Title: Resource planning system for organisations - a soft computing approach
Authors: Erfan Zarafshan; Sina Gholami; Reza Sheikh; Shib Sankar Sana
Addresses: Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran ' Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran ' Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran ' Department of Mathematics, Kishore Bharati Bhagini Nivedita College, Behala, Kolkata-700060, India
Abstract: Information systems play a vital role in organisations to make successful business strategies according to the organisation's senior executives' vision to compete with other enterprises. Most organisations are investing more in the enterprise resource planning (ERP) system, which is a very critical area as negligence due to increasing demand for agility is rising. Therefore, the purpose of the present research is to measure the users' acceptance of an enterprise resource planning system. Applied research and the statistical population of this study include all employees of organisations following the ERP systems. In this research, the organisation's resource planning system is examined using four practical factors on the choice of ERP: including implementation cost, seller, software quality, and software capabilities of functionality. The theory of rough sets is used to analyse the data. After the establishment of standardised decision tables, the consecutive and incompatible cases are identified at the next stage, and then the reduction tables are obtained. Finally, the results of analysing 154 ERP users by rough set theory generally show that the seller and software quality increase the acceptance of establishing an ERP system.
Keywords: rough set theory; RST; enterprise resource planning; ERP; ERP implementation; data analysis.
International Journal of Services, Economics and Management, 2021 Vol.12 No.3, pp.272 - 293
Received: 15 Dec 2019
Accepted: 18 Dec 2020
Published online: 26 Oct 2021 *