English
Ciência-IUL
Publicações
Descrição Detalhada da Publicação
Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector
Título Livro
Advances in Digital Marketing and eCommerce - Springer Proceedings in Business and Economics
Ano (publicação definitiva)
2024
Língua
Inglês
País
Suíça
Mais Informação
Web of Science®
Scopus
Google Scholar
Abstract/Resumo
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.
Agradecimentos/Acknowledgements
This work is partially financed by national funds through FCT – Fundação para a Ciência e a Tecnologia under the project UIDB/00006/2020. https://doi.org/10.54499/UIDB/00006/2020.
Palavras-chave
E-commerce · sales · employment · time series · exponential smoothing models · forecasting · prediction error
Classificação Fields of Science and Technology
- Economia e Gestão - Ciências Sociais
