面向所有人的互联网连接:社区网络模式的探索

Esmerelda Presens, S. Pather
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引用次数: 1

摘要

在许多国家,宽带互联网接入和使用的不平等在农村和偏远地区最为突出。很明显,主流电信公司的盈利模式无法解决这种严重不平等的状态。文献中有证据表明,社区网络具有解决这一数字鸿沟的潜力。然而,在组成社区网络的更广泛的生态系统中,关于什么是关键成功因素的可用模型和指导方针有限。鉴于此,本文对最近汇编的社区网络案例研究纲要的子集进行了定性分析,重点是北美和欧洲地区。根据文献,人、技术、组织和环境(PTOE)框架是在对先前模型的综合基础上发展起来的。PTOE框架被用作分析选定案例研究的镜头。研究结果展示了社区网络生态系统的一系列要素,从微观到宏观的角度考察了与网络实施和可持续性相关的关键成功因素。研究结果表明,关键的成功因素包括对技术的信任、公众支持、协作能力、获取、适当性、技术可负担性以及监测和评估机制。由此产生的框架为评估其他环境和地区的社区网络提供了一个模型。该模型还可以作为社区网络未来实现的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards internet connectivity for all: an exploration of a community network model
Unequal access to and usage of broadband internet in many countries are most prominent in rural and remote areas. It has become clear that the for-profit models of mainstream telecommunications companies will not address this state of gross inequality. There is evidence in the literature that Community Networks have the potential to address this digital divide. However there are limited models and guidelines available on what comprises the critical success factors within the broader ecosystem that comprise Community Networks. In light of this, this paper undertakes a qualitative analysis of subset of a recently compiled compendium of Community Network Case studies with a focus on North American and European regions. Drawing on the literature the People, Technology, Organisation and Environment (PTOE) framework was developed out of a synthesis of previous models. The PTOE framework is used as the lens to analyse the selected case studies. The findings present a range of elements of the Community Network ecosystem, which traverses the micro to the macro perspectives of critical success factors that relate to network implementation and sustainability. The findings indicate that the critical success factors include, amongst others, trust in technology, public support, collaborative capacity, access, appropriateness, technology affordability, and monitoring and evaluation mechanisms. The resultant framework provides a model for evaluating Community Networks in other settings and geographies. The model also serves as a basis to inform future implementations of Community Networks.
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