How artificial intelligence will change the future of marketing
Как искусственный интеллект изменит будущее маркетинга
2019-10-10
SCID: 54.1/7xhq9fyn
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AI-augmented managementartificial intelligencecustomer behaviormarketing strategiesprivacy, bias and ethics
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Abstract (AI)
Abstract In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments (rather than replaces) human managers.
Key Findings
1
AI is argued to be more effective when augmenting rather than replacing human managers.
2
AI is expected to substantially transform marketing strategies and customer behaviors in the future.
3
The framework combines three dimensions that prior research typically examines only partially.
4
The paper introduces an integrated framework analyzing AI through intelligence levels, task types, and whether AI is embedded in a robot.
5
The proposed research agenda addresses future changes in marketing and customer behavior alongside privacy, bias, and ethical policy concerns.
Research Object
Artificial intelligence as applied to marketing strategies and customer interactions
Research Subject
its impact on marketing strategies and customer behaviors, including implications for privacy, bias, ethics, and human-manager augmentation
Publication Details
Publication Date
2019-10-10
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References available in scid.ai6
Artificial Intelligence in Service2018
Reinforcement learning in robotics: A survey2013
Brave new world: service robots in the frontline2018
Resistance to Medical Artificial Intelligence2019
Service Robots Rising: How Humanoid Robots Influence Service Experiences and Elicit Compensatory Consumer Responses2019
Gender differences in risk taking: A meta-analysis.1999
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