Eghbal Rahimikia
Personal Details
First Name: | Eghbal |
Middle Name: | |
Last Name: | Rahimikia |
Suffix: | |
RePEc Short-ID: | pra905 |
| |
https://www.rahimikia.com/ | |
4.069, Alliance Manchester Business School, Booth St W, Manchester M15 6PB United Kingdom | |
Affiliation
Alliance Manchester Business School
University of Manchester
Manchester, United Kingdomhttp://www.mbs.ac.uk/
RePEc:edi:bsmanuk (more details at EDIRC)
Research output
Jump to: ArticlesArticles
- Rahimikia, Eghbal & Mohammadi, Shapour & Rahmani, Teymur & Ghazanfari, Mehdi, 2017. "Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 1-17.
Citations
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- Rahimikia, Eghbal & Mohammadi, Shapour & Rahmani, Teymur & Ghazanfari, Mehdi, 2017.
"Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran,"
International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 1-17.
Cited by:
- Jianfei Shen & Lincong Han, 2020. "RETRACTED ARTICLE: Design process optimization and profit calculation module development simulation analysis of financial accounting information system based on particle swarm optimization (PSO)," Information Systems and e-Business Management, Springer, vol. 18(4), pages 809-822, December.
- Habib Saragih, Arfah & Ali, Syaiful & Suwardi, Eko & Utomo, Hargo, 2024. "Finding the missing pieces to an optimal corporate tax savings: Information technology governance and internal information quality," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
- Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.
- Li, Jing & Li, Nan & Xia, Tongshui & Guo, Jinjin, 2023. "Textual analysis and detection of financial fraud: Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 126(C).
- Codruţa Mare & Daniela Manaţe & Gabriela-Mihaela Mureşan & Simona Laura Dragoş & Cristian Mihai Dragoş & Alexandra-Anca Purcel, 2022. "Machine Learning Models for Predicting Romanian Farmers’ Purchase of Crop Insurance," Mathematics, MDPI, vol. 10(19), pages 1-13, October.
- Ioana – Florina Coita & Laura – Camelia Filip & Eliza-Angelika Kicska, 2021. "Tax Evasion And Financial Fraud In The Current Digital Context," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 187-194, July.
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