STRATEGIC INNOVATION AND SUSTAINABILITY OF PUBLIC HEALTHCARE ORGANIZATIONS IN WEST POKOT COUNTY, KENYA

Abstract: Kenya's healthcare sector plays a crucial role in economic growth and the realization of Vision 2030. Public healthcare organizations in West Pokot County, however, face sustainability challenges, including inadequate financial resources, staff turnover, weak health systems, and patient non-payment. This study investigated how strategic innovation affected the sustainability of these facilities, focusing on business model, process, service and technological innovations. The study was anchored on the organizational innovation theory, disruptive innovation theory, dynamic capabilities theory, and the balanced-score card model. The research involved 438 employees and a sample size of 209 from the five healthcare facilities (Kapenguria county referral hospital, Kacheliba, Kabichichi, Chepareria and Sigor sub-county hospitals), using stratified simple random sampling technique and a descriptive research design. Data was collected using structured questionnaires and analyzed using SPSS v29, with multiple linear regression to determine relationships between variables. Analysis of data was done using descriptive and inferential statistics. The study findings revealed the existence of a statistically significant regression effect of independent variables sustainability of public healthcare facilities in West Pokot County, Kenya. The study findings indicated that the multiple regression model significantly predicted how the independent variables affected the dependent variable (sustainability of public healthcare facilities) which indicated an overall statistically significant model with business model innovation 35.6%, (t~3.056) of sustainability of public healthcare facilities in West Pokot County, Kenya. The study further recommended on each of the variables for management and policy consideration in future decision making processes. The findings were expected to be of importance to policy formulation and future scholarly work in strategic innovation and in the field of strategic management as a whole. Keywords: healthcare sector, healthcare organizations, economic growth. Title: STRATEGIC INNOVATION AND SUSTAINABILITY OF PUBLIC HEALTHCARE ORGANIZATIONS IN WEST POKOT COUNTY, KENYA Author: Elijah Kagen Chebii, Dr. Julius Miroga International Journal of Recent Research in Commerce Economics and Management (IJRRCEM) ISSN 2349-7807 Vol. 12, Issue 3, July 2025 - September 2025 Page No: 70-79 Paper Publications Website: www.paperpublications.org Published Date: 24-September-2025 DOI: https://doi.org/10.5281/zenodo.17194816 Paper Download Link (Source) https://www.paperpublications.org/upload/book/STRATEGIC%20INNOVATION%20AND%20SUSTAINABILITY-24092025-2.pdf

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-24
DOI
https://doi.org/10.5281/zenodo.17194816
Primary Topic
Autopsy Techniques and Outcomes
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article
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article

STRATEGIC INNOVATION AND SUSTAINABILITY OF PUBLIC HEALTHCARE ORGANIZATIONS IN WEST POKOT COUNTY, KENYA

Zenodo (CERN European Organization for Nuclear Research)
Autopsy Techniques and Outcomes
article

STRATEGIC INNOVATION AND SUSTAINABILITY OF PUBLIC HEALTHCARE ORGANIZATIONS IN WEST POKOT COUNTY, KENYA

article en

Abstract

Abstract: Kenya's healthcare sector plays a crucial role in economic growth and the realization of Vision 2030. Public healthcare organizations in West Pokot County, however, face sustainability challenges, including inadequate financial resources, staff turnover, weak health systems, and patient non-payment. This study investigated how strategic innovation affected the sustainability of these facilities, focusing on business model, process, service and technological innovations. The study was anchored on the organizational innovation theory, disruptive innovation theory, dynamic capabilities theory, and the balanced-score card model. The research involved 438 employees and a sample size of 209 from the five healthcare facilities (Kapenguria county referral hospital, Kacheliba, Kabichichi, Chepareria and Sigor sub-county hospitals), using stratified simple random sampling technique and a descriptive research design. Data was collected using structured questionnaires and analyzed using SPSS v29, with multiple linear regression to determine relationships between variables. Analysis of data was done using descriptive and inferential statistics. The study findings revealed the existence of a statistically significant regression effect of independent variables sustainability of public healthcare facilities in West Pokot County, Kenya. The study findings indicated that the multiple regression model significantly predicted how the independent variables affected the dependent variable (sustainability of public healthcare facilities) which indicated an overall statistically significant model with business model innovation 35.6%, (t~3.056) of sustainability of public healthcare facilities in West Pokot County, Kenya. The study further recommended on each of the variables for management and policy consideration in future decision making processes. The findings were expected to be of importance to policy formulation and future scholarly work in strategic innovation and in the field of strategic management as a whole. Keywords: healthcare sector, healthcare organizations, economic growth. Title: STRATEGIC INNOVATION AND SUSTAINABILITY OF PUBLIC HEALTHCARE ORGANIZATIONS IN WEST POKOT COUNTY, KENYA Author: Elijah Kagen Chebii, Dr. Julius Miroga International Journal of Recent Research in Commerce Economics and Management (IJRRCEM) ISSN 2349-7807 Vol. 12, Issue 3, July 2025 - September 2025 Page No: 70-79 Paper Publications Website: www.paperpublications.org Published Date: 24-September-2025 DOI: https://doi.org/10.5281/zenodo.17194816 Paper Download Link (Source) https://www.paperpublications.org/upload/book/STRATEGIC%20INNOVATION%20AND%20SUSTAINABILITY-24092025-2.pdf

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Autopsy Techniques and Outcomes
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