Tim Pfeiffer's research while affiliated with University of Wuerzburg and other places

Publication (1)

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Anchoring effects—the assimilation of a numeric estimate to a previously considered standard—have proved to be remarkably robust. Results of two studies, however, demonstrate that anchoring can be reduced by applying a consider-the-opposite strategy. Based on the Selective Accessibility Model, which assumes that anchoring is mediated by the selecti...


... Rezaei argued that both methods produce greater (than actual) weights for the less important attributes and lower (than actual) weights for the more important attributes. Generalization of the findings of his study should be made carefully due to two important facts: (i) in his study, (2016) Consider-the-opposite Consider-the-opposite strategy mitigates the effect of anchoring bias (especially for external anchors) because of the multiple and inconsistent anchors being provided Lord et al. (1984) and Mussweiler et al. (2000) Group decision-making Group decision-making leads to a reduction in anchoring bias because of the different anchors considered by different DMs involved de Wilde et al. (2018), Meub and Proeger (2018), and Sniezek (1992) graphical representation information is used to check the anchoring bias in subjects' estimation. Existing literature shows that different graphical representation information could lead to different levels of precision in estimation, something that has not been considered in that study and has been extensively studied in the literature (Korhonen and Wallenius, 2008;Gettinger et al., 2013;Liu et al., 2014;Miettinen, 2014;Wachowicz et al., 2019). ...