Sustainable Digital Marketing Under Big Data: An AI Random Forest Model Approach-Reference-Cited by-同舟云学术

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Sustainable Digital Marketing Under Big Data: An AI Random Forest Model Approach

Published:2024 Issue: Volume:71 Page:3566-3579
ISSN:0018-9391
Container-title:IEEE Transactions on Engineering Management
language:
Short-container-title:IEEE Trans. Eng. Manage.

Author:

Jin Keyan¹,Zhong Zoe Ziqi²^ORCID,Zhao Elena Yifei³

Affiliation:

1. Department of Quantitative Methods in Economics and Business, University of Granada, Ceuta, Spain

2. Department of Management, London School of Economics and Political Science, London, U.K.

3. Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, CA, USA

Funder

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/17/10339242/10379112.pdf?arnumber=10379112

Reference64 articles.

1. Comprehensive Survey of Big Data Mining Approaches in Cloud Systems

2. Hybrid artificial neural network and structural equation modelling techniques: a survey

3. Beyond technology acceptance: Development and evaluation of technology-environmental, economic, and social sustainability theory

4. Visualisation of global research trends and future research directions of digital marketing in small and medium enterprises using bibliometric analysis

5. Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review

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1. Research on Business Model Innovation of Media Industry in the Era of “Internet+”;International Journal of e-Collaboration;2024-07-30

2. Tracing the Ethical and Social Dimensions of AI in Marketing;Advances in Marketing, Customer Relationship Management, and E-Services;2024-07-26

3. The Economic Dynamics of Desktop and Mobile Customer Analytics in Advancing Digital Branding Strategies: Insights from the Agri-Food Industry;Sustainability;2024-07-09

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