An Intelligent Expert System for Management Information System Failure Diagnosis

  • Kamal Mohammed Alhendawi
  • Ala Aldeen Al-JanabiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 866)


The purpose of this study is to develop and validate a new expert system for detecting failure in the web system interaction design. This system aims at helping the top management and IS developers to justify IT investment through diagnosing the interaction capabilities of user interface and online communication tools. The research methodology consists of a five-step process which facilitates the development of the expert system and, consequently, the diagnosis of the interactivity features of the Web information system. The five process components are as follows: reviewing related empirical studies; extracting the core diagnosis factors; designing and implementing the expert system; testing the expert system; and deploying the expert system. The validation achieved by a sample of IS developers and professionals demonstrates the effectiveness of the proposed detection framework. Based on the feedback collected from the IS developers who tested the developed expert system, the proposed framework seems promising, and can be even be applied in other related area such as human resources management.


Artificial intelligence (AI) Expert system Information system Knowledge-based system Web system diagnosis 


  1. 1.
    Harvey, J.J.: Expert systems: an Introduction. Int. J. Compu. Appl. Technol. 1, 53–60 (1988)Google Scholar
  2. 2.
    Dalkir, K.: Knowledge Management in Theory and Practice. Taylor & Francis (2013)Google Scholar
  3. 3.
    Allwood, R.J.: Techniques and Applications of Expert System in The Construction Industry. Ellis Horwood Series in Civil Engineering, 1st edn. England (1989)Google Scholar
  4. 4.
    Lin, H.-C. K., Chen, N.-S., Sun, R.-T., Tsai, I.-H.: Usability of affective interfaces for a digital arts tutoring system. Behav. Inf. Technol. (ahead-of-print), 1–12 (2012)Google Scholar
  5. 5.
    Hopgood, A. A.: Intelligent Systems for Engineers and Scientists, 3rd edn. Taylor & Francis (2011)Google Scholar
  6. 6.
    Benbya, H., Passiante, G., Belbaly, N.A.: Corporate portal: a tool for knowledge management synchronization. Int. J. Inf. Manage. 24(3), 201–220 (2004)CrossRefGoogle Scholar
  7. 7.
    Puntambekar, A.: Software Engineering And Quality Assurance. Technical Publications (2010)Google Scholar
  8. 8.
    Law, C.C., Ngai, E.W.: ERP systems adoption: an exploratory study of the organizational factors and impacts of ERP success. Inf. Manage. 44(4), 418–432 (2007)CrossRefGoogle Scholar
  9. 9.
    Zhang, P., Nah, F.F.-H., Preece, J.: Guest editorial: HCI studies in management information systems. Behav. Inf. Technol. 23(3), 147–151 (2004)CrossRefGoogle Scholar
  10. 10.
    Edeholt, H., Löwgren, J.: Industrial design in a post-industrial society: a framework for understanding the relationship between industrial design and interaction design. In: 5th Conference European Academy of Design (2003)Google Scholar
  11. 11.
    Holmlid: Interaction design and service design: expanding a comparison of design disciplines. In: Nordic conference on service design and service Innovation (2009)Google Scholar
  12. 12.
    Cooper, A., Reimann, R., Cronin, D.: The Essentials of Interaction Design. Wiley Press, Indianapolis (2007)Google Scholar
  13. 13.
    Moggridge, B.: Designing Interactions. MIT Press (2007)Google Scholar
  14. 14.
    Albrecht, C.C., Dean, D.L., Hansen, J.V.: Marketplace and technology standards for B2B e-commerce: progress, challenges, and the state of the art. Inf. Manage. 42, 865–875 (2005)CrossRefGoogle Scholar
  15. 15.
    Lawson-Body, A., Limayem, M.: The impact of customer relationship management on customer loyalty: the moderating role of web site characteristics. J. Comput. Mediated Commun. 9, 4 (2004)Google Scholar
  16. 16.
    Julier, G.: From visual culture to design culture. Des. Issues 22, 1 (2006)CrossRefGoogle Scholar
  17. 17.
    Lawson-Body, A., Willoughby, L., Logossah, K.: Developing an instrument for measuring e-commerce dimensions. J. Compu. Inf. Syst. 51(2), 213 (2010)Google Scholar
  18. 18.
    Muylle, S., Moenert, R., Despontin, M.: The conceptualization and empirical validation of website user satisfaction. Inf. Manage. 41, 213–226 (2004)CrossRefGoogle Scholar
  19. 19.
    Yoo, B., Donthu, N.: Developing a scale to measure the perceived quality of an internet shopping site SiteQual. Quart. J. Electron. Commer. 2(1), 31–45 (2001)Google Scholar
  20. 20.
    Tyler, A.R.: Expert Systems Research Trends: Nova Science Publishers (2007)Google Scholar
  21. 21.
    Shu-Hsien, L.: Expert system methodologies and applications - a decade review from 1995–2004. Expert Syst. Appl. 28, 93–103 (2005)CrossRefGoogle Scholar
  22. 22.
    Chung, P., Hinde, C., Moonis, A.: Developments in applied artificial intelligence. In: Proceedings of 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Laughborough, UK, 23–26 June. Springer (2003)Google Scholar
  23. 23.
    Ismail, N., Ismail, A., Atiq, R.: An overview of expert systems in pavement management. Eur. J. Sci. Res. 30, 99–1111 (2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kamal Mohammed Alhendawi
    • 1
  • Ala Aldeen Al-Janabi
    • 2
    Email author
  1. 1.Faculty of Management SciencesAl-Quds Open UniversityRamallahIsrael
  2. 2.Ahmed Bin Mohammed, Military CollegeDohaQatar

Personalised recommendations