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Abstract: Access to safe sanitation and water
services for all is a human right that is anticipated under the UN Sustainable
Development Goals (SDGs). Despite extensive government interventions to improve
the water and sanitation sector efficiency, a very large portion of the
population still lacks adequate access to these services. This study aimed to
evaluate the dynamic environmental scanning approaches and economic efficiency
of water service providers (WSPs) in Kenya. Specifically, it explored the
effect of dynamic environmental scanning on economic efficiency of WSPs. It was
anchored on Lewin’s Change Management theory and Systems theory. A descriptive
research design was employed, focusing on a census of all the 88 regulated WSPs
in Kenya. Collection of data was carried out using closed ended questionnaires,
supplemented with secondary data. It focused on data for five financial years
from 2019/20 to 2023/24. It obtained a response rate of 89.9%. Descriptive
statistics was used to give an outline of the dataset. Hypothesis testing was
conducted through inferential statistics to generate conclusions that addressed
the objective of the study. Microsoft Excel, python libraries and SPSS version
29 were used in the creation of insightful diagrams, charts, graphs and tables.
The findings provided valuable insights for WSPs management, regulatory bodies
and policymakers in enhancing water and sanitation services. By addressing this
objective, the study strived to facilitate positive change management and
advancement in the sanitation and water sector, ultimately benefiting
communities within Kenya. DOI: https://doi.org/10.51505/IJEBMR.2026.10702 |
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