Mobile money is an attractive alternative that has boomed in recent times due to the advancement in mobile and telecommunication technology. Although there are copious benefits of such a great mobile technology, the adoption rate is far from expectations. This study examines the factors that predict users’ behavioral intention (BI) to adopt and use mobile money. The study adopts the unified theory of acceptance and usage of technology as a reference and builds an extended model by taking into account “perceived risk” and “trust.” Data collected from 373 mobile money users in Ghana via a questionnaire survey were analyzed using the structural equation modeling approach. The findings reveal that performance expectancy, effort expectancy, social influence, habit, price value, perceived risk, and trust substantially affect users’ BI. However, facilitating conditions and hedonic motivation showed no pertinent effect on users’ BI. Implications for both theory and practice are also discussed.

The study investigates how corporate social responsibility (CSR) impacts customer engagement and the mediating role of customer-brand identification and customer satisfaction. Survey data collected from 293 life insurance customers were analyzed using structural equation modeling. The findings reveal that CSR, customer-brand identification, and customer satisfaction are essential drivers of customer engagement. Furthermore, the findings show that CSR significantly influences customer-brand identification and customer satisfaction. The results also show that customer-brand identification and customer satisfaction play a key mediating effect in the relationship between CSR and customer engagement. The findings underscore the need for life insurance firms to consider CSR as a strategic instrument to stimulate and elicit favorable customer responses.

This study examined the influence of trust dimensions on customer engagement, and the resultant impact of customer engagement on customer loyalty in the context of life insurance. Furthermore, it investigated the mediating role of customer engagement in the relationships between trust dimensions and customer loyalty. A total of 452 valid responses from life insurance customers in Ghana were examined using structural equation modeling (SEM). The results revealed that trust in service provider, trust in the regulator, economy-based trust, and information-based trust significantly influence customer engagement, with trust in service provider and trust in the regulator driving a higher level of customer engagement. The results also uncovered that customer engagement significantly enriches customer loyalty and mediated the relationships between the trust dimensions and customer loyalty. The findings highlight the importance of building convincing customer trust to advance customer engagement and customer loyalty.

A number of studies have been conducted on the salient factors that influence consumers’ intention to adopt mobile banking services. However, none of these studies has explored the impact of personality traits on consumers’ intention to adopt mobile banking services. This study investigates the impact of personality traits on users’ intention to adopt mobile banking. Data gathered from 482 mobile banking users in Ghana via a convenience sampling technique using a questionnaire survey were analyzed using structural equation modeling. The results show that agreeableness, conscientiousness, and openness to new experience significantly impact users’ intention to adopt mobile banking through perceptions of usefulness and ease of use, with agreeableness showing the strongest total effect, followed by conscientiousness. The results also reveal that perceived usefulness and perceived ease of use are salient predictors of users’ intention to adopt mobile banking. The study underscores the need for service providers to focus on designing effective marketing strategies that recognize different user personality traits so as to improve adoption.

The objective of this study was to examine the theoretical predictions of the pecking order theory and the trade-off theory to establish which of the two competing theories better explains the financing decisions of small and medium enterprises (SMEs). The study examined 187 SMEs in Ghana using the panel data methodology. The results reveal that the explanatory power of both theories apply and are pertinent to Ghanaian SMEs. The results also show that profitability, age, liquidity, growth, size, and tangibility of assets all have a significant impact on SMEs’ capital structure. In addition, the findings show that risk plays no vital role in how SMEs choose their capital structure. Broadly, the results provide evidence to back the pecking order theory, indicating that Ghanaian SMEs’ funding decisions exhibit the theoretical predictions of the pecking order theory.