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Enhanced Model for Measuring Information Systems Success

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Innovations in Smart Cities Applications Edition 2 (SCA 2018)

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.

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References

  1. Petter, S., DeLone, W., McLean, E.: Measuring information systems success: Models, dimensions, measures, and interrelationships. Eur. J. Inf. Syst. (2008)

    Google Scholar 

  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)

    Article  Google Scholar 

  3. Seddon, P.B., Staples, S., Patnayakuni, R.: Dimensions of information systems success. Commun. AIS. 2(61) (1999)

    Google Scholar 

  4. Autissier, D., Delaye, V.: Mesurer la performance du système d’information. Eyrolles. (2008)

    Google Scholar 

  5. Keen, P.G.W.: Information systems and organizational change. Commun. ACM 24(1), 24–33 (1981)

    Article  MathSciNet  Google Scholar 

  6. Gable, G.G., Sedera, D., Chan, T.: Enterprise systems success: a measurement model. (2003)

    Google Scholar 

  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. 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. Venkatesh, V., Morris, M., Davis, G., Davis, F.: User acceptance of information technology: toward a unified view, MIS Q. (2003)

    Google Scholar 

  10. Bhattacherjee, A.: Understanding information systems continuance: an expectation-confirmation model, MIS Q. (2001)

    Google Scholar 

  11. Iivari, J.: An empirical test of the DeLone-McLean model of information system success. Database Adv. Inf. Syst. 36(2), 8–27 (2005)

    Article  Google Scholar 

  12. DeLone, W.H., McLean, E.R.: Information systems success: the quest for the dependent variable. Inf. Syst. Res. 3(1), 60–95 (1992)

    Article  Google Scholar 

  13. Brown, T.J., Churchill, G.A., Peter, J.P.: Improving the measurement of service quality. J. Retail. 69(1), 127–139 (1993)

    Article  Google Scholar 

  14. Kettinger, W.J., Lee, C.C.: Pragmatic perspectives on the measurement of information systems service quality. MIS Q. 21(2), 223–240 (1997)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  16. Kettinger, W., Lee, C.: Perceived service quality and user satisfaction with the information services function. Decis. Sci. 25(5–6), 737–766 (1994)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  19. Hutchison, D.: Future Data and Security Engineering (2015)

    Google Scholar 

  20. Eds, V.A., Ferrari, D.: Context-aware systems and applications (2015)

    Google Scholar 

  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): 21–38

    Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  24. Argyropoulou, M., Reid, I., George, L.: Quality, reporting and organisational performance (2015)

    Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  27. Pitt, L., Watson, R., Kavan, C.: Service quality: a measure of information systems effectiveness. Manage. Inf. Syst. Q. 19(2), 173–187 (1995)

    Article  Google Scholar 

  28. Jarvenpaa, S.L., Ives, B.: Executive involvement and participation in the management of information technology. MIS Q. 15(2), 205 (1991)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  30. Saunders, C.S., Jones, J.W.: Measuring performance of the information systems function. J. Manage. Inf. Syst. 8(4), 63–82 (1992)

    Article  Google Scholar 

  31. Ein-Dor, P., Segev, E.: Managing management information systems. Lexington Books (1978)

    Google Scholar 

  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)

    Article  Google Scholar 

  33. Aldag, R.J., Timothy, M.S.: Management. College Division, South-Western Pub. Co (1991)

    Google Scholar 

  34. Chapanis, A.: Human factors in systems engineering. Wiley, (1996)

    Google Scholar 

  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. Doll, W.J., Torkzadeh, G.: The Measurement of End-User Computing Satisfaction, MIS Q. (1988)

    Google Scholar 

  37. Chen, C.H., Tzeng, G.H.: Creating the aspired intelligent assessment systems for teaching materials, Expert Syst. Appl. (2011)

    Google Scholar 

  38. Autissier, D., Moutot, M.: Méthode de conduite du changement Diagnostic Accompagment Pilotage 3 e édition Des mêmes auteurs. (2009)

    Google Scholar 

  39. Saaty, T.L.: The analytic hierarchy process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Information System Engineering Research Group, National School of Applied Sciences, Abdelmalek Essaadi University, Tetouan, Morocco

    Khaoula Benmoussa, Majida Laaziri & Samira Khoulji

  2. Information System Engineering Resarch Group, Faculty of Sciences, Abdelmalek Essaadi University, Tetouan, Morocco

    Mohamed Larbi Kerkeb

Authors
  1. Khaoula Benmoussa
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  2. Majida Laaziri
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  3. Samira Khoulji
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  4. Mohamed Larbi Kerkeb
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Corresponding author

Correspondence to Khaoula Benmoussa .

Editor information

Editors and Affiliations

  1. Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco

    Anouar Abdelhakim Boudhir

  3. Faculty of Sciences, Présidence UAE, Tétouan, Morocco

    Ali Younes

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Benmoussa, K., Laaziri, M., Khoulji, S., Kerkeb, M.L. (2019). Enhanced Model for Measuring Information Systems Success. In: Ben Ahmed, M., Boudhir, A., Younes, A. (eds) Innovations in Smart Cities Applications Edition 2. SCA 2018. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-11196-0_59

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