History, Features, Challenges, and Critical Success Factors of Enterprise Resource Planning (ERP) in The Era of Industry 4.0
Keywords:
Enterprise Resource Planning, ERP, blockchain
Abstract
ERP has been adopting newer features over the last several decades and shaping global businesses with the advent of newer technologies. This research article uses a state-of-the-art review method with the purpose to review and synthesize the latest information on the possible integration of potential Industry 4.0 technologies into the future development of ERP. Different software that contributed to the development of the existing ERP is found to be Material Requirement Planning (MRP), Manufacturing Resource Planning (MRPII), and Computer Integrated Manufacturing (CIM). Potential disruptive Industry 4.0 technologies that are featured to be integrated into future ERP are artificial intelligence, business intelligence, the internet of things, big data, blockchain technology, and omnichannel strategy. Notable Critical Success Factors of ERP have been reported to be top management support, project team, IT infrastructure, communication, skilled staff, training & education, and monitoring & evaluation. Moreover, cybersecurity has been found to be the most challenging issue to overcome in future versions of ERP. This review article could help future ERP researchers and respective stakeholders contribute to integrating newer features in future versions of ERP.
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References
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6. Aldossari, S., & Mokhtar, U. A. (2020). A Model to Adopt Enterprise Resource Planning (ERP) and Business Intelligence (BI) among Saudi SMEs. International Journal of Innovation, 8(2), 305-347.
7. Ali, M., & Miller, L. (2017). ERP system implementation in large enterprises–a systematic literature review. Journal of Enterprise Information Management.
8. Ande, R., Adebisi, B., Hammoudeh, M., & Saleem, J. (2020). Internet of Things: Evolution and technologies from a security perspective. Sustainable Cities and Society, 54, 101728.
9. Baig, M. I., Shuib, L., & Yadegaridehkordi, E. (2019). Big data adoption: State of the art and research challenges. Information Processing & Management, 56(6), 102095. 10.1016/j.ipm.2019.102095
10. Baig, M. I., Shuib, L., & Yadegaridehkordi, E. (2019). Big data adoption: State of the art and research challenges. Information Processing & Management, 56(6), 102095.
11. Bandara, F., & Jayawickrama, U. (2021). Emerging Interactions of ERP Systems, Big Data and Automotive Industry. In Advances in Software Engineering, Education, and e-Learning (pp. 863-877). Springer, Cham.
12. Banerjee, A. (2018). Blockchain technology: supply chain insights from ERP. In Advances in computers (Vol. 111, pp. 69-98). Elsevier.
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15. Chausi, B. A., Chausi, A., & Dika, Z. (2016). Critical success factors in ERP implementation. Academic Journal of Business, Administration, Law and Social Sciences, 2(3).
16. Delgir, M., & Pourjabbar, M. (2018). Critical Success Factors (CSF) for Enterprise Resource Planning (ERP) in Financial Institutes (Case Study: Bank Saderat Iran). Int. J. Comput. & Info. Technol, 6(2), 77-88.
17. Demi, S., & Haddara, M. (2018). Do Cloud ERP Systems Retire? An ERP Lifecycle Perspective. Procedia Computer Science, 138, 587–594. 10.1016/j.procs.2018.10.079
18. Dillon, T., Wu, C., & Chang, E. (2010). Cloud Computing: Issues and Challenges. 2010 24th IEEE International Conference on Advanced Information Networking and Applications. 10.1109/aina.2010.187
19. Dinesh, E. D., Arun, A. P., & Pranav, R. (2014). Material requirement planning for automobile service plant. International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), 3(3), 1171-1175.
20. Egwutuoha, I. P., Chen, S., Levy, D., & Calvo, R. (2013). Cost-effective cloud services for HPC in the cloud: The IaaS or the HaaS?. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA) (p. 217). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
21. ElMadany, H., Alfonse, M., & Aref, M. (2022). Forecasting in Enterprise Resource Planning (ERP) Systems: A Survey. Digital Transformation Technology, 395-406.
22. Elragal, A. (2014). ERP and Big Data: The Inept Couple. Procedia Technology, 16, 242–249. 10.1016/j.protcy.2014.10.089
23. Farhat, J., & Owayjan, M. (2017). ERP neural network inventory control. Procedia computer science, 114, 288-295.
24. Gheni, A. Y., Jusoh, Y. Y., Jabar, M. A., & Ali, N. M. (2017). The critical success factors (CSFs) for IT projects. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-3), 13-17.
25. Ghobakhloo, M., Azar, A., & Tang, S. H. (2018). Business value of enterprise resource planning spending and scope. Kybernetes. 10.1108/k-01-2018-0025
26. Gottipati, P. (2020). Information security considerations for cloud-based Enterprise Resource Planning system and best practices for its retirement phase. 10.7939/r3-rhe2-8e43
27. Goundar, S., Nayyar, A., Maharaj, M., Ratnam, K., & Prasad, S. (2021). How artificial intelligence is transforming the ERP systems. Enterprise Systems and Technological Convergence: Research and Practice, 85.
28. Guevara Patiño, R. (2016). The State of the Art as a Research Technique: Knowledge Analysis or Quest for New Meanings?. Folios, (44), 165-179.
29. Gupta, S., & Misra, S. C. (2016). Compliance, network, security and the people related factors in cloud ERP implementation. International Journal of Communication Systems, 29(8), 1395-1419.
30. Hader, M., El Mhamedi, A., & Abouabdellah, A. (2021, January). Blockchain Integrated ERP for a Better Supply Chain Management. In 2021 The 8th International Conference on Industrial Engineering and Applications (Europe) (pp. 193-197).
31. Hadidi, M., & Hadidi, S. (2020). ERP Security Based on Web Services. Global Journal of Computer Science and Technology.
32. Hernes, M., Rot, A., & Jelonek, D. (Eds.). (2020). Towards Industry 4.0 — Current Challenges in Information Systems. Studies in Computational Intelligence. doi:10.1007/978-3-030-40417-8
33. Jadeja, Y., & Modi, K. (2012). Cloud computing - concepts, architecture and challenges. 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET). 10.1109/icceet.2012.6203873
34. Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and challenges of big data research. Big Data Research, 2(2), 59-64.
35. Katuu, S. (2020). Enterprise Resource Planning: Past, Present, and Future. New Review of Information Networking, 25(1), 37–46. 10.1080/13614576.2020.1742770
36. Kaur, H., & Singh, H. (2016) Data Analytics as a Service (Daaas): Cloud Based Analytical Model. International Journal of Innovative Research in Science and Engineering. 2(8), 531-540.
37. Khan, W. Z., Rehman, M. H., Zangoti, H. M., Afzal, M. K., Armi, N., & Salah, K. (2020). Industrial internet of things: Recent advances, enabling technologies and open challenges. Computers & Electrical Engineering, 81, 106522.
38. Kim, J. C., & Chun, S. H. (2018). Cannibalization and competition effects on a manufacturer's retail channel strategies: Implications on an omni-channel business model. Decision Support Systems, 109, 5-14.
39. Klaus, H., Rosemann, M., & Gable, G. G. (2000). What is ERP? Information systems frontiers, 2(2), 141-162.
40. Koupaei, M. N., Mohammadi, M., & Naderi, B. (2016). An Integrated Enterprise Resources Planning (ERP) Framework for Flexible Manufacturing Systems Using Business Intelligence (BI) Tools. International Journal of Supply and Operations Management, 3(1), 1112.
41. Kurbel, K. E. (2012). MRP II: Manufacturing Resource Planning. Enterprise Resource Planning and Supply Chain Management, 61–93. 10.1007/978-3-642-31573-2_3
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Published
2023-02-28
How to Cite
Al-Amin, M., Hossain, M. T., Islam, M. J., & Kumar Biwas, S. (2023). History, Features, Challenges, and Critical Success Factors of Enterprise Resource Planning (ERP) in The Era of Industry 4.0. European Scientific Journal, ESJ, 19(6), 31. https://doi.org/10.19044/esj.2023.v19n6p31
Section
ESJ Natural/Life/Medical Sciences
Copyright (c) 2023 Al-Amin Md., Md. Hossain T., Md. Islam J. & Biwas S.K.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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