感性与理性:巨型项目开发的叙事策略

Lama (Al) Arda , Giovanni Esposito , Rens Wilderom
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引用次数: 0

摘要

本研究探讨了政策制定者的不同叙事策略如何影响公民对大型项目的态度,进而影响其发展。通过对里昂-都灵铁路线的深入案例研究,我们发现了两种不同的叙事理想类型:享乐型叙事和工具型叙事。我们的研究结果表明,这些策略既影响理性思维(理智),也影响情感参与(感性)。享乐型叙事会对公民的态度产生负面影响,使他们感到不确定,从而导致他们反对该项目;而工具型叙事则会对公民的态度产生积极影响,使他们了解相关信息,从而导致他们支持该项目。因此,我们的研究结果凸显了采用不同叙事策略的重要性,以及在两种制度背景下,针对超大项目调动不同叙事策略所产生的不同效果。此外,我们的研究还采用了一种新颖的综合方法--潜狄利克特算法(LDA),并结合定性方法来深入了解巨型项目中利益相关者行为的复杂动态,从而为本特刊做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sense and sensibility: Narrative strategies shaping megaproject development

This study examines how policymakers’ different narrative strategies influence citizens’ attitudes towards megaprojects thus shaping their development. Drawing on an in-depth case study about the Lyon-Turin trainline, we identify two distinct narrative ideal-types: hedonic narrative and instrumental narrative. Our findings demonstrate that these strategies influence both rational thinking (sense) and emotional engagement (sensibility). Hedonic narratives can have a negative impact on citizens’ attitudes by making them feel uncertain and consequently leading them to oppose the project, while instrumental narratives can have positive impact on citizens’ attitudes by making them informed and consequently leading them to supporting the project. Therefore, our findings highlight the significance of employing different narrative strategies, and the different effects of mobilizing the different narrative strategies vis-a-vis megaprojects in two institutional contexts. In addition, our study contributed to this special issue by mobilizing a novel comprehensive methodological approach Latent Dirichlet Algorithm (LDA), along with qualitative methods to gain insights into the complex dynamics of stakeholder behavior in megaprojects.

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