SGER: Identifying Triggers for Collaborative Information Behavior: A Field Study of Rural Healthcare IT Teams

SGER：识别协作信息行为的触发因素：农村医疗保健 IT 团队的实地研究

• 批准号: 0742860
• 负责人: Madhu Reddy
• 金额: --
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0742860&HistoricalAwards=false
• 关键词: SGER; Identifying; Triggers; Collaborative; Information

In modern organizations, people must work together to find and share information, to locate expertise, and to carry out a wide variety of information activities. However, in these collaborative environments, information behavior is still viewed from a primarily individual perspective. This misperception has lead to organizations creating processes and technologies that facilitate and support individual information behavior, but not collaborative information behavior (CIB). Few researchers have focused on the role that collaboration plays in information seeking and retrieval activities. This proposal addresses two critical questions: (1) What triggers collaborative information behavior? (2) How do team members respond to these triggers?The goal of this research is to refine an emerging analytical model of collaborative information behavior by focusing on CIB triggers in a medical context. An ethnographic study will be conducted among distributed IT teams in a regional center and surrounding rural hospitals. The contributions of the project will be the identification of different categories of CIB triggers, an improved understanding of CIB, design criteria to support the development of collaborative information retrieval tools.Broader impacts A deeper conceptual understanding of CIB triggers and how people respond to them can lead to improving collaborative practices as people seek and share information needed to address critical issues in different environments. This improved understanding will also lead to the development of more robust information retrieval systems that will support collaboration amongst users during information seeking and retrieval activities. This will address the issues that are limiting, and in some cases, preventing people from effectively and efficiently using the vast amount of information content available to people as they collaborate to solve problems.

在现代组织中，人们必须共同努力寻找和共享信息，寻找专业知识，并开展各种各样的信息活动。然而，在这些协作环境中，信息行为仍然主要从个人的角度来看。这种误解导致组织创建促进和支持个人信息行为的流程和技术，而不是协作信息行为（CIB）。很少有研究者关注协作在信息寻求和检索活动中所起的作用。这个建议解决了两个关键问题：（1）是什么触发了协作信息行为？(2)团队成员如何应对这些触发因素？本研究的目标是完善一个新兴的分析模型的协作信息行为，专注于CIB触发器在医疗方面。将在区域中心和周边农村医院的分布式IT团队中进行人种学研究。该项目的贡献将是识别不同类别的CIB触发器，提高对CIB的理解，设计标准，以支持合作信息检索工具的开发。更广泛的影响CIB触发器和人们如何响应他们的更深层次的概念性理解可以导致改善合作的做法，因为人们寻求和分享所需的信息，以解决关键问题，在不同的环境。这种更好的理解也将导致更强大的信息检索系统的发展，将支持用户之间的合作，在信息搜索和检索活动。这将解决限制问题，在某些情况下，阻止人们有效和高效地使用大量的信息内容，因为他们合作解决问题。