Open Access
Issue |
SHS Web Conf.
Volume 208, 2024
2024 International Workshop on Digital Strategic Management (DSM 2024)
|
|
---|---|---|
Article Number | 04014 | |
Number of page(s) | 8 | |
Section | Chapter 4: Digital Management Case Studies | |
DOI | https://doi.org/10.1051/shsconf/202420804014 | |
Published online | 12 December 2024 |
- J. Smith, Sales Prediction in the Retail Industry Using Machine Learning, J. Retailing 97, 234-245 (2020) https://doi.org/10.1016/j.jretai.2020.05.012. [Google Scholar]
- A. Johnson, Analyzing and Predicting the Sales Forecasting using Modified Random Forest and Decision Tree Algorithm, Data Sci. J. 19, 16-28 (2021) https://doi.org/10.5334/dsj-2021-004. [Google Scholar]
- S. Davis, Machine Learning for Revenue Forecasting, (Springer, New York, 2022). [Google Scholar]
- R. Wilson, Effects of Online Advertising on Automobile Sales, Marketing Insights 15, 45-60 (2019) https://doi.org/10.1080/0267257X.2018.1512034. [Google Scholar]
- L. Chen, Diagnosing Multicollinearity of Logistic Regression Model, Stat. Anal. 42, 112-125 (2020) https://doi.org/10.1007/s11009-020-09765-9. [Google Scholar]
- M. Brown, Sales Forecasting Techniques for Tech Enterprises, Bus. Forecast. Rev. 31, 58-72 (2021) https://doi.org/10.1080/07551020.2021.1918536. [Google Scholar]
- N. Patel, Revenue Prediction Using Machine Learning Algorithms, Tech. Forecast. 24, 78-90 (2022) https://doi.org/10.1016/j.techfore.2022.01.004. [Google Scholar]
- H. Zhang, Refining Pricing Models for Tech Firms, Econ. Anal. 18, 89-101 (2019) https://doi.org/10.1080/01436597.2019.1668792. [Google Scholar]
- K. Lee, The Impact of Advertising on Sales Volume: A Comparative Study, J. Ad. Res. 39, 22-35 (2020) https://doi.org/10.2501/JAR-2020-011. [Google Scholar]
- D. Thompson, Advanced Methods in Sales Forecasting, (Academic Press, London, 2018). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.