How Does Knowledge Translation Involving (Non)Humans Influence the Adoption of Climate Change Solutions? The Case of Nature-Dependent Prosumers

IF 2.1 Q3 BUSINESS Journal of the Association for Consumer Research Pub Date : 2023-03-14 DOI:10.1086/724996
Andrés Barrios, Laurel A. Steinfield, S. Appau, Roland Gau, Charlene A. Dadzie
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引用次数: 2

Abstract

In this article we use actor-network theory to advance understandings of how nature-dependent “prosumers” adopt climate change solutions. Based on interviews with members from two subsistence farming communities in Colombia, we illustrate how knowledge about climate change and climate change solutions flows across intervention and response networks, formed by human and nonhuman actors, in a dialectical way—sometimes supporting and other times resulting in contradictions/betrayals that limit prosumers’ adoption of sustainable practices. These findings contribute to theories about the diffusion of innovations related to climate change, capturing how knowledge translations processes involves bureaucratic and grassroots knowledge from intervention networks that interacts with reflected knowledge from response networks. It also highlights the key role of nonhuman actors. Our findings offer insights for practitioners by illuminating multiple sources of knowledge and how their interaction can result in supportive versus detracting conditions that can affect whether consumers adopt climate change solutions.
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涉及(非)人类的知识翻译如何影响气候变化解决方案的采用?依赖自然的生产消费者案例
在这篇文章中,我们使用行动者网络理论来加深对依赖自然的“生产消费者”如何采用气候变化解决方案的理解。基于对哥伦比亚两个自给农业社区成员的采访,我们展示了有关气候变化和气候变化解决方案的知识如何在由人类和非人类行为者组成的干预和应对网络中流动,以辩证的方式——有时支持,有时导致矛盾/背叛,从而限制生产消费者采用可持续实践。这些发现有助于推动有关气候变化创新传播的理论,捕捉到知识翻译过程如何涉及干预网络的官僚和基层知识,这些知识与反应网络的反映知识相互作用。它还强调了非人类行为者的关键作用。我们的研究结果为从业者提供了见解,阐明了多种知识来源,以及他们的互动如何产生支持性和贬损性条件,从而影响消费者是否采用气候变化解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the Association for Consumer Research
Journal of the Association for Consumer Research Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
4.60
自引率
7.70%
发文量
54
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