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Measuring Consumers' Willingness-to-Pay with Utility-based Recommendation Systems Decision Support Systems

Author

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  • Scholz, Michael
  • Dorner, Verena
  • Franz, Markus
  • Hinz, Oliver
Abstract
No abstract is available for this item.

Suggested Citation

  • Scholz, Michael & Dorner, Verena & Franz, Markus & Hinz, Oliver, 2015. "Measuring Consumers' Willingness-to-Pay with Utility-based Recommendation Systems Decision Support Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77134, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:77134
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/77134/
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    Cited by:

    1. Gusarov, N. & Talebijmalabad, A. & Joly, I., 2020. "Exploration of model performances in the presence of heterogeneous preferences and random effects utilities awareness," Working Papers 2020-12, Grenoble Applied Economics Laboratory (GAEL).
    2. Yan Guo & Chengxin Yin & Mingfu Li & Xiaoting Ren & Ping Liu, 2018. "Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    3. Jianqing Fisher Wu & Banafsheh Behzad, 2023. "Optimal three-part tariff pricing with Spence-Mirrlees reservation prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 97(2), pages 233-258, April.
    4. Scholz, Michael & Dorner, Verena & Schryen, Guido & Benlian, Alexander, 2017. "A configuration-based recommender system for supporting e-commerce decisions," European Journal of Operational Research, Elsevier, vol. 259(1), pages 205-215.
    5. Sebastian Köhler & Thomas Wöhner & Ralf Peters, 2016. "The impact of consumer preferences on the accuracy of collaborative filtering recommender systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(4), pages 369-379, November.
    6. Scholz, Michael & Pfeiffer, Jella & Rothlauf, Franz, 2017. "Using PageRank for non-personalized default rankings in dynamic markets," European Journal of Operational Research, Elsevier, vol. 260(1), pages 388-401.

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