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Ramos, F.R., Martinez, L.M. & Martinez, L. (2024). Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector. In Advances in Digital Marketing and eCommerce - Springer Proceedings in Business and Economics. (pp. 31-40). Cham
F. R. Ramos et al., "Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector", in Advances in Digital Marketing and eCommerce - Springer Proc. in Business and Economics, Cham, 2024, pp. 31-40
@incollection{ramos2024_1732202487229, author = "Ramos, F.R. and Martinez, L.M. and Martinez, L.", title = "Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector", chapter = "", booktitle = "Advances in Digital Marketing and eCommerce - Springer Proceedings in Business and Economics", year = "2024", volume = "", series = "", edition = "", pages = "31-31", publisher = "", address = "Cham", url = "http://dx.doi.org/10.1007/978-3-031-62135-2_5" }
TY - CHAP TI - Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector T2 - Advances in Digital Marketing and eCommerce - Springer Proceedings in Business and Economics AU - Ramos, F.R. AU - Martinez, L.M. AU - Martinez, L. PY - 2024 SP - 31-40 SN - 2198-7254 DO - 10.1007/978-3-031-62135-2_5 CY - Cham UR - http://dx.doi.org/10.1007/978-3-031-62135-2_5 AB - Digital commerce activities have been on the rise in the last years. Several types of forecasting models are considered to predict outcome variables in the context of e-commerce. This research seeks to develop a robust methodology for modelling and forecasting sales volume. Additionally, we suggest that other management-related variables could be relevant to e-commerce sales volume. Our analysis shows that by highlighting the series of sales volume, the proposed model is able to make accurate predictions of trends and seasonality. Overall, the use of exponential smoothing methodologies could be considered very reliable and efficient in the e-commerce context. ER -