Collaborative Research: DRU: Consumer Choice and Organizational Decision-Making

合作研究：DRU：消费者选择和组织决策

• 批准号: 0624202
• 负责人: Wedad Elmaghraby
• 金额: $ 8.28万
• 依托单位: University of Maryland, College 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: 2007-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0624202&HistoricalAwards=false
• 关键词: Collaborative; Research; DRU; Consumer; Choice

Understanding human behavior is a critical component of guiding organizational decisions and predicting outcomes of government programs and of private sector pricing and supply decisions. Both public and private organizations interact with individuals in complex decision environments. We study individual and strategic decision-making in naturally occurring situations involving ambiguous and asymmetric information with small and large stakes. We will take advantage of the cooperation of major private industries in providing us with a wealth of data on consumer behavior and in allowing us to run real-world experiments to validate behavioral theories. The proposed experiments will be highly controlled but will occur in natural settings, making findings easier to generalize to other social situations. The analysis of consumer data will take advantageof recent developments in analysis of decision making in strategic situations. This research will be complemented with laboratory experiments where new economic and institutional designs will be developed and tested. Conceptually, there are three main contributions of this work. First, we tackle identification problems common in the social sciences by designing real-world experiments and analyzing experiments that occur naturally in the private sector.Second, we bridge the gap between human behavior and organizational decisions (as revealed through demand and supply decisions) by integrating elements of individuals' behavior into supply models. Third, we develop statistical choice models that better incorporate individual idiosyncrasies in decisions making and strategic behavior.

理解人类行为是指导组织决策和预测政府项目结果以及私营部门定价和供应决策的关键组成部分。公共和私人组织都在复杂的决策环境中与个人互动。我们研究在自然发生的情况下的个人和战略决策，包括小赌注和大赌注的模糊和不对称信息。我们将利用与主要私营企业的合作，为我们提供丰富的消费者行为数据，并允许我们进行现实世界的实验，以验证行为理论。拟议中的实验将受到高度控制，但将在自然环境中进行，使研究结果更容易推广到其他社会情境。消费者数据的分析将利用战略情况下决策分析的最新发展。这项研究将辅以实验室实验，在那里将发展和测试新的经济和制度设计。从概念上讲，这项工作有三个主要贡献。首先，我们通过设计真实世界的实验和分析在私营部门自然发生的实验来解决社会科学中常见的识别问题。其次，我们通过将个人行为的元素整合到供给模型中，弥合了人类行为和组织决策之间的差距（通过需求和供给决策揭示）。第三，我们开发了统计选择模型，更好地将个人特质纳入决策和战略行为。