The Impact of Cognitive Predispositions on Exploration Decisions in the Mineral Industry
MetadataShow full item record
Minerals exploration is conducted within an environment of ambiguity in the information and a high degree of uncertainty concerning success. In an extension and application of Tetlock (2005) the present research examined the impact of cognitive predispositions on the quality of minerals exploration decision-making. Utilising instruments specifically designed to assess thinking and judgement predispositions results indicate that for this sample (n = 94) an enjoyment of rational thinking and the need for cognitive closure were predictive of lower estimated percentages of the likelihood of finding an exploitable deposit keeping geophysical data constant. Several counter-intuitive findings related to the relationship between likelihood and amount of expenditure were also found. The findings add further support to Tetlock's (2005) call to hold experts in all fields to account for the recommendations they make and to examine not just what they think but how they think.
Showing items related by title, author, creator and subject.
Cognitive big data: survey and review on big data research and its implications. What is really “new” in big data?Lugmayr, Artur; Stockleben, B.; Scheib, C.; Mailaparampil, M. (2017)Purpose – The purpose of this paper is to introduce and define Cognitive Big Data as a concept. Furthermore, it investigates what is really “new” in Big Data, as it seems to be a hyped-up concept that has emerged during ...
Developing, implementing and evaluating the use of ethical frameworks in teaching bioethics issues in a Year 10 biotechnology programYap, Siew Fong (2012)With the re-emergence of values education in the school curriculum in the last decade, science is viewed as one of the key teaching domains, and in particular, socio-scientific education is increasingly perceived as ...
A comprehensive survey on big-data research and its implications - What is really 'new' in big data? - It's cognitive big data!Lugmayr, Artur; Stockleben, B.; Scheib, C.; Mailaparampil, M.; Mesia, N.; Ranta, H. (2016)What is really 'new' in Big Data? - Big Data seems to be a hype that has been emerging during the past years. But it requires a more thorough discussion beyond the very common 3V (velocity, volume, and variety) approach. ...