@inbook{5a1e021f8f4c4bdfab8db8ff1621a193,
title = "Trends and forecasts for sales and employment: An overview of the e-commerce sector",
abstract = "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.",
author = "Ramos, {Filipe R.} and Martinez, {Luis F.} and Martinez, {Luisa M.}",
note = "This work is partially financed by national funds through FCT – Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia under the project UIDB/00006/2020. https://doi.org/10.54499/UIDB/00006/2020. This work was also funded by Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia (UIDB/00124/2020, UIDP/00124/2020 and Social Sciences DataLab - PINFRA/22209/2016), POR Lisboa and POR Norte (Social Sciences DataLab, PINFRA/22209/2016). This study was also supported by UNIDCOM under a Grant by the Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia (UIDB/DES/00711/2020) attributed to UNIDCOM/IADE – Unidade de Investiga{\c c}{\~a}o em Design e Comunica{\c c}{\~a}o, Lisbon, Portugal. The authors declare that they have no conflict of interest.",
year = "2024",
doi = "10.1007/978-3-031-62135-2_5",
language = "English",
isbn = "978-3-031-62134-5",
series = "Springer Proceedings in Business and Economics",
publisher = "Springer",
pages = "31–40",
editor = "Mart{\'i}nez-L{\'o}pez, {F. J.} and Martinez, {L. F.} and P. Br{\"u}ggemann",
booktitle = "Advances in digital marketing and ecommerce",
address = "Netherlands",
}