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Dilek Önkal

Researcher at Northumbria University

Publications -  77
Citations -  2376

Dilek Önkal is an academic researcher from Northumbria University. The author has contributed to research in topics: Overconfidence effect & Consensus forecast. The author has an hindex of 23, co-authored 71 publications receiving 1974 citations. Previous affiliations of Dilek Önkal include University of Bradford & Bilkent University.

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Judgmental forecasting: A review of progress over the last 25 years

TL;DR: The past 25 years has seen a phenomenal growth of interest in judgemental approaches to forecasting and a significant change of attitude on the part of researchers to the role of judgement as discussed by the authors.
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The relative influence of advice from human experts and statistical methods on forecast adjustments

TL;DR: In this article, the authors examined how the apparent source of the advice affects the attention that is paid to it when the mode of delivery of advice is identical for both sources and found that when the apparent sources of advice were different, much greater attention was paid to the advice that appeared to come from a human expert.
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Forecasting: theory and practice

Fotios Petropoulos, +84 more
- 04 Dec 2020 - 
TL;DR: A non-systematic review of the theory and the practice of forecasting, offering a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts.
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The Influence of Nationality and Gender on Ethical Sensitivity: An Application of the Issue-Contingent Model

TL;DR: In this paper, the authors examine ethical sensitivity regarding the duties to clients and owners (principals), employees (agents), and responsibilities to society (third parties), and find that ethical sensitivity varies depending upon whether the interests of principals, agents, or third parties are affected by a given ethical dilemma.
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The effects of structural characteristics of explanations on use of a DSS

TL;DR: Strongly confident and long explanations are found to be more effective in participants' acceptance of interval forecasts and explanations with higher information value are more effective than those with low information value and thus are persuasive tools in the presentation of advice to users.