179
Views
28
CrossRef citations to date
0
Altmetric
Case-Oriented Paper

ERP system selection using a simulation-based AHP approach: a case of Korean homeshopping company

&
Pages 322-330 | Received 01 Jan 2006, Accepted 01 Sep 2006, Published online: 21 Dec 2017
 

Abstract

An enterprise resource planning (ERP) system is a critical investment that can significantly affect future competitiveness and performance of a company. The analytic hierarchy process (AHP) method is often applied to select an ERP system since it is well suited to multiple criteria decision-making problems. This study presents a simulation-based AHP (SiAHP) method for group decision making and is applied to the real-world problem of selecting a suitable ERP system for a Korean homeshopping company. To enhance the fitness of a group AHP method and to facilitate the ERP system selection process, this paper proposes a simulation-based approach for building a group consensus instead of forming point estimates that are aggregated from individual preference judgments. To be specific, the proposed method is based on observations from empirically observed frequency distributions and does not use aggregation procedures, compared to typical group AHP for obtaining a group solution. This approach, reflecting the diversification of group members' opinions as they are, is conceived to be useful as a tool for obtaining insights into agreements and disagreements with respect to the alternatives among the individuals of a group. The real-world example demonstrates the feasibility of our proposed approach.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 277.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.