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Do recommender systems manipulate consumer preferences? : a study of anchoring effects
Adomavicius, Gediminas; Bockstedt, Jesse C.; Curley, … - In: Information systems research : ISR 24 (2013) 4, pp. 956-975
Persistent link: https://www.econbiz.de/10010228985
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Psychological pressure and the right to determine the moves in dynamic tournaments : evidence from a natural field experiment
Kassis, Mark; Schmidt, Sascha Leonard; Schreyer, Dominik; … - 2020
In this paper, we show that the right to determine the sequence of moves in a dynamic team tournament improves the chances of winning the contest. Because studying dynamic team tournaments - like R&D races - with interim feedback is difficult with company data, we examine decisions of highly...
Persistent link: https://www.econbiz.de/10012269663
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Psychological pressure and the right to determine the moves in dynamic tournaments - evidence from a natural field experiment
Kassis, Mark; Schmidt, Sascha Leonard; Schreyer, Dominik; … - 2020 - This version: 23 August 2020
In this paper, we show that the right to determine the sequence of moves in a dynamic team tournament improves the chances of winning the contest. Because studying dynamic team tournaments - like R&D races - with interim feedback is difficult with company data, we examine decisions of highly...
Persistent link: https://www.econbiz.de/10012270658
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Psychological pressure and the right to determine the moves in dynamic tournaments : evidence from a natural field experiment
Kassis, Mark; Schmidt, Sascha Leonard; Schreyer, Dominik; … - 2020 - This version: 23 August 2020
In this paper, we show that the right to determine the sequence of moves in a dynamic team tournament improves the chances of winning the contest. Because studying dynamic team tournaments - like R&D races - with interim feedback is difficult with company data, we examine decisions of highly...
Persistent link: https://www.econbiz.de/10012271460
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Psychological pressure and the right to determine the moves in dynamic tournaments: evidence from a natural field experiment
Kassis, Mark; Schmidt, Sascha Leonard; Schreyer, Dominik; … - 2020
In this paper, we show that the right to determine the sequence of moves in a dynamic team tournament improves the chances of winning the contest. Because studying dynamic team tournaments - like R&D races - with interim feedback is difficult with company data, we examine decisions of highly...
Persistent link: https://www.econbiz.de/10012271547
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Social risk effects : the "experience of social risk" factor
Diekert, Florian; Goeschl, Timo; König-Kersting, Christian - 2021
Anticipating "social risk", or risk caused by humans, affects decision-making differently from anticipating natural risk. Drawing upon a large sample of the US population (n=3,982), we show that the phenomenon generalizes to risk experience. Experiencing adverse outcomes caused by another human...
Persistent link: https://www.econbiz.de/10012598407
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Strategic information selection
Preker, Jurek; Karos, Dominik - 2024
choice is made. We show that a Markovian agent with Gilboa-Schmeidler preferences learns and updates after confirming …
Persistent link: https://www.econbiz.de/10014511689
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Higher Order Risk Preferences : New Experimental Measures, Determinants and Field Behavior
Schneider, Sebastian O. - 2020
We use a novel method to elicit and measure higher order risk preferences (prudence and temperance) in an experiment … with 658 adolescents. In line with theoretical predictions, we find that higher order risk preferences particularly … domains of field behavior. Thus our paper puts previous work that ignored higher order risk preferences into an encompassing …
Persistent link: https://www.econbiz.de/10012823553
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Higher Order Risk Preferences : New Experimental Measures, Determinants and Field Behavior
Schneider, Sebastian O. - 2020
We use a novel method to elicit and measure higher order risk preferences (prudence and temperance) in an experiment … with 658 adolescents. In line with theoretical predictions, we find that higher order risk preferences - particularly … these domains of field behavior. Thus our paper puts previous work that ignored higher order risk preferences into an …
Persistent link: https://www.econbiz.de/10012823871
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Higher Order Risk Preferences : New Experimental Measures, Determinants and Field Behavior
Schneider, Sebastian O. - 2020
We use a novel method to elicit and measure higher order risk preferences (prudence and temperance) in an experiment … with 658 adolescents. In line with theoretical predictions, we find that higher order risk preferences – particularly … these domains of field behavior. Thus our paper puts previous work that ignored higher order risk preferences into an …
Persistent link: https://www.econbiz.de/10012824248