Selection of a suitable enterprise resource planning system for an academic institution through the centroid method.

Authors

  • Javier Santiago Vargas Paredes Universidad Técnica de Ambato, Ecuador. https://orcid.org/0000-0001-7031-4388
  • Luciana Estefanía Nata Paredes Universidad Técnica de Cotopaxi, Ecuador.

DOI:

https://doi.org/10.35290/ro.v1n2.2020.325

Abstract

The present research establishes which of the Enterprise Resource Planning (ERP) systems help the proper academic management. The selection of an ERP can be determined by two demands, using the arbitrary selection by the administration of the institution or by the analytical selection according to the general characteristics of an ERP. In this context, the selection for the academic institution is established through a hierarchical analytical process (AHP), this process allows for the determination of the functional, modular, and economic characteristics of an ERP. These characteristics are called evaluation criteria for a group of ERP alternatives, therefore, the selection of a suitable ERP is prioritized using the AHP model, subsequently, these criteria are correlated with quantitative values with weights for each alternative, this is determined by means of the Centroid Method, which allows for multiple-criteria decision making.

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References

Efe, B. (2016). An integrated fuzzy multi criteria group decision making approach for ERP system selection. Applied Soft Computing Journal, 38, 106-117.

Ganesh, Amal, Shanil, K. N, Sunitha, C., Midhundas, A. M. (2016). OpenERP/Odoo - An Open Source Concept to ERP Solution.

Khaled, A., & Abdou Janati Idrissi, M. (2011). A learning driven model for ERP software selection based on the choquet integral: Small and medium enterprises context.

Li, H. -., Chang, S. -., & Yen, D. C. (2017). Investigating CSFs for the life cycle of ERP system from the perspective of IT governance. Computer Standards and Interfaces, 50, 269-279.

Mamoghli, S., Goepp, V., & Botta-Genoulaz, V. (2017). Aligning ERP systems with companies’ real needs: An ‘Operational model based’ method. Enterprise Information Systems, 11(2), 185-222.

Oztaysi, B. (2015). A group decision making approach using interval type-2 fuzzy ahp for enterprise information systems project selection. Journal of Multiple-Valued Logic and Soft Computing, 24(5-6), 475-500.

Olson, D. L., & Dorai, V. K. (1992). Implementation of the centroid method of solymosi and dombi. European Journal of Operational Research, 60(1), 117-129.

Qian, L. Y., Baharudin, A. S., & Kanaan-Jebna, A. (2016). Factors affecting the adoption of enterprise resource planning (ERP) on cloud among small and medium enterprises (SMES) in penang, malaysia. Journal of Theoretical and Applied Information Technology, 88(3), 398-409.

Sakakura, T., Shiba, M., & Munaka, T. (2016). An empirical study of applying a reflective-distributed memory for automation systems. Paper presented at the International Conference on Ubiquitous and Future Networks, ICUFN, , 2016-August 347-352.

Sun, H. F., & Wang, Y. Y. (2014). The evaluation of internal control system of power supply enterprises in ERP environment

Zeppetella, L., Gebennini, E., Grassi, A., & Rimini, B. (2016). A decision framework for upgrading ERP systems. Paper presented at the Proceedings of the Summer School Francesco Turco, , 13-15-September-2016 87-91.

Published

2020-06-10

How to Cite

Vargas Paredes, J. S., & Nata Paredes, L. E. (2020). Selection of a suitable enterprise resource planning system for an academic institution through the centroid method. ODIGOS JOURNAL, 1(2), 39–52. https://doi.org/10.35290/ro.v1n2.2020.325

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Section

Articles