PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Evidence-Based Decision-Making in the Implementation of Devolved Functions: An Analysis of the Uptake of Research Findings, Innovations, and Technologies
Version 1
: Received: 1 October 2023 / Approved: 6 October 2023 / Online: 16 October 2023 (16:26:13 CEST)
How to cite:
Mogendi, J. B.; Wanyande, P.; Jonyo, F. O. Evidence-Based Decision-Making in the Implementation of Devolved Functions: An Analysis of the Uptake of Research Findings, Innovations, and Technologies. Preprints2023, 2023100967. https://doi.org/10.20944/preprints202310.0967.v1
Mogendi, J. B.; Wanyande, P.; Jonyo, F. O. Evidence-Based Decision-Making in the Implementation of Devolved Functions: An Analysis of the Uptake of Research Findings, Innovations, and Technologies. Preprints 2023, 2023100967. https://doi.org/10.20944/preprints202310.0967.v1
Mogendi, J. B.; Wanyande, P.; Jonyo, F. O. Evidence-Based Decision-Making in the Implementation of Devolved Functions: An Analysis of the Uptake of Research Findings, Innovations, and Technologies. Preprints2023, 2023100967. https://doi.org/10.20944/preprints202310.0967.v1
APA Style
Mogendi, J. B., Wanyande, P., & Jonyo, F. O. (2023). Evidence-Based Decision-Making in the Implementation of Devolved Functions: An Analysis of the Uptake of Research Findings, Innovations, and Technologies. Preprints. https://doi.org/10.20944/preprints202310.0967.v1
Chicago/Turabian Style
Mogendi, J. B., Peter Wanyande and Fred Opiyo Jonyo. 2023 "Evidence-Based Decision-Making in the Implementation of Devolved Functions: An Analysis of the Uptake of Research Findings, Innovations, and Technologies" Preprints. https://doi.org/10.20944/preprints202310.0967.v1
Abstract
This study is grounded on evidence-based decision-making in the implementation of devolved functions in Kenya. Promulgation of the constitution of Kenya 2010 set stage for devolution of functions, power, resources, and representation closer to the people. The researcher applies principles of technology acceptance modelling to investigate the extrinsic factors, Perceived-Ease-Of-Use, Perceived-Usefulness, attitudes, behavioural-intention and actual use of Research findings, Innovations and Technologies. Furthermore, the researcher applies contingent valuation technique to investigate cost-benefit analysis of using research findings, innovations and technologies. Multi-stage cluster sample of 156 managers from ten counties, randomly distributed in the six devolved functions that were randomly selected, including: agriculture, county health service, early childhood education and village polytechnic, natural resources and environment, county administration and governance, and county public works and services, took part in this study. Building on basic statistical analysis, structural equation modelling was employed to explain the adoption process. Results proved that all TAM model constructs were decisive in the adoption process. Furthermore, managers were willing to pay extra to optimize decision making and for accrued benefits on service delivery. Findings from this study are critical for stimulating the uptake of research findings, innovations, and technologies in making informed decisions for improved service delivery.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
