Digital technologies such as Manufacturing Execution Systems (MES) and Smart Factory solutions are increasingly being adopted to improve visibility, productivity, quality, and decision-making within manufacturing organisations. However, digital transformation initiatives often involve multiple stakeholder groups with different expectations regarding what constitutes success. Understanding these expectations early in the implementation process can help organisations align priorities, improve communication, and support more effective technology adoption.

To address this challenge, we developed a structured decision-making approach using the Analytic Hierarchy Process (AHP). Through pairwise comparison, the tool enables participants to evaluate and prioritise a range of business, operational, and human-centred outcomes associated with digital technology adoption. The process provides a transparent mechanism for capturing and comparing perspectives across stakeholder groups.