Building a Logic for a Public Administration Service Transformation Algorithm

  • Ioannis SavvasEmail author
  • Nick Bassiliades
  • Elias Pimenidis
  • Alexander B. Sideridis
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 441)


This paper presents a rationale for establishing a Public Administration Service Transformation Algorithm. It introduces an abstract top level reusable model representing how Public Administration (PA) operates in providing services to the citizens, based on an input-output model. The approach adopted here is a goal-oriented one, placing the administrative act at the centre of PA’s operation, as act is the means of expressing PA’s will. In this way an algorithm which may identify malfunctions, propose services and conceptualize systems to remedy failings in service provision could be built. Using PA’s performance, both in effectiveness and efficiency to spot problems, and based on the improvement of these features, suggestions of services and systems could be made.


Transformational government Public Administration operational model Public Administration effectiveness Public Administration efficiency 


  1. 1.
    Savvas, I., Pimenidis, E., Sideridis, A.B.: A review of e-governance models in the EU. In: Proceedings of Advances in Computing and Technology (AC&T) Conference, University of East London, England, pp. 110–119 (2007)Google Scholar
  2. 2.
    Billiets, M., et al.: D2.2 – Legislative, Institutional and EU Policy Related Requirements. IST STREP PROJECT SemanticGov (2006).
  3. 3.
    Van Dooren, W.: Performance measurement in the flemish public sector: a supply and demand approach. Ph.D. dissertation, Faculteit Sociale. Wetenschappen - Onderzoekseenheid: Instituut voor de Overheid [IO], K.U. Leuven (2006)Google Scholar
  4. 4.
    Pollit, C., Bouckaert, G.: Public Management Reform: A Comparative Analysis. Oxford University Press, Oxford (2004)Google Scholar
  5. 5.
    Savvas, I., Bassiliades, N.: A process-oriented ontology-based knowledge management system for facilitating operational procedures in public administration. Expert Syst. Appl. 36(3), 4467–4478 (2009)CrossRefGoogle Scholar
  6. 6.
    Homer, J., Milstein, B.: Optimal decision making in a dynamic model of community health. In: Proceedings of the International Conference on System Sciences, Hawaii. IEEE Press (2004)Google Scholar
  7. 7.
    Van Groenendaal, W.J.H.: Group decision support for public policy planning. Inf. Manag. 40(5), 371–380 (2003)CrossRefGoogle Scholar
  8. 8.
    Sokolova, M., Fernández-Caballero, A.: Modeling and implementing an agent-based environmental health impact decision support system. Expert Syst. Appl. 36(2), 2603–2614 (2009). (Part 2)CrossRefGoogle Scholar
  9. 9.
    Morón, A.B., Calvo-Flores, M.D., Ramos, J.M., Almohano, M.P.: AIEIA: software for fuzzy environmental impact assessment. Expert Syst. Appl. 36(5), 9135–9149 (2009)CrossRefGoogle Scholar
  10. 10.
    Fay, A.: A fuzzy knowledge-based system for railway traffic control. Eng. Appl. Artif. Intell. 13(6), 719–729 (2000)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Chaudhary, S., Sorathia, V., Laliwala, Z.: Architecture of sensor based agricultural information system for effective planning of farm activities. In: Proceedings of the IEEE International Conference on Services Computing, Shanghai, pp. 93–100 (2004)Google Scholar
  12. 12.
    De Meo, P., Quattrone, G., Ursino, D.: A decision support system for designing new services tailored to citizen profiles in a complex and distributed e-government scenario. Data Knowl. Eng. 67, 161–184 (2008)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ioannis Savvas
    • 1
    Email author
  • Nick Bassiliades
    • 2
  • Elias Pimenidis
    • 3
  • Alexander B. Sideridis
    • 1
  1. 1.Agricultural University of AthensAthensGreece
  2. 2.Aristotle University of ThessalonikiThessalonikiGreece
  3. 3.University of the West of EnglandFrenchay, BristolUK

Personalised recommendations