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

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Digital Enterprise and Information Systems (DEIS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 194))

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Abstract

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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Author information

Authors and Affiliations

  1. ENSIAS University, Avenue Mohammed Ben Abdallah Regragui Madinat Al Irfane BP 713 Agdal, Rabat, Morocco

    Abdelilah Khaled & Mohammed Abdou Janati Idrissi

Authors
  1. Abdelilah Khaled
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  2. Mohammed Abdou Janati Idrissi
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Editor information

Editors and Affiliations

  1. London Metropolitan Business School, London Metropolitan Business University, Eden grove - EG4.06, N7 8EA, London, UK

    Ezendu Ariwa

  2. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Khaled, A., Abdou Janati Idrissi, M. (2011). A Learning Driven Model for ERP Software Selection Based on the Choquet Integral: Small and Medium Enterprises Context. In: Ariwa, E., El-Qawasmeh, E. (eds) Digital Enterprise and Information Systems. DEIS 2011. Communications in Computer and Information Science, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22603-8_33

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  • DOI: https://doi.org/10.1007/978-3-642-22603-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22602-1

  • Online ISBN: 978-3-642-22603-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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