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All issues Volume 692 (2026) E3S Web Conf., 692 (2026) 03012 References
Open Access
Issue
E3S Web Conf.
Volume 692, 2026
3rd International Conference on Intelligent and Sustainable Power and Energy Systems (ISPES 2025)
Article Number 03012
Number of page(s) 13
Section Artificial Intelligence and Human-Computer Interaction
DOI https://doi.org/10.1051/e3sconf/202669203012
Published online 04 February 2026
  1. A. Gessa, A. Jiménez, P. Sancha, Exploring ERP systems adoption in challenging times. Insights of SMEs stories. Technol. Forecast. Soc. Change 195, 122795 (2023). https://doi.org/10.1016/j.techfore.2023.122795. [Google Scholar]
  2. J. Zhang, S. Zhou, F. Ma, Can the implementation of enterprise resource planning systems reduce equity financing cost of enterprises? Finance Res. Lett. 84, 107782 (2025). https://doi.org/10.1016/j.frl.2025.107782. [Google Scholar]
  3. L. Anaya, F. Qutaishat, ERP systems drive businesses towards growth and sustainability. Procedia Comput. Sci. 204, 854–861 (2022). https://doi.org/10.1016/j.procs.2022.08.103. [Google Scholar]
  4. Y. Xie, C. Allen, M. Ali, Critical success factor based resource allocation in ERP implementation: A nonlinear programming model. Heliyon 8(8), e10044 (2022). https://doi.org/10.1016/j.heliyon.2022.e10044. [Google Scholar]
  5. M. Zakarya, S. A. Gaber, E. Yehia, A comprehensive study of critical success factors for the implementation of enterprise resource planning systems. Int. J. Comput. Appl. 185(47), (2023). 10.5120/ijca2023923281. [Google Scholar]
  6. A. Abu Madi, R.M. Ayoubi, M. Alzbaidi, Spotting the critical success factors of enterprise resource planning implementation in the context of public higher education sector. Int. J. Public Adm. 47(4), 1–17 (2022). https://doi.org/10.1080/01900692.2022.2085300. [Google Scholar]
  7. S. Sternad Zabukovšek, P. Tominc, Z. Deželak, G. Nalbandyan, S. Bobek, Acceptance of GIS within ERP system: Research study in higher education. ISPRS Int. J. Geo-Inf. 11, 83 (2022). https://doi.org/10.3390/ijgi11020083. [Google Scholar]
  8. M. Nakayama, E. Hustad, N. Sutcliffe, M. Beckfield, Organic transformation of ERP documentation practices: Moving from archival records to dialogue-based, agile throwaway documents. Int. J. Inf. Manag. 74, 102717 (2024). https://doi.org/10.1016/j.ijinfomgt.2023.102717. [Google Scholar]
  9. J. Yu, H. Oh, M. Kim, S. Jung, Unusual insider behavior detection framework on enterprise resource planning systems using adversarial recurrent autoencoder. IEEE Trans. Ind. Inf. 18(3), 1541–1551 (2022). https://doi.org/10.1109/TII.2021.3090362. [Google Scholar]
  10. X. Zhao, W. Lu, B. Liu, How to foster project citizenship behavior in construction industry: Organizational culture matters. IEEE Trans. Eng. Manag. 71, 4308–4321 (2024). 10.1109/TEM.2023.3243309. [Google Scholar]
  11. R. Ma, T. Yu, X. Zhong, Z.L. Yu, Y. Li, Z. Gu, Capsule network for ERP detection in brain–computer interface. IEEE Trans. Neural Syst. Rehabil. Eng. 29, 718–730 (2021). 10.1109/TNSRE.2021.3070327. [Google Scholar]
  12. P.P. Deb, D. Bhattacharya, I. Chatterjee, A. Saha, A.R. Mishra, S.H. Ahammad, A decision-making model with intuitionistic fuzzy information for selection of enterprise resource planning systems. IEEE Trans. Eng. Manag. 71, 4820–4834 (2024). 10.1109/TEM.2022.3215608. [Google Scholar]
  13. H. Kubba, Data conversion in ERP SaaS implementation with generative AI. IEEE Eng. Manag. Rev. 52(6), 15–18 (2024). 10.1109/EMR.2024.3452682. [Google Scholar]
  14. B. Jeyaprabha, S.R. Kumar, R.L. Bolla, A.S. Bhatt, R.J. Sera, K. Arora, Data-driven decision making in management: Leveraging big data analytics for strategic planning. In: Proc. 1st Int. Conf. Adv. Comput. Sci. Electr. Electron. Commun. Technol. (CE2CT), Bhimtal, Nainital, India, 1000–1003 (2025). 10.1109/CE2CT64011.2025.10939548. [Google Scholar]
  15. K.C. Hong, A.S. Bin Shibghatullah, Decoding ERP training for non-technical users: A novel algorithm-driven framework for enhanced training effectiveness. In: Proc. IEEE 9th Int. Conf. Converg. Technol. (I2CT), Pune, India, 1–5 (2024). 10.1109/I2CT61223.2024.10543713. [Google Scholar]

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