An agile implementation model for ERP

Wijaya, Santo Fernandi and Prabowo, Harjanto and Kosala, Raymondus Raymond and Meyliana, Meyliana (2019) An agile implementation model for ERP. 2019 International Conference on Information Management and Technology (ICIMTech). pp. 1-6.

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Abstract

The growing impact of industrial dynamics will be a challenge to increase productivity. Productivity is a demand for improving organizational performance. ERP systems are a way to increase productivity. Therefore, ERP implementation is important to ensure that ERP runs well. Critical factors in ERP implementation must get serious attention to project management. Even so, the reality of ERP implementation is slowly, even tends to experience failure, resulting in highly expensive. The previous research that carried out ERP implementation showed that the failure reached 40%, and the achievement of the benefits of ERP implementation in Indonesia is still not optimal. It can be said that ERP implementation is a complexity project. For this reason, it is necessary to consider other implementation methods that can overcome the problem in implementing ERP. An agile method is a proactive and reactive alternative to handle the problem in implementing of ERP. The development of an agile ERP model is one way to achieve success in ERP implementation. This research methodology is a survey approach to the study of literature. This research will propose an agile ERP model which will be used as an effective guide for achieving the success of ERP implementation.

Item Type:	Article
Creators:	Wijaya, Santo Fernandi Prabowo, Harjanto Kosala, Raymondus Raymond Meyliana, Meyliana
Contributors:
Keywords:	Agile method, Agile ERP model, ERP implementation.
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware > 004.2 Systems Analysis and Design, Information Architecture, Performance Evaluation 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming > 005.4 System Programming, Operating System, Computer Interface 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods > 006.2 Special-purpose System, Data Collection, Automatic Identification and Data Capture
Divisions:	Faculty of Engineering & Informatics > Information System
Date Deposited:	25 Oct 2024 08:05
URI:	https://kc.umn.ac.id/id/eprint/32008

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