Authors:
Luca Canetta
;
Naoufel Cheikhrouhou
and
Rémy Glardon
Affiliation:
Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Production Management and Processess, Switzerland
Keyword(s):
e-Commerce, customer behaviour, decision support system.
Related
Ontology
Subjects/Areas/Topics:
B2B, B2C and C2C
;
Communication and Software Technologies and Architectures
;
e-Business
;
e-Business and e-Commerce
;
Enterprise Information Systems
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
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.
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