Mr. Barnaba has over ten years of development and programme management experience, this expertise was horned while working with International Non-governmental Organizations (INGO) in the East and Horn of Africa region.
He was awarded an undergraduate degree from Egerton University in 2018. And presently a Master of Arts in Project Planning and Management from the University of Nairobi
PROJECT/THESIS TITLE
INNOVATIVE PROGRAMME MANAGEMENT PRACTICES IN HUMANITARIAN ACTION AND THEIR IMPACT ON PROGRAMME QUALITY: A CASE OF NORWEGIAN REFUGEE COUNCIL, SOMALIA
ABSTRACT
Despite access constraints, contextual and programmatic risks linked to the operating environment in Somalia, project implementation is ongoing, resources utilized and reporting conducted. However, despite the implementation of monitoring and evaluation plans, the country continues to register delays in the implementation and completion of humanitarian. A shift in programming approaches to ensure quality programming is required in such contexts. The changing technological landscape including increased telephone and radio coverage, satellite capabilities coupled with the need for remote management in fragile and conflict-affected environments has been a catalytic factor in innovative programme management approaches leading to improve program quality.
Objectives were to determine the need and influence of real-time learning
evaluation of programme quality; to establish the link between remote management requirements and influence on programme quality; to investigate the influence of stakeholder’s access on programme management approaches, and to examine the influence early warning has played in adoption of innovative programme management approaches and influent on programme quality. The study was anchored on the Theory of Diffusion of Innovation approaches and the
theory of Disruption of Innovation. The target population consisted of NRC regional and Somalia country office staff. A sample size of 98 was arrived at for this study and probabilistic sampling technique was adopted. Descriptive statistics was adopted for the study.
The study established that a positive and significant relationship existed between the predictor variables, real-time monitoring, remote management, access to stakeholders and early warning systems and the outcome variable – Quality of programming
