Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector

Filipe R. Ramos (), Luisa M. Martinez () and Luis F. Martinez ()
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Filipe R. Ramos: Universidade de Lisboa
Luisa M. Martinez: Instituto Português de Administração de Marketing – IPAM Lisboa
Luis F. Martinez: Universidade Nova de Lisboa

A chapter in Advances in Digital Marketing and eCommerce, 2024, pp 31-40 from Springer

Abstract: 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.

Keywords: E-commerce; sales; employment; time series; exponential smoothing models; forecasting; prediction error (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-62135-2_5

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DOI: 10.1007/978-3-031-62135-2_5

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