A RULE-BASED DSS FOR THE QUALITATIVE PREDICTION OF THE EVOLUTION OF E-SALES

Luca Canetta, Naoufel Cheikhrouhou, Rémy Glardon

2007

Abstract

Many parameters have a significant influence on e-commerce evolution. This complicates the assessment of the requirements for and the consequences of e-sales adoption. In order to support the decisions of companies thinking about a possible e-sales channels introduction a Decision Support System (DSS) is proposed. The relevant e-commerce success factors, which constitute the DSS input, have been identified and their influence described relying upon a literature review. The DSS output aims at describing typical ecommerce evolution patterns taking into account the speed of adoption and the steady state potential diffusion (saturation level). These variables point out the considerable discrepancies between the ecommerce evolution charactering different industrial sectors. The DSS, which is based on a system of rules, allows to qualitatively predict the expected e-sales evolution for companies introducing a specific e-sales channels strategy in a given environment and to explain it in terms of different e-commerce success factor configurations.

Paper Citation

in Harvard Style

Canetta L., Cheikhrouhou N. and Glardon R. (2007). A RULE-BASED DSS FOR THE QUALITATIVE PREDICTION OF THE EVOLUTION OF E-SALES . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST, ISBN 978-972-8865-79-5, pages 97-106. DOI: 10.5220/0001268100970106

in Bibtex Style

@conference{webist07,
author={Luca Canetta and Naoufel Cheikhrouhou and Rémy Glardon},
title={A RULE-BASED DSS FOR THE QUALITATIVE PREDICTION OF THE EVOLUTION OF E-SALES},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,},
year={2007},
pages={97-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001268100970106},
isbn={978-972-8865-79-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,
TI - A RULE-BASED DSS FOR THE QUALITATIVE PREDICTION OF THE EVOLUTION OF E-SALES
SN - 978-972-8865-79-5
AU - Canetta L.
AU - Cheikhrouhou N.
AU - Glardon R.
PY - 2007
SP - 97
EP - 106
DO - 10.5220/0001268100970106