能见度
心态
解释水平理论
分类
心理学
透视图(图形)
集合(抽象数据类型)
空气污染
实证研究
社会心理学
营销
计算机科学
地理
业务
生态学
数学
气象学
人工智能
生物
统计
程序设计语言
作者
Ying Ding,Jiaqi Zhong,Guoqing Guo,Fengchao Chen
摘要
Abstract Although ample research has recognized air pollution as a severe threat to human health and emotion, little research has been conducted on its impact on consumers' information‐processing style. This study explores the effect of reduced visibility caused by air pollution on the construal level adopted by consumers. Specifically, we document how low visibility caused by air pollution makes people more inclined to adopt an abstract mindset, whereas high visibility on a clean day makes people more inclined to adopt a concrete mindset. Across a set of three field studies and one laboratory experiment, we employ alternate measures of construal level: behavioral identification index (Studies 1 and 4) and categorization task (Study 2). Our research provides empirical evidence of the proposed effect and rules out alternative explanations. Additionally, as a downstream consequence, reduced visibility due to air pollution causes individuals to favor desirability over feasibility in product trade‐offs (Study 3). Our findings shed new light on construal level theory from an ecological perspective and provide meaningful marketing suggestions.
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