دورية أكاديمية

Expert biases in technology foresight. Why they are a problem and how to mitigate them

التفاصيل البيبلوغرافية
العنوان: Expert biases in technology foresight. Why they are a problem and how to mitigate them
المؤلفون: Bonaccorsi A., Apreda R., Fantoni G.
المساهمون: Bonaccorsi, A., Apreda, R., Fantoni, G.
سنة النشر: 2020
المجموعة: ARPI - Archivio della Ricerca dell'Università di Pisa
مصطلحات موضوعية: Anchoring, Desirability bia, Expert biase, False consensus effect, Framing effect, Hindsight bia, Overconfidence, Planning fallacy
الوصف: The paper addresses an issue largely discussed in the field of Forecasting and in many future-oriented scientific and professional disciplines, but less frequently considered in the Foresight literature, particularly in the technology foresight field- i.e. the extent to which biases of human experts influence the foresight process. The paper reviews the literature on cognitive biases and identifies the main areas of technology foresight in which biases are most likely to materialize. It offers a number of examples in which these biases may indeed create distortions. It also reviews the potential impact of several recently introduced methods, in the field of technology foresight and in related areas, to mitigate the distortions and calls for future research in this new field of investigation.
نوع الوثيقة: article in journal/newspaper
وصف الملف: ELETTRONICO
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000509818900012; volume:151; journal:TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE; https://hdl.handle.net/11568/1021141Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85076246171; https://www.journals.elsevier.com/technological-forecasting-and-social-changeTest
DOI: 10.1016/j.techfore.2019.119855
الإتاحة: https://doi.org/10.1016/j.techfore.2019.119855Test
https://hdl.handle.net/11568/1021141Test
https://www.journals.elsevier.com/technological-forecasting-and-social-changeTest
رقم الانضمام: edsbas.EF839D28
قاعدة البيانات: BASE