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

In: Advances in Digital Marketing and eCommerce

Author

Listed:
  • Filipe R. Ramos

    (Universidade de Lisboa)

  • Luisa M. Martinez

    (Instituto Português de Administração de Marketing – IPAM Lisboa
    UNIDCOM/IADE, Unidade de Investigação em Design e Comunicação)

  • Luis F. Martinez

    (Universidade Nova de Lisboa)

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.

Suggested Citation

  • Filipe R. Ramos & Luisa M. Martinez & Luis F. Martinez, 2024. "Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector," Springer Proceedings in Business and Economics, in: Francisco J. Martínez-López & Luis F. Martinez & Philipp Brüggemann (ed.), Advances in Digital Marketing and eCommerce, pages 31-40, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-62135-2_5
    DOI: 10.1007/978-3-031-62135-2_5
    as

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