Engaging Employees with Good Sustainability: Key Performance Indicators for Dry Ports

Abstract

Dry ports have the potential to enhance the sustainability of transport systems, yet their introduction requires major changes to the current logistics chain. Further, emphasising sustainability goals and continued employee engagement can be a challenge when developing or implementing organisational change management programs in dry ports. Key considerations include governmental requirements and compliance, investor expectations, as well as employee engagement; these factors may be conflicting. The top-down management approach supported by strong leadership, participative approaches and constant communication assists in achieving successful change management. Sound selection of key performance indicators (KPIs) provides a set of metrics to track and aid the change process. They serve as a unifying link between top managements’ sustainability goals and employees’ engagement. The initial findings of our research confirm that both port and terminal operators have a gap in their understanding of the importance of sustainability goals and environmental goals. This will have a flow-on effect of port and terminal operators not driving the right messages to their staff in their organisational change management programs. Based on a critical literature review, it has been established what might qualify as good sustainability KPIs for dry ports. An example of a dry port at the Port of Somerton has been included. As every dry port has different requirements and constraints, it is important to develop KPIs together with stakeholders.

Systematic Review of Literature on Dry Port Concept Evolution

“…Durability/Sustainability 15 (Cullinane and Wilmsmeier, 2011), (Beresford et al, 2012), , (Wu et al, 2014), ), (Awad-Núñez et al, 2015, (Awad-Núñez et al, 2016a), (Awad-Núñez et al, 2016b, (Vejvar et al, 2018), (Muravev et al, 2019), (Ližbetin, 2019), , (Wei and Sheng, 2017), (Hui et al, 2019), (Wiercx et al, 2019), .…”

Analytic Hierarchy of Motivating and Demotivating Factors Affecting Labor Productivity in the Construction Industry: The Case of Azerbaijan

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Application of AHP for the Weighting of Sustainable Development Indicators at the Subnational Level

“…For the indicator selection stage, indicators must offer an estimation of a specific region's ability to implement the SDGs for sustainable development assessment (State et al 2019) and must quantify both the determinants and the final impacts of sustainability (Hui et al 2019). Likewise, indicators must be meaningfully used from the perspective of sus- The Aburrá Valley has an information center called Metropolitan Information Observatory (MIO) that is in charge of presenting the analysis, processing, and interpretation of indicators that support the institutional management and regional planning, focusing on subjects such as planning and territory, environment, mobility, quality of life, and institutions (AMVA 2019).…”