多样性(政治)
一致性(知识库)
政府(语言学)
偏爱
2019年冠状病毒病(COVID-19)
营销
业务
动作(物理)
计算机科学
计量经济学
经济
微观经济学
社会学
人工智能
病理
传染病(医学专业)
哲学
物理
疾病
医学
量子力学
语言学
人类学
作者
Yuanfang Lin,Amit Pazgal
标识
DOI:10.1016/j.jretconser.2023.103652
摘要
This paper presents a synthesized theoretical framework based on rational updating to predict the impact of information acquisition on consumers facing complex uncertainty. A larger number of information pieces obtained, and greater consistency across sources are found to increase a consumer's propensity of taking the optimal action. Hypotheses from the theoretical model are empirically validated using data from an online survey completed by 303 participants during one week in the early COVID-19 outbreak. Findings from this research have significant implications for government and business organizations in anticipating consumers' actions and developing communication strategies when operating under catastrophic events with complex uncertainties.
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