营销
背景(考古学)
产品(数学)
消费者行为
体验式学习
不可见的
业务
选择(遗传算法)
心理学
经济
计算机科学
古生物学
几何学
数学
数学教育
人工智能
计量经济学
生物
作者
Soumya Mukhopadhyay,Akshaya Vijayalakshmi,Shailendra Pratap Jain
标识
DOI:10.1016/j.jretai.2023.08.004
摘要
Understanding purchase motivations is vital but challenging due to their unobservable, concomitant, and dynamic nature. Recent research has proposed frameworks to examine their impact on choice by treating motivations as latent states. This study contributes to this line of research by introducing the notion of “episode-specific motive adjustment,” that accounts for variations in consumers' willingness to pursue specific motives during a shopping trip. Utilizing this concept, the study uncovers valuable insights into how different types of purchase motivations influence consumer product interactions and choices. Analyzing a comprehensive dataset from multiple Indian cities, the research contributes to a theoretical understanding of and practical applications for businesses seeking to comprehend and influence consumer behavior. Theoretically, we show that consumers display diverse patterns of in-store product engagement behavior as they adjust the intensity of instrumental and experiential motives across purchase episodes. Furthermore, we illustrate that the relationship between willingness to pursue a motive (motive intensity) and the likelihood of making a choice follows distinct functional patterns. We highlight the significance of considering individual-level heterogeneity and dynamic behavioral patterns to enhance consumer experiences and purchase decisions. Practically, this research identifies the key drivers that influence motive intensity in stores, providing managers with insights to optimize store layouts and effectively influence consumer purchase motives that align with their business objectives. Emphasis is placed on context-specific strategies, as the impact of these drivers varies with purchase context.
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