An exploratory study of enterprise resource planning adoption in Greek companies

Abstract

Purpose

To examine enterprise resource planning (ERP) adoption in Greek companies, and explore the effects of uncertainty on the performance of these systems and the methods used to cope with uncertainty.

Design/methodology/approach

This research was exploratory and six case studies were generated. This work was part of a larger project on the adoption, implementation and integration of ERP systems in Greek enterprises. A taxonomy of ERP adoption research was developed from the literature review and used to underpin the issues investigated in these cases. The results were compared with the literature on ERP adoption in the USA and UK.

Findings

There were major differences between ERP adoption in Greek companies and companies in other countries. The adoption, implementation and integration of ERP systems were fragmented in Greek companies. This fragmentation demonstrated that the internal enterprise's culture, resources available, skills of employees, and the way ERP systems are perceived, treated and integrated within the business and in the supply chain, play critical roles in determining the success/failure of ERP systems adoption. A warehouse management system was adopted by some Greek enterprises to cope with uncertainty.

Research limitations/implications

A comparison of ERP adoption was made between the USA, UK and Greece, and may limit its usefulness elsewhere.

Practical implications

Practical advice is offered to managers contemplating adopting ERP.

Originality/value

A new taxonomy of ERP adoption research was developed, which refocused the ERP implementation and integration into related critical success/failure factors and total integration issues, thus providing a more holistic ERP adoption framework.

Citation

Koh, S.C.L., Simpson, M., Padmore, J., Dimitriadis, N. and Misopoulos, F. (2006), "An exploratory study of enterprise resource planning adoption in Greek companies", Industrial Management & Data Systems, Vol. 106 No. 7, pp. 1033-1059. https://doi.org/10.1108/02635570610688913