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Framework Management to Minimize Risk in Protecting Enterprise Systems: Systematic Literature Review
Abstract
Purpose: This study aims to determine the efforts to minimize the occurrence of risks in enterprise systems and how far the framework is applied to an organization, as well as what steps must be applied in anticipation of it.
Design/methodology/approach: This study uses a systematic review research method of literature published by international journals in the period 2016 to 2021 which is subscribed to by Diponegoro University.
Findings/result: Most of the selected journals stated that in an effort to secure enterprise systems in an organization, they really consider several aspects in it, especially in terms of cost which is one of the biggest considerations in it, besides that support from policy makers must be needed to make guidelines in implementing framework (framework) regarding the limitations of Authentication access and interaction on a system.
Originality/value/state of the art: the method applied will focus on discussing the realm of enterprise systems, specifically discussing framework management in an effort to minimize risks to enterprise systems.
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P. Hofmann, “ERP is dead, long live ERP,” IEEE Internet Comput., vol. 12, no. 4, pp. 84–88, 2008, doi: 10.1109/MIC.2008.78.
T. Q. Ferbia, “Analisis Penggunaan Sistem ERP untuk Transformasi Proses Bisnis Studi Kasus: Supermarket Bangunan dan Furniture,” JUTIM (Jurnal Tek. Inform. Musirawas), vol. 3, no. 2, pp. 74–82, 2018, doi: 10.32767/jutim.v3i2.313.
Hankin, P., Almanei, M., & Salonitis, K. (2021). An ISM analysis of the critical success factors in ERP implementation. Paper presented at the Advances in Transdisciplinary Engineering, , 15 383-389. doi:10.3233/ATDE210066
Pekša, J. and Grabis, J. (2018). Integration of Decision-Making Components in ERP Systems. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1; ISSN 2184-4992, pages 183-189. DOI: 10.5220/0006779601830189
Russman, R.; Seymour, L. and van Belle, J. (2017). Integrating BI Information into ERP Processes - Describing Enablers. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-247-9; ISSN 2184-4992, pages 241-248. DOI: 10.5220/0006292302410248
Catherine, C., & Abdurachman, E. (2018). ERP system adoption analysis using TOE framework in permata hijau group (PHG) medan. International Journal of Enterprise Information Systems, 14(3), 91-105. doi:10.4018/IJEIS.2018070105
Tamara Babaian, Jennifer Xu & Wendy Lucas | Ken Peffers (Guest Editor), Tuure Tuunanen (Guest Editor) & Björn Niehaves (Guest Editor) (2018) ERP prototype with built-in task and process support, European Journal of Information Systems, 27:2, 189-206, DOI: 10.1057/s41303-017-0060-3
G. Gallardo, J. Hernantes and N. Serrano, "Designing SaaS for Enterprise Adoption Based on Task, Company, and Value-Chain Context," in IEEE Internet Computing, vol. 22, no. 4, pp. 37-45, Jul./Aug. 2018, doi: 10.1109/MIC.2018.043051463.
Kohli, M. (2018). Using machine learning algorithms on data residing in SAP ERP application to predict equipment failures. International Journal of Engineering and Technology(UAE), 7(2), 312–319. https://doi.org/10.14419/ijet.v7i2.28.12952
Scholtz, B. M., Kapeso, M., & de Villiers, M. R. R. (2017). The usefulness and ease of use of a mobile simulation application for learning of ERP systems. South African Computer Journal, 29(2), 87–105. https://doi.org/10.18489/sacj.v29i2.475
Fernandez, D., Zainol, Z., & Ahmad, H. (2017). The impacts of ERP systems on public sector organizations. Procedia Computer Science, 111, 31–36. https://doi.org/10.1016/j.procs.2017.06.006
Freitag, C., Berners-Lee, M., Widdicks, K., Knowles, B., Blair, G. S., & Friday, A. (2021). The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations. Patterns, 2(9), 100340. https://doi.org/10.1016/j.patter.2021.100340
Rožman, N., Diaci, J., & Corn, M. (2021). Scalable framework for blockchain-based shared manufacturing. Robotics and Computer-Integrated Manufacturing, 71, 102139. https://doi.org/10.1016/j.rcim.2021.102139
Hurni, T., Huber, T. L., & Dibbern, J. (2021). Power dynamics in software platform ecosystems. In Information Systems Journal. https://doi.org/10.1111/isj.12356
Olson, D. L., Johansson, B., & De Carvalho, R. A. (2018). Open source ERP business model framework. Robotics and Computer-Integrated Manufacturing, 50(October 2015), 30–36. https://doi.org/10.1016/j.rcim.2015.09.007
Dewi, R. S. (2019). Maturity level assessment for ERP systems investment using val IT framework. Procedia Computer Science, 161, 250–257. https://doi.org/10.1016/j.procs.2019.11.121
Krumbholz, M., Arthur, N., & Maiden, M. (2000). How culture might impact on the implementation of enterprise resource planning packages. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1789, 279–293. https://doi.org/10.1007/3-540-45140-4_19
Ssegawa, J. K., & Muzinda, M. (2021). Feasibility assessment framework (FAF): A systematic and objective approach for assessing the viability of a project. Procedia Computer Science, 181(2019), 377–385. https://doi.org/10.1016/j.procs.2021.01.180
Jayawickrama, U., Liu, S., & Hudson Smith, M. (2016). Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries. Computers in Industry, 82, 205–223. https://doi.org/10.1016/j.compind.2016.07.005
Dimitriadis, A., Ivezic, N., Kulvatunyou, B., & Mavridis, I. (2020). D4I - Digital forensics framework for reviewing and investigating cyber attacks. Array, 5(October 2019), 100015. https://doi.org/10.1016/j.array.2019.100015
Chatzoglou, P., Fragidis, L., Chatzoudes, D., & Symeonidis, S. (2016). Critical success factors for ERP implementation in SMEs. Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016, 8, 1243–1252. https://doi.org/10.15439/2016F37
Hankin, P., Almanei, M., & Salonitis, K. (2021). An ISM analysis of the critical success factors in ERP implementation. Advances in Transdisciplinary Engineering, 15, 383–389. https://doi.org/10.3233/ATDE210066
B, K. M., Nagami, T., Sugase, Y., & Takemura, A. (2017). Human-Computer Interaction. User Interface Design, Development and Multimodality. 10271, 593–608. https://doi.org/10.1007/978-3-319-58071-5
Oseni, T., Foster, S., Rahim, M., & Smith, S. P. (2017). A framework for ERP post-implementation amendments: A literature analysis. Australasian Journal of Information Systems, 21, 1–21. https://doi.org/10.3127/ajis.v21i0.1268
Ben Dhaou Dakhli, S. (2021). Architectural deviations and inconsistencies management: A framework based on information systems urbanization. Procedia Computer Science, 181(2019), 1122–1130. https://doi.org/10.1016/j.procs.2021.01.309
Fan, Z., & Guan, Y. peng. (2021). A deep learning framework for face verification without alignment. Journal of Real-Time Image Processing, 18(4), 999–1009. https://doi.org/10.1007/s11554-020-01037-z
Shrestha, M., Johansen, C., Noll, J., & Roverso, D. (2020). A Methodology for Security Classification applied to Smart Grid Infrastructures. International Journal of Critical Infrastructure Protection, 28, 100342. https://doi.org/10.1016/j.ijcip.2020.100342
Reddy, S. S. T., & Shyam, G. K. (2020). A machine learning based attack detection and mitigation using a secure SaaS framework. Journal of King Saud University - Computer and Information Sciences, xxxx. https://doi.org/10.1016/j.jksuci.2020.10.005
DOI: https://doi.org/10.31315/telematika.v19i2.6534
DOI (PDF): https://doi.org/10.31315/telematika.v19i2.6534.g4669
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Status Kunjungan Jurnal Telematika