Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing-Reference-Cited by-同舟云学术

Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing

Published:2021-01-02 Issue:1 Volume:29 Page:65-77
ISSN:1069-6679
Container-title:Journal of Marketing Theory and Practice
language:en
Short-container-title:Journal of Marketing Theory and Practice

Author:

Hair Joseph F.¹,Sarstedt Marko²³

Affiliation:

1. Marketing and Quantitative Methods Department, University of South Alabama, Mobile, Alabama, USA

2. Consumer Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany

3. School of Business and Global Asia in the 21st Century Research Platform, Monash University Malaysia, Petaling Jaya, Selangor, Malaysia

Funder

financial support

Publisher

Informa UK Limited

Subject

Marketing

Link

https://www.tandfonline.com/doi/pdf/10.1080/10696679.2020.1860683

Reference110 articles.

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4. Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J. & Mane, D. (2016). Concrete problems in AI safety. http://zhaoshuaijiang.com/file/deep_speech2.pdf

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