ENHANCING NON-FINANCIAL PERFORMANCE IN MANUFACTURING COMPANIES THROUGH THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING INFORMATION SYSTEMS

Nwankwo, S.N.P (2023) ENHANCING NON-FINANCIAL PERFORMANCE IN MANUFACTURING COMPANIES THROUGH THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING INFORMATION SYSTEMS. Advance Journal of Management, Accounting and Finance, 8 (10). pp. 43-56. ISSN 2364-4219

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Abstract

This study is on Enhancing non-financial performance in manufacturing companies through the integration of artificial intelligence in Accounting information systems. Specifically, the objectives were to determine the effect of artificial intelligence on the efficiency of accounting information systems and to ascertain the effect of artificial intelligence on non-financial performance. A simple random selection of 181 sample size of a population of 331 from registered manufacturing firms in Enugu state were used. The data were analyzed and presented in frequency and percentage tables. Regression statistical tools was used to test the hypotheses with the aid of SPSS Version 26. The results of the study revealed that artificial intelligence does have a significance effect on the efficiency of accounting information systems (F = 20.432, t = 14.520, p = .000 < 0.05.) and also that artificial intelligence does have a significance effect on non-financial performance (F = = 28.703, t = 14.520, p = .000 < 0.05). The study concluded that AI technology plays crucial roles in streamlining accounting processes and ultimately optimizing the efficiency of AIS, AI-driven insights have a profound effect on elevating non- financial metrics, thus contributing to the holistic success of organizations. It was recommended that organizations should collaborate with AI experts and software developers to tailor AI solutions that address specific accounting processes, such as data entry, reconciliation, and reporting and strategically leverage AI-driven insights to elevate their non-financial metrics.

Item Type: Article
Subjects: H Social Sciences > HG Finance
Divisions: Faculty of Management and Social Sciences
Depositing User: mrs chioma hannah
Date Deposited: 12 Jan 2024 08:18
Last Modified: 12 Jan 2024 08:18
URI: http://eprints.gouni.edu.ng/id/eprint/4222

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