The impact of AI-powered technologies on aesthetic, cognitive and affective experience dimensions: a connected store experiment

独创性 背景(考古学) 营销 全渠道 认知 样品(材料) 广告 情感(语言学) 业务 结构方程建模 心理学 计算机科学 社会心理学 创造力 古生物学 化学 沟通 色谱法 神经科学 生物 机器学习
作者
Mehdi El Abed,Adrián Castro-López
出处
期刊:Asia Pacific Journal of Marketing and Logistics [Emerald Publishing Limited]
卷期号:36 (3): 715-735 被引量:32
标识
DOI:10.1108/apjml-02-2023-0109
摘要

Purpose Digitalization is revolutionizing the retail sector as today's consumers prefer a seamlessly integrated, fluid and irritation-free shopping experience enhanced with artificial intelligence (AI)-powered technologies. Literature highlights gaps in the understanding of the shopping experience in an omnichannel context, involving aesthetic, cognitive and affective experience dimensions. This research highlights the direct effects and the mechanism triggered in the presence of such device. Design/methodology/approach A sample of 259 consumers was interviewed at the point of sale. Data have been collected after a shopping experience in two concept stores belonging to the same fashion brand: (1) not equipped with AI-powered technology and (2) equipped with these tools. The measurement scales were validated through ANCOVA analysis and causal relationship analysis with structural equation modeling. Findings The results show that the presence of an in-store AI-powered technologies in a connected store generates a higher aesthetic reaction when visiting the store, a higher absorption when shopping through the flow and a higher intent to purchase. The authors further investigate the underlying mechanism triggered by the presence of this technology, which enables the authors to outline their consequences regarding purchase intention. Originality/value The study, conducted within an actual connected store in France, explores the impact of AI technology in connected retail environments on consumer responses. It is an early research in this field, shedding light on a rarely explored area. The authors’ research addresses a significant gap, providing insights into AI-driven retail experiences.
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