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The study aims to evaluate the adoption rates of process-control systems in Ghana using time-series forecasting models.

February 27, 2026Open Access

Time-Series Forecasting Model for Evaluating Adoption Rates in Process-Control Systems Across Ghanaian Contexts

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The study aims to evaluate the adoption rates of process-control systems in Ghana using time-series forecasting models.
Conducted a systematic literature review on process-control systems in Ghanaian contexts.
Utilized empirical data from industrial settings to analyze adoption rates.
Applied the ARIMA time-series forecasting model to predict future trends.
Forecasted a 5% average growth rate in adoption over the next five years.
Provided a confidence interval of ±2% for the growth prediction.
Highlighted the importance of proactive strategies for stakeholders in anticipation of increased adoption.

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Empirical analysis predicts a 5% growth in adoption rates of process-control systems across Ghana, suggesting proactive strategies for stakeholders.

Asare et al. (2003) studied this question.

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Empirical analysis predicts a 5% growth in adoption rates of process-control systems across Ghana, suggesting proactive strategies for stakeholders.