Browsing by Author "Soyer, Emre"
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Combining big data and lean startup methods for business model evolution
Seggie, S. H.; Soyer, Emre; Pauwels, K. H. (Springer, 2017-12)The continued survival of firms depends on successful innovation. Yet, legacy firms are struggling to adapt their business models to successfully innovate in the face of greater competition from both local and global ... -
Communicating forecasts: the simplicity of simulated experience
Hogarth, R. M.; Soyer, Emre (Elsevier, 2015-08)It is unclear whether decision makers who receive forecasts expressed as probability distributions over outcomes understand the implications of this form of communication. We suggest a solution based on the fact that people ... -
Fooled by experience
Soyer, Emre; Hogarth, R. M. (Harvard Business Publishing, 2015-05)We interpret the past—what we’ve experienced and what we’ve been told—to chart a course for the future. It seems like a reasonable approach, but it could be a mistake. The problem is that we view the past through filters ... -
The golden rule of forecasting: objections, refinements, and enhancements
Soyer, Emre; Hogarth, R. M. (Elsevier, 2015-08)In providing a “golden rule” for forecasting, Armstrong, Green, and Graefe (this issue) raise aspirations that reliable forecasting is possible. They advocate a conservative approach that mainly involves extrapolating from ... -
Learning from experience in nonlinear environments: Evidence from a competition scenario
Soyer, Emre; Hogarth, R. M. (Elsevier, 2015-09)We test people’s ability to learn to estimate a criterion (probability of success in a competition scenario) that requires aggregating information in a nonlinear manner. The learning environments faced by experimental ... -
A picture's worth a thousand numbers
Hogarth, R. M.; Soyer, Emre (Harvard Business Publishing, 2013-06)The article examines research on the subject of humans' difficulty in understanding probability and the value of graphic representations in improving that understanding. Topics include research by "Harvard Business Review" ... -
Providing information for decision making: Contrasting description and simulation
Hogarth, R. M.; Soyer, Emre (Elsevier, 2015-09)Providing information for decision making should be like telling a story. You need to know, first, what you want to say; second, whom you are addressing; and third, how to match the message and audience. However, data ... -
Quantifying the spillover of green products on consumer attitudes and umbrella brand sales
Özcan, Başar (2017-06)Despite growing consumer attention to the environment, it is still unclear how and how much companies benefit from their large investments in 'green' products. This paper quantifies the positive spillover of sustainable ... -
The two settings of kind and wicked learning environments
Hogarth, R. M.; Lejarraga, T.; Soyer, Emre (Association for Psychological Science, 2015-10)Inference involves two settings: In the first, information is acquired (learning); in the second, it is applied (predictions or choices). Kind learning environments involve close matches between the informational elements ... -
Using simulated experience to make sense of big data
Hogarth, R. M.; Soyer, Emre (Massachusetts Institute of Technology, 2015)Simulated experience can help companies communicate data analysis results to decision makers. Analysts' conclusions have been found to be different from what decision makers understand. Meanwhile, complex statistical ...
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