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Does the Delphi process lead to increased accuracy in group-based judgmental forecasts or does it simply induce consensus amongst judgmental forecasters?

机译:Delphi程序是否会提高基于组的判断预测的准确性,还是只是在判断预测者之间达成共识?

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摘要

We investigate the relative impact of internal Delphi process factors - including panelists' degree of confidence, expertise, majority/minority positioning - and an external factor, richness of feedback - on opinion change and subsequent accuracy of judgmental forecasts. We found that panelists who had low confidence in their judgmental forecast and/or who were in a minority were more likely to change their opinion than those who were more confident and/or in a majority. The addition of rationales, or reasons, to the numeric feedback had little impact upon panelists' final forecasts, despite the quality of panelists' rationales being significantly positively correlated with accurate forecasts and thus of potential use to aid forecast improvement over Delphi rounds. Rather, the effect of rationales was similar to that of confidence: to pull panelists towards the majority opinion regardless of its correctness. We conclude that majority opinion is the strongest influence on panelists' opinion change in both the 'standard' Delphi, and Delphi-with-reasons. We make some suggestions for improved variants of the Delphi-with-reasons technique that should help reduce majority influence and thereby permit reasoned arguments to exert their proper pull on opinion change, resulting in forecast accuracv imDrovements over DelDhi rounds.
机译:我们调查内部Delphi流程因素的相对影响-包括小组成员的信心程度,专业知识,多数/少数派的位置-以及外部因素,反馈的丰富性-对意见变化和判断预测的后续准确性的影响。我们发现,与那些对自己的判断预测信心不足和/或少数群体的参与者相比,那些更有信心和/或多数群体的参与者更有可能改变自己的看法。尽管专家的理论依据的质量与准确的预测呈显着正相关,并因此有可能用于帮助德尔菲回合的改进,但向数字反馈中添加理论依据或理由对小组成员的最终预测影响不大。相反,理据的影响与信心的影响相似:无论专家小组的正确性如何,都应将其拉向多数意见。我们得出结论,无论是在“标准”的德尔福还是在有理由的德尔福中,多数意见对小组成员的观点变化都具有最大的影响。我们提出了一些改进的带有原因的德尔菲技术的建议,这些变种应该有助于减少多数人的影响,从而允许有理有据的论点对观点变化施加适当的拉力,从而导致对DelDhi回合的预测准确性改进。

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