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Drawing on risk mitigation theory, this study aims to examine the link between corporate social responsibility (CSR) disclosure and the cost of debt financing (CDF). In particular, this paper seeks to determine whether firms with higher CSR disclosure scores have a lower CDF.

This paper uses a panel data analysis of non-financial Ghanaian firms listed on the Ghana Stock Exchange from 2006 to 2019. The CSR index constructed from firms’ annual reports and sustainability reports is used as a proxy for the extent of CSR information disclosures by Ghanaian companies.

The empirical results demonstrate that CDF is positively related to CSR disclosure scores. Besides, the results show that the levels of long-term debt increase with CSR disclosure in a highly risky industry. However, the finding does not meet the lenders’ expectations in terms of CSR attracting favourable debt financing sources.

The research is based only on the quantity of the CSR information disclosed by Ghanaian companies and does not account for the quality of the CSR disclosures. The empirical model omits some control variables such as the age of the firm and external business conditions. The results should not be generalized, as the sample was based on three listed industries in Ghana for 2006–2019.

This study extends the scope of previous studies by examining the importance of CSR disclosures in financing decisions. More precisely, it focuses on the relatively little explored relationship between the extent of CSR disclosures and access to debt financing. Moreover, this study focuses on the rather interesting empirical setting of Ghana, which is characterized by its low level of CSR awareness. Achieving a better understanding of the effects of CSR information is useful for corporate managers desiring to meet lenders’ expectations and attract debt financing sources.

In the wake of climate change and its associated impact on firms' performance, this paper attempts to provide a piece of empirical evidence in support of the effect of weather conditions on the stock market performance.

Monthly time-series dataset and the fully modified ordinary least square (FMOLS) semi-parametric econometric technique are used to establish the effect of weather variables on stock market return.

This study finds that temperature and wind speed have a negative and statistically significant relationship with stock market performance. Likewise, humidity exhibits a negative relationship with stock market performance, albeit insignificant. The relevant stock market and macroeconomic control variables are statistically significant in addition to exhibiting their expected signs. The findings lend support to advocates of behavioural factors inclusion in asset pricing and decision-making.

For policy purposes, the authors recommend that traders, investors and stock exchange managers must take into consideration different weather conditions as they influence investors' behaviour, investment decisions, and consequently, the stock market performance.

To the best of the authors’ knowledge, this study provides the first empirical evidence of the nexus between disaggregated weather measures and stock market performance in Ghana. This study uses monthly data (which are very rare in the literature, especially for developing country studies) to provide empirical evidence that weather influences stock market performance.

This paper attempts to investigate the influence of psychological biases on saving decision-making of bank customers in Ghana.

It employs weighted least squares regression to test the effect of psychological biases on savings decisions of bank customers.

The findings show that all the nine psychological biases, namely mental accounting, availability, loss aversion, representativeness, anchoring, overconfidence, status quo, framing effect and disposition effect employed for the study have a significant influence on saving decision of bank customers. The results depict that psychological biases are entrenched in the saving pattern of bank customers in Ghana.

For policy purposes, the study recommends that bank customers need to enhance their knowledge of psychological biases in order to improve their gains from savings, and not to fall prey to these prejudices. The satisfied customer is a dependable source of bank viability and survival.

To the best of the knowledge of the author, this study provides the first empirical evidence of the influence of psychological biases on saving decisions of bank customers in Ghana. The findings of this study will enhance knowledge on the influence of psychological biases on individual decision-making and will accentuate the fact that the individual is not an entirely rational being.

In the wake of fierce competition that has ensued among banks to get a share of the depositors' funds after the banking sector reforms in 2017, this study attempts to investigate bank service quality and its influence on customer satisfaction and customer loyalty in the Greater Accra Region of Ghana.

Using a sample of 753 respondents (bank customers), the study employs the structural equation modelling (SEM) using Smart-PLS to test the nature of relationships between service quality, customer satisfaction and customer loyalty using the SERVQUAL model.

The findings show that, with the exception of assurance, the remaining four antecedents of service quality, namely reliability, responsiveness, empathy and tangibility had significant positive influence on customer satisfaction. The results also show a significant positive influence of customer satisfaction on customer loyalty, implying that more satisfied customers in Ghana tend to become more loyal to their banks.

For policy purposes, the authors recommend that banks should invest in improving service quality to drive customer satisfaction, loyalty and ultimately firm performance. The satisfied customer is a reliable source of bank viability and survival.

To the best of the knowledge of the authors, this is the first time a study on bank service quality has been done involving the management of banks in Ghana. This ensures the reliability of results. The findings of this study enhance knowledge of the positive relationship between service quality, customer satisfaction and loyalty using a modified SERVQUAL model.

The study examines the impact of risk on the profit efficiency and profitability of banks in Ghana.

Data envelopment analysis was used to estimate profit efficiency scores and accounting ratios were used to measure profitability. The panel corrected standard error regression was used to assess the nexus using a dataset of 32 banks from 2000 to 2015.

The paper found that the Ghanaian banking industry exhibits a variable return to scale property, suggesting that average costs change with output size. Profit efficiency score for banks closer to the efficiency frontier is 61%. Credit risk is significant in enhancing profit efficiency and return on equity. Market risk is relevant in improving profit efficiency, return on asset and asset turnover. To drive profitability, bank managers have to be committed to effective liquidity risk, insolvency risk and capital risk management. Operational risk reduces shareholders' returns. The impact of size, age, stock exchange listing, cost efficiency and competition have are all been discussed extensively.

The findings contribute to the knowledge on the risk-performance nexus and provide information that is valuable to academics, bankers and regulators for policy formulation. The findings are relevant to the newly established Financial Stability Council.

This paper appears to be among the premier attempts to examine the effect of various risk types identified in the Basel III framework on bank performance in Africa.

The purpose of this study is to examine the convergence and determinants of anti-corruption disclosures of extractive firms in Africa.

The study uses an unbalanced panel data of 27 firms operating in 5 African countries covering the period 2006 to 2018. Corporate data is collected from the global reporting initiative (GRI) database. The study uses an index to measure overall disclosure and individual items are coded as binary. The study uses fixed effects, panel logistic and panel-corrected standard error regression, depending on the type of dependent variable used.

The results indicate that the determinants of anti-corruption disclosure are membership in the United Nations global compact (UNGC) and Extractive Industry Transparency Initiative, multi-national enterprise status, corruption perception index and human development index (HDI). Specifically, UNGC membership and multi-national status enhance the disclosure on corruption analysis. Countries with a high prevalence of corruption tend to disclose more on corruption analysis. Disclosure on corruption training is high among firms that are UNGC signatories, countries with a high HDI and countries with a high prevalence of corruption. There is a weak effect of firm-level, industry-level and country-level factors on disclosures on corruption response.

The study provides insights on the use of GRI 205: Anti-Corruption, which has relevant implications for practitioners, policymakers and the academic community.

This study is premier in exploring anti-corruption disclosure with a special focus on extractive firms in Africa. It is also unique in providing a test of both beta and sigma convergence among the firms.

This study aims to examine the effect of anti-corruption disclosure on the profitability and financial stability of extractive firms in Africa. It also tests the convergence of profitability and financial stability.

The study uses an unbalanced panel data of 27 firms operating in five African countries covering the period 2006–2018. Anti-corruption assessment is done in line with GRI 205: Anti-Corruption. Profitability is measured using the return on asset and return on equity, whereas the z-score measures financial stability. The study uses the panel-corrected error regression technique for estimation.

There is evidence that corruption disclosure reduces the financial stability of firms. Disclosures on corruption analysis and corruption training are the main factors driving the reduction in financial stability. The effect on profitability is not significant except in the case of disclosure on corruption response, which also reduces profitability. There is strong statistical evidence to suggest that profitability and financial stability of extractive firms converge. This suggests that less-performing firms catch up with high performers.

The study has relevant implications for practitioners, policymakers and the academic community. The study uses data that is skewed towards large extractive firms.

This study is premier in exploring the effect of anti-corruption disclosure on performance metrics among extractive firms in Africa. It is also unique in providing a test of both beta and sigma convergence of performance among the firms.

Transnational corporation (TNC)-led oil investments have been widely encouraged as a mechanism for the development of the Global South. Even though the sector is characterized by major accidents, oil-based developmentalist narratives claim that such accidents are merely isolated incidents that can be administratively addressed, redressed behaviorally through education of certain individuals, or corrected through individually targeted post-event legislation. Adapting Harvey Molotch’s (1970) political economy methodology of “accident research”, this paper argues that such “accidents” are, in fact, routine in the entire value chain of the oil system dominated by, among others, military-backed TNCs which increasingly collaborate with national and local oil companies similarly wedded to the ideology of growth. Based on this analysis, existing policy focus on improving technology, instituting and enforcing more environmental regulations, and the pursuit of economic nationalism in the form of withdrawing from globalization are ineffective. In such a red-hot system, built on rapidly spinning wheels of accumulation, the pursuit of slow growth characterized by breaking the chains of monopoly and oligopoly, putting commonly generated rent to common uses, and freeing labor from regulations that rob it of its produce has more potency to address the enigma of petroleum accidents in the global south.

The purpose of this paper is twofold: to determine the factors contributing to farm income in the Transitional and Savanna zones of Ghana and to ascertain variations between in the same and across the two locations; and to determine the impact of credit on farm income in each of the two zones and to ascertain the variation in impact of credit across the two locations.

In order to address endogeneity and sample selection bias, the authors draw from the theory of impact evaluation in nonrandom experiment, employing the endogenous switching regression (ESR) while using the propensity score matching (PSM) to check for robustness of the results.

The results show significant mean differences between some characteristics of households that have access to credit and those that did not have access. Further, the results revealed farm size, labor; gender, age, literacy, wealth and group membership as the significant determinants of both credit access and income in the two zones. With the ESR, credit access increases households farm income by GH¢206.56/ha and GH¢39.74/ha in the Transitional and Savanna zones, respectively, but with the PSM, credit increases farm income by GH¢201.50 and GH¢45.69 and in the Transitional and Savanna, respectively.

The mean differences in characteristics of the households revealed the presence of selection bias in the distribution of household’s covariates in the two zones. The results further indicate the importance of productive resources, information and household characteristics in improved access to credit and farm income. Also, the results from both methods indicate that credit access leads to significant gains in farm income for households in both zones. However, differences exist in the results of PSM and that of the ESR results.

The presence of selection bias in the samples suggests that the use of ESR and PSM techniques is appropriate. Further, the results suggesting that enhanced credit access and farm income could be attained through improved access to household resources and information. The results also suggest the need for establishing and expanding credit programs to cover more households in both zones. The differential impact of credit between the two methods employed in each zone revealed the weakness of each model. The low values from PSM could indicate the presence of selection bias resulting from unobservable factors whiles the high values from the ESR could stem from the restrictive assumption of the model. This reinforces the importance of combining mixed methods to check robustness of results and to explore the weakness of each method employed.

The novelty of this study lies in the use of a very extensive and unique data set to decompose the determinants of credit access and farm income and as well as the impacts of credit into zones.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.