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RETRACTED ARTICLE: Design process optimization and profit calculation module development simulation analysis of financial accounting information system based on particle swarm optimization (PSO)

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  • Jianfei Shen

    (North China Electric Power University)

  • Lincong Han

    (North China Electric Power University)

Abstract

The rapid development of information technology and the tremendous changes of management ideas and management methods promote the continuous updating of management financial accounting system. The advantages of accounting information system are based on abundant data sources, timely business processing and fast transmission and reflection of all-round faithfulness. Based on the influence of information technology, this paper studies the related theories of process optimization and profit calculation module of financial accounting information system reconstruction by particle swarm optimization algorithm. The various data interfaces are gradually unified to better realize the sharing of information. The research shows that the particle swarm algorithm is used to compare the core functions of accounting information system (such as accounting, certificate filling, voucher review, voucher query, detailed ledger, general ledger, end-of-year carry-over, financial analysis, etc.). Calculation. Research shows that reorganizing accounting business processes can greatly improve the usefulness of accounting information decision-making, thereby enhancing the competitiveness of enterprises.

Suggested Citation

  • 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 "RETRACTED ARTICLE: Design process optimization and profit calculation module development simulation analysis of financial accounting information system based on particle swarm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.
  • Handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-018-00398-0
    DOI: 10.1007/s10257-018-00398-0
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    References listed on IDEAS

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    1. 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.
    2. Mia Kaspersen & Thomas Riise Johansen, 2016. "Changing Social and Environmental Reporting Systems," Journal of Business Ethics, Springer, vol. 135(4), pages 731-749, June.
    3. Taipaleenmäki, Jani & Ikäheimo, Seppo, 2013. "On the convergence of management accounting and financial accounting – the role of information technology in accounting change," International Journal of Accounting Information Systems, Elsevier, vol. 14(4), pages 321-348.
    4. Alnoor Bhimani & Mohamed Azzim Gulamhussen & Samuel da Rocha Lopes, 2013. "The Role of Financial, Macroeconomic, and Non-financial Information in Bank Loan Default Timing Prediction," European Accounting Review, Taylor & Francis Journals, vol. 22(4), pages 739-763, December.
    5. Brown, Rhoda & Jones, Michael, 2015. "Mapping and exploring the topography of contemporary financial accounting research," The British Accounting Review, Elsevier, vol. 47(3), pages 237-261.
    6. Crawley, Michael & Wahlen, James, 2014. "Analytics in empirical/archival financial accounting research," Business Horizons, Elsevier, vol. 57(5), pages 583-593.
    7. Kwangwuk Oh & Wooseok Choi & Seok Woo Jeong & Jinhan Pae, 2014. "The effect of different levels of internal control over financial reporting regulation on the quality of accounting information: evidence from Korea," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(4), pages 412-442, December.
    8. Anja de Waegenaere & Richard Sansing & Jacco L. Wielhouwer, 2015. "Financial Accounting Effects of Tax Aggressiveness: Contracting and Measurement," Contemporary Accounting Research, John Wiley & Sons, vol. 32(1), pages 223-242, March.
    9. Teittinen, Henri & Pellinen, Jukka & Järvenpää, Marko, 2013. "ERP in action — Challenges and benefits for management control in SME context," International Journal of Accounting Information Systems, Elsevier, vol. 14(4), pages 278-296.
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    2. Hussain, Jafar & Lee, Chien-Chiang & Chen, Yongxiu, 2022. "Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

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