The Implementation of Cloud-Based ERP and Traditional ERP System for SME
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Abstract
Cloud technology, under various forms, is becoming more advanced and flexible, making it an essential component for success in the digital age and business process for companies. By enhancing the organization's performance, it can become a significant software provider, combining virtualization with cloud technology. The cost of ERP implementation is one of the concerns in SME for the financial. Currently, data communication and telecom companies offer, along with other communication and cloud storage services, access to on-line ERP, with standard modules with a few customization features, where time-to-deployment is considerably reduced, ERP being marketed as Software as Service. Small and large organizations can use different types of cloud computing. It can alter the commonality within the acronyms following Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). This paper's purpose is to identify the benefits and drawbacks of traditional ERP versus cloud-based ERP systems in small and large organizations. This paper investigates the business process for ERP implementation in SME, between Cloud-Based ERP and Traditional ERP System highlighting the differences in common approaches.
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References
Al Mourad, M.B. & Hussain, M. (2014). The impact of cloud computing on ITIL service strategy processes, International Journal of Computer and Communication Engineering, 3(5), 367-371. http://doi.org/10.7763/IJCCE.2014.V3.351
Al-Shboul, M.A., (2018). Towards better understanding of determinant logistical factors in SMEs for cloud ERP adoption in developing economies. Business Process Management Journal, 25(5), 887–907. https://doi.org/10.1108/BPMJ-01-2018-0004
Ali, O., Shrestha, A., Osmanaj, V. & Muhammed, S. (2020). Cloud computing technology adoption: an evaluation of key factors in local governments. Information Technology and People, 34(2), 666-703. https://doi.org/10.1108/ITP-03-2019-0119
Chege, S. M., & Wang, D. (2020). Information technology innovation and its impact on job creation by SMEs in developing countries: an analysis of the literature review. Technology Analysis and Strategic Management, 32(3), 256-271.
Chopra, R., Sawant, L., Kodi, D., & Terkar, R. (2022). Utilization of ERP systems in manufacturing industry for productivity improvement. Materials Today: Proceedings, 62, 1238-1245. https://doi.org/10.1016/j.matpr.2022.04.529
Chung, S.H., & Snyder, C.A. (2000). ERP adoption: a technological evolution approach. International Journal of Agile Management Systems, 2(1), 24-31. https://doi.org/10.1108/14654650010312570
Columbus, L. (2012, 31 October). SaaS adoption accelerates, goes global in the enterprise. http://softwarestrategiesblog.com/category/competitive-analysis.
Gaol, F. L., Deniansyah, M. F., & Matsuo, T. (2023). The measurement impact of ERP system implementation on the automotive industry business process efciency. International Journal of Business Information Systems, 43(3), 429–442. https://doi.org/10.1504/IJBIS.2023.132124
Karim, B., Tan, Q., Villar, JR., & de la Cal, E. (2017). Resource brokerage ontology for vendor-independent cloud service management. In 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). (pp. 466–472). IEEE.
Karkoskova, S. & Feuerlicht, G. (2014). Itil as a framework for management OF cloud services. International Journal of Research in Engineering and Technology, 3(17), 55-60.
Khayer, A., Bao, Y., & Nguyen, B. (2020). Understanding cloud computing success and its impact on firm performance: an integrated approach. Industrial Management & Data Systems, 120(5), 963-985. https://doi.org/10.1108/IMDS-06-2019-0327
Kumar, K., & Hillegersberg, J. V. (2000). ERP Experiences and Evolution. Communications of the ACM, 43(4), 22-26. https://doi.org/10.1145/332051.332063
Motwani, B. (2017). Impact of resources in enterprise resource planning (ERP) implementation process on internal process of an organization. Amity Business Review, 18(1), 68–79.
Navimipour, N. J., Navin, A. H., Rahmani, A. M. & Hosseinzadeh, M. (2015). Behavioral modeling and automated verification of a Cloud-based framework to share the knowledge and skills of human resources. Computers in Industry, 68, 65-77. https://doi.org/10.1016/j.compind.2014.12.007
Noor, T. H., Zeadally, S., Alfazi, A., & Sheng, Q. Z. (2018). Mobile cloud computing: Challenges and future research directions. Journal of Network and Computer Applications, 115, 70-85. https://doi.org/10.1016/j.jnca.2018.04.018
Osterrieder, P., Budde, L., & Friedli T. (2020). The smart factory as a key construct of industry 4.0: A systematic literature review. International Journal of Production Economics, 221, 107476. https://doi.org/10.1016/j.ijpe.2019.08.011
Rashid, A. & Chaturvedi, A. (2019). Cloud computing characteristics and services: A brief review. International Journal of Computer Sciences and Engineering, 7(2), 421-426. https://doi.org/10.26438/ijcse/v7i2.421426
Rouhani, S., & Mehri, M., (2018). Empowering benefits of ERP systems implementation: empirical study of industrial firms. Journal of Systems and Information Technology, 20(1), 54-72. https://doi.org/10.1108/JSIT-05-2017-0038
Salur, M. N., Kattar, W. K. (2021). The impact of enterprise resource planning (ERP) on the audit in the context of emerging technologies. Ekonomi Maliye İşletme Dergisi, 4(2), 115–123. https://doi.org/10.46737/emid.1032735
Stupar, I., & Huljenić, D. (2019). Model-based extraction of knowledge about the effect of cloud application context on application service cost and quality of service. Scientific Programming, 2019(1), 5075412. https://doi.org/10.1155/2019/5075412
Varghese, B., & Buyya, R. (2018). Next generation cloud computing: New trends and research directions. Future Generation Computer Systems, 79, 849-861. https://doi.org/10.1016/j.future.2017.09.020
Venkatachalam, A. R. (2006). A holistic perspective on enterprise integration. Journal of Information Technology Case and Application Research, 8(1), 1-6. https://doi.org/10.1080/15228053.2006.10856079
Vu, K., Hartley, K., & Kankanhalli, A. (2020). Predictors of cloud computing adoption: A cross-country study. Telematics and Informatics, 52, 101426. https://doi.org/10.1016/j.tele.2020.101426
Yuan S. J., Li X., & Wu J. (2021). Research on the Impact of Knowledge Search on the Quality of Corporate Innovation - The Moderating Role of Redundant Resources and Absorptive Capacity. Journal of Audit & Economics, 36(3), 99-106.
