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A Framework for Collaborative Artificial Intelligence in Marketing

delete2022-06-01
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PRE
AI
M
Ming‐Hui Huang *
R
Roland T. Rust
DOI:10.1016/j.jretai.2021.03.001delete
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摘要

摘要

En 中文
We develop a conceptual framework for collaborative artificial intelligence (AI) in marketing, providing systematic guidance for how human marketers and consumers can team up with AI, which has profound implications for retailing, which is the interface between marketers and consumers. Drawing from the multiple intelligences view that AI advances from mechanical, to thinking, to feeling intelligence (based on how difficult for AI to mimic human intelligences), the framework posits that collaboration between AI and HI (human marketers and consumers) can be achieved by 1) recognizing the respective strengths of AI and HI, 2) having lower-level AI augmenting higher-level HI, and 3) moving HI to a higher intelligence level when AI automates the lower level. Implications for marketers, consumers, and researchers are derived. Marketers should optimize the mix and timing of AI-HI marketing team, consumers should understand the complementarity between AI and HI strengths for informed consumption decisions, and researchers can investigate innovative approaches to and boundary conditions of collaborative intelligence. (C) 2021 New York University. Published by Elsevier Inc. All rights reserved.
Keyword:
Artificial intelligence
Collaborative AI
Collaborative intelligence
Augmentation
Replacement
AI总结

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期刊

Journal of Retailing 封面图
Journal of Retailing
IF:
10.2
论文数:
1.2K
被引数:
9.2K

机构

N
National Taiwan University
学者数:
4.7W
论文数: 4.2W
被引数: 3.6W
University System of Maryland 封面图
University System of Maryland
学者数:
6.4W
论文数: 5.6W
被引数: 113
引用论文

引用论文

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