Making mutual learning tangible: Mixed-method Delphi as a tool for measuring the convergence of participants’ reciprocal understanding in transdisciplinary processes

IF 3 3区 管理学 Q1 ECONOMICS Futures Pub Date : 2024-03-16 DOI:10.1016/j.futures.2024.103365
Jannis Pfendtner-Heise , Adriana Ackerschott , Christoph Schwenck , Daniel J. Lang , Henrik von Wehrden
{"title":"Making mutual learning tangible: Mixed-method Delphi as a tool for measuring the convergence of participants’ reciprocal understanding in transdisciplinary processes","authors":"Jannis Pfendtner-Heise ,&nbsp;Adriana Ackerschott ,&nbsp;Christoph Schwenck ,&nbsp;Daniel J. Lang ,&nbsp;Henrik von Wehrden","doi":"10.1016/j.futures.2024.103365","DOIUrl":null,"url":null,"abstract":"<div><p>This paper proposes an approach to capture mutual learning within transdisciplinary research to develop future-oriented sustainability solutions to land use conflicts. While quality criteria for transdisciplinary research projects are increasingly discussed, there is still ample methodological potential to enable and better understand mutual learning as a key component of transdisciplinarity. Changes in the specific developments of perceptions of the participants are difficult to be tamed and tracked. To address this shortcoming we propose to apply the Delphi method for longitudinal tracking of mutual learning within transdisciplinary research. We present the application of the methodological approach as part of a transdisciplinary project on sustainable land use in the district of Lüneburg (Lower-Saxony, Germany). Evaluation of semi-structured interviews with seven participants translated into a three-round Delphi survey. A concluding round of semi-structured interviews was performed to validate and deepen the findings. The results showcase that the Delphi method can facilitate the operationalization of the convergence of understandings as a relevant outcome of mutual learning within transdisciplinary projects.</p></div>","PeriodicalId":48239,"journal":{"name":"Futures","volume":"159 ","pages":"Article 103365"},"PeriodicalIF":3.0000,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S001632872400048X/pdfft?md5=10d26984bb118a8c2acaa13fa55c7bf7&pid=1-s2.0-S001632872400048X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Futures","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S001632872400048X","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes an approach to capture mutual learning within transdisciplinary research to develop future-oriented sustainability solutions to land use conflicts. While quality criteria for transdisciplinary research projects are increasingly discussed, there is still ample methodological potential to enable and better understand mutual learning as a key component of transdisciplinarity. Changes in the specific developments of perceptions of the participants are difficult to be tamed and tracked. To address this shortcoming we propose to apply the Delphi method for longitudinal tracking of mutual learning within transdisciplinary research. We present the application of the methodological approach as part of a transdisciplinary project on sustainable land use in the district of Lüneburg (Lower-Saxony, Germany). Evaluation of semi-structured interviews with seven participants translated into a three-round Delphi survey. A concluding round of semi-structured interviews was performed to validate and deepen the findings. The results showcase that the Delphi method can facilitate the operationalization of the convergence of understandings as a relevant outcome of mutual learning within transdisciplinary projects.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
让相互学习有形化:将德尔菲混合方法作为衡量跨学科进程中参与者相互理解趋同性的工具
本文提出了一种在跨学科研究中捕捉相互学习的方法,以制定面向未来的可持续土地利用冲突解决方案。虽然跨学科研究项目质量标准的讨论越来越多,但作为跨学科性的一个关键组成部分,在促进和更好地理解相互学习方面仍有很大的方法论潜力。参与者观念的具体发展变化难以控制和跟踪。为了弥补这一不足,我们建议采用德尔菲法对跨学科研究中的相互学习进行纵向跟踪。我们介绍了该方法在吕内堡地区(德国下萨克森州)可持续土地利用跨学科项目中的应用。对七位参与者进行的半结构式访谈评估转化为三轮德尔菲调查。最后进行了一轮半结构式访谈,以验证和深化调查结果。结果表明,德尔菲法可以促进理解趋同的可操作性,将其作为跨学科项目中相互学习的相关成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Futures
Futures Multiple-
CiteScore
6.00
自引率
10.00%
发文量
124
期刊介绍: Futures is an international, refereed, multidisciplinary journal concerned with medium and long-term futures of cultures and societies, science and technology, economics and politics, environment and the planet and individuals and humanity. Covering methods and practices of futures studies, the journal seeks to examine possible and alternative futures of all human endeavours. Futures seeks to promote divergent and pluralistic visions, ideas and opinions about the future. The editors do not necessarily agree with the views expressed in the pages of Futures
期刊最新文献
Feminist urban futures: Envisioning the future of Ukrainian cities through the lens of the displaced community in Valencia (Spain) Imagined futures in sustainability transitions: Towards diverse future-making Temporality in the United Nations 2030 Agenda: development or rupture? From “snowflake generation” to “agents of social change”: Recognizing the voice of Spanish young people in the post-pandemic era The politics of transdisciplinary research on societal transitions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1