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Sustainable digital content model development for a small organization using network analysis.

机译:使用网络分析为小型组织进行可持续的数字内容模型开发。

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摘要

There is already an established, growing body of work dedicated to the study of digital writing practices within organizations; however, it is less common to find examples of this work focused on small, resource-lean organizations that are not "writing centered." Such organizations pose unique problems. Due to pre-existing conditions, these organizations may be unable to keep their digital content current and relevant to their audiences, resulting in missed opportunities for growth. The examples used throughout the thesis result from qualitative research conducted at the Michigan State University Student Organic Farm (MSUSOF) coinciding with a website redesign project. Interviews and a collaborative design process were conducted to gather certain types of information. Stories and practices from the MSUSOF provide a backdrop as this thesis explains an emerging sustainable content model in three steps: First, the pre-existing conditions that lead to an untenable website are explained by means of actor-network theory. Second, specific examples are explored in detail through an activity theory based approach that reveals how circumstances intertwine to make increasingly complex obstacles. Finally, some ideas are offered for moving an organization towards a sustainable content model.
机译:已经有一个成熟的工作机构致力于组织内部的数字写作实践的研究。但是,找到针对非“以写作为中心”的,资源匮乏的小型组织的工作实例的情况并不常见。这样的组织提出了独特的问题。由于先前的条件,这些组织可能无法使其数字内容保持最新状态并与受众相关,从而导致错过增长机会。整个论文中使用的示例来自密歇根州立大学学生有机农场(MSUSOF)进行的定性研究,同时还进行了网站重新设计项目。进行了访谈和协作设计过程,以收集某些类型的信息。 MSUSOF的故事和实践提供了一个背景,因为本论文分三步解释了一个新兴的可持续内容模型:首先,通过参与者网络理论解释了导致网站站不住脚的现有条件。其次,通过基于活动理论的方法详细探讨了具体示例,该方法揭示了环境如何交织在一起以构成日益复杂的障碍。最后,提出了一些想法,以使组织朝着可持续的内容模型发展。

著录项

  • 作者

    Harder, Jeremy Alan.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Web Studies.;Mass Communications.
  • 学位 M.A.
  • 年度 2011
  • 页码 83 p.
  • 总页数 83
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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