Performance assessment modeling for managing transport enterprises based on modified fuzzy TOPSIS analysis

Abstract

AbstractThe purpose of this paper is to develop a performance assessment modeling for managing transport enterprises and provide a framework that explains the conditions under which performance of enterprises optimized. In doing so, the multiples streams built upon the different stakeholders and shareholders as well as social actors play in the transport enterprise performance optimization. The novelty of this paper is the development of a computational modeling framework addressing the added value footprint by large transport operators providing mobility and accessibility to a regional economy. The analysis outputs promoting explanations towards operational efficiency and business productivity on one hand; and supporting decisions toward sustainable development, business intelligence and new investments on the other. The assessment methodology is based on "Fuzzy TOPSIS" modelling, where a series of key performance indicators have been introduced, providing results over time to assess business innovation and illustrate drivers of action towards sustainable development and business intelligence. Managerial implication of the paper is the development of a multi-objective assessment framework providing essential support for managing real business applications in transportation and support decisions towards resources optimization, adjustments in cooperate governance model and policies, assessment of new investments and short-term or/and long-term action plans.