Affiliations 

  • 1 Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh 11461, Saudi Arabia
  • 2 School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
  • 3 Department of Information Systems, Faculty of Science and Arts, King Khalid University, Muhayel Aseer, Abha 61913, Saudi Arabia
  • 4 Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
  • 5 Department of Computer Science, University of Khartoum, Khartoum 11111, Sudan
  • 6 Department of Computer Science, College of Computing and Information Technology, Taif University, Taif 11099, Saudi Arabia
  • 7 Computer Embedded System Laboratory CES-ENIS National School of Engineers of Sfax, University of Sfax, Sfax 3038, Tunisia
  • 8 Faculty of Engineering, Université de Moncton, Moncton, NB E1A 3E9, Canada
  • 9 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia
Sensors (Basel), 2021 Dec 15;21(24).
PMID: 34960483 DOI: 10.3390/s21248391

Abstract

Cloud ERP is a type of enterprise resource planning (ERP) system that runs on the vendor's cloud platform instead of an on-premises network, enabling companies to connect through the Internet. The goal of this study was to rank and prioritise the factors driving cloud ERP adoption by organisations and to identify the critical issues in terms of security, usability, and vendors that impact adoption of cloud ERP systems. The assessment of critical success factors (CSFs) in on-premises ERP adoption and implementation has been well documented; however, no previous research has been carried out on CSFs in cloud ERP adoption. Therefore, the contribution of this research is to provide research and practice with the identification and analysis of 16 CSFs through a systematic literature review, where 73 publications on cloud ERP adoption were assessed from a range of different conferences and journals, using inclusion and exclusion criteria. Drawing from the literature, we found security, usability, and vendors were the top three most widely cited critical issues for the adoption of cloud-based ERP; hence, the second contribution of this study was an integrative model constructed with 12 drivers based on the security, usability, and vendor characteristics that may have greater influence as the top critical issues in the adoption of cloud ERP systems. We also identified critical gaps in current research, such as the inconclusiveness of findings related to security critical issues, usability critical issues, and vendor critical issues, by highlighting the most important drivers influencing those issues in cloud ERP adoption and the lack of discussion on the nature of the criticality of those CSFs. This research will aid in the development of new strategies or the revision of existing strategies and polices aimed at effectively integrating cloud ERP into cloud computing infrastructure. It will also allow cloud ERP suppliers to determine organisations' and business owners' expectations and implement appropriate tactics. A better understanding of the CSFs will narrow the field of failure and assist practitioners and managers in increasing their chances of success.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.