  • Department of Industrial Engineering, Alfaisal University, Riyadh, Saudi Arabia
Bibliografia
  • [1] Abrate, G., Nicolau, J. L., and Viglia, G. The impact of dynamic price variability on revenue maximization. Tourism Management 74 (2019), 224–233.
  • [2] Choi, T.-M., Guo, S., Liu, N., and Shi, X. Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era. European Journal of Operational Research 284, 3 (2020), 1031–1042.
  • [3] Dewan, R., Freimer, M., and Zhang, J. Management and valuation of advertisement-supported web sites. Journal of Management Information Systems 19, 3 (2002), 87–98.
  • [4] Fridgeirsdottir, K., and Najafi-Asadolahi, S. Cost-per-impression pricing for display advertising. Operations Research 66, 3 (2018), 653–672.
  • [5] Halbheer, D., Stahl, F., Koenigsberg, O., and Lehmann, D. R. Choosing a digital content strategy: How much should be free? International Journal of Research in Marketing 31, 2 (2014), 192–206.
  • [6] Interactive Advertising Bureau. IAB internet advertising revenue report: Full-year 2021 results (accessed on 16 September 2017).
  • [7] Kumar, S., and Sethi, S. P. Dynamic pricing and advertising for web content providers. European Journal of Operational Research 197, 3 (2009), 924–944.
  • [8] Prasad, A., Mahajan, V., and Bronnenberg, B. Advertising versus pay-per-view in electronic media. International Journal of Research in Marketing 20, 1 (2003), 13–30.
  • [9] Riggins, F. J. Market segmentation and information development costs in a two-tiered fee-based and sponsorship-based web site. Journal of Management Information System 19, 3 (2003), 69–86.
  • [10] Sethi, S. P. Optimal Control Theory: Applications to Management Science and Economics, 3rd ed., Springer, 2019.
  • [11] Statista. Advertising revenue of Google from 2001 to 2019 (in billion U.S. dollars), 2021 (accessed on 16 September 2017).
  • [12] Sun, L., Teunter, R. H., Babai, M. Z., and Hua, G. Optimal pricing for ride-sourcing platforms. European Journal of Operational Research 278, 3 (2019), 783–795.
  • [13] US Census Bureau. Quarterly retail e-commerce sales: 1st quarter 2021 (accessed 16 September 2017).
  • [14] Victor, V., Thoppan, J. J., Nathan, R. J., and Fekete-Farkas, M. Factors influencing consumer behavior and prospective purchase decisions in a dynamic pricing environment — an exploratory factor analysis approach. Social Sciences 7, 9 (2018), 153.
  • [15] Xu, J., and Duan, Y. Subscription price and advertising space decisions for online content firms with reference effect. Electronic Commerce Research and Applications 30 (2018), 8–24.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8210fd69-5349-4b53-a14b-905af22644a4
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