Uddin, Nasir and Kadir, Abdul and Arafat, Md Yeasir (2025) Artificial Intelligence Adoption for Financial Reconciliation and Strategic Business Performance. Academic Journal of Digital Economics and Stability, 38 (4). ISSN 2697-2212

Text AJDES_Artificial+Intelligence+Adoption.pdf Download (805kB)

Abstract

Background: Artificial Intelligence (AI) developed into a core operational system enables companies to boost their operational performance while managing their money effectively and staying ahead of their market competitors. AI technology has not led to sufficient empirical studies investigate its impact on strategic business performance through financial reconciliation and operational productivity and process efficiency and market competitiveness in an integrated system. Methods: Data Collected through a structured questionnaire and distributed to 185 professionals worked at banking institutions and financial services and manufacturing facilities and retail businesses and other sectors across the United States. IBM SPSS Statistics software to conduct data analysis which involved descriptive statistics and reliability and convergent validity testing and Pearson correlation and multiple regression and hypothesis evaluation. Results: The measurement model presented outstanding reliability through Cronbach's alpha values which ranged between 0.891 and 0.919. Correlation analysis showed all variables had positive relationships which reached statistical significance. Strongest relationship showed up between Competitive Advantage and Strategic Business Performance through a correlation value of 0.756. The regression analysis showed that Strategic Business Performance variance at 68.4% (R² = 0.684) came from the model. Identified Artificial Intelligence Adoption as the leading element which forecasted Strategic Business Performance with a beta value of 0.436. This study data supported all six proposed hypotheses since their statistical significance achieved p = 0.001. Conclusion: Artificial Intelligence Adoption leads to better Strategic Business Performance through its ability to improve Financial Reconciliation and boost Productivity and enhance Process Efficiency and strengthen Competitive Advantage.

Item Type:	Article
Uncontrolled Keywords:	Artificial Intelligence Adoption, Financial Reconciliation, Process Efficiency, Competitive Advantage, Strategic Business Performance
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	01 Sep 2026 16:41
Last Modified:	01 Sep 2026 16:41
URI:	http://eprints.umsida.ac.id/id/eprint/17029

Actions (login required)

View Item