Multinational Research Society Publisher

MRS Journal of Accounting and Business Management

Issue-2 (February), Volume-2 2025

1. Banking Innovation and Economic Growth in Nigeria
15

Dr. Iheanacho Princewill Wachu...
Department of FinanceFaculty of Administration and Management, Rivers State University, Nkpolu-Oroworukwo, Port Harcourt
1-11

This study investigates the impact of banking innovation on economic growth in Nigeria, with a particular focus on digital payment services, electronic banking services, and the Bank Verification Number (BVN) system. Despite the rapid uptake of financial technologies in Nigeria, empirical research on their impact on the economy is limited. The study seeks to address this gap by examining the relationship between various banking innovations and Nigeria's Gross Domestic Product (GDP). The research uses time series data from 2009 to 2023, analyzing variables such as Point of Sales Machine transactions (POSM), Mobile Banking App transactions (MOBA), Automated Teller Machine transactions (AUTM), Bank Verification Number registrations (BVRN), and Real Gross Domestic Product (RGDP). The methodology includes descriptive statistics, Augmented Dickey-Fuller (ADF) unit root tests, Johansen cointegration analysis, and an Error Correction Model (ECM). The findings reveal that all banking innovation variables are positively and significantly linked to economic growth, both in the short and long term. The Johansen cointegration test indicates a long-run equilibrium relationship between these variables and economic growth. The ECM results show that mobile banking has the strongest short-run impact on economic growth, followed closely by the BVN system. Additionally, POS and ATM transactions significantly contribute to GDP growth. The study concludes that banking innovation is a critical driver of Nigeria's economic growth, providing evidence for the financial innovation-led growth hypothesis in the Nigerian context. However, the relatively lower impact of POS transactions suggests that there is room for further development in this area. Based on the findings, the study recommends policies to encourage the adoption of mobile banking, strengthen the BVN system, enhance POS usage, and continue investment in ATM infrastructure. It also advocates for a supportive regulatory framework, financial literacy programs, and cross-sector collaboration to maximize the potential of banking innovations for economic growth.

2. Governance Sustainability Disclosure and Market Value of Listed Oil an...
10

Dr Amadi, Eleba Ngozi*
Department of Accounting, Faculty of Administration and Management Rivers State University, Nkpolu-Oroworukwo, Port Harcourt
12-17

This study examines the relationship between governance sustainability disclosure and the market value of listed oil and gas firms in Nigeria. Utilizing an ex post facto research design, secondary data from the financial reports of eleven oil and gas firms listed on the Nigerian Stock Exchange (NSE) between 2019 and 2023 were analyzed. The study employs the Ordinary Least Squares (OLS) regression method to determine the effect of governance sustainability disclosure on market value. Findings indicate that board remuneration and board size exhibit a positive but insignificant relationship with market value, suggesting that governance disclosures in these areas do not strongly influence firm valuation. Conversely, the audit committee demonstrates a significant negative effect on market value, implying that stringent governance oversight may be perceived as a response to governance inefficiencies, potentially eroding investor confidence. The study concludes that governance sustainability disclosures alone may not be a primary determinant of market value in the capital-intensive oil and gas sector. It recommends that firms enhance governance strategies beyond compliance to foster investor confidence and long-term financial performance

3. Artificial Intelligence and Public Sector Fraud Prevention and Detecti...
8

CHINDA, Godstime Nyema PhD* ,...
Department of Accounting, Rivers State University, Port Harcourt
18-28

This study investigates the application of Artificial Intelligence (AI) in fraud prevention and detection within public sector institutions in South-South Nigeria, grounded in theories from computer science, information systems, and organizational management. Key theories include information processing theory, bounded rationality, organizational learning, and the fraud triangle theory. A mixed-methods approach, combining qualitative and quantitative research methods, was employed to provide a comprehensive analysis. The study focused on public sector employees, auditors, fraud investigators, and IT professionals across six states: Rivers, Bayelsa, Delta, Akwa Ibom, Cross River, and Edo. A sample size of 300 respondents was determined using Krejcie and Morgan's table for sampling. Data collection involved structured questionnaires to gather quantitative data on AI awareness and its perceived effectiveness in fraud prevention and detection, and semi-structured interviews with key informants to gain qualitative insights. Descriptive and inferential statistics were used to analyze the data, including frequency distributions, mean, standard deviation, and regression analysis using SPSS. The regression analysis revealed that Data Analytics, Machine Learning, and Natural Language Processing significantly impact internal control and auditing, as well as whistleblower programs. Data Analytics showed the strongest positive relationship with internal control and auditing (B = 0.40, p < 0.001), followed by Machine Learning (B = 0.35, p = 0.004), and Natural Language Processing (B = 0.25, p = 0.024). For whistleblower programs, Machine Learning had the most substantial impact (B = 0.40, p = 0.008), followed by Data Analytics (B = 0.30, p = 0.036). The findings underscore the critical role of AI technologies in enhancing fraud prevention and detection mechanisms in the public sector. Recommendations include prioritizing AI integration, investing in data analytics, developing machine learning models, exploring NLP applications, and implementing comprehensive AI training programs.

4. Exploring the Relationship between Succession Planning and Organizatio...
8

ThankGod Okparanta*
Department of Employment Relations and Human Resources Management, Faculty of Administration and Management, Rivers State University, Nkpolu-Oroworukwo, Port Harcourt
29-36

This study examines the relationship between succession planning and organizational performance of the hospitality industry, particularly within the quick service restaurant sector in Rivers State. Employing a quasi-experimental design, the study utilizes cross-sectional survey data to provide insights into the frequency and levels of specific attributes at a given point in time. The population consists of sixteen (16) functional Quick Service Restaurants registered with the Rivers State Yellow Page Directory (2019/2020), each operational for at least fifteen years with a staff strength of twenty-five or more per outlet. A census sampling technique was employed, selecting sixty-four (64) senior managers as respondents, including general managers, human resource managers, sales managers, and operations managers. Data were collected using a structured questionnaire, divided into demographic information and Likert-scale sections measuring the study variables. Content and face validity were ensured through expert reviews, while Cronbach's alpha coefficient assessed reliability. The data were analyzed using the regression techniques of the Statistical Package for Social Sciences (SPSS) version 23.0. Findings indicate a strong positive relationship between succession planning and organizational performance, with an R-squared value of 0.813, suggesting that succession planning accounts for 81.3% of variations in organizational performance. Correlation analysis further revealed significant positive relationships between training (r=0.604), mentoring (r=0.806), career development (r=0.856), and sales growth. The combined influence of these variables accounted for 82.8% of sales growth variation. The study underscores the critical role of structured succession planning in enhancing organizational performance. Investments in training, mentoring, and career development significantly contribute to sales growth and operational efficiency.

5. CRYPTOCURRENCY AND FINANCIAL STATEMENT QUALITY OF LISTED DEPOSIT MONEY...
8

Ike, Romanus Chukwuma Ph.D*, E...
Department of Accounting, Business Administration and Economics,Faculty of Arts, Management and Social Sciences, Admiralty University of Nigeria, Ibusa, Delta State
37-48

The emergence of cryptocurrencies has disrupted traditional financial systems, creating both opportunities and challenges for financial institutions. This study examined the effects of cryptocurrency adoption on the quality of financial statements in listed Deposit Money Banks (DMBs) in Nigeria from 2018 to 2023, focusing on cryptocurrency volatility, organizational cryptocurrency exposure, and accounting information systems complexity. Using a panel EGLS (two-way random effects) regression analysis on data from 16 DMBs, the results revealed that cryptocurrency volatility had no significant effect on discretionary accruals, indicating limited influence on financial statement quality. Organizational cryptocurrency exposure significantly improved financial reporting quality by reducing earnings manipulation, highlighting the potential of blockchain technology for transparency and accountability. However, increased accounting information systems complexity was associated with higher discretionary accruals, suggesting reduced reliability in financial statements. The study recommended that policymakers should prioritize the establishment of clear and comprehensive cryptocurrency regulations. These should address valuation, recognition, and disclosure challenges, providing standardized guidelines for integrating cryptocurrencies into financial reporting.





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