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Cultural dissimilarity: Boon or bane for technology diffusion?

机译：文化差异：技术传播的利好还是弊端？

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The paper provides a theoretical model of technology adoption based on the idea that the diffusion of information about a technology depends both on the social structure of the adopters and their degree of assortativity. We propose a framework that - while retaining the core assumptions of epidemic diffusion models allows for explicit modelling of the social structure via social network and of agents cultural heterogeneity via agent-based simulation. Decision-making takes place in institutional contexts where individual features trigger differentiated imitative responses and societal organization acts as medium on which information flows. The model simulates the diffusion of fertilizers in five Ethiopian villages (Peasant Associations), which differ in both political and relational structures and farmers belong to numerous ethnic and religious groups. Starting from survey data we run a compositional understanding simulation with the aim of reproducing observed diffusion curves on the basis of unobserved individual interactions. By minimizing the divergence from model output and observed diffusion, the exercise of categorical calibration and time series fit identify a set of plausible parameters for each village. Results highlight the importance of cultural dissimilarities to understand the diffusion processes.
机译：本文基于以下技术思想提供了技术采用的理论模型：关于技术的信息的传播既取决于采用者的社会结构，也取决于他们的分类程度。我们提出一个框架，该框架在保留流行扩散模型的核心假设的同时，允许通过社交网络对社会结构进行显式建模，并通过基于代理的模拟对代理文化异质性进行显式建模。决策是在机构环境中进行的，其中个人特征触发了不同的模仿反应，而社会组织则充当了信息流动的媒介。该模型模拟了肥料在五个埃塞俄比亚村庄（农民协会）中的扩散，这些村庄的政治和关系结构均不同，农民属于众多种族和宗教群体。从调查数据开始，我们进行了成分理解模拟，目的是在未观察到的个体相互作用的基础上重现观察到的扩散曲线。通过最小化与模型输出和观察到的扩散的差异，分类校准和时间序列拟合的练习为每个村庄确定了一组合理的参数。结果强调了文化差异对理解传播过程的重要性。

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