Consumer choice behaviour and new product development: an integrated market simulation approach
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DOI: 10.1057/jors.2010.70
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Cited by:
- Julio López & Sebastián Maldonado & Ricardo Montoya, 2017. "Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1323-1334, November.
- Juan Carlos Leyva López & Jesús Jaime Solano Noriega & Omar Ahumada Valenzuela & Alma Montserrat Romero Serrano, 2022. "A preference choice model for the new product design problem," Operational Research, Springer, vol. 22(4), pages 1-32, September.
- Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
- Sumeetha R. Natesan & Goutam Dutta, 2022. "A comparison of logarithmic goal programming and conjoint analysis to generate priority point vectors: an experimental approach," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 518-549, June.
- Hein, Maren & Goeken, Nils & Kurz, Peter & Steiner, Winfried J., 2022. "Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data," European Journal of Operational Research, Elsevier, vol. 297(2), pages 630-651.
- Xiong Xiaoqin & Cheng Aiguo, 2020. "Evaluation of Heavy Commercial Vehicles Brand Considering Multi-Attribute Indexes in China," Journal of Systems Science and Information, De Gruyter, vol. 8(4), pages 291-308, August.
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Keywords
consumer choice; product design; simulation behaviour; marketing; forecasting;All these keywords.
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