Towards Sustainable ERP Systems: Emerging Trends, Challenges, and Future Pathways

• Autorzy: Alzahmi Wadhah , Al-Assaf Karam , Alshaikh Ryan , Bahroun Zied

Identyfikatory

DOI

10.2478/mspe-2025-0003

• Języki publikacji: EN

Abstrakty

EN

Sustainable Enterprise Resource Planning (S-ERP) systems are essential for integrating sustainability into business operations and improving environmental, social, and economic performance for any organization. Nevertheless, the implementation of S-ERP systems is complicated and presents multiple challenges. The purpose of this review is to fill the knowledge gap by thoroughly analyzing the current status and utilization of S-ERP systems through an in-depth examination of existing literature to identify critical factors for successful implementation and offer guidance to support organizations in aligning sustainability goals with ERP systems. Employing a qualitative narrative review methodology, this research examines literature from major academic databases and focusing on studies published between 2000 and 2024. The research identifies key factors crucial to the successful integration of S-ERP systems, such as comprehensive strategic planning, efficient data management, strong managerial commitment, interdisciplinary expertise, and a carefully structured implementation plan. These factors not only streamline the initial deployment process but also ensure the system’s flexibility to accommodate evolving sustainability goals and technological advancements. The study emphasizes the importance of a systematic approach to S-ERP adoption, with a focus on aligning with the organization’s sustainability objectives and structural context to optimize benefits while minimizing risks. This research provides actionable guidance for organizations seeking to implement S-ERP systems effectively, offering strategies to navigate both the opportunities and challenges in this rapidly evolving field. It also delivers critical insights for researchers, industry practitioners, and organizational leaders, equipping them with the knowledge needed to enhance sustainability efforts through the adoption and optimization of S-ERP systems.

Słowa kluczowe

EN

Enterprise Resource Planning; ERP; Sustainability; Sustainable Business Pro-cesses; Sustainable Information Systems

• Wydawca: STE GROUP
• Czasopismo: Management Systems in Production Engineering
• Rocznik: 2025
• Tom: nr 1 (33)
• Strony: 24--38
• Opis fizyczny: Bibliogr. 61 poz., rys., tab.

Twórcy

autor

Alzahmi Wadhah

• Department of Industrial Engineering American University of Sharjah P.O. Box 26666, Sharjah, United Arab Emirates

• https://orcid.org/0009-0008-9158-3489

autor

Al-Assaf Karam

• Department of Industrial Engineering American University of Sharjah P.O. Box 26666, Sharjah, United Arab Emirates

• https://orcid.org/0000-0001-9710-6984

autor

Alshaikh Ryan

• Department of Industrial Engineering American University of Sharjah P.O. Box 26666, Sharjah, United Arab Emirates

• https://orcid.org/0009-0008-5467-8884

autor

Bahroun Zied

• Department of Industrial Engineering American University of Sharjah P.O. Box 26666, Sharjah, United Arab Emirates

• https://orcid.org/0000-0003-2832-3672

Bibliografia

• [1] Ali, M., Miller, L. (2017) ‘ERP system implementation in large enterprises – a systematic literature review’, Journal of enterprise information management, 30(4), pp. 666–692.
• [2] Nayal, K., Raut, R.D., Yadav, V.S., Priyadarshinee, P., Narkhede, B.E. (2022) ‘The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era’, Business Strategy and the Environment, 31(3), pp. 845–859.
• [3] Hack, S., Berg, C. (2014) ‘The potential of IT for corporate sustainability’, Sustainability, 6(7), pp. 4163–4180.
• [4] Chofreh, A.G., Goni, F.A., Malik, M.N., Khan, H.H., Klemeš, J.J. (2019) ‘Evaluation of the Sustainable Enterprise Resource Planning Implementation Steps’, CET Journal-Chemical Engineering Transactions, 72.
• [5] Anjaria, K. (2024) ‘Enhancing sustainability integration in Sustainable Enterprise Resource Planning (S-ERP) system: Application of Transaction Cost Theory and case study analysis’, International Journal of Information Management Data Insights, 4(2), pp. 100243.
• [6] Chofreh, A.G., Goni, F.A., Klemeš, J.J. (2018) ‘Steps towards the implementation of sustainable enterprise resource planning systems’, Chemical Engineering Transactions, 70, pp. 283–288.
• [7] Chofreh, A.G., Goni, F.A., Klemes, J.J. (2017) ‘Development of a framework for the implementation of sustainable enterprise resource planning’, Chemical Engineering Transactions, 61, pp. 1543–1548.
• [8] Chofreh, A.G., Goni, F.A., Ismail, S., Shaharoun, A.M., Klemeš, J.J., Zeinalnezhad, M. (2016) ‘A master plan for the implementation of sustainable enterprise resource planning systems (part I): concept and methodology’, Journal of Cleaner Production, 136, pp. 176–182.
• [9] Chofreh, A.G., Goni, F.A., Shaharoun, A.M., Ismail, S., Klemeš, J.J. (2014) ‘Sustainable enterprise resource planning: imperatives and research directions’, Journal of Cleaner Production, 71, pp. 139–147 Available at: 10.1016/j.jclepro.2014.01.010.
• [10] Hart, C.A., Snaddon, D.R. (2014) ‘The organisational performance impact of ERP systems on selected companies’, South african journal of industrial engineering, 25(1), pp. 14–28.
• [11] Slaman, M., Haddara, M. (2019) ‘How green can the lettuce be? A case study on greening initiatives in supply chains and sustainable ERP systems’, Procedia Computer Science, 164, pp. 79–85.
• [12] Hietala, H., Päivärinta, T. (2021) ‘Benefits realisation in post-implementation development of ERP systems: A case study’, Procedia Computer Science, 181, pp. 419–426.
• [13] Pourdehghan, Z., Piroozfar, S. (2019) Dynamic Modeling of the Relationship Between Risks of Activities and Reduction of Activities Time in the Post-Implementation Phase of the Enterprise Resource Planning System Using Fuzzy Cognitive Maps. IEEE, pp. 195.
• [14] Venkatraman, S., Fahd, K. (2016) ‘Challenges and success factors of ERP systems in Australian SMEs’, Systems, 4(2), pp. 20.
• [15] Backer, C.R., Slaman, M., Haddara, M., Langseth, M. (2023) Towards Sustainable ERP Systems: Bridging the Gap Between Current Capabilities and Future Potential. Springer, pp. 216.
• [16] Goldston, J. (2020) ‘The Evolution of ERP Systems: A Literature Review’, International Journal of Research, 50, pp. 1–18.
• [17] Klaus, H., Rosemann, M., Gable, G.G. (2000) ‘What is ERP?’, Information Systems Frontiers, 2, pp. 141–162.
• [18] Prakash, V., Savaglio, C., Garg, L., Bawa, S., Spezzano, G. (2021) Cloud- and Edge-based ERP systems for Industrial Internet of Things and Smart Factory.
• [19] Bytniewski, A., Matouk, K., Rot, A., Hernes, M., Kozina, A. (2020) ‘Towards Industry 4.0: Functional and technological basis for ERP 4.0 Systems’, Towards Industry 4.0 – Current Challenges in Information Systems,, pp. 3–19.
• [20] Kitsantas, T. (2022) ‘Exploring blockchain technology and enterprise resource planning system: Business and technical aspects, current problems, and future perspectives’, Sustainability, 14(13), pp. 7633.
• [21] Chofreh, A.G., Goni, F.A., Klemeš, J.J. (2018) ‘Sustainable enterprise resource planning systems implementation: A framework development’, Journal of Cleaner Production, 198, pp. 1345–1354 Available at: 10.1016/j.jclepro.2018.07.096.
• [22] Chofreh, A.G., Goni, F.A., Klemeš, J.J. (2017) ‘Development of a roadmap for Sustainable Enterprise Resource Planning systems implementation (part II)’, Journal of Cleaner Production, 166, pp. 425–437.
• [23] Chofreh, A.G., Goni, F.A., Klemeš, J.J., Malik, M.N., Khan, H.H. (2020) ‘Development of guidelines for the implementation of sustainable enterprise resource planning systems’, Journal of Cleaner Production, 244, pp. 118655.
• [24] Lothary, D., Tomov, P., Dimitrov, L. (2024) Combination of an ERP system with other technological approaches to increase sustainability in discrete manufacturing. AIP Publishing.
• [25] Bhadra, S., Sanyal, M.K., Biswas, B. (2019) Cloud ERP Adoption Pitfalls and Challenges – A Fishikawa Analysis in the Context of the Global Enterprises. Springer, pp. 331.
• [26] Hewavitharana, F. and Perera, A. (2020) Sustainability via ERP and BIM integration. Springer, pp. 202.
• [27] Chofreh, A.G., Goni, F.A., Klemeš, J.J. (2018) ‘A roadmap for Sustainable Enterprise Resource Planning systems implementation (part III)’, Journal of Cleaner Production, 174, pp. 1325–1337.
• [28] Ursacescu, M., Popescu, D., State, C., Smeureanu, I. (2019) ‘Assessing the greenness of enterprise resource planning systems through green IT solutions: a Romanian perspective’, Sustainability, 11(16), pp. 4472.
• [29] Pohludka, M., Stverkova, H., Ślusarczyk, B. (2018) ‘Implementation and unification of the ERP system in a global company as a strategic decision for sustainable entrepreneurship’, Sustainability, 10(8), pp. 2916.
• [30] El Haouat, Z., Essalih, S., Bennouna, F., Ramadany, M., Amegouz, D. (2024) ‘Environmental optimization and operational efficiency: Analysing the integration of life cycle assessment (LCA) into ERP systems in Moroccan companies’, Results in Engineering, 22, pp. 102131 Available at: 10.1016/j.rineng.2024.102131.
• [31] Abobakr, M.A., Abdel-Kader, M., F. Elbayoumi, A.F. (2024) ‘An experimental investigation of the impact of sustainable ERP systems implementation on sustainability performance’, Journal of Financial Reporting and Accounting.
• [32] Gholamzadeh Chofreh, A., Goni, F., Klemeš, J. (2018) ‘Development of a Framework for Sustainable Enterprise Resource Planning Systems Implementation’, Journal of Cleaner Production, 190 Available at: 10.1016/j.jclepro.2018.04.182.
• [33] Yuzgenc, I.U., Aydemir, E. (2023) ‘Sustainable ERP Systems: A Green Perspective’, International Conference on Pioneer and Innovative Studies, 1, pp. 533–538 Available at: 10.59287/icpis.886.
• [34] Tongsuksai, S., Mathrani, S. (2020) Integrating cloud ERP systems with new technologies based on industry 4.0: A systematic literature review. IEEE, pp. 1.
• [35] Sislian, L. and Jaegler, A. (2022) ‘Linkage of blockchain to enterprise resource planning systems for improving sustainable performance’, Business Strategy and the Environment, 31(3), pp. 737–750.
• [36] Nair, S. (2023) ‘Thе Grееn Rеvolution of Cloud Computing: Harnessing Resource Sharing, Scalability, and Enеrgy-Efficiеnt Data Cеntеr Practicеs’.
• [37] Juturi, V.P.K. (2023) ‘Success Factors of Adopting Cloud Enterprise Resource Planning’, Universal Journal of Computer Sciences and Communications,, pp. 9–14.
• [38] Kushchov, O. and Dudka, O. (2023) ‘Global trends in the development of cloud solutions and technologies’, Collection of scientific papers «ΛΌГOΣ», (December 22, 2023; Boston, USA), pp. 213–217.
• [39] Yenugula, M., Sahoo, S., Goswami, S. (2024) ‘Cloud computing for sustainable development: An analysis of environmental, economic and social benefits’, Journal of future sustainability, 4(1), pp. 59–66.
• [40] Vătuiu, T., Udrică, M., Tarcă, N. (2013) ‘Cloud Computing technology-optimal solution for efficient use of Business Intelligence and Enterprise Resource Planning Applications’, J. Knowl. Manag. Econ. Inf. Technol., 2013(1), pp. 395–406.
• [41] Motalab, M.B., Shohag, S.A.M. (2011) ‘Cloud computing and the business consequences of ERP use’, International journal of computer applications, 28(8), pp. 31–37.
• [42] Tavana, M., Hajipour, V., Oveisi, S. (2020) ‘IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions’, Internet of Things, 11, pp. 100262.
• [43] Beier, G., Niehoff, S., Xue, B. (2018) ‘More sustainability in industry through industrial internet of things?’, Applied sciences, 8(2), pp. 219.
• [44] Rajamäki, J., Tuppela, P. (2020) ‘How the Data Provided by IIoT Are Utilized in Enterprise Resource Planning: A Multiple-Case Study of Three Change Projects’New Trends in the Use of Artificial Intelligence for the Industry 4.0 IntechOpen.
• [45] Javaid, M., Haleem, A., Singh, R.P., Rab, S., Suman, R. (2021) ‘Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)’, Sensors International, 2, pp. 100129.
• [46] Shekhar, A., Aleem, A. (2023) ‘Implementation of Green IoT to Achieve Sustainable Environment for Improving Energy Efficiency’, Indian Journal of Design Engineering (IJDE), 3(1), pp. 1–5.
• [47] Jawad, Z.N., Balázs, V. (2024) ‘Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review’, Beni-Suef University Journal of Basic and Applied Sciences, 13(1), pp. 4.
• [48] Akavova, A., Beguyev, S., Zaripova, R. (2023) How AI and machine learning can drive sustainable development. EDP Sciences, pp. 04018.
• [49] Zsombók, A., Zsombók, I. ‘Revolutionizing Predictive Maintenance: How AI-Driven Solutions Enhance Efficiency and Reduce Costs Across Industries’.
• [50] Salama, R., Al-Turjman, F., Altrjman, C., Gupta, R. (2023) Machine learning in sustainable development–an overview. IEEE, pp. 806.
• [51] Tirkolaee, E.B., Sadeghi, S., Mooseloo, F.M., Vandchali, H.R., Aeini, S. (2021) ‘Application of machine learning in supply chain management: a comprehensive overview of the main areas’, Mathematical problems in engineering, 2021(1), pp. 1476043.
• [52] Anozie, U.C., Obafunsho, O.E., Toromade, R.O., Adewumi, G. (2024) ‘Harnessing big data for Sustainable Supply Chain Management (SSCM): Strategies to reduce carbon footprint’, International Journal of Science and Research Archive, 12(2), pp. 1099–1104.
• [53] Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., De Felice, F. (2020) ‘Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions’, Sustainability, 12(2), pp. 492.
• [54] Mohammed, M.A., Ahmed, M.A., Hacimahmud, A.V. (2023) ‘Data-Driven Sustainability: Leveraging Big Data and Machine Learning to Build a Greener Future’, Babylonian Journal of Artificial Intelligence, 2023, pp. 17–23.
• [55] Paliwal, V., Chandra, S., Sharma, S. (2020) ‘Blockchain technology for sustainable supply chain management: A systematic literature review and a classification framework’, Sustainability, 12(18), pp. 7638.
• [56] Saberi, S., Kouhizadeh, M., Sarkis, J., Shen, L. (2019) ‘Blockchain technology and its relationships to sustainable supply chain management’, International Journal of Production Research, 57(7), pp. 2117–2135.
• [57] Varma, A., Dixit, N., Ray, S., Kaur, J. (2024) ‘Blockchain technology for sustainable supply chains: A comprehensive review and future prospects’, World Journal of Advanced Research and Reviews, 21(3), pp. 980–994.
• [58] Kumar, B.M., Suryanarayana, A. (2024) ‘Using Blockchain Technology For Sustainable Finance Reporting’, Educational Administration: Theory and Practice, 30(6), pp. 1182–1187.
• [59] Khanfar, A.A., Iranmanesh, M., Ghobakhloo, M., Senali, M.G., Fathi, M. (2021) ‘Applications of blockchain technology in sustainable manufacturing and supply chain management: A systematic review’, Sustainability, 13(14), pp. 7870.
• [60] Perera, R., Nawurunnage, K.R., Chathuranga, S., Wickramarachchi, R., Withanaarachchi, A. (2023) Role of Blockchain Technology in ERP Systems for a Transparent Supply Chain: A Systematic Review of Literature. IEEE, pp. 232.
• [61] Bakarich, K.M., Castonguay, J., O’Brien, P.E. (2020) ‘The use of blockchains to enhance sustainability reporting and assurance’, Accounting Perspectives, 19(4), pp. 389–412.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).