Artificial Intelligence-Enabled Environmental Sustainability of Products: Marketing Benefits and Their Variation by Consumer, Location, and Product Types
Artificial Intelligence-Enabled Environmental Sustainability of Products: Marketing Benefits and Their Variation by Consumer, Location, and Product Types
复制标题
人工智能支持的产品环境可持续性:营销效益及其因消费者、地点和产品类型而异
DOI:
10.1016/j.jclepro.2020.125242
复制
发表时间:
2021
影响因子:
11.1
通讯作者:
B. Frank
中科院分区:
文献类型:
--
作者:
Satoshi Taguchi;Kazunari Miwa;and Tatsushi Yamamoto;石井 晋;石川知子;B. Frank
Firms are developing AI-enhanced products (e.g., robots) that can tackle environmental problems through autonomous interactions with their surroundings (e.g., removing waste/pollutants, tracking invasive species) and autonomous learning, which results in improved environmental performance characteristics. Such autonomous environmental benefits of products differ from conventional, static environmental benefits, which derive from pre-purchase processes and design decisions. However, the literature still lacks knowledge of how to use such autonomous environmental benefits to attract new customers. Therefore, drawing on signaling theory, this study examines the effect of these environmental benefits on a consumer’s purchase intent and its variation across types of consumers, locations, and products. Based on hierarchical linear modeling of 1635 consumer evaluations of AI-enhanced products, this study finds that both static and autonomous perceived environmental benefits influence purchase intent positively. The effect of autonomous environmental benefits is stronger for women than for men and for products targeted at adults rather than children. The effect of static environmental benefits is stronger for men than women, for products targeted at children rather than adults, for consumers with a higher need for cognition, and in locations with a higher perceived environmental well-being.