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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.

This study presents a quantitative analysis of the strategic role of job embeddedness on turnover intention among nurses in selected healthcare centres in urban Accra, Ghana. Focusing on both on-the-job and off-the-job embeddedness, the study aims to develop a predictive model as a complement to evidence-based policies on human resources to help improve the existing retention of nurses in the healthcare sector. A sample of 276 nurses was randomly selected to participate in the study. Structured questionnaires were administered through digital formats to enable selected respondents to provide data for analyses. The authors employed descriptive statistics in SPSS Version 28 to analyse the data, while Structural Equation Modelling with SmartPLS 3.0 was used to assess the relationships among the variables. By adopting an ecosystem and strategic perspective, this paper considers the role of on-the-job embeddedness as a vital stability mechanism in healthcare systems. Conversely, off-the-job embeddedness emerged as a comparatively weaker influence. The results underscore the need to improve organisational embeddedness as a strategic approach to curtail turnover and enhance healthcare service within healthcare facilities in Ghana.

Concerns about nurse attrition are mounting. Despite this, limited empirical evidence exists on how different dimensions of burnout and institutional support interact in this context. This study investigates how burnout influences nurses’ turnover intention (TI) in urban Ghana and examines whether institutional support mitigates this relationship. A cross-sectional survey design was employed to collect data from 245 nurses across five Christian-based hospitals. Primary data is analysed and aided by the Partial Least Squares Structural Equation Modelling (PLS-SEM) in addition to conducting direct evaluation to assess the moderating influences. The findings revealed that emotional exhaustion has a significant impact on TI, whereas depersonalisation has no direct effect. Institutional support also significantly reduces TI. In addition, emotional support strongly moderates the link between emotional exhaustion and TI, while access to resources partially moderates the effect of depersonalisation. The study shows that the negative effects of burnout on TI can be reduced through strong institutional support systems. The outcomes reinforce the applicability of Job Demands-Resources and Social Exchange theories and recommend more investment in both tangible resources and emotional support mechanisms to enhance nurse retention in high-demand urban healthcare ecosystems.

This study examines the mediating role of corporate governance in the relationship between hierarchy culture and sustainability performance within African Civil Aviation Authorities (ACAAs). Grounded in institutional theory, the study seeks to explain how internal cultural systems and governance frameworks jointly influence economic, environmental, and social sustainability outcomes in highly regulated sectors. A quantitative research design was employed, using structured surveys administered to 371 aviation managers across 54 African Civil Aviation Authorities. Data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) to test both direct and mediating relationships between hierarchy culture, corporate governance, and the three sustainability dimensions. The results reveal that hierarchy culture has strong positive effects on economic, environmental, and social sustainability performance. However, corporate governance negatively mediates the relationship between hierarchy culture and economic performance and shows no significant mediation for environmental and social outcomes. Aviation regulators should reconfigure governance frameworks to balance regulatory compliance with innovation. Integrating environmental, social, and governance (ESG) principles into aviation governance codes and promoting adaptive, transformational leadership can enhance sustainability performance. This study provides one of the first empirical examinations of the synergy between hierarchy culture and corporate governance within African aviation authorities. It contributes to institutional theory by demonstrating that governance mechanisms, often assumed to enable sustainability, may sometimes constrain it in highly regulated organisational settings.