E-Commerce Development Risk Evaluation Using MCDM Techniques

Electronic commerce (EC) development takes place in a complex and dynamic environment that includes high levels of risk and uncertainty. This paper proposes a new method to assess the risks associated with EC development using multi-criteria decision-making techniques A model based on analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to assist EC project managers and decision makers in formalizing the types of thinking that are required in assessing the current risk environment of their EC development in a more systematic manner than before. The solution includes the use of AHP for analyzing the problem structure and determining the weights of risk factors. While the TOPSIS technique helps to obtain a final ranking among projects. The results of an evaluation show the usefulness performance of the method.