Publication: Correcting for CBC model bias: a hybrid scanner data - conjoint model
Correcting for CBC model bias: a hybrid scanner data - conjoint model
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Natter, M., & Feurstein, M. (2011). Correcting for CBC model bias: a hybrid scanner data - conjoint model. The International Review of Retail, Distribution and Consumer Research, 11, 247–254. https://doi.org/10.1080/713770600
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This paper proposes a new model for studying the new product development process in an artificial environment. We show how connectionist models can be used to simulate the adaptive nature of agents' learning exhibiting similar behavior as practically experienced learning curves. We study the impact of incentive schemes (local, hybrid and global) on the new product development process for different types of organizations. Sequential organizational structures are compared to two different types of team-based organizations, incorporating
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- Feurstein, Markus
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Natter, M., & Feurstein, M. (2011). Correcting for CBC model bias: a hybrid scanner data - conjoint model. The International Review of Retail, Distribution and Consumer Research, 11, 247–254. https://doi.org/10.1080/713770600
