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Tytuł artykułu

On the use of IT investment assessment methods in the area of spatial data infrastructure

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the important issues concerning development of spatial data infrastructures (SDIs) is the carrying out of economic and financial analysis. It is essential to determine expenses and also assess effects resulting from the development and use of infrastructures. Costs and benefits assessment could be associated with assessment of the infrastructure effectiveness and efficiency as well as the infrastructure value, understood as the infrastructure impact on economic aspects of an organisational performance, both of an organisation which realises an SDI project and all users of the infrastructure. The aim of this paper is an overview of various assessment methods of investment as well as an analysis of different types of costs and benefits used for information technology (IT) projects. Based on the literature, the analysis of the examples of the use of these methods in the area of spatial data infrastructures is also presented. Furthermore, the issues of SDI projects and investments are outlined. The results of the analysis indicate usefulness of the financial methods from different fields of management in the area of SDI building, development and use. The author proposes, in addition to the financial methods, the adaptation of the various techniques used for IT investments and their development, taking into consideration the SDI specificity for the purpose of assessment of different types of costs and benefits and integration of financial aspects with non-financial ones. Among the challenges are identification and quantification of costs and benefits, as well as establishing measures which would fit the characteristics of the SDI project and artefacts resulting from the project realisation. Moreover, aspects of subjectivity and variability in time should be taken into account as the consequences of definite goals and policies as well as business context of organisation undertaking the project or using its artefacts and also investors.
Rocznik
Strony
111--122
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
  • University of Warmia and Mazury, Faculty of Geodesy, Geospatial and Civil Engineering, Department of Land Surveying and Geomatics, 12 J. Heweliusza St., 10–957 Olsztyn, Poland
Bibliografia
  • [1] Borzacchiello, M. T. and Craglia, M. (2013). Estimating benefits of Spatial Data Infrastructures: A case study on e-Cadastres. Computers, Environment and Urban Systems, 41, 276-288. DOI:10.1016/j.compenvurbsys.2012.05.004.
  • [2] Bregt, A. (2012). Spatial Data Infrastructures. Cost-Benefit Analysis in Perspective. Costs and Benefits of Implementing the INSPIRE Directive Workshop, JRC, Ispra.
  • [3] Businessdictionary.com. (2015) http://www.businessdictionary.com/definition/economic-analysis.html Accessed 10.06.15.
  • [4] Commission of the European Communities. (2009). Decision of 5 June 2009 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards monitoring and reporting. Official Journal of the European Union L148. Luxembourg: Publications Office of the European Union.
  • [5] Craglia, M. and Nowak, J. (2006). Report of International Workshop on Spatial Data Infrastructures: Cost-Benefit / Return on Investment. 12-13 January 2006. Ispra, Italy. European Commission Joint Research Centre, Institute for Environment and Sustainability.
  • [6] Craglia, M. and Campagna, M. (2010). Advanced Regional SDI in Europe: Comparative cost-benefit evaluation and impact assessment perspectives. International Journal of Spatial Data Infrastructures Research, 5, 145-167. DOI: 10.2902/1725-0463.2010.05.art6.
  • [7 Dudycz, H. and Dyczkowski, M. (2007). Effectiveness of IT investments. Methodological basis and examples (in Polish). Wrocław: Wydawnictwo Akademii Ekonomicznej im. Oskara Langego.
  • [8] European Parliament and the Council. (2007). Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). Official Journal of the European Union L108. Luxembourg: Publications Office of the European Union.
  • [9] European Commission, Directorate – General Regional Policy. (2008). Guide to cost-benefit analysis of investment projects. Structural Funds, Cohesion Fund and Instrument for Pre-Accession.
  • [10] European Commission, Directorate-General for Regional and Urban policy. (2014). Guide to Cost-Benefit Analysis of Investment Projects. Economic appraisal tool for Cohesion Policy 2014-2020.
  • [11] Farbey, B., Land, F. and Targett, D. (1992). Evaluating investments in IT. Journal of Information Technology, 7(2), 109-122. DOI:10.1057/jit.1992.16.
  • [12] Geudens, T., Macharis, C., Crompvoets, J. and Plastria, F. (2009). Assessing Spatial Data Infrastructure Policy Strategies Using the Multi-Actor Multi-Criteria Analysis. International Journal of Spatial Data Infrastructures Research, 4, 265-297. DOI: 10.2902/1725-0463.2009.04.art14.
  • [13] Giff, G.A. and Crompvoets, J. (2008). Performance Indicators a tool to Support Spatial Data Infrastructure assessment. Computers, Environment and Urban Systems, 32(5), 365–376. DOI:10.1016/j.compenvurbsys.2008.08.001.
  • [14] Grus, L., Crompvoets, J. and Bregt, A.K. (2007). Multi-view SDI Assessment Framework. International Journal of Spatial Data Infrastructures Research, 2, 33-53.
  • [15] Grus, L., Castelein, W., Crompvoets J., Overduin, T., Van Loenen, B., Van Groenestijn, A., Rajabifard, A. and Bregt, A.K. (2011). An assessment view to evaluate whether Spatial Data Infrastructures meet their goals. Computers, Environment and Urban Systems, 35(3), 217-229. DOI:10.1016/j.compenvurbsys.2010.09.004.
  • [16] Investopedia (2015). http://www.investopedia.com/terms/f/financial-analysis.asp Accessed 10.06.15.
  • [17] Irani, Z., Ghoneim, A. and Love, P.E.D. (2006). Evaluating cost taxonomies for information systems management. European Journal of Operational Research, 173(3), 1103-1122. DOI:10.1016/j.ejor.2005.07.007.
  • [18] Lech, P. (2005). Evaluation Methods’ Matrix – A Tool for Customized IT Investment Evaluation. Proceedings of the 12th European Conference on Information Technology Evaluation, (pp. 297-306).
  • [19] Macharis, C. and Crompvoets, J. (2014). A stakeholder-based assessment framework applied to evaluate development scenarios for the spatial data infrastructure for Flanders. Computers, Environment and Urban Systems, 46, 45–56. DOI:10.1016/j.compenvurbsys.2014.04.001.
  • [20] Murphy, T. (2002). Business Value from Technology. A practical guide for today’s executive. Hoboken, New Jersey: John Wiley and Sons, Inc.
  • [21] Remenyi, D., Money, A. and Sherwood-Smith, M. (2000). The effective measurement and management of IT costs and benefits. Oxford: Butterworth – Heinemann.
  • [22] Remenyi, D. & Sherwood-Smith, M. (1997). Achieving Maximum Value from Information Systems. Chichester: John Wiley & Sons.
  • [23] Tańska, H. (2003). Analysis of IT systems (in Polish). Olsztyn: Wydawnictwo UWM.
  • [24] Toomanian, A., Mansourian, A., Harrie, L. and Ryden, A. (2011). Using Balanced Scorecard for Evaluation of Spatial Data Infrastructures: a Swedish Case Study in accordance with INSPIRE. International Journal of Spatial Data Infrastructures Research, 6, 311-343. DOI: 10.2902/1725-0463.2011.06.art14.
  • [25] Schuurman, P., Berghout, E. and Powell, P. (2009). Benefits are from Venus, costs are From Mars. Proceedings of the 3rd European Conference on information management and evaluation, (pp. 544-552). 17-18 September 2009.
  • [26] Vandenbroucke, D., Dessers, E., Crompvoets, J., Bregt, A.K. and Van Orshoven, J. (2013). A methodology to assess the performance of spatial data infrastructures in the context of work processes. Computers, Environment and Urban Systems, 38, 58–66. DOI:10.1016/j.compenvurbsys.2012.12.001.
  • [27] Zwirowicz-Rutkowska, A. (2014). A business project approach to assess spatial data infrastructure. In: SGEM14 Conference Proceedings, 14th International Multidisciplinary Scientific GeoConference, (pp. 413-420). June 19-25 2014. Book 2, Vol. 3. DOI: 10.5593/SGEM2014/B23/S11.052.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d1026a99-e8c2-42f5-ad87-a566090a8e5f
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