Enhanced Model for Measuring Information Systems Success

  • Khaoula BenmoussaEmail author
  • Majida Laaziri
  • Samira Khoulji
  • Mohamed Larbi Kerkeb
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)


The increased use of information systems (IS) has led to a number of changes in the workflow of the private and public sectors; they play a vital role when they are reliable and of high quality. The quality of the information systems plays a decisive role in the success of the system, and the best performance of the organization depends on the successful implementation of the IS. The quality and success of the information system have been widely discussed over the past two decades. As systems and technologies are improved and developed, researchers and practitioners have debated debates about their effectiveness and evaluation. In addition to the major concern about the effectiveness of information systems, the factors influencing the efficiency of information systems are also important. Several researchers have created models for measuring quality and the success of the information system [1, 2]; highlighting the need for better and more consistent success factors. However, several authors claim that there are several measures of success of an IS, which generates a certain amount of confusion, especially since there are few recognized criteria for choosing indicators of success [3], These same authors add that the current measuring instruments of IS’s success rest on poor theoretical foundations. To this end, our contribution in this paper is to propose a new holistic model that brings together several factors (technological, organizational, human and change management) to measure the quality and success of an information system, and to apply the AHP multicriteria prioritization method for the selection and prioritization of these criteria.


Information system Measure the quality of IS Success of an IS Technological factors Organizational factors Human factors Change management factors AHP 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Khaoula Benmoussa
    • 1
    Email author
  • Majida Laaziri
    • 1
  • Samira Khoulji
    • 1
  • Mohamed Larbi Kerkeb
    • 2
  1. 1.Information System Engineering Research Group, National School of Applied SciencesAbdelmalek Essaadi UniversityTetouanMorocco
  2. 2.Information System Engineering Resarch Group, Faculty of SciencesAbdelmalek Essaadi UniversityTetouanMorocco

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