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Research Article | Open Access |

Information System Evaluation based on Multi-Criteria Decision Making: A Comparison of Two Sectors

Author 1: Ansar DAGHOURI Author 2: Khalifa MANSOURI Author 3: Mohammed QBADOU
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 6 · Published 2018 · Cited by 14

DOI: https://doi.org/10.14569/IJACSA.2018.090642

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Abstract

In this article, our purpose is to introduce the results of a new approach to assess the information system success. It is based on the DeLone and McLean model and was applied on two domains. The chosen domains are banking sector being the most customer of information technology and construction industry as the least computer-intensive sector. The work methodology used to evaluate the information system performance is a combined approach of the two most popular multi-criteria decision making techniques: AHP and TOPSIS. Based on the results of this technique applied on studied sectors, we can obtain a horizontal comparison at the sector level and optimize the choice of the best system.

Keywords

Information system success multi criteria decision AHP and TOPSIS methods criteria

How to Cite this Article

DAGHOURI, A., MANSOURI, K., & QBADOU, M. (2018). Information System Evaluation based on Multi-Criteria Decision Making: A Comparison of Two Sectors. International Journal of Advanced Computer Science and Applications, 9(6). https://doi.org/10.14569/IJACSA.2018.090642

DAGHOURI, Ansar, et al.. "Information System Evaluation based on Multi-Criteria Decision Making: A Comparison of Two Sectors." International Journal of Advanced Computer Science and Applications, vol. 9, no. 6, 2018, https://doi.org/10.14569/IJACSA.2018.090642.

@article{DAGHOURI2018,
  title     = {Information System Evaluation based on Multi-Criteria Decision Making: A Comparison of Two Sectors},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {6},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Ansar DAGHOURI and Khalifa MANSOURI and Mohammed QBADOU},
  doi       = {10.14569/IJACSA.2018.090642},
  url       = {https://doi.org/10.14569/IJACSA.2018.090642}
}

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