Artificial Intelligence Perspective Framework of the Smart Finance and Accounting Management Model

Authors

  • Ahmad Y. A. Bani Ahmad Department of Accounting and Finance Science, Faculty of Business, Middle East University, Amman 11831, Jordan, 8788
  • Anil Tiwari Assistant Professor, Department of Management and Commerce, RNB Global University Bikaner, Rajasthan
  • M. A. Nayeem Assistant Professor, Institute of Public Enterprise Hyderabad, Telangana
  • Biplab Kumar Biswal Professor, KIIT School of Social Financial and Human Sciences, KIIT University, Bhubaneswar
  • Debi Prasad Satapathy Assistant Professor, Symbiosis Centre for Management Studies, Nagpur Campus, Symbosis International (Deemed University), Pune
  • Kushagra Kulshreshtha Professor, Institute of Business Management, GLA University, Mathura
  • Dibyhash Bordoloi Associate Professor, Department of Computer Science & Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand

Keywords:

Artificial Intelligence, HVF, Accounting, Finance, EDF

Abstract

The consolidation of assets, the formation of industry alliances, and the merging of companies operating in different industries have all contributed to the introduction of cutting-edge business management systems and the formation of substantial enterprise groupings. The primary purpose of this study is to investigate, from the vantage point of AI, the steps involved in the development of an intelligent accounting management model architecture. The accounting sharing center of the platform, which provides services related to accounting sharing, is completely separate from the logistics department of any given location. The results of the experiments show that using this strategy, as opposed to the more traditional EDF, has the potential to greatly improve real-time system performance (Earliest Deadline First). Both the HVF (Highest Value First) and HVDF (Highest Value Density First) algorithms are used in every kind of workload situation. The accounting sharing center provides a variety of services to the branches of the logistics company. Some of these services include uniform and standard accounting, asset management, and currency revenue and expenditure. The pace of decrease is much more gradual when compared to both the EDF and HVF algorithms. The EDF (earliest deadline first) and HVF (highest value first) algorithms both experience a considerable slowdown in their pace of completion as the load increases. The common platform for financial management and accounting procedures does not function in a way that is closed in a single direction. One organization is in charge of each individual division.

Downloads

Download data is not yet available.

References

Q. Gong, J. Y. Lin, and Y. Zhang, “Financial structure, industrial structure, and economic development: a new structural economics perspective,” 5e Manchester School, vol. 87, no. 2, pp. 183–204, 2019.

D. Chakrabarti, P. Sethi, and S. Bhattacharjee, “Directed credit, financial development and financial structure: theory and evidence,” Applied Economics, vol. 51, no. 16-18, pp. 1711–1729, 2019.

C. A. C. Ansca, K. A. Suyapto, K. A. Suyapto, T. Pranoto, and V. P. Gunawan, “(e effect of capital structure and financial structure on firm performance (an empirical study of the financial crisis 2008 and 2009 in Indonesia),” Journal Akuntansi dan Keuangan Indonesia, vol. 16, no. 2, pp. 206– 223, 2019.

G. Santos and S. P. O. Camilo, “Financial innovation solutions from blockchain technology in the perception of financial market agents,” International Journal for Innovation Education and Research, vol. 7, no. 12, pp. 677–695, 2019.

M. Perc, M. Ozer, and J. Hojnik, “Correction: social and juristic challenges of artificial intelligence,” Palgrave Communications, vol. 5, no. 1, pp. 1–7, 2019.

SVETLIK, I., STAVROU‐COSTEA, E. & LIN, H. F. 2007. Knowledge sharing and firm innovation capability: an empirical study. International Journal of manpower.

TALEGHANI, G., TANAOMI, M., FARHANGI, A. & ZARRINNEGAR, M. 2011. Factors affecting the increase in efficiency. Quarterly Journal of Public Management, 7, 130-115.

THOM-SANTELLI, J., MILLEN, D. R. & GERGLE, D. Organizational acculturation and social networking. Proceedings of the ACM 2011 conference on Computer supported cooperative work, 2011. 313-316.

RAMÍREZ, Y. W. & NEMBHARD, D. A. 2004. Measuring knowledge worker productivity. Journal of intellectual capital.

SHUJAHAT, M., SOUSA, M. J., HUSSAIN, S., NAWAZ, F., WANG, M. & UMER, M. 2019. Translating the impact of knowledge management processes into knowledge-based innovation: The neglected and mediating role of knowledge-worker productivity. Journal of Business Research, 94, 442-450.

Max, R., Kriebitz, A., & Von Websky, C. (2021). Ethical considerations about the implications of artificial intelligence in finance. Handbook on Ethics in Finance, 577- 592. https://link.springer.com/referenceworkentry/10.1007%2F978-3-030-29371- 0_21

Mhlanga, D. (2020). Industry 4.0 in finance: The impact of artificial intelligence (ai) on digital financial inclusion. International Journal of Financial Studies, 8(3), 45. https://www.mdpi.com/2227-7072/8/3/45

Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7),739-756. https://www.tandfonline.com/doi/abs/10.1080/19368623.2020.1722304

Rashmi, R., & Nirmal Raj, V. K. (2021). A study on the implementation and the impact of artificial intelligence in banking processes. Asian Journal of Management, 12(1), 47- 54.

Wall, L. D. (2018). Some financial regulatory implications of artificial intelligence. Journal of Economics and Business, 100, 55-63.

Enterprise Document”, IEEE International Conference, by Na Liu, vol. 30, pp. 344-360, 2011. Neha Sharma, P. William, Kushagra Kulshreshtha, Gunjan Sharma, Bhadrappa Haralayya, Yogesh Chauhan, Anurag Shrivastava, “Human Resource Management Model with ICT Architecture: Solution of Management & Understanding of Psychology of Human Resources and Corporate Social Responsibility”, JRTDD, vol. 6, no. 9s(2), pp. 219–230, Aug. 2023.

William, P., Shrivastava, A., Chauhan, P.S., Raja, M., Ojha, S.B., Kumar, K. (2023). Natural Language Processing Implementation for Sentiment Analysis on Tweets. In: Marriwala, N., Tripathi, C., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 588. Springer, Singapore. https://doi.org/10.1007/978-981-19-7982-8_26

K. Maheswari, P. William, Gunjan Sharma, Firas Tayseer Mohammad Ayasrah, Ahmad Y. A. Bani Ahmad, Gowtham Ramkumar, Anurag Shrivastava, “Enterprise Human Resource Management Model by Artificial Intelligence to Get Befitted in Psychology of Consumers Towards Digital Technology”, JRTDD, vol. 6, no. 10s(2), pp. 209–220, Sep. 2023.

Kumar, A., More, C., Shinde, N. K., Muralidhar, N. V., Shrivastava, A., Reddy, C. V. K., & William, P. (2023). Distributed Electromagnetic Radiation Based Sree Lakshmi, P., Deepak, A., Muthuvel, S.K., Amarnatha Sarma, C Design and Analysis of Stepped Impedance Feed Elliptical PatchAntenna Smart Innovation, Systems and Technologies, 2023, 334, pp. 63

Gupta, A., Mazumdar, B.D., Mishra, M., ...Srivastava, S., Deepak, A., Role of cloud computing in management and education, Materials Today: Renewable Energy Assessment Using Novel Ensembling Approach. Journal of Nano-and Electronic Physics, 15(4).

William, P., Shrivastava, A., Shunmuga Karpagam, N., Mohanaprakash, T.A., Tongkachok, K., Kumar, K. (2023). Crime Analysis Using Computer Vision Approach with Machine Learning. In: Marriwala, N., Tripathi, C., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 588. Springer, Singapore. https://doi.org/10.1007/978-981-19-7982-8_25

Kshirsagar, P. R., Yadav, R. K., Patil, N. N., & Makarand L, M. (2022). Intrusion Detection System Attack Detection and Classification Model with Feed-Forward LSTM Gate in Conventional Dataset. Machine Learning Applications in Engineering Education and Management, 2(1), 20–29. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/21

Ms. Ritika Dhabalia, Ms. Kritika Dhabalia. (2012). An Intelligent Auto-Tracking Vehicle. International Journal of New Practices in Management and Engineering, 1(02), 08 - 13. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/5

Downloads

Published

10.11.2023

How to Cite

Bani Ahmad, A. Y. A. ., Tiwari, A. ., Nayeem, M. A. ., Biswal, B. K. ., Satapathy, D. P. ., Kulshreshtha, K. ., & Bordoloi, D. . (2023). Artificial Intelligence Perspective Framework of the Smart Finance and Accounting Management Model. International Journal of Intelligent Systems and Applications in Engineering, 12(4s), 586 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3839

Issue

Vol. 12 No. 4s (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.

Most read articles by the same author(s)