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Less attention has been given to well-being and other household characteristics that influence clients’ access to micro-credit among women households especially. The paper investigates the determinants of access to credit by 320 women entrepreneurs in the Mfantsiman Municipality in the Central Region of Ghana. Data for the study was collected in June-July 2010 from six communities including Mankessim, Saltpond, Anomabu, Biriwa and Yamoransa. Sturctured questionnaires were used to collect the data from women entrepreneurs. The results of the study indicate that clients’ well-being influences access to credit amount. Clients who have been in business for long time are likely to access larger loan amounts. Marital status and education do not influence access to credit. Among the recommendations are that microfinance should not only target clients with high well-being scores but those with low well-being scores since the original aim of microfinance is to lift the poor out of poverty. It is important to give credit to aged business owners instead of young ones. Giving credit to married women because their husbands could serve as guarantors does not matter much but rather women who do not have husbands also need to benefit from micro-credit.

Human capital is a significant element in the attainment of sustained competitive advantage and economic survival of organizations. The study explored whether human capital mediates the nexus of human resource management practices and organizational performance. A field study was conducted among 11 internationally and 4 indigenously owned banks. The hypothesized relationships were supported by the data. The results show that the association between selective staffing with the levels of human capital was significant. The results also show that the levels of human capital influenced organizational performance significantly. The results further show that human capital mediated the nexus of HRM practices and organizational performance. The generalizability of the results obtained may be constrained since the present study focused on the banking industry. The study suggests the creation and maintenance of valuable human capital promote competitiveness and sustained competitive advantage. The study contributes to the extant literature by empirically evidencing that human capital mediated the nexus of HRM practice and organizational performance.  

Highly engaged employees ensure organizational competitiveness and success. The study examined whether employee engagement mediates the relationship between human resource development and employee turnover intentions. A field study was conducted among six indigenously owned healthcare institutions and 14 internationally owned healthcare institutions. The data supported the hypothesized relationships. The results indicate a significant association between HRD and the levels of behavioral engagement. HRD and the levels of emotional engagement had an insignificant relationship. HRD and the levels of cognitive engagement were significantly related. The findings also indicated that the association between HRD and employee turnover intentions was mediated by employee engagement. The present study’s emphasis on healthcare institutions may constrain the generalizability of the findings. The study suggests the adoption and development of well-designed and formulated HRD practices enhance employee engagement, knowledge development, and organizational commitment. By empirically demonstrating that employee engagement mediates the nexus of HRD and employee turnover intentions, the study extends the literature.

This study focused on sales-orientation and customer-orientation of Direct Sales Executives (DSEs) on sales performance at Fidelity Bank, Ghana; which was a cross-sectional study. Data were analysed using descriptive statistics, Kendall’s coefficient of concordance, cross tabulation and chi-squared test of independence. The result showed a strong association between prior sales experience and employment status. DSEs customer orientation was influenced by customer information while the sales orientation was on convincing customers to buy. The customer-oriented culture was based on reliable market and customer information. DSEs sales performance were influenced by complete knowledge of the bank’s products and services, listening skills and empathy. The study suggests that Fidelity Bank must sensitize its DSEs on the bank philosophy on its customer orientation culture. This study appears to be the first of its kind to explore the connection between sales orientation and customer orientation on performance in the Banking Industry in Ghana, thus providing empirical evidence for academics and practitioners.

A high level of brand awareness and brand image enhances customers` favourable word-of-mouth referrals which in turn, strengthens their WTP a high price for a brand. Despite the increasing importance of brand awareness and brand image to customers` word-of-mouth referrals and their WTP a high price, there are limited studies on the mediated role of brand image in the influence of brand awareness on customers` word-of-mouth referrals and their WTP a high price, particularly in the herbal industry. Hence, this study aimed to investigate the mediated role of brand image in the impact of brand awareness on word-of-mouth referrals and WTP a high price in the herbal industry. Using a systematic sampling strategy, data were collected from 265 samples of customers in the Cape Coast herbal market. The research hypotheses were statistically tested via structural equation modelling with the help of smart PLS 3.3.3. The study establishes that the relationship between brand awareness, word-of-mouth and WTP a high price is partly attributed to the influence of brand image. Besides, the study found that word-of-mouth contributes partially to the influence of brand awareness and brand image on WTP a high price. The study confirmed that brand image is critical in developing brand awareness to strengthen customers` word-of-mouth referrals and their WTP a high price in the herbal industry.

This paper aims to examine the quantile-based frequency connectedness between cryptocurrencies and platinum returns across different market conditions and investment horizons. In this paper, it is also aimed to evaluate the asymmetric and time-varying spillover effects between cryptocurrency markets and platinum returns within short-, medium-, and long-term horizons. The study discussed the Heterogeneous Market Hypothesis together with the concepts of cryptocurrencies and platinum as part of the theoretical and conceptual foundations underpinning the analysis. The study adopted the positivist research paradigm, quantitative research approach, and explanatory research design. 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 dynamics between the selected variables. A dataset comprising daily prices of Cardano (ADA), Binance Coin (BNB), Bitcoin (BTC), Ethereum (ETH), TRON (TRX), Tether (USDT), Dogecoin (DOGE), Ripple (XRP), and platinum returns sourced from CoinMarketCap and the Bloomberg L.P. Terminal was analysed. The main findings of the study demonstrate that (i) the connectedness between cryptocurrencies and platinum returns is generally weak and predominantly inverse in the short term, indicating minimal immediate spillover effects between the two asset classes, (ii) medium-term relationships become significantly stronger with positive dependencies dominating across most quantiles, suggesting increasing integration driven by speculative investment flows and evolving investor sentiment, and finally (iii) long-run connectedness is highly asymmetric and predominantly positive, particularly from cryptocurrencies to platinum returns, although occasional negative dependencies at lower quantiles indicate limited hedging and safe-haven properties during extreme market downturns.  

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 examined the connectedness between Copper returns and major cryptocurrency returns, with particular attention to their predictive ability and their roles in diversification and risk transmission across varying market conditions and investment horizons. In this study, it is also aimed to evaluate how these relationships evolve across different quantiles and frequency domains, thereby capturing both distributional asymmetries and time-dependent dynamics. We employed a hybrid analytical approach combining Ensemble Empirical Mode Decomposition and Quantile-on-Quantile Regression to decompose the return series and estimate dependence structures across multiple quantiles and time scales. A dataset comprising daily observations of copper and selected cryptocurrencies, Cardano (ADA), Binance Coin (BNB), Bitcoin (BTC), Ethereum (ETH), TRON (TRX), Tether (USDT), Dogecoin (DOGE), and Ripple (XRP), covering the period from 17 September 2014 to 17 April 2026 was analysed. The main findings of the study demonstrate that (i) short-term connectedness between copper and cryptocurrencies is generally weak, indicating limited immediate transmission of shocks; (ii) medium- and long-term results reveal stronger and more structured dependence, with certain cryptocurrencies, particularly Bitcoin and Binance Coin, exhibiting notable predictive influence on copper returns alongside time-varying co-movements; and finally (iii) the relationship is highly state-dependent, with stronger and asymmetric spillovers emerging during extreme market conditions, suggesting that cryptocurrencies primarily serve as diversifiers rather than consistent hedges. These results highlight the dynamic nature of the cryptocurrency–copper nexus and provide important implications for portfolio diversification, risk management, and financial market monitoring in increasingly interconnected global markets.

This paper examined the connectedness between silver returns and major cryptocurrencies, with particular attention to their predictive ability and their roles as hedging, safe-haven, and diversification instruments across varying market conditions and investment horizons. In this paper, it is also aimed to evaluate how these relationships evolve across different quantiles and frequency domains, thereby capturing both distributional asymmetries and time-dependent dynamics. We employed a hybrid analytical approach combining Ensemble Empirical Mode Decomposition and Quantile-in-Quantile Regression to decompose the return series and estimate dependence structures across multiple quantiles and time scales. A dataset comprising daily observations of silver and selected cryptocurrencies, Cardano (ADA), Binance Coin (BNB), Bitcoin (BTC), Ethereum (ETH), TRON (TRX), Tether (USDT), Dogecoin (DOGE), and Ripple (XRP), covering the period from 17 September 2014 to 17 April 2026 was analysed. The main findings of the study demonstrate that (i) the short-term connectedness between silver and cryptocurrencies is generally weak and statistically insignificant, suggesting limited immediate transmission of shocks between the two markets; (ii) the medium- and long-term results reveal stronger and more structured dependence, with cryptocurrencies, particularly Bitcoin and Binance Coin, exhibiting notable predictive influence on silver returns, alongside evidence of time-varying co-movements; and finally (iii) the nature of the relationship is markedly state-dependent, as certain cryptocurrencies display hedging or diversification benefits under specific market conditions, while others exhibit mixed or asymmetric effects, especially during periods of extreme market stress. The findings indicate that the cryptocurrency–silver nexus is dynamic and evolves across both time horizons and market states, offering delicate implications for portfolio diversification, risk management, and financial market monitoring in an increasingly interconnected global environment.

This paper examined the effect of TQM on environmental performance (EP) and the mediating role of innovation (INN) in this relationship. We employed a quantitative research method and collected cross-sectional data from 320 SMEs in the food and beverages manufacturing industry OF Ghana. We further utilised PLS-SEM to analyse the data collected. The main results revealed that TQM has a favourable and substantial impact on EP (β = 0.812, p-value = 0.000) and on INN (β = 0.771, p-value = 0.000). Additionally, INN has a favourable and substantial impact on EP (β = 0.163, p-value = 0.000), and, finally, INN partially mediates the direct link between TQM and EP (β = 0.126, p-value = 0.000). However, this mediating effect was strongly influenced by continuous improvement, employee involvement and product innovation. Therefore, SMEs in the food and beverages manufacturing sector should consider investing more in continuous improvement and employee involvement initiatives. Also, pay close attention to and adapt to changes in taste and market trends related to their products.