Automating Guidance and Response for Group Decision-Making

群体决策的自动化指导和响应

• 批准号: 9321018
• 负责人: Marshall Poole
• 金额: $ 11.06万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-04-01 至 1995-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9321018&HistoricalAwards=false
• 关键词: Automating; Guidance; Response; Group; Decision

Current advances in computer and information technologies suggest a growing opportunity to combine automated systems and other management arrangements such as self-managed groups and teams. This project explores the possibilities of constructing an automated computerized group decision support system (GDSS) to help groups manage their decision-making processes more effectively. Ideally such a system would provide guidance for a group, diagnose problems and opportunities and have response and intervention capabilities. Current theory and research provide a body of rules and findings, but no integrative framework or model to underpin such an effort. This study develops a formal representation of group decision-making processes. Using this representation, the project identifies cues which discriminate between effective and ineffective decision-making processes for different types of decision tasks. The study also addresses the impacts of GDSS guidance and response on group decision making and its comparative advantages to facilitation or other "human" forms of guidance. Data to develop and test the model come from laboratory experiments and a large set of recorded team meetings from two organizations. An obvious extension of this effort is a prototype GDSS; however, the more immediate contribution of the project is basic knowledge about group decision making using an inclusive theory of group processes which emphasizes key content and process variables and their interrelations.

目前计算机和信息技术的进步表明，将联合收割机自动化系统与其他管理安排，如自我管理的团体和团队结合起来的机会越来越大。 本计画探讨建构一个自动化的电脑化群体决策支援系统（GDSS），以协助群体更有效地管理其决策过程。 理想的情况是，这样一个系统将为一个群体提供指导，诊断问题和机会，并具有反应和干预能力。 目前的理论和研究提供了一套规则和发现，但没有综合框架或模型来支持这种努力。 本研究开发了一个正式的表示群体决策过程。 使用这种表示，该项目确定线索区分有效和无效的决策过程中不同类型的决策任务。 该研究还讨论了群体决策支持系统的指导和响应的影响，以及其相对于促进或其他“人类”形式的指导的比较优势。 开发和测试模型的数据来自实验室实验和来自两个组织的大量记录团队会议。 这一努力的一个明显的延伸是一个原型GDSS，然而，该项目更直接的贡献是基本的知识，群体决策使用的包容性理论的群体过程，强调关键内容和过程变量及其相互关系。