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

被引:0
作者
Ramos, Filipe R. [1 ]
Martinez, Luisa M. [2 ,3 ]
Martinez, Luis F. [4 ]
机构
[1] Univ Lisbon, Fac Ciencias, CEAUL Ctr Estat & Aplicacoes, Lisbon, Portugal
[2] Inst Portugues Adm Mkt IPAM Lisboa, Lisbon, Portugal
[3] UNIDCOM IADE, Unidade Invest Design & Comunicacao, Lisbon, Portugal
[4] Univ Nova Lisboa, Nova Sch Business & Econ, Lisbon, Portugal
来源
ADVANCES IN DIGITAL MARKETING AND ECOMMERCE, DMEC 2024 | 2024年
关键词
E-commerce; sales; employment; time series; exponential smoothing models; forecasting; prediction error;
D O I
10.1007/978-3-031-62135-2_5
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:31 / 40
页数:10
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