A Learning Driven Model for ERP Software Selection Based on the Choquet Integral: Small and Medium Enterprises Context

Historically, Enterprise Resource Planning (ERP) systems were initially destined to large companies in order to standardize and streamline their key business processes. Recently, they have been increasingly adopted by Small and Medium Enterprises (SMEs). However, making strategic tradeoffs among the various marketplace solutions is a troublesome balance task for SMEs without the rescue of systematic decision approaches. This paper addresses the question of how to choose an ERP solution that best suits a given SME. It serves twofold objectives; firstly it defines a set of selection criteria related to SMEs’ context. Secondly, it presents a selection methodology based on the construction of an induced decision model through capturing the decision maker’s preferences. The key contribution of this paper is the introduction of a new iterative learning based approach destined to make enlightened decisions through the consideration of interdependencies among the adopted selection criteria thanks to the Choquet integral.

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