Bias, information, noise: The BIN model of forecasting VA Satopää, M Salikhov, PE Tetlock, B Mellers Management Science 67 (12), 7599-7618, 2021 | 47 | 2021 |
Decomposing the effects of crowd-wisdom aggregators: The bias–information–noise (BIN) model VA Satopää, M Salikhov, PE Tetlock, B Mellers International Journal of Forecasting, 2022 | 9 | 2022 |
Are goals scored just before halftime worth more? An old soccer wisdom statistically tested HR Greve, J Nesbø, N Rudi, M Salikhov PloS one 15 (10), e0240438, 2020 | 6 | 2020 |
Impact of Workforce Flexibility on Customer Satisfaction: Empirical Framework & Evidence from a Cleaning Services Platform E Astashkina, R Momot, M Salikhov HEC Paris Research Paper No. MOSI-2018-1313, 2018 | 2 | 2018 |
A Disquieting Lack of Evidence for Disintermediation in a Home-Cleaning Platform E Astashkina, R Bray, R Momot, M Salikhov Available at SSRN, 2022 | 1 | 2022 |
Accounting-based Incentives can Induce Cyclical Inventory Build-ups M Salikhov, P Parker, J Mihm, D Popescu, N Rudi INSEAD Working Paper, 2017 | 1 | 2017 |
Information Elicitation from Teams of Privacy-Conscious Experts R Momot, M Salikhov Available at SSRN 4248487, 2022 | | 2022 |
Forecasting Demand for New Products: Combining Subjective Rankings with Sales Data M Salikhov, N Rudi Available at SSRN 3780420, 2021 | | 2021 |
Forecasting Demand Distributions for New Products: Combining Subjective Rankings with Sales Data M Salikhov, N Rudi | | |