Enterprise systems and performance of future city logistics

Abstract

Future cities are driven by the developments in Information and Communication Technology to support the triple bottom line requirements of sustainability. Logistics will play a critical role in future cities due to the increasingly micro-dynamic nature of socio-economics of these cities and globalised production and consumption patterns. Enterprise systems (ES), the founding applications to automate and integrate different business processes, will be the key enablers for providing the necessary support required by the future city logistics. However, the implementation of ES and realisation of proposed benefits within the estimated time frame is challenging due to the huge resource requirements in terms of manpower, budget and time. This study takes the antecedent (critical success factors) approach for the implementation process to establish a success predictive model for the realisation of ES benefits. The partial least square regression has been used to test the model. Moreover, this study explores the impact of ES benefits on the logistics performance indicators to explore the synergies between them. This is fundamentally important because future city logistics will rely heavily on appropriately designed and implemented (enterprise) information systems.

Keywords:

• Future/smart cities
• logistics performance indicators (LPI)
• partial least square (PLS) regression
• structural equation modelling (SEM)
• critical success factor (CSF)
• enterprise systems (ES)
• ES benefits

Acknowledgment

The authors are thankful to the guest editors and reviewers for their valuable inputs that helped improve this paper.