TECHNOLOGICAL ASPECTS OF ACCOUNTING AUTOMATION SYSTEM AS A DECISION SUPPORT SYSTEM
DOI:
https://doi.org/10.17770/etr2023vol2.7309Keywords:
accounting automation system, decision support system, information technologies, system structureAbstract
Nowadays all businesses need access to an extensive pool of information. Reporting, financial and accounting analysis, financial planning and budgeting are key factors for market-oriented corporate management and successful business. In the digital economy, strong competition, responsible entrepreneurship and corporate social responsibility the business feels a need for revolution and new decision sciences for complex systems that collect big data, analyze it and create reports that can be used by managers for decision-making. The present study aims to prove that the accounting automation system is an important tool for managing the economic activity of companies, because it mediates the interrelationships between managers/decision-makers, or subjects of management, economic activity and its results, or object of management, in support of Business intelligence, or BI, Data and Analysis, Power Platform, etc. The following research tasks have to be settled for reaching the above-mentioned goal: 1. to analyze the components of decision support systems; 2. to research the types of decision support systems; 3. to demonstrate the impact of the accounting automation system as a decision support system on the optimization and improvement of the working processes and making adequate timely management decisions; 4. to analyze the technological aspects of accounting automation system as a decision support system; 5. to research the challenges and solutions regarding ERP systems and SAP. In the course of the study shall be justified the thesis that the successful business is based on true, accurate and reliable information which is mostly generated by automated accounting system as a decision support system and contemporary information technologies. The results of the research are expressed in establishing the way to ensure and guarantee the unification, acceleration and optimization of the input-processing-output process, analysis, financial modelling, financial planning, etc. about decision support and respectively wealth management.
Downloads
References
M. Volik and M. Kovaleva, "Features of automation of business processes of interaction with customers," in Proceedings of the International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2020, October 22-23, 2020, Saint-Petersburg, Russia. New York: Association for Computing Machinery, 2020. Available: https://dl.acm.org/doi/10.1145/3444465.3447061 [Accessed: Mar. 17, 2023]. https://doi.org/10.1145/3444465.3447061
B. Mraović, "Relevance of data mining for accounting: Social implications," Social Responsibility Journal, vol. 4, no. 4, pp. 439-455, Oct. 2008.
P. E. Shumilin, N. P. Rudnenko, A. S. Petrenko, M. S. Buryak and V. E. Shumilina, "Accounting and analytical indicators of a decision support system at service industry enterprises," in Lecture Notes in Networks and Systems: Current Problems and Ways of Industry Development: Equipment and Technologies. Lecture Notes in Networks and Systems, Vol. 200, O. G. Shakirova, O. V. Bashkov and A. A. Khusainov, Eds. Cham: Springer, 2021, pp. 856-863. Available: https://link.springer.com/chapter/10.1007/978-3-030-69421-0_94 [Accessed: Mar. 17, 2023]. https://doi.org/10.1007/978-3-030-69421-0_94
J. A. Hall, Accounting Information Systems. South-Western Cengage Learning, 2011, pp. 801.
M. J. Cerullo, V. Raval, J. W. Wilkinson, and B. Wong-On-Wing, Accounting Information Systems: Essential Concepts and Applications. Hoboken, NJ: Wiley, 1999.
G. Tsoncheva, "Izsledvane kachestvoto na schetovodnata informatsiya i izgrazhdane na visokokachestvena schetovodna informacionna sistema," Biznes Posoki, vol. 2, pp. 138-160, 2018.
N. Grozeva, "Novi kontseptualni iziskvaniya kum kachestvoto na informatsiyata na finansovite otcheti," Schetovodna politika, vol. 9-10, pp. 28-39, 2012.
F. Filipova, "Kachestvo na informatsiyata vuv finansovite otcheti," IDES, vol.8, pp. 28-47, 2010.
N. Nenov, "Industry 4.0–Advantages and Challenges in the Republic of Bulgaria," in Proceedings of the 13-th International Scientific and Practical Conference, Rezekne Academy of Technologies, June 17-18, 2021, Rezekne, Latvia. Rezekne Academy of Technologies, 2021. https://doi.org/10.17770/etr2021vol1.6511
D. Petrova, "Intelligent, Innovative and Sustainable Industry in Bulgaria – Prospekts and Challenges," in Proceedings of the 12-th International Scientific and Practical Conference, Rezekne Academy of Technologies, June 20-22, 2019, Rezekne, Latvia. Rezekne Academy of Technologies, 2019. http://dx.doi.org/10.17770/etr2019vol1.4188
A. Deneva and R. Aslanzade, "Features of formation of the mechanism of management of socially responsible companies in the supply chain," in Proceedings of the International scientific and practical conference "Sustainable Development and SocioEconomic Cohesion in the 21st Century: Trends and Challenges", D. A. Tsenov Academy of Economics, November 8-9, 2021, vol. II, Svishtov, Bulgaria. D. A. Tsenov Academy of Economics, 2021. https://dlib.uni-svishtov.bg/handle/10610/4505?show=full [Accessed: Mar. 23, 2023]
M. Chipriyanov, "Procedurni aspekti na upravlenie na dostavkite chrez sistemata ERP," in Proceedings of the Mezhdunarodna nauchna conferenciya "Sistemi za upravlenie na biznesa v malki I sredni predpriiyatiiya", D. A. Tsenov Academy of Economics, April 23-24, 2010, Svishtov, Bulgaria. D. A. Tsenov Academy of Economics, 2010.
Zakon za schetovodstvoto. [Online]. Available: https://lex.bg/laws/ldoc/2136697598. [Accessed: Apr. 11, 2023].
Zakon za elektronniiya dokument i elektronnite udostoveritelni uslugi. [Online]. Available: https://lex.bg/laws/ldoc/2135180800. [Accessed: Apr. 11, 2023].
Digital transformation of Bulgaria for the period 2020-2030. [Online]. Available: https://egov.government.bg/wps/wcm/connect/egov.government.bg-2818/12cc790a-5c7a-4e3f-99f2-4bdc0bf3afe1/digitaltransformationofbulgariafortheperiod2020-2030f.pdf?MOD=AJPERES&CVID=oocXMfO. [Accessed: Apr. 11, 2023].
Nacionalna programa Tcifrova Bulgaria 2025. [Online]. Available: https://www.mtc.government.bg/sites/default/files/uploads/it/09-12-2019_programa_-cifrova_bulgariya_2025.pdf. [Accessed: Apr. 11, 2023].
Nacionalen plan za vuzstanoviyavane i ustoichivost. [Online]. Available: https://nextgeneration.bg/14. [Accessed: Apr. 11, 2023].
X. Ma, X. Hu and G. Li, "Research on Application of Data Mining Technology in Financial Decision Support System," in Proceedings of the 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, November 26-28, 2010, Kunming, China. IEEE, 2010. Available: https://ieeexplore.ieee.org/document/5694927 [Accessed: Mar. 19, 2023]. https://doi.org/10.1109/ICIII.2010.572
D. Li, D. Wu and L. Yu, "Graph-based model manipulation in management accounting DSS," in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, October 14-17, 1996, Beijing, China. IEEE, 1996.
Z. Chai and H. Jiang, "A brief review on decision support systems and it's applications," in Proceedings of the 2011 IEEE International Symposium on IT in Medicine and Education, December 9-11, 2011, Kunming, China. IEEE, 2011. https://doi.org/10.1109/ITiME.2011.6132134
J. Kacprzyk and S. Zadrozny, "Towards a synergistic combination of web-based and data-driven decision support systems via linguistic data summaries," in Lecture Notes in Computer Science, Vol. 3528, Advances in Web Intelligence,
AWIC 2005, P.S. Szczepaniak, J. Kacprzyk and A. Niewiadomski, Eds. Berlin, Heidelberg: Springer, 2005, pp. 211-217. https://doi.org/10.1007/11495772_33
K. Erwin, "Relationship Management Accounting and development of information technology," in IOP Conference Series: Materials Science and Engineering, Vol. 648. IOP Publishing Ltd, 2019, pp. 1-5. Available: https://iopscience.iop.org/article/10.1088/1757-899X/648/1/012033/meta [Accessed: Mar. 16, 2023]. https://doi.org/10.1088/1757-899X/648/1/012033
L. Ionescu, "Big Data Processing Techniques and Algorithmic Decision-Making Tools in Cloud-based Accounting Information Systems," Rev. of Cont. Phil., vol. 21, pp. 256-271, Aug. 2022.
