Advertisement

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)

Abstract

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.

Keywords

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

References

  1. 1.
    Petter, S., DeLone, W., McLean, E.: Measuring information systems success: Models, dimensions, measures, and interrelationships. Eur. J. Inf. Syst. (2008)Google Scholar
  2. 2.
    Seddon, P.B.: A respecification and extension of the DeLone and McLean model of IS success. Inf. Syst. Res. 8(3), 240–253 (1997)CrossRefGoogle Scholar
  3. 3.
    Seddon, P.B., Staples, S., Patnayakuni, R.: Dimensions of information systems success. Commun. AIS. 2(61) (1999)Google Scholar
  4. 4.
    Autissier, D., Delaye, V.: Mesurer la performance du système d’information. Eyrolles. (2008)Google Scholar
  5. 5.
    Keen, P.G.W.: Information systems and organizational change. Commun. ACM 24(1), 24–33 (1981)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Gable, G.G., Sedera, D., Chan, T.: Enterprise systems success: a measurement model. (2003)Google Scholar
  7. 7.
    DeLone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: a ten-year update. J. Manage. Info. Syst. (2003)Google Scholar
  8. 8.
    Holden, R.J., Karsh, B.-T.: The technology acceptance model: its past and its future in health care. J Biomed Inf. (2010)Google Scholar
  9. 9.
    Venkatesh, V., Morris, M., Davis, G., Davis, F.: User acceptance of information technology: toward a unified view, MIS Q. (2003)Google Scholar
  10. 10.
    Bhattacherjee, A.: Understanding information systems continuance: an expectation-confirmation model, MIS Q. (2001)Google Scholar
  11. 11.
    Iivari, J.: An empirical test of the DeLone-McLean model of information system success. Database Adv. Inf. Syst. 36(2), 8–27 (2005)CrossRefGoogle Scholar
  12. 12.
    DeLone, W.H., McLean, E.R.: Information systems success: the quest for the dependent variable. Inf. Syst. Res. 3(1), 60–95 (1992)CrossRefGoogle Scholar
  13. 13.
    Brown, T.J., Churchill, G.A., Peter, J.P.: Improving the measurement of service quality. J. Retail. 69(1), 127–139 (1993)CrossRefGoogle Scholar
  14. 14.
    Kettinger, W.J., Lee, C.C.: Pragmatic perspectives on the measurement of information systems service quality. MIS Q. 21(2), 223–240 (1997)CrossRefGoogle Scholar
  15. 15.
    Pitt, L.F., Watson, R.T., Kavan, C.B.: Service quality: a measure of information systems effectiveness. MIS Q. 19(2), 173–187 (1995)CrossRefGoogle Scholar
  16. 16.
    Kettinger, W., Lee, C.: Perceived service quality and user satisfaction with the information services function. Decis. Sci. 25(5–6), 737–766 (1994)CrossRefGoogle Scholar
  17. 17.
    van Dyke, T.P., Kappelman, L.A., Prybutok, V.R.: Measuring information systems service quality: concerns on the use of the SERVQUAL questionnaire. MIS Q. 21(2), 195 (1997)CrossRefGoogle Scholar
  18. 18.
    DeLone, W.H., Mclean, E.R.: The DeLone and McLean model of information systems success: a ten-year update. J. Manage. Inf. Syst./ Spring 19(4), 9–30 (2003)CrossRefGoogle Scholar
  19. 19.
    Hutchison, D.: Future Data and Security Engineering (2015)Google Scholar
  20. 20.
    Eds, V.A., Ferrari, D.: Context-aware systems and applications (2015)Google Scholar
  21. 21.
    Lai, P.C.: The literature review of technology adoption models and theories for the novelty technology, JISTEM-J. Inf. Syst. Technol. Manage, 14(1): 21–38Google Scholar
  22. 22.
    Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)CrossRefGoogle Scholar
  23. 23.
    Mugo, D.G., Njagi, K., Chemwei, B., Motanya, J.O., Li, F.: Jama Raiyn Al-Qasemi, Academic College of Education, Baqa Al Qarbiah, Israel. (3) A. Balavivekanandhan, Anna University, India. (4) Nafsaniath Fathema. Br. J. Math. Comput. Sci. 20(4), 1–8 (2017)CrossRefGoogle Scholar
  24. 24.
    Argyropoulou, M., Reid, I., George, L.: Quality, reporting and organisational performance (2015)Google Scholar
  25. 25.
    DeLone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: a ten-year update. J. Manage. Inf. Syst. 19(4), 9–30 (2003)CrossRefGoogle Scholar
  26. 26.
    Bailey, J.E., Pearson, S.W.: Development of a tool for measuring and analyzing computer user satisfaction. Manage. Sci. 29(5), 530–545 (1983)CrossRefGoogle Scholar
  27. 27.
    Pitt, L., Watson, R., Kavan, C.: Service quality: a measure of information systems effectiveness. Manage. Inf. Syst. Q. 19(2), 173–187 (1995)CrossRefGoogle Scholar
  28. 28.
    Jarvenpaa, S.L., Ives, B.: Executive involvement and participation in the management of information technology. MIS Q. 15(2), 205 (1991)CrossRefGoogle Scholar
  29. 29.
    Teo, T.S.H., King, W.R.: An empirical study of the impacts of integrating business planning and information systems planning. Eur. J. Inf. Syst. 8(3), 200–210 (1999)CrossRefGoogle Scholar
  30. 30.
    Saunders, C.S., Jones, J.W.: Measuring performance of the information systems function. J. Manage. Inf. Syst. 8(4), 63–82 (1992)CrossRefGoogle Scholar
  31. 31.
    Ein-Dor, P., Segev, E.: Managing management information systems. Lexington Books (1978)Google Scholar
  32. 32.
    Brancheau, J., Janz, B., Wetherbe, J.: Key issues in information systems management: 1994–1995 SIM delphi results, Manage. Inf. Syst. Q, 20(2) (1996)CrossRefGoogle Scholar
  33. 33.
    Aldag, R.J., Timothy, M.S.: Management. College Division, South-Western Pub. Co (1991)Google Scholar
  34. 34.
    Chapanis, A.: Human factors in systems engineering. Wiley, (1996)Google Scholar
  35. 35.
    “Théorie unifiée de l’acceptation et de l’utilisation de la technologie (Venkatesh et al.,… | Télécharger le schéma scientifique.” [Online]. Available: https://www.researchgate.net/figure/Unified-theory-of-acceptance-and-use-of-technology-Venkatesh-et-al-2003_fig4_257921834
  36. 36.
    Doll, W.J., Torkzadeh, G.: The Measurement of End-User Computing Satisfaction, MIS Q. (1988)Google Scholar
  37. 37.
    Chen, C.H., Tzeng, G.H.: Creating the aspired intelligent assessment systems for teaching materials, Expert Syst. Appl. (2011)Google Scholar
  38. 38.
    Autissier, D., Moutot, M.: Méthode de conduite du changement Diagnostic Accompagment Pilotage 3 e édition Des mêmes auteurs. (2009)Google Scholar
  39. 39.
    Saaty, T.L.: The analytic hierarchy process. McGraw-Hill, New York (1980)zbMATHGoogle Scholar

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

Personalised recommendations