Accounting

Permanent URI for this collectionhttps://dspace.summituniversity.edu.ng/handle/123456789/26

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Subject: search.filters.subject.Artificial Intelligence

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    ENHANCING EFFICIENCY OF ACCOUNTING INFORMATION SYSTEM AND NON-FINANCIAL PERFORMANCE IN THE AGRO-ALLIED COMPANIES IN NIGERIA USING AI.
    (2024) AKANNI MUHAMMED TOHA OLATUNBOSUN
    In this study, we assessed the effectiveness of nonfinancial performance measures and Accounting Information System (AIS) in Agro-allied Industries in Nigeria using Artificial Intelligence (AI). The efficiency of accounting information systems in tracking accounting Operations in the performance of Agro-allied enterprises has not been thoroughly demonstrated Since the debut of these systems. Thus, the goal of this study is to investigate the effects of Accounting Information System (AIS) on the Agro-allied companies and non-financial and Financial performance in Nigeria. An emerging technology in agriculture is artificial intelligence. In reality, tools and equipment Powered by artificial intelligence have raised the bar for the agriculture industry. This innovative Technology has enhanced instantaneous monitoring, processing, and collection as well as crop productivity. The most current computerized structures that use drones and remote sensing have significantly improved the Agro-based sector. Furthermore, through providing cyclic data on yield status during study periods at varied degrees and for diverse characteristics, remote sensing has the potential to promote the development of farming technologies aimed at overcoming this primary challenge. Different computer-supported, high-tech structures are developed to identify various central factors, including crop quality, yield recognition, plant detection, and several other techniques. This paper presents the methods used to analyze the data gathered in order to increase output, anticipate potential risks, and lighten the work load for growers.
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    ANALYZING THE CAPITAL STRUCTURE EFFECT IN FINANCIAL STABILITY OF FIRMS IN COSUMER GOODS SECTORS USING ARTIFICIAL INTELLIGENCE
    (2023) AJADI MARYAM OMOLOLA
    Artificial intelligence (AI) is the capacity of a machine to display traits similar to those possessed by humans. This study has examined the capital structure effect on the financial stability of firms classified under consumer goods of the Nigerian exchange group. Secondary data based on extracts from annual report and accounts of selected consumer goods firms listed on the Nigeria exchange group market have been used in this study. Multiple regression method will be employed to analyse the relationships between the dependent and independent variables. The model will be estimated using E-view packages (version 7.0). (i) to figure out how debt-to-equity ratio and return on assets for consumer goods companies relate to one another, and (ii) to figure out how interest coverage affects return on assets for consumer goods companies (iii) the debt-to-equity ratio and the return on assets of companies that produce consumer items do not significantly correlate and (iv) In Nigeria, interest coverage has no appreciable impact on how well businesses function in the consumer products market. Additionally, in agreement with numerous empirical research on capital. This analysis supports the a priori association between leverage and company performance in a sample of Nigerian companies. Leverage is said to have a favourable effect on a company's performance, but the degree to which it does so depends on the return on assets (ROA) and liquidity of the companies. Findings from the analysis will reveal if capital structure has significant impact on financial performance of consumer goods firms in Nigeria. This study will also give recommendations for both government and firms in order to increase firm's performance level.
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    ENHANCING EFFICIENCY OF ACCOUNTING INFORMATION SYSTEM AND NON-FINANCIAL PERFORMANCE IN THE AGRO-ALLIED COMPANIES IN NIGERIA USING AI.
    (2024) AKANNI MUHAMMED TOHA OLATUNBOSUN
    In this study, we assessed the effectiveness of nonfinancial performance measures and Accounting Information System (AIS) in Agro-allied Industries in Nigeria using Artificial Intelligence (AI). The efficiency of accounting information systems in tracking accounting Operations in the performance of Agro-allied enterprises has not been thoroughly demonstrated Since the debut of these systems. Thus, the goal of this study is to investigate the effects of Accounting Information System (AIS) on the Agro-allied companies and non-financial and Financial performance in Nigeria. An emerging technology in agriculture is artificial intelligence. In reality, tools and equipment Powered by artificial intelligence have raised the bar for the agriculture industry. This innovative Technology has enhanced instantaneous monitoring, processing, and collection as well as crop productivity. The most current computerized structures that use drones and remote sensing have significantly improved the Agro-based sector. Furthermore, through providing cyclic data on yield status during study periods at varied degrees and for diverse characteristics, remote sensing has the potential to promote the development of farming technologies aimed at overcoming this primary challenge. Different computer-supported, high-tech structures are developed to identify various central factors, including crop quality, yield recognition, plant detection, and several other techniques. This paper presents the methods used to analyse the data gathered in order to increase output, anticipate potential risks, and lighten the work load for growers.