IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Mapping and Data Base Modeling for Public Sector Strategic Enterprise Resource Planning

Mapping and Data Base Modeling for Public Sector Strategic Enterprise Resource Planning
View Sample PDF
Author(s): J.D. Thomson (RMIT University, Australia)
Copyright: 2011
Pages: 14
Source title: Handbook of Research on E-Services in the Public Sector: E-Government Strategies and Advancements
Source Author(s)/Editor(s): Abid Thyab Al Ajeeli (University of Bahrain, Bahrain)and Yousif A. Latif Al-Bastaki (University of Bahrain, Bahrain)
DOI: 10.4018/978-1-61520-789-3.ch025

Purchase

View Mapping and Data Base Modeling for Public Sector Strategic Enterprise Resource Planning on the publisher's website for pricing and purchasing information.

Abstract

This Enterprise Resource Planning database model provides a systematic, logical and regular basis for the collection, collation, dissemination and mapping of strategic Enterprise Resource Planning data. Selective access to this accurate and timely data will improve public sector strategic Enterprise Resource Planning performance, accountability and administration. It will assist the public sector to be more effective and efficient in resource allocation and investment outcomes measurement, is transparent, and will encourage the development of trust, networks and social capital amongst public sector employees and their suppliers. The model has been successfully demonstrated through the establishment and analysis of an Enterprise Resource Planning data base with the Australian Department of Defence (ADoD). The Australian ADoD is a Federal Government Department with a FY 2008/9 spend of AU$9.3bn on products (goods and services), their support and maintenance, from almost every industry sector, on a global basis. While the implementation of Enterprise Resource Planning is usually viewed as a means of reducing transaction costs, in practice such implementation often increases transaction costs. Public sector bureaucratic hierarchies and their governance systems contribute to transaction costs. This research provides an Enterprise Resource Planning database model so that the public sector can achieve improved field mapping and strategic Enterprise Resource Planning using existing data and resources at lowest transaction cost.

Related Content

. © 2023.
. © 2023.
. © 2023.
. © 2023.
. © 2023.
. © 2023.
. © 2023.
Body Bottom