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Local e-government Benchlearning: Impact analysis and applicability to smart cities benchmarking

Local e-government Benchlearning: Impact analysis and applicability to smart cities benchmarking We claim that local e-services benchmarking studies summarized in indexes dolittle to enhance city managers' and academics' understanding of actuale-government performance, or to improve the e-services offered by cities. Weundertook a different benchmarking approach, focused on learning bestpractices among cities, in late 2008 and early 2009. A benchlearningmethodology (BLM) was developed, and a pilot study with 15 European citieswas carried out. In this paper, we present the actual impact of thebenchmarking study with respect to improvements in services, as theeffectiveness of e-government benchmarking has rarely been evaluated. Wediscuss and analyse the results of a survey carried out in the same 15cities four years after the pilot study. This paper presents evidence thatBLM helped cities to identify good practices that they could learn from, andthat some e-services were subsequently improved. The survey reveals thatsome changes are needed in the benchmarking methodology. The main one is theupdating of the BLM bottom-up e-services catalogue, which is deeplydiscussed within the changing context of Smart Cities, especially theenlargement of the ecosystem of e-services to include citizens, the thirdsector, entrepreneurs, companies and other actors. A second one is themeasurement of the adoption of e-services by citizens, also rarely assessed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Polity IOS Press

Local e-government Benchlearning: Impact analysis and applicability to smart cities benchmarking

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Publisher
IOS Press
Copyright
Copyright © 2016 IOS Press and the authors. All rights reserved
ISSN
1570-1255
eISSN
1875-8754
DOI
10.3233/IP-150366
Publisher site
See Article on Publisher Site

Abstract

We claim that local e-services benchmarking studies summarized in indexes dolittle to enhance city managers' and academics' understanding of actuale-government performance, or to improve the e-services offered by cities. Weundertook a different benchmarking approach, focused on learning bestpractices among cities, in late 2008 and early 2009. A benchlearningmethodology (BLM) was developed, and a pilot study with 15 European citieswas carried out. In this paper, we present the actual impact of thebenchmarking study with respect to improvements in services, as theeffectiveness of e-government benchmarking has rarely been evaluated. Wediscuss and analyse the results of a survey carried out in the same 15cities four years after the pilot study. This paper presents evidence thatBLM helped cities to identify good practices that they could learn from, andthat some e-services were subsequently improved. The survey reveals thatsome changes are needed in the benchmarking methodology. The main one is theupdating of the BLM bottom-up e-services catalogue, which is deeplydiscussed within the changing context of Smart Cities, especially theenlargement of the ecosystem of e-services to include citizens, the thirdsector, entrepreneurs, companies and other actors. A second one is themeasurement of the adoption of e-services by citizens, also rarely assessed.

Journal

Information Polity – IOS Press

Published: Jan 1, 2016

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