A Preliminary Empirical Study of the Diffusion of ERP Systems in Austrian and British SMEs

Edward Bernroider, Nelson K.H. Tang

Publication: Working/Discussion PaperWU Working Paper

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Abstract

This paper presents the work in progress regarding an international research project based on an empirical survey. It focuses on the early stages of making the adoption decision, thereafter evaluating and selecting an Enterprise Resource Planning (ERP) system prior to implementation in Small to Medium sized Enterprises (SMEs). The project seeks to close some of the identified gaps in ERP research. In addition, it attempts to link the results of the early stages of decision making to implementation, usage and evolution success in order to allow important conclusions to be made, for example, on the best practices in decision making or decision quality and success. This project will be restricted to the case of ERP software but will also give insights into the potential of integrating ERP and other important applications such as Customer Relationship Management (CRM) or Supply Chain Management (SCM). The proposed research seeks to identify any differences and similarities contributing to the analysed research areas between British and Austrian companies. The choice of companies originating from two different regions in Europe is an important precondition in order to formulate results that will be applicable to the European Union in general. Due to the pervasive nature of ERP systems, our research results should be of interest to a wide range of professional and scholarly communities (from software engineering to accounting), in addition to the Information Systems (IS) field. The results presented should especially help practitioners in SMEs facing the important task of introducing an ERP system into their company. (author's abstract)

Publication series

SeriesWorking Papers on Information Systems, Information Business and Operations
Number03/2003
ISSN2518-6809

WU Working Paper Series

  • Working Papers on Information Systems, Information Business and Operations

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