ITR/PE+AP Strategic Positioning in Information Product Space

ITR/PE AP 信息产品领域战略定位

• 批准号: 0112669
• 负责人: Edmund Durfee
• 金额: $ 15万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0112669&HistoricalAwards=false
• 关键词: ITR; PE+AP; Strategic; Positioning; Information

Networked information technology has led to unprecedented opportunities for exchanging information in a population of participants whose interests and needs vary over time. In particular, this project concerns populations of consumers looking for information products, and producers who possess products that others might be seeking. Substantial research has gone into studying how producers and consumers can settle the terms of a transaction for a particular good. However, there are many possible variations and combinations of information products and their prices that can be offered. A critical and poorly understood problem is how parties should position themselves in this vast information product and price space to differentiate themselves from competitors and attract those with whom they should transact. To address this problem, the investigators will use economic analysis and computer simulation to study how producers of information goods can learn to position themselves based on criteria such as price schedules and information content, and can adapt to changing consumer tastes where consumers might be making strategic buying decisions to affect producer positioning. This project will extend economic theory to account for these concerns, and create computational agents that can make adaptive, strategic decisions about product positioning.

联网的信息技术为参与者带来了前所未有的交流信息的机会，他们的兴趣和需求随着时间的推移而变化。特别是，这个项目涉及寻找信息产品的消费者群体，以及拥有其他人可能正在寻找的产品的生产者。在研究生产者和消费者如何就特定商品的交易条款达成协议方面，已经进行了大量研究。然而，有许多可能的变化和组合的信息产品及其价格可以提供。一个关键但鲜为人知的问题是，各方应该如何在这个巨大的信息、产品和价格空间中定位自己，使自己与竞争对手区分开来，并吸引那些应该与之进行交易的人。为了解决这个问题，调查人员将使用经济分析和计算机模拟来研究信息产品的生产商如何学习根据价目表和信息内容等标准来定位自己，并能够适应不断变化的消费者品味，因为消费者可能正在做出战略性购买决策，以影响生产商的定位。该项目将扩展经济学理论来解释这些问题，并创建能够做出关于产品定位的适应性战略决策的计算代理。