History, Features, Challenges and Critical Success Factors of ERP in the ERA of Industry 4.0
Keywords:
Enterprise Resource Planning, ERP, Industry 4.0, information managemen, data managementAbstract
This paper uses a state-of-the-art review system with a purpose to review and synthesize the latest information on the possible integration of potential disruptive technologies into the future development of ERP. Different software, such as Material Requirement Planning (MRP), Manufacturing Resource Planning (MRPII), and Computer Integrated Manufacturing (CIM) have been found to be the base of existing versions of ERP. Potential disruptive Industry 4.0 technologies that can be integrated into ERP are found to be artificial intelligence, business intelligence, internet of things, big data, blockchain technology, and omnichannel strategy. Notable Critical Success Factors of ERP are 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 paper could help the future ERP researchers and respective stakeholders contribute to integrate newer features in the future versions of ERP.
References
Abdulraheem, A. S., Abdulla, A. I., & Mohammed, S. M. (2020).
Enterprise Resource Planning Systems and Challenges. Technology
Reports of Kansai University. 62(4). 1885-1894.
Ahmed, N., Shaikh, A. A., & Sarim, M. (2017). Critical success
factors plays a vital role in ERP implementation in developing
countries: an exploratory study in Pakistan. International Journal of
Advanced Computer Science and Applications, 8(10), 21-29.
Akter, S., & Carillo, K. (2018). ERP Adoption and Use in Production
Research: An Archival Analysis and Future Research Directions.
Challenges and Opportunities in the Digital Era, 539.
Al-Amin, M., Hossain, T., & Islam, J. (2021). The Technology
Development and Management of Smart Manufacturing System: A
Review On Theoretical and Technological Perspectives. European
Scientific Journal, 17(43), 170-193. 10.19044/esj.2021.v17n43p170
AlBar, A. M., & Hoque, M. R. (2017). Factors affecting cloud ERP
adoption in Saudi Arabia. Information Development,
10.1177/0266666917735677
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.
Ali, M., & Miller, L. (2017). ERP system implementation in large
enterprises–a systematic literature review. Journal of Enterprise
Information Management.
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.
Baig, M. I., Shuib, L., & Yadegaridehkordi, E. (2019). Big data
adoption: State of the art and research challenges. Information
Processing & Management, 56(6), 102095.
1016/j.ipm.2019.102095
Baig, M. I., Shuib, L., & Yadegaridehkordi, E. (2019). Big data
adoption: State of the art and research challenges. Information
Processing & Management, 56(6), 102095.
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.
Banerjee, A. (2018). Blockchain technology: supply chain insights
from ERP. In Advances in computers (Vol. 111, pp. 69-98). Elsevier.
Beasley, T. B., Cearley, T. W., Chandler, D. A., Gondring, K. A.,
Guarino, R. A., Hutchins, W. G., ... & Smith, C. M. (1989). U.S.
Patent No. 4,827,423. Washington, DC: U.S. Patent and Trademark
Office.
Cailean, D. A., & Sharifi, K. (2014). Mobile ERP: A literature review
on the concept of Mobile ERP systems.
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).
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-
Demi, S., & Haddara, M. (2018). Do Cloud ERP Systems Retire? An
ERP Lifecycle Perspective. Procedia Computer Science, 138, 587–
10.1016/j.procs.2018.10.079
Dillon, T., Wu, C., & Chang, E. (2010). Cloud Computing: Issues
and Challenges. 2010 24th IEEE International Conference on
Advanced Information Networking and Applications.
1109/aina.2010.187
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.
Egwutuoha, I. P., Chen, S., Levy, D., & Calvo, R. (2013). Costeffective
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.
. The Steering Committee of The World Congress in Computer
Science, Computer Engineering and Applied Computing
(WorldComp).
ElMadany, H., Alfonse, M., & Aref, M. (2022). Forecasting in
Enterprise Resource Planning (ERP) Systems: A Survey. Digital
Transformation Technology, 395-406.
Elragal, A. (2014). ERP and Big Data: The Inept Couple. Procedia
Technology, 16, 242–249. 10.1016/j.protcy.2014.10.089
Farhat, J., & Owayjan, M. (2017). ERP neural network inventory
control. Procedia computer science, 114, 288-295.
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),
(3-3), 13-17.
Ghobakhloo, M., Azar, A., & Tang, S. H. (2018). Business value of
enterprise resource planning spending and scope. Kybernetes.
1108/k-01-2018-0025
Gottipati, P. (2020). Information security considerations for cloudbased
Enterprise Resource Planning system and best practices for its
retirement phase. 10.7939/r3-rhe2-8e43
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.
Guevara Patiño, R. (2016). The State of the Art as a Research
Technique: Knowledge Analysis or Quest for New Meanings?.
Folios, (44), 165-179.
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.
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).
Hadidi, M., & Hadidi, S. (2020). ERP Security Based on Web
Services. Global Journal of Computer Science and Technology.
Hernes, M., Rot, A., & Jelonek, D. (Eds.). (2020). Towards Industry
0 — Current Challenges in Information Systems. Studies in
Computational Intelligence. doi:10.1007/978-3-030-40417-8
Jadeja, Y., & Modi, K. (2012). Cloud computing - concepts,
architecture and challenges. 2012 International Conference on
Computing, Electronics and Electrical Technologies (ICCEET).
1109/icceet.2012.6203873
Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and
challenges of big data research. Big Data Research, 2(2), 59-64.
Katuu, S. (2020). Enterprise Resource Planning: Past, Present, and
Future. New Review of Information Networking, 25(1), 37–46.
1080/13614576.2020.1742770
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.
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.
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-
Klaus, H., Rosemann, M., & Gable, G. G. (2000). What is ERP?
Information systems frontiers, 2(2), 141-162.
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,
(1), 1112.
Kurbel, K. E. (2012). MRP II: Manufacturing Resource Planning.
Enterprise Resource Planning and Supply Chain Management, 61–
10.1007/978-3-642-31573-2_3
Labrinidis, A., & Jagadish, H. V. (2012). Challenges and
opportunities with big data. Proceedings of the VLDB Endowment,
(12), 2032-2033.
Leandro, F. C. F., Méxas, M. P., da Silveira Batista, H. M. C., Dias,
A. C., & Drumond, G. M. (2019). Identification of The Most
Influential Critical Success Factors in The Application of ERP
Systems In Brazilian Public Educational Institutions.
InterSciencePlace, 14(3).
Lee, J. K. (2018). Utilization of RFID Technology for Omni-channel
Fulfillment in the See-Now-Buy-Now Business Model of Fashion.
Proceedings of the 2018 ACM International Joint Conference and
International Symposium on Pervasive and Ubiquitous
Computing and Wearable Computers - UbiComp ’18.
1145/3267305.3267630
Li, L. X., Chaudhry, S. S., Chaudhry, P. E., & Wang, Y. (2001).
Evaluation of a acquiring and implementing a manufacturing
resource planning system. Production and Inventory Management
Journal, 42(3/4), 1.
Liu, J. H., & Chen, M. J. (2020). ERP Virtual Simulation Practice
Platform based on Big Data. DEStech Transactions on Social
Science, Education and Human Science, (icesd).
Loon, L. T., Yee, K. M., Mahdzir, A., & Bakar, N. A. (2017). Critical
Success Factors (CSF) of ERP Implementation: A Study with TRIZ
Perception Mapping. Malaysian Construction Research Journal
(MCRJ), 1(1), 140-259.
Majeed, A. A., & Rupasinghe, T. D. (2017). Internet of things (IoT)
embedded future supply chains for industry 4.0: An assessment from
an ERP-based fashion apparel and footwear industry. International
Journal of Supply Chain Management, 6(1), 25-40.
Majstorovic, V., Stojadinovic, S., Lalic, B., & Marjanovic, U. (2020,
August). ERP in Industry 4.0 Context. In IFIP International
Conference on Advances in Production Management Systems (pp.
-294). Springer, Cham.
Marinho, M., Prakash, V., Garg, L., Savaglio, C., & Bawa, S. (2021).
Effective Cloud Resource Utilisation in Cloud ERP Decision-Making
Process for Industry 4.0 in the United States. Electronics, 10(8), 959.
Mbaya, M. M. N. (2000). The constraints and limitations of
manufacturing resource planning (MRP II) as a tool for shop floor
control (Doctoral dissertation, Massachusetts Institute of
Technology).
Mena, C., Bourlakis, M., Hübner, A., Wollenburg, J., & Holzapfel,
A. (2016). Retail logistics in the transition from multi-channel to
omni-channel. International Journal of Physical Distribution &
Logistics Management.
Mezghani, K. (2019). From on-premise ERP to cloud ERP. In
Advanced methodologies and technologies in business operations
and management (pp. 816-826). IGI Global.
Mirsch, T., Lehrer, C., & Jung, R. (2016). Channel integration
towards omnichannel management: a literature review.
Muhammad, G., Asif, H., Abbas, F., Memon, I., & Fazal, H. (2020).
An ERP Based Blood Donation Management System for Hospital
and Donor. Sukkur IBA Journal of Emerging Technologies, 3(1), 44-
Muslmani, B. K., Kazakzeh, S., Ayoubi, E., & Aljawarneh, S. (2018).
Reducing integration complexity of cloud-based ERP systems.
Proceedings of the First International Conference on Data Science,
E-Learning and Information Systems - DATA ’18.
doi:10.1145/3279996.3280033
Nagalingam, S. V., & Lin, G. C. (1999). Latest developments in
CIM. Robotics and Computer-Integrated Manufacturing, 15(6), 423-
Noori, S., Feylizadeh, M. R., Bagherpour, M., Zorriassatine, F., &
Parkin, R. M. (2008). Optimization of material requirement planning
by fuzzy multi-objective linear programming. Proceedings of the
Institution of Mechanical Engineers, Part B: Journal of Engineering
Manufacture, 222(7), 887–900. 10.1243/09544054jem1014
Olaore, R. A., & Olayanju, M. (2013). Purchasing Functions and
MRP in Foodservice Firms. European Journal of Business and
Management, 5(13), 107-113.
Omar, K., & Gómez, J. M. (2016, November). A selection model of
ERP system in mobile ERP design science research: Case study:
mobile ERP usability. In 2016 IEEE/ACS 13th International
Conference of Computer Systems and Applications (AICCSA) (pp. 1-
. IEEE.
Omar, K., Rapp, B., & Gómez, J. M. (2016). Heuristic evaluation
checklist for mobile ERP user interfaces. In 2016 7th International
Conference on Information and Communication Systems (ICICS) (pp.
-185). IEEE.
Oztemel, E., & Gursev, S. (2018). Literature review of Industry 4.0
and related technologies. Journal of Intelligent Manufacturing.
1007/s10845-018-1433-8
Parikh, T. (2018). The ERP of the future: blockchain of things. Int. J.
Sci. Res. Sci. Eng. Technol., 4(1), 1341-1348.
Patel, D. M. (2018). CRM Integrates With ERP. Red'shine
Publication. Pvt. Ltd.
Peng, G. C., & Nunes, M. B. (2009). Surfacing ERP exploitation
risks through a risk ontology. Industrial Management & Data
Systems.
Puthal, D., Sahoo, B. P. S., Mishra, S., & Swain, S. (2015). Cloud
computing features, issues, and challenges: a big picture. In 2015
International Conference on Computational Intelligence and
Networks (pp. 116–123). IEEE.
Ranjan, S., Jha, V. K., & Pal, P. (2016). Literature review on ERP
implementation challenges. International Journal of Business
Information Systems, 21(3), 388. 10.1504/ijbis.2016.074766
Rashid, M. A., Hossain, L., & Patrick, J. D. (2002). The evolution of
ERP systems: A historical perspective. In Enterprise Resource
Planning: Solutions and Management (pp. 35-50). IGI global.
Reitsma, E., & Hilletofth, P. (2018). Critical success factors for ERP
system implementation: A user perspective. European Business
Review.
Rîndaşu, S.-M. (2018). Information security challengesvulnerabilities
brought by ERP applications and cloud platforms.
Audit Financiar, 16(149), 131–139.
Robert Jacobs, F., & “Ted” Weston, F. C. (2007). Enterprise resource
planning (ERP)—A brief history. Journal of Operations
Management, 25(2), 357–363. 10.1016/j.jom.2006.11.005
Rojek, I., & Jagodziński, M. (2012, March). Hybrid artificial
intelligence system in constraint based scheduling of integrated
manufacturing ERP systems. In International Conference on Hybrid
Artificial Intelligence Systems (pp. 229-240). Springer, Berlin,
Heidelberg.
Rouhani, S., & Mehri, M. (2016). Does ERP have benefits on the
business intelligence readiness? An empirical study. International
Journal of Information Systems and Change Management, 8(2), 81.
1504/ijiscm.2016.079559 1789
Rouhani, S., & Ravasan, A. Z. (2013). ERP success prediction: An
artificial neural network approach. Scientia Iranica, 20(3), 992-1001.
Saa, P., Cueva Costales, A., Moscoso-Zea, O., & Luján-Mora, S.
(2017). Moving ERP systems to the cloud-data security issues.
Saa, P., Moscoso-Zea, O., Costales, A. C., & Luján-Mora, S. (2017).
Data security issues in cloud-based Software-as-a-Service ERP. In
12th Iberian Conference on Information Systems and
Technologies (CISTI) (pp. 1–7). IEEE.
Saghiri, S., & Mirzabeiki, V. (2021). Omni-channel integration: the
matter of information and digital technology. International Journal of
Operations & Production Management.
Sethia, V., & Saxena, K. (2021). Automated ERP System with
Internet of Things. In Innovative Data Communication Technologies
and Application (pp. 121-126). Springer, Singapore.
Shafi, K., Ahmad, U. S., Nawab, S., Bhatti, W. K., Shad, S. A.,
Hameed, Z., ... & Shoaib, F. (2019). Measuring performance through
enterprise resource planning system implementation. IEEE Access, 7,
-6702.
Shi, Z., & Wang, G. (2018). Integration of big-data ERP and business
analytics (BA). The Journal of High Technology Management
Research. 10.1016/j.hitech.2018.09.004
Small, R. (2016). Factors affecting the adoption of enterprise
resource planning (ERP) on cloud among small and medium
enterprises (SMES) in Penang, Malaysia. Journal of Theoretical and
Applied Information Technology, 88(3).
Stancu, A. M. R., & Drăguţ, B. M. (2018). ERP systems-past, present
and future. Knowledge Horizons. Economics, 10(4), 33-44.
Syreyshchikova, N. V., Pimenov, D. Y., Mikolajczyk, T., &
Moldovan, L. (2020). Automation of Production Activities of an
Industrial Enterprise based on the ERP System. Procedia
manufacturing, 46, 525-532.
Tavana, M., Hajipour, V., & Oveisi, S. (2020). IoT-based Enterprise
Resource Planning: Challenges, Open Issues, Applications,
Architecture, and Future Research Directions. Internet of Things,
10.1016/j.iot.2020.100262
Vadivelu, K., Balaji, N., Poongavanam, N., Tamilselvan, S., &
Rajakumar, R. (2018). Cloud-ERP: Implementation strategies,
benefits and challenges. International Journal of Pure and Applied
Mathematics, 119(14), 1359-1364.
Wang, X., & Gao, L. (2020). 5G Communication Technology in
Industry 4.0. In When 5G Meets Industry 4.0 (pp. 75-96). Springer,
Singapore.
Wee, H. M., & Shum, Y. S. (1999). Model development for
deteriorating inventory in material requirement planning systems.
Computers & industrial engineering, 36(1), 219-225.
Wijaya, S. F., Prabowo, H., Meyliana, & Kosala, R. (2017).
Identification of key success factors and challenges for ERP systems
— A systematic literature review. 2017 International Conference on
Applied Computer and Communication Technologies (ComCom).
1109/comcom.2017.8167091
Wölfel, K., & Smets, J. P. (2012). Tailoring FOS-ERP packages:
Automation as an opportunity for small businesses. In Free and Open
Source Enterprise Resource Planning: Systems and Strategies (pp.
-133). IGI Global.
Woo, H. S. (2007). Critical success factors for implementing ERP:
the case of a Chinese electronics manufacturer. Journal of
manufacturing technology management.
Wortmann, J. C. (1998). Evolution of ERP systems. In Strategic
Management of the manufacturing value chain (pp. 11-23). Springer,
Boston, MA.
Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2018).
Blockchain challenges and opportunities: A survey. International
Journal of Web and Grid Services, 14(4), 352-375.
Zhu, Z., & Lin, B. (2017, April). The research and implementation of
ERP-based Mobile Business Intelligence system. In 2017 5th
International Conference on Machinery, Materials and Computing
Technology (ICMMCT 2017). Atlantis Press.
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