首页> 外文期刊>Telecommunications Policy >Regulating 'Caller ID:' emulation and learning in US state-level telecommunication policy processes
【24h】

Regulating 'Caller ID:' emulation and learning in US state-level telecommunication policy processes

机译:在美国州级电信政策流程中监管“呼叫者ID:”仿真和学习

获取原文
获取原文并翻译 | 示例
       

摘要

Analysis of the development of Calling Line Identification (CLID) Service (commonly described as "Caller ID") policy in all 51 state telecommunication regulatory agencies and the Federal Communications Commission over time shows state telecommunication policy to be embedded in complex emulation, learning and innovation processes. Our analysis shows a convergence around specific policy solutions at specific time periods, but the convergence points are shifted when commissions 'break from the pack' as a result of learning. CLID number-blocking solutions shift from low-privacy to high-privacy forms over time. The notion of a learning curve, whereby commissions and stakeholders learn about the new service over time utilizing discovery, interrogatory, cross-examination and other procedures, explains the direction of policy development. The likely mechanisms of policy convergence and divergence are discussed. The zigzags of federal policy on number blocking are explained utilizing Noll's external signals theory, the FCC's isolation from state-level policy networks, and federal pre-emption concerns.
机译:随着时间的推移,对所有51个州电信监管机构和联邦通信委员会中的呼叫线路识别(CLID)服务(通常称为“呼叫者ID”)政策的发展情况进行分析表明,州电信政策将嵌入复杂的仿真,学习和创新之中流程。我们的分析显示在特定时间段内围绕特定政策解决方案的趋同,但是当学习导致佣金“脱离包装”时,趋同点就会转移。随着时间的推移,CLID号码阻止解决方案已从低隐私形式转变为高隐私形式。学习曲线的概念,即委员会和利益相关者通过发现,询问,交叉询问和其他程序随时间了解新服务,解释了政策制定的方向。讨论了政策趋同和分歧的可能机制。利用Noll的外部信号理论,FCC与州级政策网络的隔离以及联邦先发制人的担忧,解释了联邦关于号码屏蔽的曲折形式。

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