Skip to main content

Using the ANP approach in selecting and benchmarking ERP systems

Buy Article:

$36.96 plus tax (Refund Policy)

Purpose ‐ This study aims to provide a good insight into the use of analytic network process (ANP), a multi-criteria decision-making methodology in selecting and benchmarking enterprise resource planning (ERP) systems. Design/methodology/approach ‐ In this study, ANP model is proposed with an actual case example in selecting the best ERP system as a framework to guide managers. Findings ‐ This model provides firms with a simple, flexible and easy to use approach to evaluate ERP systems efficiently. Findings demonstrate that the ANP model, with minor modifications, can be useful to all firms in their ERP system selection decisions. Research limitations/implications ‐ ANP is a highly complex methodology and requires more numerical calculations in assessing composite priorities than the traditional analytic hierarchy process and hence it increases the effort. Originality/value ‐ This is probably the first time that an attempt has been made to apply the ANP model in ERP system selection decisions. ANP has the ability to be used as a decision-making analysis tool since it incorporates feedback and interdependent relationships among decision criteria and alternatives. In addition, evaluation and selection of ERP system software can be very useful for both academic research and practice.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Benchmarking; Decision making; Information systems; Resource management

Document Type: Research Article

Publication date: 2008-08-29

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more