- 学术相关
- Learning product characteristics and consumer preferences from search data
- Value construction through sequential sampling explains serial dependencies in decision making
- Timing legitimacy: identifying the optimal moment to launch technology in the market
- A spiking neural model of decision making and the speed–accuracy trade-off
学术相关
Learning product characteristics and consumer preferences from search data1
Value construction through sequential sampling explains serial dependencies in decision making 2
Timing legitimacy: identifying the optimal moment to launch technology in the market 3
A spiking neural model of decision making and the speed–accuracy trade-off 4
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Armona, L., Lewis, G., & Zervas, G. (2024). Learning product characteristics and consumer preferences from search data. Marketing Science. https://doi.org/10.1287/mksc.2023.0118 ↩
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Zylberberg, A., Bakkour, A., Shohamy, D., & Shadlen, M. N. (2024). Value construction through sequential sampling explains serial dependencies in decision making. eLife, 13, RP96997. https://doi.org/10.7554/eLife.96997 ↩
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Robinson, T., & Veresiu, E. (2024). Timing legitimacy: Identifying the optimal moment to launch technology in the market. Journal of Marketing. https://doi.org/10.1177/0022242924128040 ↩
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Duggins, P., & Eliasmith, C. (2024). A spiking neural model of decision making and the speed–accuracy trade-off. Psychological Review. https://doi.org/10.1037/rev0000520 ↩