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E-commerce is gaining popularity due to its importance for both merchants and consumers, particularly in light of the COVID-19 pandemic, which restricts mass movement and gathering, as well as the high costs associated with traveling to different markets. Despite mounting evidence demonstrating the importance of internet in retails business, little is known about the potential mechanisms that increase consumer purchasing intentions when using online shopping platforms. In today's high customer sensitivity to service quality, successful entrepreneurs have recently thrived under competitive pressures. Online transactions are more difficult because buyers and sellers do not know each other, yet they must provide financial information to intermediaries. Thus, it is now clear that increasing customer trust is a viable strategy for driving e-business success today. Considering this, a new model demonstrating a potential mechanism that increases customers' trust in intermediaries and thus leads to their online purchasing intentions was developed. This innovative model connects website quality to the online purchasing intentions of the customers, using trust in intermediaries as a mediator and moderating the effect of perceived usefulness. To prove or disprove the assumptions highlighted in this study, a cross-sectional research design was used with data from 568 clients of nine domestic e-commerce platforms operating in Rwanda. To investigate the relationship between the variables hypothesized in this study, a variety of methods and tools were used. To assess the potential effect of each variable in this model, we used CFA in SEM-Amos, mean and standard deviation in SPSS, and Hayes macro process. The overall results obtained using the various techniques specified supported the current hypothesized model. We believe that the current study provided an innovative and useful mechanism as one of the potential solutions for today's merging online businesses.

To stay competitive and viable in today's rapidly evolving and highly hostile market climate, companies need to concentrate more on innovation. In this regard, the specific quality of transformational leadership has been strongly linked to organizational innovativeness. However, the purpose of this study is to examine the relationship between transformational leadership and the innovation behavior of employees. The literature review developed in the current study is fundamentally centered on how transformational leaders value innovation by facilitating organizational learning to foster innovative behavior among employees. Corporate social responsibilities as an organizational level factor that can drive employee attitudes were also examined as a moderating effect in this relationship. The rationale of the relationship of the variables is supported by both transformational leadership theory (TFL) and social exchange theory (SET). Data were collected from corporate social responsibility engaged SMEs operating in Rwanda. Using Cranach’s alpha reliability and validity were tested while structural equation modeling (SEM) was used in analyzing data. The findings of this study intend to fill some gaps in the current literature such as the introduction of CSR in the relationship between top managerial level leadership, organizational learning, and innovation behavior of employees, also introducing SET to explain such important relationship

Despite the mounting evidence that leadership can fuel the innovation behavior of employees, yet no study considered the psychological state of employees in such a relationship while Psychology is the primary root of human feelings and behavior. In this regard, this study uses the integrative approach of transformational leadership theory and positive psychology to uncover the pivotal role of positive psychological capital (PsyCap) and perceived effort-reward fairness in the relationship between transformational leadership (TFL) and employee’s innovation behavior. Data collected from 14 banking institutions operating in Rwanda (412 total respondents) were analyzed using structural equation modeling and findings support our hypothesized model