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Sustainability, fuzzy-set and the hall of fame: Evolving research agenda

机译:可持续性、模糊集和名人堂:不断发展的研究议程

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摘要

Fuzzy-set methodologies have great potential in case-focused analyses. Based on the principles of asymmetry and equifinality, configurational methodologies allow us to overcome the limitations of other inferential statistical methodologies. Sustainability problems are heterogeneous, and fuzzy-sets are can be helpful for developing necessary sociotechnical transitions. This study performs a bibliometric analysis of the academic literature published in the Web of Science (WoS) Core Collection on fuzzy-set methodologies and their application to sustainability challenges. The start of the 2030 Agenda in January 2016 was used as a threshold to conduct comparative analysis of two sub-periods: 1984-2015 and 2016-2021. The results show that academic production and its impact strongly increased from 2016. The main collaboration networks are articulated around Asian, European, and North American countries. Moreover, since 2016, the main themes in academic debate are socio-technical transition strategies and fuzzy analysis of sustainability projects. Finally, this study sheds light on the research gaps and high-impact publication opportunities in this field. Journal editors can also consider the new research trends, highlighted in this study, which emerged after the 2030 Agenda.
机译:模糊集方法在以案例为中心的分析中具有巨大的潜力。基于不对称和等位原则,配置方法使我们能够克服其他推论统计方法的局限性。可持续性问题是异质的,模糊集有助于发展必要的社会技术转型。本研究对 Web of Science (WoS) 核心合集中发表的关于模糊集方法及其在可持续性挑战中的应用的学术文献进行了文献计量分析。2016 年 1 月《2030 年议程》的启动被用作对 1984-2015 年和 2016-2021 年两个子时期进行比较分析的门槛。结果显示,与2016年相比,学术成果及其影响显著增加。主要的合作网络遍布亚洲、欧洲和北美国家。此外,自 2016 年以来,学术辩论的主题是社会技术转型战略和对可持续发展项目的模糊分析。最后,本研究揭示了该领域的研究差距和高影响力的发表机会。期刊编辑还可以考虑本研究中强调的新研究趋势,这些趋势是在 2030 年议程之后出现的。

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