Towards a Quantitative Performance Measurement Framework to Assess the Impact of Geographic Information Standards
Abstract
Over the last decennia, the use of Geographic Information (GI) has gained importance, in public as well as in private sector. But even if many spatial data and related information exist, data sets are scattered over many organizations and departments. In practice it remains difficult to find the spatial data sets needed, and to access, obtain and prepare them for using in applications. Therefore Spatial Data Infrastructures (SDI) haven been developed to enhance the access, the use and sharing of GI. SDIs consist of a set of technological and non-technological components to reach this goal. Since the nineties many SDI initiatives saw light. Ultimately, all these initiatives aim to enhance the flow of spatial data between organizations (users as well as producers) involved in intra- and inter-organizational and even cross-country business processes. However, the flow of information and its re-use in different business processes requires technical and semantic interoperability: the first should guarantee that system components can interoperate and use the data, while the second should guarantee that data content is understood by all users in the same way. GI-standards within the SDI are necessary to make this happen. However, it is not known if this is realized in practice. Therefore the objective of the research is to develop a quantitative framework to assess the impact of GI-standards on the performance of business processes. For that purpose, indicators are defined and tested in several cases throughout Europe. The proposed research will build upon previous work carried out in the SPATIALIST project. It analyzed the impact of different technological and non-technological factors on the SDI-performance of business processes (Dessers et al., 2011). The current research aims to apply quantitative performance measurement techniques - which are frequently used to measure performance of production processes (Anupindi et al., 2005). Key to reach the research objectives is a correct design of the test cases. The major challenge is: to set-up the analytical framework for analyzing the impact of GI-standards on the process performance, to define the appropriate indicators and to choose the right test cases. In order to do so, it is proposed to define the test cases as 8 pairs of organizations (see figure). The paper will present the state of the art of performance measurement in the context of work processes, propose a series of SMART indicators for describing the set-up and measure the performance, define the test case set-up and suggest criteria for the selection of the test cases, i.e. the organizational pairs. References Anupindi, R., Chopra, S., Deshmukh, S.D., Van Mieghem, J.A., & Zemel, E. (2006). Managing Business Process Flows: Principles of Operations Management. New-Jersey, USA: Prentice Hall. Dessers, D., Crompvoets, J., Janssen, K., Vancauwenberghe, G., Vandenbroucke, D. & Vanhaverbeke, L. (2011). SDI at work: The Spatial Zoning Plans Case. Leuven, Belgium: Katholieke Universiteit Leuven.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2012
- Bibcode:
- 2012AGUFMPA33B..03V
- Keywords:
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- 1930 INFORMATICS / Data and information governance;
- 1936 INFORMATICS / Interoperability;
- 1982 INFORMATICS / Standards;
- 1998 INFORMATICS / Workflow