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Abstract

Small and medium-sized enterprises (SMEs) are considered dynamic agents within the business environment. Currently, SMEs have great potential for strong growth and great profit. However, their growth is restricted by the lack of systems that would allow integrating their data and activities. One possible solution is the implementation of Enterprise Resource Planning (ERP) systems to increase the company’s level of efficiency, effectiveness, and productivity. However, implementation processes require investing resources and bring certain problems, e.g., the difficulty to fully adapt to the organization’s accounting and management procedures, and lack of experience of end-users in handling ERP systems. The aim of this study is focused on constructing a model for successfully implementing ERP systems into SMEs. This model used a group of critical success factors (CSF) to analyze empirical evidence in organizations. To its development, the interpretive structural modeling methodology was used, and it was validated in a focus group of experts in implementing and using ERP systems. The results show that the model is adequate for a successful implementation in SMEs engaged in sales, production, or service activities.

Original languageEnglish
Title of host publicationICEIS 2021 - Proceedings of the 23rd International Conference on Enterprise Information Systems
EditorsJoaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi
PublisherScience and Technology Publications, Lda
Pages95-104
Number of pages10
ISBN (Electronic)9789897585098
StatePublished - 2021
Event23rd International Conference on Enterprise Information Systems, ICEIS 2021 - Virtual, Online
Duration: 26 Apr 202128 Apr 2021

Publication series

NameInternational Conference on Enterprise Information Systems, ICEIS - Proceedings
Volume1
ISSN (Electronic)2184-4992

Conference

Conference23rd International Conference on Enterprise Information Systems, ICEIS 2021
CityVirtual, Online
Period26/04/2128/04/21

Keywords

  • Enterprise Resource Planning
  • Interpretive Structural Model
  • SMEs

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