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Quantifying Update Effects in Citizen-Oriented Software


  • Ion Ivan

    (Academy of Economic Studies, Bucharest)

  • Sorin Pavel

    (Academy of Economic Studies, Bucharest)


Defining citizen-oriented software. Detailing technical issues regarding update process in this kind of software. Presenting different effects triggered by types of update. Building model for update costs estimation, including producer-side and consumer-side effects. Analyzing model applicability on INVMAT – large scale matrix inversion software. Proposing a model for update effects estimation. Specifying ways for softening effects of inaccurate updates.

Suggested Citation

  • Ion Ivan & Sorin Pavel, 2009. "Quantifying Update Effects in Citizen-Oriented Software," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 2(02(531)), pages 49-60, February.
  • Handle: RePEc:agr:journl:v:02(531):y:2009:i:02(531):p:49-60

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    References listed on IDEAS

    1. repec:hhs:bofitp:2012_019 is not listed on IDEAS
    2. Gianmarco I.P. Ottaviano & Daria Taglioni & Filippo di Mauro, 2009. "The euro and the competitiveness of European firms," Economic Policy, CEPR;CES;MSH, vol. 24, pages 5-53, January.
    3. Konstantins Benkovskis & Julia Wörz, 2016. "Non-price competitiveness of exports from emerging countries," Empirical Economics, Springer, vol. 51(2), pages 707-735, September.
    4. Imre Fert– & L. J. Hubbard, 2003. "Revealed Comparative Advantage and Competitiveness in Hungarian Agri-Food Sectors," The World Economy, Wiley Blackwell, vol. 26(2), pages 247-259, February.
    5. Rudolfs Bems & Robert C. Johnson, 2012. "Value-Added Exchange Rates," NBER Working Papers 18498, National Bureau of Economic Research, Inc.
    6. McFetridge, D., 1995. "Competitiveness Concepts and Measures," Gouvernement du Canada - Industrial Organization 5, Gouvernement du Canada - Industry Canada.
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    update; costs; model; online software.;


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