Preparing, conducting, and analyzing Delphi surveys: Cross-disciplinary practices, new directions, and advancements

MethodsX

Nicolas Frevel¹  Daniel Beiderbeck²  Heiko A. von der Gracht²  Vera M. Schweitzer²  Sascha L. Schmidt³ 

[1] Corresponding author. Tel.: [phone];Center for Sports and Management, WHU, Otto Beisheim School of Management, Erkrather Str. 224a, 40233 Düsseldorf, Germany;School of International Business and Entrepreneurship, Steinbeis University, Kalkofenstr. 53, 71083 Herrenberg, Germany;

关键词: Clinical trials;    Consensus method;    Cross-impact analysis;    Decision-making;    Delphi method;    Expert opinion;   

DOI  :  

来源: DOAJ

【 摘 要 】

Delphi is a scientific method to organize and structure an expert discussion aiming to generate insights on controversial topics with limited information. The technique has seen a rise in publication frequency in various disciplines, especially over the past decades. In April 2021, the term Delphi method yielded 28,200 search hits in Google Scholar for the past five years alone. Given the increasing level of uncertainty caused by rapid technological and social change around the globe, collective expert opinions and assessments are likely to gain even more importance. Therefore, the paper at hand presents technical recommendations derived from a Delphi study that was conducted amid the outbreak of the COVID-19 pandemic in 2020. • The paper comprehensively demonstrates how to prepare, conduct, and analyze a Delphi study. In this regard, it combines several methodological advancements of the recent past (e.g., dissent analyses, scenario analyses) with state-of-the-art impulses from other disciplines like strategic management (e.g., fuzzy clustering), psychology (e.g., sentiment analyses), or clinical trials (e.g., consensus measurement). • By offering insights on the variety of possibilities to exploit Delphi-based data, we aim to support researchers across all disciplines in conducting Delphi studies and potentially expand and improve the method's field of application.

【 授权许可】

Unknown