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Increase in losses borne by banks as a result of inadequate operational risk management practices and the adverse impact on banks’ financial performance has been a major concern to bank management and regulators. This study analysed the impact of operational risk management practices on the financial performance of commercial banks in Nigeria. 10-years (2008 - 2017) secondary data extracted from audited financial statements of selected commercial banks in Nigeria was used for the study. The data was analysed using the Linear Multiple Regression Model. The results showed that there is a positive relationship between operational risk management and the financial performance of banks. The findings revealed that sound operational risk management practices impact positively on the financial performance of banks. We, therefore, recommend that banks’ management should deploy adequate resources towards understanding operational risk to ensure sound operational risk management and improved financial performance of banks.

Commercial banks accept deposits and lend money for investment and consumption. This study used five (5) first-tier banks in Nigeria as a case study to analyze the effects of credit risk management on the financial performance of commercial banks. The study examined fifteen (15) years' worth of panel data (from 2005 to 2019), taken from the audited financial reports of five first-tier listed banks. Deposit Money Banks (DMBs) are the only banks used, and they are all listed on the Nigerian Stock Exchange. Non-performing loans (NPL) and expected credit loss impairment provisions (ECL) were utilized in this study as indicators of credit risk management. At the same time, return on assets (ROA) was employed to measure financial performance.

For any organization to compete favourably in the competitive society, employees’ attitudes and commitment towards work goes a long way in determining the employees’ performance and organization productivity. The main objective of this study is to examine the effect of incentives packages on employees’ attitudes towards work. A descriptive research method was adopted for this study using one hundred twenty valid questionnaires which were completed by members of staff of four (4) selected government parastartals in Ogun State, South-West Nigeria using stratified and systematic sampling technique. The data collected were carefully analyzed using percentage supported by standard deviation to represent the raw data in a meaningful manner. The results show that strong relationship exists between incentives packages and employees’ attitudes towards work and the workers are not satisfied with the present incentives packages. The summary of the findings indicates that there is strong correlation between the tested dependent variable and independent construct. However, employers of labour and decision makers should endeavour to review incentives packages at various levels in order to earn employees’ commitment and satisfaction.

The proliferation of technology has innovated new ways of saving and investing money: online savings and investment platforms [OSIPs]. Predicting the intention to adopt Fintech has triggered the interest of many researchers in academia and industries. The primary objective of this study was to examine factors influencing the intention to adopt OSIPs in Nigeria by using data gathered from 640 digitally active citizens from selected cities in Nigeria. Reliability and validity tests were conducted through construct reliability and discriminant validity, respectively, through WarpPLS. Data were computed with the Statistical Package for the Social Sciences (version) 24 and analyzed with structural equation modeling via WarpPLS. The findings of this study showed that performance expectancy, effort expectancy, and social influence significantly affect attitude while facilitating conditions predict intention to adopt. It was also found that attitude significantly influences the intention to adopt OSIPs. The paper also discusses the study’s research limitations and presents implications for theory and practice.

The study evaluates the effect of reverse logistics operational responsiveness on customer satisfaction in retailing. Data was gathered from 223 online shoppers and the data was analyzed using descriptive analysis to analyze the type of product return and the reasons for return while the effect of reverse logistics operational responsiveness on customer satisfaction was analyzed using multiple regression in accordance with the output of SPSS 21.0 Findings indicated that operational responsiveness in the reverse logistics process significantly influences customer satisfaction.

This paper aims to examine the quantile-based frequency connectedness between cryptocurrencies and palladium returns across different market conditions and investment horizons. In this paper, it is also aimed to evaluate the asymmetric and time-varying spillover dynamics between cryptocurrency markets and palladium returns in order to determine their diversification, hedging, and safe-haven characteristics. The study discussed the Heterogeneous Market Hypothesis together with the concepts of cryptocurrencies and palladium as part of the theoretical and conceptual foundation of the analysis. We employed a hybrid analytical framework combining Quantile Regression (QR), Quantile-on-Quantile Regression (QQR), and Ensemble Empirical Mode Decomposition (EEMD) to capture the non-linear and frequency-dependent relationships between the selected variables. Daily time-series data on palladium prices and major cryptocurrencies, namely Cardano (ADA), Binance Coin (BNB), Bitcoin (BTC), Ethereum (ETH), TRON (TRX), Tether (USDT), Dogecoin (DOGE), and Ripple (XRP), sourced from CoinMarketCap and Bloomberg Terminal, were analysed over the study period. Main findings of the study demonstrate that (i) the connectedness between cryptocurrencies and palladium returns is generally weak in the short term, indicating limited immediate spillover effects between the two markets, (ii) medium- and long-term horizons exhibit stronger and predominantly positive connectedness across most quantiles, particularly from cryptocurrencies to palladium returns, suggesting increasing financial integration over time, and finally (iii) the cryptocurrency–palladium return nexus is asymmetric and state-dependent, with palladium occasionally displaying limited hedging and safe-haven properties during periods of market distress. The study concludes that cryptocurrencies primarily function as diversification instruments rather than consistent hedging assets against palladium market risks. Based on the findings, investors and portfolio managers are encouraged to adopt medium- to long-term investment strategies when integrating cryptocurrencies and palladium within diversified portfolios, while closely monitoring persistent cryptocurrency market trends that may influence palladium price dynamics over time.

This paper aims to develop a conceptual and measurement framework for assessing environmental, social and governance (ESG) disclosure quality in Nigerian banks. It also aims to demonstrate how ESG disclosure quality can be distinguished from ESG disclosure quantity, ESG performance, ESG practices, ESG ratings and sustainability reporting. We employed a conceptual review and framework development approach by synthesising stakeholder theory, institutional theory, Nigerian sustainable banking regulation, international sustainability reporting standards and related banking literature. The materials analysed include the CBN Sustainable Banking Principles, SEC Sustainable Financial Principles, NGX Sustainability Disclosure Guidelines, Nigeria’s IFRS Sustainability Disclosure Standards adoption roadmap, IFRS S1/S2, GRI, TCFD, PCAF, the Basel Core Principles for Effective Banking Supervision and literature on ESG disclosure, banking risk, financial stability and disclosure quality. The main findings of the study demonstrate that: (i) ESG disclosure quality is a distinct construct; and (ii) bank ESG disclosure quality should be assessed across environmental, social and governance dimensions. The paper proposes the ESG Disclosure Quality Index framework which provides a graded 0–5 scoring scale and three empirical model specifications for future panel data studies. The framework provides a basis for assessing ESG disclosure quality and examining its relationship with bank-level outcomes in Nigeria and comparable emerging market banking systems.               

This research investigates the influence of project management practices (PMP) on sustainable development among oil-producing villages in the Ilaje Local Government Area of Ondo State, Nigeria. This study examines the impact of Project Management Practices (PMPs)—including planning, implementation, monitoring, and evaluation—on the sustainable development (SD) dimensions of the environmental, economic, and social aspects of inhabitants in oil-producing areas within Ilaje LGA, Ondo State. Data were gathered from 154 household heads through structured questionnaires using a survey methodology and analysed with descriptive and inferential statistics, including multiple linear regression. The findings indicated a modest level of PMP, with Mean Index Scores between 2.14 and 2.44, signifying restricted community engagement. The results of the multiple linear regression indicate that the construct and implementation significantly impacted all three dimensions of sustainability: environmental, economic, and social. This indicates that financial benefits are received by the residents of the host community, notwithstanding their limited participation as casual workers during project execution. Nevertheless, oil companies exhibit minimal care for the aspirations of the populace concerning the impact of their projects on the local environment.  The study's geographic limitations restrict generalisability, indicating the necessity for further extensive comparative research. It advises oil companies to use inclusive project management frameworks that improve stakeholder engagement, therefore promoting sustainable socio-economic development and environmental stewardship in host communities

The doctoral programme is an educational programme put in place to earn the degree of Doctor of Philosophy (Ph.D). A criterion for assessing the successful administration of doctoral degrees in universities is the timely completion of the programme.  Research indicates that several Ph.D. candidates at Nigerian universities fail to finish their programmes within the anticipated five-year timeframe. This research examined the determinants of efficient administration of PhD programmes in universities in southern Nigeria. A sample of 528 respondents (PhD students, supervisors and coordinators) was drawn from the University of Ibadan 305, Olabisi Onabanjo University 38, Ekiti State University 50 and the University of Lagos 135. Two questionnaires titled “Effective Management of Doctoral Programme Questionnaire” (EMDPQ r=0.83) and “Predictors of Effective Management of Ph.D Questionnaire” (PEMPQ r=0.82) were used to collect data. Multiple regression analysis was used to test two null hypotheses at the significance level of 0.05. The research found that the successful administration of PhD programs in institutions in southwest Nigeria was significantly influenced by student, supervisory, and institutional variables (F(3;461) =25.973, Adj. R2=0.13), accounting for 13% of its variance. It was also shown that institutional (? = 0.277, t = 2.892, p < 0.05) and student-related (? = 0.275, t = 2.425, p < 0.05) factors are more powerful predictors of effective management of doctoral programmes than supervisory variables. The findings indicated that to improve the effective management of doctoral programmes in universities in southwest Nigeria, stakeholders should prioritise collaboration on student, supervisory, and institutional factors.

This study examines the impacts of credit risk management on the growth of Nigerian banks. Specifically, the study focused mainly on the impacts of credit risk management among Deposit Money Banks in Nigeria. The study employed an ex-post facto research design, utilising secondary data from the financial information of 14 selected listed Deposit Money Banks from 2007 to 2022. The study population was defined as the total number of listed Deposit Money Banks, from which a sample of six banks was selected using a simple random sampling technique. The operationalisation of variables included (1) the use of natural logarithm for bank size, (2) a three-level scale for credit risk, and (3) alternative measurements for collateral management and credit scores. Data analysis involved the calculation of descriptive statistics, correlation analysis, variance inflation factors, and regression analysis. The research hypotheses are also validated to assess the significance of various factors in credit risk management. The findings revealed that credit scores significantly enhance the effectiveness of credit risk assessment, and collateral management did not significantly contribute to mitigating credit risk. The findings also revealed that default risk management significantly reduces the credit risk of Deposit Money Banks in Nigeria. These results highlight the intricate nature of credit risk management in the banking sector and emphasize the need for a multifaceted approach.