IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v269y2018i3p1165-1179.html

Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Fang, Debin & Wang, Pengyu, 2023. "Optimal real-time pricing and electricity package by retail electric providers based on social learning," Energy Economics, Elsevier, vol. 117(C).
  2. Zhou, Tingting & Luo, Xi & Liu, Xiaojun & Liu, Guangchuan & He, Lin & Zhai, Xiongxiong & Wang, Gang & Gao, Xiaoxiao, 2025. "Quantification of rural residents' willingness for electricity demand response: Insights from field simulation experiments," Applied Energy, Elsevier, vol. 400(C).
  3. Katharina Keller & Christian Schlereth & Oliver Hinz, 2021. "Correction to: Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 501-501, May.
  4. Vomberg, Arnd & Homburg, Christian & Sarantopoulos, Panagiotis, 2025. "Algorithmic pricing: Effects on consumer trust and price search," International Journal of Research in Marketing, Elsevier, vol. 42(4), pages 1166-1186.
  5. Sulaima, Mohamad Fani & Dahlan, Nofri Yenita & Yasin, Zuhaila Mat & Rosli, Marlinda Mohd & Omar, Zulkiflee & Hassan, Mohammad Yusri, 2019. "A review of electricity pricing in peninsular Malaysia: Empirical investigation about the appropriateness of Enhanced Time of Use (ETOU) electricity tariff," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 348-367.
  6. Nakai, Miwa & von Loessl, Victor & Wetzel, Heike, 2024. "Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan," Ecological Economics, Elsevier, vol. 223(C).
  7. von Loessl, Victor, 2023. "Smart meter-related data privacy concerns and dynamic electricity tariffs: Evidence from a stated choice experiment," Energy Policy, Elsevier, vol. 180(C).
  8. Swantje Sundt & Katrin Rehdanz & Jürgen Meyerhoff, 2020. "Consumers’ Willingness to Accept Time-of-Use Tariffs for Shifting Electricity Demand," Energies, MDPI, vol. 13(8), pages 1-17, April.
  9. Kim, Kyungah & Choi, Jihye & Lee, Jihee & Lee, Jongsu & Kim, Junghun, 2023. "Public preferences and increasing acceptance of time-varying electricity pricing for demand side management in South Korea," Energy Economics, Elsevier, vol. 119(C).
  10. Minseok Jang & Hyun-Cheol Jeong & Taegon Kim & Sung-Kwan Joo, 2021. "Load Profile-Based Residential Customer Segmentation for Analyzing Customer Preferred Time-of-Use (TOU) Tariffs," Energies, MDPI, vol. 14(19), pages 1-12, September.
  11. Swantje Sundt, 2021. "Influence of Attitudes on Willingness to Choose Time-of-Use Electricity Tariffs in Germany. Evidence from Factor Analysis," Energies, MDPI, vol. 14(17), pages 1-20, August.
  12. Wang, Yubin & Dong, Wei & Yang, Qiang, 2022. "Multi-stage optimal energy management of multi-energy microgrid in deregulated electricity markets," Applied Energy, Elsevier, vol. 310(C).
  13. Penelope Buckley, 2021. "A Systematic Review of Qualitative Studies on Residential Consumer Experience with Smart Meters and Dynamic Pricing," Post-Print hal-03335199, HAL.
  14. Wang, Ziyang & Sun, Mei & Gao, Cuixia & Wang, Xin & Ampimah, Benjamin Chris, 2021. "A new interactive real-time pricing mechanism of demand response based on an evaluation model," Applied Energy, Elsevier, vol. 295(C).
  15. Chang, Weiguang & Dong, Wei & Wang, Yubin & Yang, Qiang, 2022. "Two-stage coordinated operation framework for virtual power plant with aggregated multi-stakeholder microgrids in a deregulated electricity market," Renewable Energy, Elsevier, vol. 199(C), pages 943-956.
  16. Hannu Huuki & Rauli Svento, 2020. "Unobserved preferences and dynamic platform pricing under positive network externality," Netnomics, Springer, vol. 21(1), pages 37-58, December.
  17. El Gohary, Fouad, 2024. "The price signal paradigm – On the evolution and limitations of demand-side flexibility in the EU," Energy Policy, Elsevier, vol. 192(C).
  18. Guo, Wenhao & Tian, Jin & Li, Minqiang, 2023. "Price-aware enhanced dynamic recommendation based on deep learning," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  19. Savelli, Iacopo & Morstyn, Thomas, 2021. "Electricity prices and tariffs to keep everyone happy: A framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery," Omega, Elsevier, vol. 103(C).
  20. Patrick Schembri & Hynd Remita, 2021. "Énergies « nouvelles » et société," Post-Print hal-03394500, HAL.
  21. Probst, Markus, 2021. "Ohne Moos nichts los? Eine Discrete-Choice-Analyse der Präferenzen von Medizinstudenten für die Arbeit auf dem Land [No Mon, No Fun? A Discrete Choice Analysis of the Preferences of Medical Students for Work on the Countryside]," Junior Management Science (JUMS), Junior Management Science e. V., vol. 6(3), pages 507-546.
  22. Tong, Yuxing & Shao, Chengcheng & Xu, Jinlong, 2025. "An electric vehicle charging station operation model with hourly capacity mechanism," Energy, Elsevier, vol. 328(C).
  23. Choi, Dong Gu & Murali, Karthik, 2022. "The impact of heterogeneity in consumer characteristics on the design of optimal time-of-use tariffs," Energy, Elsevier, vol. 254(PB).
  24. Schröder, Alexander & Schlereth, Christian & Hienerth, Christoph & Kellermanns, Franz, 2025. "A Perfect Match? How Entrepreneurs Evaluate And Decide On Venture Capital Firms," Journal of Business Research, Elsevier, vol. 200(C).
  25. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
  26. Martin Spann & Bernd Skiera, 2020. "Dynamische Preisgestaltung in der digitalisierten Welt [Dynamic Pricing in a Digitized World]," Schmalenbach Journal of Business Research, Springer, vol. 72(3), pages 321-342, September.
  27. Anette Boom & Sebastian Schwenen, 2021. "Is real-time pricing smart for consumers?," Journal of Regulatory Economics, Springer, vol. 60(2), pages 193-213, December.
  28. Sandile Johannes Buthelezi & Taurai Hungwe & Solly Matshonisa Seeletse & Vimbai Mbirimi-Hungwe, 2024. "Non-life insurance: The state of the art of determining the superior method for pricing automobile insurance premiums using archival technique," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 13(2), pages 180-188, March.
  29. El Gohary, F. & Nordin, M. & Juslin, P. & Bartusch, C., 2022. "Evaluating user understanding and exposure effects of demand-based tariffs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
  30. Wenhao Guo & Jin Tian & Minqiang Li, 2026. "A bidirectional sequential recommender system based on multi-source price factors," Electronic Commerce Research, Springer, vol. 26(2), pages 2131-2152, April.
  31. Bernadeta Gołębiowska, 2020. "Preferences for demand side management—a review of choice experiment studies," Working Papers 2020-05, Faculty of Economic Sciences, University of Warsaw.
  32. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.