• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Technological forecasting and social change >Foresight by online communities - The case of renewable energies Michael A. Zeng
【24h】

Foresight by online communities - The case of renewable energies Michael A. Zeng

机译：在线社区的远见-可再生能源案例Michael A. Zeng

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Web 2.0 offers manifold ways in order to integrate community members via online communities (OCs) for innovation processes. OCs prove to be a valuable and dynamic source of information. External information sources are also important for foresight in order to be able to identify and monitor all relevant changes. However, traditional foresight methods are rather static in comparison with dynamic OCs. Thus, this study gives first insights into the use of OCs for foresight. First, based on literature, it is conceptually shown that OCs can contribute to foresight. Second, the question of how to assess the potential of OCs for foresight is considered. Renewable energies OCs are identified using a netnographic approach. One selected OC is analyzed in-depth by applying a prior developed criteria catalog which is based on Popper's (2008) foresight diamond. Each of its four dimensions - creativity, expertise, interaction, and evidence - is operationalized with measurement items taken from literature. In particular, the evidence dimension is supported by a text mining approach. Lastly, a focus group interview proves the usefulness of OCs for foresight. The findings show that OCs can contribute to each dimension of the foresight diamond and serve as an additional source of information for foresight.
机译：Web 2.0提供了多种方式，以便通过在线社区（OC）集成社区成员以进行创新过程。事实证明，OC是有价值的动态信息源。外部信息源对于预见也很重要，以便能够识别和监视所有相关的更改。但是，与动态OC相比，传统的预见方法相当静态。因此，本研究为使用OC进行预见提供了第一见解。首先，根据文献，从概念上证明了OC可以促进远见。第二，考虑如何评估法人的远见。可再生能源OCs使用网络志方法进行识别。一个选定的OC通过应用基于Popper（2008）预见性钻石的先前开发的标准目录进行深入分析。它的四个维度-创造力，专业知识，互动和证据中的每一个-均采用从文献中得出的测量项目进行操作。特别地，证据维度由文本挖掘方法支持。最后，一次焦点小组访谈证明了法人团体进行预见的有用性。研究结果表明，OCs可以为预见性钻石的各个方面做出贡献，并且可以作为预见性信息的额外来源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号