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Opis bibliograficzny
Główni autorzy: Maseko, Sifiso, Ngubane, Natalya
Format: Recurso digital
Język:angielski
Wydane: Zenodo 2013
Hasła przedmiotowe:
Dostęp online:https://doi.org/10.5281/zenodo.18996021
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_version_ 1866901215263064064
author Maseko, Sifiso
Ngubane, Natalya
author_facet Maseko, Sifiso
Ngubane, Natalya
contents <p>Process-control systems are essential for enhancing efficiency and reducing risks in various industries, including telecommunications engineering. In South Africa, these systems have been implemented to manage operational processes more effectively. This study employs a difference-in-differences (DiD) econometric model to analyse the implementation of process-control systems in South African telecommunications, aiming to quantify their effect on reducing operational risks. The DiD model will compare treated and control groups over time to isolate the impact attributed to system changes. The analysis revealed a significant reduction in risk levels by approximately 30% for the telecommunication networks implementing process-control systems compared to those without, indicating positive outcomes from these interventions. This study validates the efficacy of DiD methodology for evaluating the impact of process-control systems on operational risks. The findings suggest substantial benefits in terms of risk reduction and support further implementation strategies. Telecommunication companies should consider adopting process-control systems based on this evidence, alongside continuous monitoring and improvement to maximise their risk mitigation capabilities. Process-Control Systems, Risk Reduction, Difference-in-Differences, South Africa, Telecommunications Engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
format Recurso digital
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institution Zenodo
language eng
publishDate 2013
publisher Zenodo
record_format zenodo
spellingShingle Methodological Evaluation of Process-Control Systems in South Africa Using Difference-in-Differences for Risk Reduction Analysis
Maseko, Sifiso
Ngubane, Natalya
African Geography
Process Control Systems
Difference-in-Differences
Econometrics
Time Series Analysis
Quality Improvement
Risk Management
<p>Process-control systems are essential for enhancing efficiency and reducing risks in various industries, including telecommunications engineering. In South Africa, these systems have been implemented to manage operational processes more effectively. This study employs a difference-in-differences (DiD) econometric model to analyse the implementation of process-control systems in South African telecommunications, aiming to quantify their effect on reducing operational risks. The DiD model will compare treated and control groups over time to isolate the impact attributed to system changes. The analysis revealed a significant reduction in risk levels by approximately 30% for the telecommunication networks implementing process-control systems compared to those without, indicating positive outcomes from these interventions. This study validates the efficacy of DiD methodology for evaluating the impact of process-control systems on operational risks. The findings suggest substantial benefits in terms of risk reduction and support further implementation strategies. Telecommunication companies should consider adopting process-control systems based on this evidence, alongside continuous monitoring and improvement to maximise their risk mitigation capabilities. Process-Control Systems, Risk Reduction, Difference-in-Differences, South Africa, Telecommunications Engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
title Methodological Evaluation of Process-Control Systems in South Africa Using Difference-in-Differences for Risk Reduction Analysis
topic African Geography
Process Control Systems
Difference-in-Differences
Econometrics
Time Series Analysis
Quality Improvement
Risk Management
url https://doi.org/10.5281/zenodo.18996021