| Algorithm aversion: People erroneously avoid algorithms after seeing them err. BJ Dietvorst, JP Simmons, C Massey Journal of Experimental Psychology: General 144 (1), 114-126, 2015 | 2552 | 2015 |
| Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them BJ Dietvorst, JP Simmons, C Massey Management Science 64 (3), 1155-1170, 2016 | 1213 | 2016 |
| People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting Error B Dietvorst, S Bharti Psychological Science, 2020 | 240 | 2020 |
| Consumers object to algorithms making morally relevant tradeoffs because of algorithms’ consequentialist decision strategies BJ Dietvorst, DM Bartels Journal of Consumer Psychology, 2021 | 76 | 2021 |
| Quitting when the going gets tough: A downside of high performance expectations H Dai, BJ Dietvorst, B Tuckfield, KL Milkman, ME Schweitzer Academy of management journal 61 (5), 1667-1691, 2018 | 67 | 2018 |
| Intentionally “biased”: People purposely use to-be-ignored information, but can be persuaded not to B Dietvorst, U Simonsohn Journal of Experimental Psychology: General 148 (7), 1228-1238, 2019 | 34 | 2019 |
| The minimum mean paradox: A mechanical explanation for apparent experiment aversion R Mislavsky, BJ Dietvorst, U Simonsohn Proceedings of the National Academy of Sciences 116 (48), 23883-23884, 2019 | 16 | 2019 |
| Critical Condition: People Don’t Dislike A Corporate Experiment More than They Dislike Its Worst Condition R Mislavsky, B Dietvorst, U Simonsohn Marketing Science, 2019 | 16 | 2019 |
| Consumers and Managers Reject (Superior) Algorithms Because They Fail to Compare Them to the (Inferior) Alternative BJ Dietvorst SSRN working paper, 2017 | 14* | 2017 |
| How artificial intelligence constrains the human experience A Valenzuela, S Puntoni, D Hoffman, N Castelo, J De Freitas, B Dietvorst, ... Journal of the Association for Consumer Research 9 (3), 000-000, 2024 | 10 | 2024 |
| Algorithm aversion BJ Dietvorst Publicly Accessible Penn Dissertations, 2016 | 9 | 2016 |
| Taking the Full Measure: Integrating Replication into Research Practice to Assess Generalizability O Urminsky, BJ Dietvorst Journal of Consumer Research 51 (1), 157-168, 2024 | 6 | 2024 |
| Prediction by Replication: People Prefer Prediction Algorithms That Replicate the Event Being Predicted L Fei, B Dietvorst Journal of the Association for Consumer Research 9 (3), 306-318, 2024 | 3 | 2024 |
| People Take More Risk When Their Prospects Are Tied to Future States of the World BJ Dietvorst, L Fei Working paper, 2021 | 1 | 2021 |
| When people don’t trust algorithms BJ Dietvorst, P Michelman | 1 | 2020 |
| How Should Time Estimates be Structured to Increase Customer Satisfaction? B Hu, C Gaertig, BJ Dietvorst Forthcoming at Management Science, 2024 | | 2024 |
| Understanding People’s Preferences for Predictions: People Prioritize Being Right over Minimizing How Wrong They Are in Expectation BJ Dietvorst Available at SSRN 4886144, 2024 | | 2024 |
| Reason Defaults: Presenting Defaults With Reasons for Choosing Each Option Helps Decision-Makers With Minority Interests S Desiraju, BJ Dietvorst Psychological Science 34 (12), 1363-1376, 2023 | | 2023 |
| Neither Biased Algorithms nor Biased Humans are Desirable, But Combining Them may be Permissible S Wang, BJ Dietvorst | | 2023 |
| Numeric Judgments and Decisions B Hu, C Gaertig, B Dietvorst, R Mislavsky, RY Gao, MH Jung, LD Nelson, ... Advances in Consumer Research 49, 2021 | | 2021 |
Cade MasseyUniversity of PennsylvaniaBestätigte E-Mail-Adresse bei wharton.upenn.edu
