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Research at St Andrews

Selection of enterprise resource planning software using analytic hierarchy process

Research output: Contribution to journalArticlepeer-review

Author(s)

Ricardo M. Czekster, Thais Webber, Alessandra H. Jandrey, César Augusto Missio Marcon

School/Research organisations

Abstract

Selecting ERP (Enterprise Resource Planning) software is crucial to enhance productivity because it provides high-quality services for end users. The choice of an ERP is a problem that should undertake deeper scrutiny. For example, several criteria are usually present, having different tradeoffs. Analysts and managers, when deciding which ERP to acquire, have key considerations to address when facing the myriad of available software suites with market presence. Multicriteria modelling are used to help decision makers select ERPs and one commonly used technique for helping the process of addressing such problems is Analytic Hierarchy Process (AHP). Our work have surveyed the literature on selection of ERP and we have discovered that acquisition and monthly costs, ERP reputation and references, level of support and training, deployment experience, ERP’s feature set, easiness of use, efficiency and reliability, and maintainability are key criteria. We have used those criteria to create an AHP model for deciding the best one according to judgements of importance. The focus of our work is directed for small and medium organizations. We have created a model for ERP selection of a healthcare facility and computed numerical results using pairwise comparisons and group decision-making by selected managers according to their expertise.

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Details

Original languageEnglish
Pages (from-to)895-915
Number of pages21
JournalEnterprise Information Systems
Volume13
Issue number6
DOIs
Publication statusPublished - 3 Jul 2019

    Research areas

  • AHP, enterprise resource planning, multicriteria decision methods

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