Port Supply chain Performance Measurement: Stakeholder-Centric Decision Model

Abstract

Grounding itself in Peter Drucker's adage "What gets measured gets managed," this study presents a novel, data-driven model for evaluating port performance at the port of Casablanca. The model adopts a survey of 112 companies operating within the port, encompassing various stakeholder groups such as shipping lines, terminal operators, etc. Univariate analysis was employed to identify the key performance indicators (KPIs) most relevant to port performance measurement. Cronbach's alpha ensured the reliability of these data, which then formed the foundation for a decision tree model constructed using the QUEST (Quick, Unbiased, Efficient Statistical Tree) method, a decision-making tool. This model offers a comprehensive understanding of performance by integrating the main stakeholder`s perspectives. This data-driven approach empowers port authorities to make informed decisions that address stakeholder concerns and, ultimately, enhance overall port performance.