Journal of Advance Research in Business, Management and Accounting (ISSN: 2456-3544)
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IMPACT OF FORENSIC ACCOUNTING ON FRAUD DETECTION IN NIGERIAN DEPOSIT MONEY BANKS
This study investigated the impact of forensic accounting on fraud detection in deposit money banks within Benue State, Nigeria, utilizing a cross-sectional research design. The population consisted of 145 employees from three deposit money banks operating in Makurdi Metropolis, Benue State. A census sampling technique was employed, and data were collected using a structured questionnaire validated through content and construct validity methods, achieving a Cronbach\u27s Alpha reliability coefficient of 0.872. The study employed binary logistic regression to estimate the impact of forensic accounting variables on fraud detection. The findings reveal that Engagement of Forensic Accountants (EFA) significantly enhances fraud detection, with a coefficient (B) of 1.671 (SE = 0.414), Wald statistic of 9.830 (p 0.001), and odds ratio (Exp(B)) of 3.911. This implies a 291.1 increase in the likelihood of fraud detection with the engagement of forensic accountants, underscoring their pivotal role in improving financial transparency and accountability. Conversely, Litigation Support Skills (LSA) did not show a statistically significant impact on fraud detection (B = 0.541, SE = 0.378, p = 0.152), suggesting limited effectiveness in this context. However, Forensic Investigative Professional Skills (FIS) demonstrated a significant positive impact (B = 1.203, SE = 0.406, p = 0.015), increasing the likelihood of detecting fraud by 104.4. The study recommends that banks prioritize the integration of forensic accountants into internal audit processes to bolster fraud detection capabilities effectively. Furthermore, continuous professional development in forensic investigative techniques should be emphasized to enhance staff skills and readiness in identifying and mitigating complex fraud schemes
CAPITAL STRUCTURE AND THE PERFORMANCE OF DEVELOPMENT FINANCE INSTITUTIONS IN NIGERIA
The study investigated the effect of capital structure on the performance of selected Development Finance Institutions (DFIs) in Nigeria. The study specifically examined the effect of Total Debt to Total Assets (TDTA) on performance of selected of development finance institutions in Nigeria; and ascertained the effect of Total Debt to Total Equity (TDTE) on performance of selected development finance institutions in Nigeria. The study adopted an ex-post facto research design and data were collected from published annual financial records of the selected DFIs on both TDTA and TDTE, the independent variables and Return on Assets (ROA), the dependent variable, for a period of ten (10) years (2013-2022). The population of the study composed of seven (7) national DFIs namely: Central Bank of Nigeria (CBN), Bank of Agriculture (BOA), Bank of Industry (BOI), Development Bank of Nigeria (DBN), Federal Mortgage Bank of Nigeria (FMBN), Nigeria-Export-Import Bank (NEXIM) and the Infrastructure Bank Plc (IBN). The study sampled four (4) national DFIs using a purposive sampling technique, including CBN, BOI, FMBN and NEXIM. Computation of the relevant ratios were done for the independent variables (TDTA and TDTE); and the dependent variable (ROA). Data analysis was done using multiple regression and the econometric technique of Dynamic Ordinary Least Squares (DOLS) with the aid of E-Views Version 13. The study found that TDTA has a negative but significant effect on ROA, indicating that a percentage change in TDTA leads to lower ROA by 0.071551 and TDTE has a positive effect of TDTE on ROA, showing that a percentage change in TDTE will significantly increase ROA by 0.001696. The study concluded that the investigated DFIs have low equity capital which seems to hinder their ability to attract large loans for operations. The study recommended amongst others that DFIs should maintain a balanced total debt to total assets (TDTA) and ensure the regular monitoring of the debt-to-asset ratio to ensure it remains within a healthy range which will help maintain a balance between leveraging and risk
EFFECT OF WORKING CAPITAL MANAGEMENT ON PROFITABILITY OF LISTED CONSUMER GOOD COMPANIES IN NIGERIA
This ex post facto study investigates the effect of Working Capital Management (WCM) on the profitability of 10 listed consumer goods companies in Nigeria over the period 2017-2022. Utilizing a panel data analysis framework with fixed and random effect regression, Jarque Bera statistics and Breusch-Pagan LM for assessing heteroscedasticity, the study reveals valuable insights into the relationship between WCM variables and Return on Assets (ROA). The positive and significant coefficient of 0.000617 for the Cash Conversion Cycle (CCC) suggests that a deliberate and strategic extension of the cash conversion cycle is associated with increased profitability. The study also explores the intricate relationships, revealing that fluctuations in inventory turnover, variations in accounts receivables and payables, and certain firm characteristics like size and leverage may not be robust determinants of profitability. These findings emphasize the need for tailored working capital management strategies based on specific industry characteristics and organizational contexts. The study\u27s implications underscore the importance of meticulous cash conversion cycle management for consumer goods companies seeking to optimize financial health and operational effectiveness. While inventory turnover, accounts receivables, and accounts payables are crucial components of WCM, their individual variations may not be decisive factors influencing overall financial success. This research contributes to the growing body of evidence on the intricate relationship between WCM and profitability, offering valuable insights for financial decision-makers in the consumer goods sector in Nigeria
DYNAMICS OF ROMANIA-CHINA BILATERAL TRADE: A COMPREHENSIVE OVERVIEW
This study explores the evolving bilateral trade between Romania and China from the 20th century to the present, highlighting significant growth and strategic economic cooperation despite global challenges. Initially bound by political alliances and mutual reconstruction efforts post-World War II, the relationship deepened with Romania\u27s shift to a market economy and China\u27s opening-up policy. Analysing trade data from 1992 to 2021, the research reveals an increase in trade volume, especially after 2000, with China maintaining a trade surplus. Key traded goods include machinery, electronics, textiles, and natural resources. Despite challenges, such as geopolitical considerations, the trade relationship offers opportunities for further growth and diversification. The study underscores the potential for enhanced cooperation in sectors like energy, agriculture, and technology, pointing to a promising future for bilateral economic ties between Romania and China
IMPACT DU CAPITAL PUBLIC SUR LA CROISSANCE ECONOMIQUE EN REPUBLIQUE DEMOCRATIQUE DU CONGO DE 1990 A 2023. UNE VERIFICATION EMPIRIQUE DU MODELE DE BARRO
L’objet de cette étude est de vérifier si modèle de BARRO est significatif pour la réalité de la République Démocratique du Congo. Pour se faire, nous avons utilisé des procédés économétriques dont l’estimation est faite sur les données économiques sur base d’un modèle à correction d’erreur (MCE). Les données qui sont d’usage dans cette analyse proviennent essentiellement de la base des données de la Banque Centrale du Congo (Rapports Annuels). A l’issu des analyses, il s’est remarqué que le modèle de BARRO est significatif pour la réalité de la République Démocratique du Congo. Le fait que le coefficient de détermination (R2) est différent de 0 et le prouve que le modèle est globalement significatif et se rapproche de la réalité à 86. La conclusion tirée à l’issu du test Individuel (Test de Student) fait remarquer que toutes les variables sont significatives
PRICE BEHAVIOUR ACROSS PLACE AND TIME: A CASE OF COCOYAM WHOLESALE MARKETING IN THE SOUTHEAST, NIGERIA
Market prices across time and region are one of the key determinants of efficient food marketing system.Against this background, the study seeks to investigate the behaviour of market price in a period and as cocoyam moves from one place to the other. Multistage, purposive and random sampling techniques were used to select 216 respondents for the study. A well structured questionnaire was used to collect primary data for six months (time series data). Data obtained was analyzed using descriptive statistics and Co-integration analysis. The study revealed that inter market and seasonal prices of cocoyam showed a highest marketing margin (7,500) in Anambra State followed by Enugu State (6,100) and least in Imo State (4300) during the peak period. During the lean period, the highest marketing margin of6,200 was recorded in Anambra State, followed by Imo State (5,150) and least (4200) in Enugu State. The Southeast recorded grand mean marketing margins of 21,499.67 and 19,667 during peak and lean respectively. The result of co-integration analysis revealed that wholesale prices of cocoyam in rural and urban markets of Anambra and Enugu State showed evidence of integration while poor price transmission was observed in the rural and urban markets of Imo State.A breakthrough in this study will gear towards improving price transmission which forms thebedrock for marketing efficiency of cocoyam in the area
IMPACT OF THE DIMENSIONS OF THE QUALITY OF INSTITUTIONS SUCH ON THE FLOW OF FOREIGN DIRECT INVESTMENT TO DEVELOPING ECONOMIES.
The aim of this study was to examine the effect of the dimensions of the quality of institutions such as: economic quality, political risks, the quality of the financial sector, and the quality of transportation means on the flow of foreign direct investment (FDI) to developing economies. The study was conducted in the most developed 7 economies among the developing countries. In addition, the study also made a comparison between the 7 emerging economies to identify which of them were affected by the established quality determinants for the period from 2002 to 2017. The data were analyzed using the regression model. The results of the study indicate a negative impact of the economic freedom and the quality of the financial sector on the flow of FDI. The study did not indicate the existence of a statistically significant effect to the political risks and the quality of transportation on the flow of FDI
EFFECT OF INCENTIVE SYSTEM MANAGEMENT ON EMPLOYEE PERFORMANCE OF SELECTED DEPOSIT MONEY BANKS IN CROSS RIVER STATE, NIGERIA
This study examine the effect of incentive system management on employee performance of selected deposit money banks in Cross River State, Nigeria. The study used structured questionnaires from the six selected deposit money banks in the study area. The researcher used multiple regression analysis to analyze the data obtained from the selected banks. The result of the study shows that the first variables of the study, pay-rise has a positive and significant effects on employee performance and the effect is statistically significant (p0.05). Bonus has a negative but insignificant effect on employee performance in the study area. Recognition has a positive effects on employee performance and the effect is statistically significant (p0.05) and in line with a priori expectation. The researcher concluded that incentive appeal to employees in a completely different manner. Thus, the use of appropriate incentive system is key to achieving organizational outcomes. The researcher recommends that the use of a combination of more than one reward system such as recognition and pay-rise is needed to improve employee performance in the study area
WORKING CAPITAL MANAGEMENT STRATEGIES OF NIGERIAN MANUFACTURING FIRMS AND THE EFFECTS ON CORPORATE PERFORMANCE
The study examined the working capital management strategies of Nigerian Manufacturing Firms and effect on Corporate Performance. Working capital management was decomposed into five variables being account receivable management (ARM), account payable management (APM), inventory management (INVM), cash conversion cycle (CCC) and cash conversion efficiency (CCE) which serve as the explanatory variables of the study while Corporate Performance was proxied by Return on Assets (ROA). The data for the study were collected from the Financial Statement and Annual Accounts of the selected firms covering a data panel framework of 20 years period (2000 to 2020) and nine (9) firms specifically were selected. The analysis was based on the ARDL regression technique was used to estimate the regression model while the probability values of the ARDL regression estimates were used to test the hypotheses at 0.05 level of significance. The result showed that: Account receivable management strategy have long run and no short run effect on return on asset of quoted manufacturing firms in Nigeria; Account payable management strategy have long run and no short run effect on return on asset of quoted manufacturing firms in Nigeria; Inventory management strategy have long and short run effect on return on asset of quoted manufacturing firms in Nigeria; Cash conversion cycle strategy have long and short run effect on return on asset of quoted manufacturing firms in Nigeria; and Cash conversion efficiency strategy have no long and short run effect on return on asset of quoted manufacturing firms in Nigeria. Further analysis revealed that account receivable, account payable inventory management and cash conversion efficiency had causal effects on return on assets. However, there is no causal relationship between cash conversion cycle strategy and return on asset of quoted manufacturing firms in Nigeria. The study thus concluded that working capital management strategies have significant effect on the financial performance of firms, and that the degree of effect differs by period, type of strategy and financial performance indicator. It was recommended among others that management of firms should firms increase the supplies to customers and allow credit to its customers, and firms should also explore the use of short-term credit in financing their business. The study contributed to knowledge by employing long run panel technique in investigating the working capital and firm performance nexus in Nigeria
AGRICULTURAL DECISION-MAKING CONCERNING CROP SELECTION USING ANALYTIC HIERARCHY PROCESS (AHP) IN TRAKYA REGION OF TÜRKIYE
The multitude of factors that can influence decision-making in agricultural production may have a negative impact on the outcome. Therefore, it is necessary to have access to information and a decision-making process that can facilitate the decision-making process. The Analytic Hierarchy Process (AHP) is a valuable decision-making methodology that can be applied not only in agricultural production but also in various other fields.
This research evaluates four products using the AHP method based on criteria determined by 330 producers and specialists in an area with equal irrigation opportunities for each product. The goal is to determine the most suitable products to plant in these areas. We found rice as the crop offering the highest profit levels. The AHP model employed in this study primarily serves to ascertain the significance levels of various criteria, demonstrating its effectiveness as a decision-making tool in crop selection when the right set of criteria is applied