HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Statistic regression and open data approach for identifying economic indicators that influence e-commerce

Abstract : — This paper presents a statistical approach to identify explanatory variables linearly related to e-commerce sales. The proposed methodology allows specifying a regression model in order to quantify the relevance between openly available data (economic and demographic) and national e-commerce sales. The proposed methodology consists in collecting data, preselecting input variables, performing regressions for choosing variables and models, testing and validating. The usefulness of the proposed approach is twofold: on the one hand, it allows identifying the variables that influence e-commerce sales with an accessible approach. And on the other hand, it can be used to model future sales from the input variables. Results show that e-commerce is linearly dependent on 11 economic and demographic indicators.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01790991
Contributor : Simon Tamayo Giraldo Connect in order to contact the contributor
Submitted on : Monday, May 14, 2018 - 11:30:09 AM
Last modification on : Wednesday, November 17, 2021 - 12:33:04 PM
Long-term archiving on: : Tuesday, September 25, 2018 - 12:07:47 PM

File

ICSEI 2018 - Ecommerce regress...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01790991, version 1

Citation

Apollinaire Barme, Simon Tamayo, Arthur Gaudron. Statistic regression and open data approach for identifying economic indicators that influence e-commerce. 20th International Conference on Urban Transportation and City Logistics, May 2018, London, United Kingdom. ⟨hal-01790991⟩

Share

Metrics

Record views

201

Files downloads

953