The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods-Reference-Cited by-同舟云学术

The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods

Published:2022-01-07 Issue: Volume: Page:
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Birim Sule^ORCID,Kazancoglu Ipek^ORCID,Mangla Sachin Kumar^ORCID,Kahraman Aysun^ORCID,Kazancoglu Yigit^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

https://link.springer.com/content/pdf/10.1007/s10479-021-04429-x.pdf

Reference181 articles.

1. Aamer, A., Eka Yani, L., & Alan Priyatna, I. (2020). Data analytics in the supply chain management: Review of machine learning applications in demand forecasting. Operations and Supply Chain Management: An International Journal, 14(1), 1–13.

2. Aamer, A., Eka Yani, L., & Alan Priyatna, I. (2021). Data analytics in the supply chainmanagement: Review of machine learning applications in demand forecasting. Operations and Supply Chain Management: An International Journal, 14(1), 1–13.

3. Abkenar, S. B., Haghi Kashani, M., Mahdipour, E., & Mahdi Jameii, S. (2020). Big data analytics meets social media: A systematic review of techniques, open issues, and future directions. Telematics and Informatics, 101517

4. Abbasimehr, H., Shabani, M., & Yousefi, M. (2020). An optimized model using LSTM network for demand forecasting. Computers and Industrial Engineering, 143, 106435.

5. Abolghasemi, M., Beh, E., Tarr, G., & Gerlach, R. (2020). Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion. Computers and Industrial Engineering, 142, 106380.

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI in Market Research;Exploring the Intersection of AI and Human Resources Management;2023-12-29

2. Causal aware parameterized quantum stochastic gradient descent for analyzing marketing advertisements and sales forecasting;Information Processing & Management;2023-09

3. Sales' Forecasting Based on Big Data and Machine Learning Analysis;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03

4. Application of Machine Learning Techniques to Predict Visitors to the Tourist Attractions of the Moche Route in Peru;Sustainability;2023-06-01

5. On the value of shipment consolidation and machine learning techniques for the optimal design of a multimodal logistics network;INFOR: Information Systems and Operational Research;2023-04-26