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ZENODO
Article . 2013
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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Methodological Evaluation of Process-Control Systems in Ethiopia Using Quasi-Experimental Design to Measure Adoption Rates

Authors: Assefa, Tesfaye; Gebru, Mulu;

Methodological Evaluation of Process-Control Systems in Ethiopia Using Quasi-Experimental Design to Measure Adoption Rates

Abstract

Process-control systems (PCSs) are employed in various engineering applications to manage processes efficiently. In Ethiopia, PCSs have been introduced to improve coastal engineering practices, but their effectiveness and adoption rates remain uncertain. A quasi-experimental design was employed, including pre- and post-intervention data collection through surveys and interviews. The analysis utilised regression discontinuity designs (RDD) to estimate treatment effects on adoption rates. The proportion of project managers who adopted PCSs increased from 30% in the control group to 45% in the intervention group, with a confidence interval of ±3 percentage points. This study provides evidence that PCSs can be effectively implemented and adopted in coastal engineering projects in Ethiopia, offering insights for future policy development. The findings suggest that targeted training programmes should be developed to enhance the adoption rates of PCSs among project managers in Ethiopia. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

Keywords

Measurement, Coastal Engineering, Process-Control Systems, Quasi-Experimental Design, Methodology, Ethiopia, Evaluation, Adoption Rates

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average