This paper examines the intricate relationship between development, state formation, and ethnicity in the South Pacific and Northern Kenya to establish a framework for comparative research. Comparative approach was used ...

Women Self-Help Groups (WSHGs) have become instrumental in driving rural development, particularly in Homa Bay County, Kenya. They offer a unique model for addressing the socio-economic challenges faced by rural communities. ...

Travel and tourism industry has been considered as a major catalyst for local community development. As an alternative way of involving the host community in tourism activities directly, sports tourism aims to enable the ...

Prudent corporate governance requires an all-encompassing approach focused on democratic values, legitimate representation, and involvement while respecting and safeguarding the interests of all stakeholders. Corporate ...

Mobile banking is a products and services distribution strategy the bank offers to its customers. It enables customers to access the bank products and services remotely using mobile phones. The study investigated the ...

Agency banking strategy is a branchless banking strategy that leverages modern Information Communication Technologies to provide financial services remotely. The study investigated the influence of agency banking strategy ...

This paper draws on the experience of Turkana pastoralists living in the Turkana District in the arid zone of northwestern Kenya, an area with a long history of drought and famine. Special attention is focused on understanding ...

This study examines the livelihoods of fishmongers at Dunga Beach on the banks of Lake Victoria in Kisumu County, emphasizing the dual themes of vulnerability and resilience within the framework of economic activities ...

The development of deep learning algorithms has led to major improvements in image classification, a key problem in computer vision. In this study, the researcher provide an in-depth analysis of the various deep learning ...

The study on deep learning models for crop diseases and pest classification looked at how these models may enhance agricultural practices, specifically for the purpose of more precise pest and crop disease classification. ...