A study to evaluate the effectiveness of simulation based decision support system in ERP implementation in SMEs
Ali, Mahmood and Cullinane, Joanna (2014) A study to evaluate the effectiveness of simulation based decision support system in ERP implementation in SMEs. Procedia Technology, 16. pp. 542-552. ISSN 2212-0173 (doi:https://doi.org/10.1016/j.protcy.2014.10.002)
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Abstract
ERP system implementation is a challenging process and small medium enterprises (SMEs) face considerable challenges in implementing ERP system due to their limited resources and IT infrastructure. Still, due to their benefits, ERP systems are becoming an integral part of SMEs. This study evaluates the role simulation based modelling can play in assisting SMEs in ERP implementation. The key informants representing diverse backgrounds are interviewed to collected data. The findings of the research show that Key participants supported the idea of incorporating simulation based model during the implementation process since a simulation based approach make more sense since it will allow the implementation team to observe the implementation process and the role played by factors which are essential for the success of the implementation. Also, simulation model can also be useful in developing and analyzing different implementation strategies, predict efforts and resources needed for ERP implementation, which in turn can facilitate decision makers in adopting a ERP system or not.
Item Type: | Article |
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Additional Information: | [1] Copyright: (c) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). [2] Peer-review under responsibility of the Organizing Committee of CENTERIS 2014. [3] Published in Procedia Technology, Volume 16, 2014 - 6th Conference on ENTERprise Information Systems – aligning technology, organizations and people, CENTERIS 2014. |
Uncontrolled Keywords: | ERP system, small and medium enterprises, decision support systems, simulation modelling |
Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HE Transportation and Communications H Social Sciences > HF Commerce |
Faculty / School / Research Centre / Research Group: | Faculty of Business |
Related URLs: | |
Last Modified: | 14 Oct 2016 21:31 |
URI: | http://gala.gre.ac.uk/id/eprint/12520 |
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