What question did this study set out to answer?

To replicate previous research on forecasting adoption rates of process-control systems using time-series models.

March 2, 2026Open Access

Time-Series Forecasting Model for Adoption Rates in South Africa: A Replication Study of Process-Control Systems

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To replicate previous research on forecasting adoption rates of process-control systems using time-series models.
Employed an autoregressive integrated moving average (ARIMA) model for analysis
Utilized historical data from South Africa
Chosen ARIMA(1,1,1) for its predictive capabilities
Conducted robustness checks using heteroskedasticity-consistent errors
The ARIMA(1,1,1) model accurately predicted adoption rate trends
Achieved a confidence interval of ±2% around forecasted values
Confirmed predictive accuracy for time-series forecasting of process-control systems' adoption rates

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A replication study employing ARIMA models predicts adoption rates in South Africa, suggesting broader application implications.

Sekhukweni et al. (2005) studied this question.

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