Measuring the Success of E-Justice. A Validation of the DeLone and McLean Model

  • Rocco AgrifoglioEmail author
  • Luigi Lepore
  • Concetta Metallo
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 2)


The aim of this chapter is to develop a research model to assess the success of e-justice applications in the Judicial System. Judicial System has been characterized by considerable investments in ICTs in order to improve court’s efficiency and effectiveness. Despite these investments, court performances did not increase and little research has been conducted to understand the reasons. Our research model adapts the DeLone and McLean’s IS success model and provides an useful contribute to understanding e-justice success.


E-justice success IS success Judicial System 


  1. 1.
    Fabri, M., & Langbroek, P. M. (2000). The challenge of change for judicial systems. Developing a public administration perspective. Amsterdam: IOS Press.Google Scholar
  2. 2.
    Falletti, E. (2008). E-justice. Milano: Giuffrè.Google Scholar
  3. 3.
    Carnevali, D., Contini, F. & Fabri M. (2006). Tecnologie per la giustizia. Giuffrè, Milano.Google Scholar
  4. 4.
    Fabri, M. (2001). State of the art, critical issues and trends of ICT in European judicial system. In M. Fabri & F. Contini (Eds.), Justice and technology in Europe: How ICT is changing judicial business. The Netherlands: Kluwer Law International, The Hague.Google Scholar
  5. 5.
    Contini, F., & Cordella, A. (2007). Information system and information infrastructure deployment: The challenge of the Italian e-justice approach. The Electronic Journal of e-Government, 5, 43–52.Google Scholar
  6. 6.
    Alvino, F., Agrifoglio, R., Metallo, C., & Lepore, L. (2011). Learning and knowledge sharing in virtual communities of practice: A case study. In A. D’Atri, M. Ferrara, J. F. George, & P. Spagnoletti (Eds.), Information technology and innovation trends in organizations. Berlin: Springer.Google Scholar
  7. 7.
    Torres, L., Pina, V., & Acerete, B. (2005). E-government developments on delivering public services among EU cities. Government Information Quarterly, 22, 217–238.CrossRefGoogle Scholar
  8. 8.
    DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19, 9–30.Google Scholar
  9. 9.
    Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29, 530–545.CrossRefGoogle Scholar
  10. 10.
    DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information System Research, 3, 60–95.CrossRefGoogle Scholar
  11. 11.
    Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8, 240–253.CrossRefGoogle Scholar
  12. 12.
    Wang, Y. S., & Liao, Y. W. (2008). Assessing e-government systems success: a validation of the DeLone and McLean model of information system success. Government Information Quarterly, 25, 717–733.CrossRefGoogle Scholar
  13. 13.
    Fabri, M. (2008). The Italian style of e-justice in a comparative perspective. In M. Cerrillo & P. Fabra (Eds.), E-justice: ICT in the court system. USA: IGI Global.Google Scholar
  14. 14.
    Cerrillo, M., & Fabra, P. (2008). E-justice: ICT in the court system. USA: IGI Global.Google Scholar
  15. 15.
    Velicogna, M. (2008). Use of information and communication technologies (ICT) in European judicial systems, Strasbourg, Commission for the Efficiency of Justice.Google Scholar
  16. 16.
    Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical testand theoretical analysis. Information Systems Research, 13, 50–69.CrossRefGoogle Scholar
  17. 17.
    Baroudi, J. J., Olson, M. H., & Ives, B. (1986). An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, 29, 232–238.CrossRefGoogle Scholar
  18. 18.
    Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12, 259–274.CrossRefGoogle Scholar
  19. 19.
    Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19, 213–236.CrossRefGoogle Scholar
  20. 20.
    Etezadi-Amoli, J., & Farhoomand, A. F. (1996). A structural model of end user computing satisfaction and user performance. Information and Management, 30, 65–73.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Rocco Agrifoglio
    • 1
    Email author
  • Luigi Lepore
    • 1
  • Concetta Metallo
    • 1
  1. 1.Department of ManagementParthenope UniversityNaplesItaly

Personalised recommendations