Evaluating the Impact of Real-Time Data Processing in Electronic Accounting Information Systems on Financial Decision-Making
Keywords:
Real time data processing, AIS, Accounting Information Systems, Enterprise Architecture and Information SystemAbstract
This study emphasises the real-time data in electronic accounting information systems (EAIS) on how financial decision-making is being manipulated. The study looks at this issue, particularly about the data being an unnecessary information source for financial decisions. A general survey was conducted, which included a variety of companies in both technology and banking. The technology, clothing, and retail industry had a mixture of 250 respondents. This return rate was at 60%, and 150 responded to the question. Financial data processed in real-time by EAIS could be the answer to tackle this problem. The efficiency of financial decision-making was tested using partial least squares structural equation modelling (PLS-SEM), which determines whether real-time data processing by EAIS affects a firm's financial performance. A review of the investigation reveals that the real-time data processing system design in the EAIS brings to light how accuracy and expediency are the two main aspects that helped to boost the performance of the organisation. This is the hidden gem in those organisations that have well-built technology systems and strictly commit to data-driven actions. The research shows the key advantages of real-time data, but it does not concentrate on the specific technologies or configurations of EAIS that have been implemented. That would be another research phase aimed at studying the fact of deploying separate types of real-time processing technologies in EAIS on the spot. The research highlighted the necessity of real-time processing of data in the up-to-date EAIS to be prosperous or competitive with others. The study suggests that business executives and IT managers should promote and apply innovative real-time data technologies in their Enterprise Architecture and Information System (EAIS) to give the best financial results. The work is independent in a sense as it verifies the cost benefits of executing real-time data processing focusing on the EAIS outcomes. On the other hand, it renders a sound analysis of its usefulness in a lot of structural margins. Keywords – Real-time data processing, financial decision-making, electronic accounting information systems, financial performance, technology impact, structural equation modelling.
References
Alfons, A., Ateş, N. Y., & Groenen, P. J. (2022). A robust bootstrap test for mediation analysis. Organisational Research Methods, 25(3), 591-617.
Dahri, N. A., Yahaya, N., Al-Rahmi, W. M., Vighio, M. S., Alblehai, F., Soomro, R. B., & Shutaleva, A. (2024). Investigating AI-based academic support acceptance and its impact on students’ performance in Malaysian and Pakistani higher education institutions. Education and Information Technologies, 1-50.
Delgado-Licona, F., & Abolhasani, M. (2023). Research Acceleration in Self‐Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery. Advanced Intelligent Systems, 5(4), 2200331.
Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big data analytics capabilities and knowledge management: impact on firm performance. Management Decision, 57(8), 1923-1936.
Gupta, S., Drave, V. A., Dwivedi, Y. K., Baabdullah, A. M., & Ismagilova, E. (2020). Achieving superior organisational performance via big data predictive analytics: A dynamic capability view. Industrial Marketing Management, pp. 90, 581–592.
Gupta, S., Modgil, S., Lee, C.-K., & Sivarajah, U. (2023). The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry. Information Systems Frontiers, 25(3), 1179–1195.
Hamilton, A. L., Characklis, G. W., & Reed, P. M. (2022). From Stream Flows to Cash Flows: Leveraging Evolutionary Multi‐Objective Direct Policy Search to Manage Hydrologic Financial Risks. Water Resources Research, 58(1), e2021WR029747.
Imbens, G. W. (2021). Statistical significance, p-values, and the reporting of uncertainty. Journal of Economic Perspectives, 35(3), 157-174.
Ionescu, S.-A., & Diaconita, V. (2023). Transforming Financial Decision-Making: The Interplay of AI, Cloud Computing and Advanced Data Management Technologies. International Journal of Computers Communications & Control, 18(6).
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Enabling flexible manufacturing system (FMS) through the applications of industry 4.0 technologies. Internet of Things and Cyber-Physical Systems, pp. 2, 49–62.
Kock, N. (2021). Moderated mediation and J-curve emergence in path models: An information systems research perspective. Journal of Systems and Information Technology, 23(3/4), 303–321.
Liu, C. (2022). Risk prediction of digital transformation of manufacturing supply chain based on principal component analysis and backpropagation artificial neural network. Alexandria Engineering Journal, 61(1), 775–784.
Loftus, T. J., Shickel, B., Ozrazgat-Baslanti, T., Ren, Y., Glicksberg, B. S., Cao, J., Singh, K., Chan, L., Nadkarni, G. N., & Bihorac, A. (2022). Artificial intelligence-enabled decision support in nephrology. Nature Reviews Nephrology, 18(7), 452-465.
Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment. British journal of management, 30(2), 272-298.
Monteiro, A. P., Vale, J., Leite, E., Lis, M., & Kurowska-Pysz, J. (2022). The impact of information systems and non-financial information on company success. International Journal of Accounting Information Systems, 45, 100557.
Nativi, S., Mazzetti, P., & Craglia, M. (2021). Digital ecosystems for developing digital twins of the earth: The destination earth case. Remote Sensing, 13(11), 2119.
Ooi, K.-B., Lee, V.-H., Tan, G. W.-H., Hew, T.-S., & Hew, J.-J. (2018). Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93, 376-394.
Pagliarussi, M. S., & Leme, M. A. (2020). The institutionalisation of management control systems in a family firm. Qualitative Research in Accounting & Management, 17(4), 649-673.
Sandner, K., Sieber, S., Tellermann, M., & Walthes, F. (2020). A Lean Six Sigma framework for the insurance industry: insights and lessons learned from a case study. Journal of Business Economics, 90(5), 845-878.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modelling. In Handbook of market research (pp. 587-632). Springer.
Settembre-Blundo, D., González-Sánchez, R., Medina-Salgado, S., & García-Muiña, F. E. (2021). Flexibility and resilience in corporate decision making: a new sustainability-based risk management system in uncertain times. Global Journal of Flexible Systems Management, 22(Suppl 2), 107-132.
Thakkar, J. J. (2020). Structural equation modelling. Application for Research and Practice.
Wang, Y., Su, Z., Zhang, N., Xing, R., Liu, D., Luan, T. H., & Shen, X. (2022). A survey on metaverse: Fundamentals, security, and privacy. IEEE Communications Surveys & Tutorials, 25(1), 319–352.
Zhang, T., Zhou, X., & Liu, X. (2020). Reliability analysis of slopes using the improved stochastic response surface methods with multicollinearity. Engineering geology, p. 271, 105617.
Zheng, B., Pan, M., Liu, Q., Xu, X., Liu, C., Wang, X., Chu, W., Tian, S., Yuan, J., & Xu, Y. (2024). Data-driven assisted real-time optimal control strategy of submerged arc furnace via intelligent energy terminals considering large-scale renewable energy utilisation. Scientific Reports, 14(1), 5582.
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