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Key performance indicators for developing environmentally sustainable and energy efficient ports: Evidence from Italy
handle: 11367/69549
Abstract In the last three decades, scholars and operators have paid increasing attention to the environmental sustainability and energy efficiency of seaports. To achieve high competitiveness in seaports in response to environmental and energy regulation, port authorities (PAs), policymakers, port users and local communities have to invest considerable resources. This paper investigates the role of the managerial instruments in the decision-making processes of PAs for reducing and preventing negative environmental and energy effects from ports. This research consists of a two-step study. First, we conduct a literature review to analyse the academic views by systematically reading the reports to investigate practitioners’ views on the performance indicators for environmental sustainability and energy efficiency in the port industry. Second, we provide, through a qualitative method, a portrait of the Italian seaports and a multiple case study to confirm the developed conceptual managerial key performance indicators (KPIs). Specifically, applying the Balanced Scorecard model, this paper provides managerial KPIs to support PAs in their decision-making processes within the inter-organizational relationships with shipping lines for developing environmentally sustainable and energy efficient ports.
Managerial key performance indicators; Environmental sustainability; Energy efficiency; Port authorities; Decision-making process.
Managerial key performance indicators; Environmental sustainability; Energy efficiency; Port authorities; Decision-making process.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).120 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
