Title

A Strategic Benchmarking Process for Identifying the Best Practice Collaborative Electronic Government Architecture

Document Type

Article

Publication Date

2011

DOI

https://doi.org/10.4018/jisss.2011040103

Abstract

The rapid growth of the Internet has given rise to electronic government (e-government) which enhances communication, coordination, and collaboration between government, business partners, and citizens. An increasing number of national, state, and local government agencies are realizing the benefits of e-government. The transformation of policies, procedures, and people, which is the essence of e-government, cannot happen by accident. An e-government architecture is needed to structure the system, its functions, its processes, and the environment within which it will live. When confronted by the range of e-government architectures, government agencies struggle to identify the one most appropriate to their needs. This paper proposes a novel strategic benchmarking process utilizing the simple additive weighting method (SAW), real options analysis (ROA), and fuzzy sets to benchmark the best practice collaborative e-government architectures based on three perspectives: Government-to-Citizen (G2C), Government-to-Business (G2B), and Government-to-Government (G2G). The contribution of the proposed method is fourfold: (1) it addresses the gaps in the e-government literature on the effective and efficient assessment of the e-government architectures; (2) it provides a comprehensive and systematic framework that combines ROA with SAW; (3) it considers fuzzy logic and fuzzy sets to represent ambiguous, uncertain or imprecise information; and (4) it is applicable to international, national, Regional, state/provincial, and local e-government levels.

Language

English

Comments

Zandi, F. and Tavana, M. (2011) ‘A Strategic Benchmarking Process for Identifying the Best Practice Collaborative Electronic Government Architecture,’ International Journal of Information Systems in the Service Sector, Vol. 3, No. 2, pp. 32-57.

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