What question did this study set out to answer?

The study aims to create and assess a time-series forecasting model for measuring the adoption rate of advanced process-control systems in South Africa.

March 13, 2026Open Access

Methodological Evaluation of Process-Control Systems in South Africa: A Time-Series Forecasting Model for Adoption Rate Measurement, 2000–2026

View Full Paper

Ask AI

Bookmark

The study aims to create and assess a time-series forecasting model for measuring the adoption rate of advanced process-control systems in South Africa.
Conducted a longitudinal analysis of industry procurement data from 2000 to 2026.
Integrated an autoregressive integrated moving average (ARIMA) model with a technological readiness index.
Estimated model parameters using maximum likelihood and assessed robustness via rolling-origin evaluation.
Forecasted a compound annual growth rate of approximately 8.7% in adoption rates.
The technological readiness index was a significant predictor of adoption (p < 0.01).
Model diagnostics showed no significant residual autocorrelation, supporting its validity.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

This case study develops a time-series model to measure adoption rates of process-control systems, highlighting its implications for industry strategy.

Cite This Study

Naidoo et al. (2003) studied this question.

synapsesocial.com/papers/69b3ac0a02a1e69014ccd66e https://doi.org/10.5281/zenodo.18965968

View Full Paper

Ask AI

Bookmark

Implication

This case study develops a time-series model to measure adoption rates of process-control systems, highlighting its implications for industry strategy.

Methodological Evaluation of Process-Control Systems in South Africa: A Time-Series Forecasting Model for Adoption Rate Measurement, 2000–2026

Key Points

Discussion

Implication

Cite This Study

Methodological Evaluation of Process-Control Systems in South Africa: A Time-Series Forecasting Model for Adoption Rate Measurement, 2000–2026

Key Points

Discussion

Implication

Cite This Study

Keep reading

Keep reading