Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 12 No 3: Agustus 2023

Pemodelan Pengukuran Kesiapan untuk Keberhasilan Implementasi Sistem Enterprise Resource Planning

Santo Fernandi Wijaya (Bina Nusantara University)
Jansen Wiratama (Multimedia Nusantara University)
Angelina Ervina Jeanette Egeten (Bina Nusantara University)



Article Info

Publish Date
01 Aug 2023

Abstract

In the digital era, companies are required to optimize technological innovation to increase capacity in achieving work that is more efficient, effective, productive, and has a competitive advantage. Companies must use the enterprise resource planning (ERP) system to improve efficiency, effectiveness, and productivity. Implementing an ERP system provides competitive advantages by means of decision-making proven for fast and precise management. ERP system is an integrated information system for strategic company management decision-making. For this reason, implementing an ERP system is necessary. Unfortunately, the fact shows that many companies fail to implement an ERP system, resulting in costly implementation expenses. Previous research has discussed empirical studies on the critical success factors for implementing an ERP system effectively. Therefore, further research still needs to be done by discussing ERP implementation from the perspective of measuring companies’ readiness levels in ERP system implementation. This research methodology criticized and analyzed the comparison of eleven prior research articles as a basis for developing a model to measure companies’ readiness levels in implementing ERP systems. This research examined quantitative data gathered through the use of questionnaire method to rank indicators for measuring companies’ readiness levels by identifying four dimensions and 27 indicators. This research aims to produce a model for measuring companies’ readiness to implement the ERP system on time successfully.

Copyrights © 2023






Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...