The sustainability impact of air transportation has become crucial to communities. Airports around the world are forced to be transparent with the society and to declare their sustainability results. As the sustainability goals and objectives and due to its multi‐dimension aspects that are needed to be decided of and subsequently improved, the decision has been taken, and the parameters have been selected due to its significance in this field. This research presents a managerial approach combining the optimization‐based frontier approach with the Global Report Initiative's comprehensive sustainability database for selected 30 major international airports based on data availability. In this regard, eco‐efficiency analysis is carried out with four different models using input‐oriented modeling with multiple undesirable environmental inputs (energy, carbon, water, and waste) and desirable outputs (revenue, passenger and employment) to compare efficiency and sustainability levels of airports in different contexts. Finally, performance improvement targets of each environmental indicators are presented for the airports. These comparative models reveal different frontier airports, which provide the opportunity to analyze diversified reference points for the same decision‐making unit. The presented statistical study has shown that San Francisco, Hong Kong, Hamad International Airport are the most efficient airports in terms of overall sustainability performance based on collected data and selected indicators. The authors also concluded that there is a discrepancy in sustainability data reporting between airports, and there is a need for collecting complete, consistent and real‐time social, environmental, economic, and governance data, to better compare and evaluate the performance of each airport from a sustainability perspective.
Purpose
The purpose of this paper is to concentrate on measuring and evaluating the performance efficiency of electrical machinery manufacturing small- and medium-sized enterprises (SMEs) in Turkey. The industry-based efficiency evaluation provides management with information including the relatively best practice firms in the observation sets and locates the relatively inefficient firms by comparing with the frontiers.
Design/methodology/approach
In this study, an evaluation model, based on previous literature and recent industry SWOT analysis, is proposed to carry out efficiency analysis for electrical machinery manufacturing SMEs and output-oriented CCR data envelopment analysis methodology is used to find out frontier SMEs. The proposed efficiency measurement model is used for 93 SMEs from electrical machinery manufacturing sector.
Findings
Rely on the model results, efficiency score of the firms are compared and enhancements required for becoming an efficient unit are denoted. This study is based on previous research model that was carried out for ten different industries. The results indicated that 39 out of 93 companies efficiently performed in general perspective. The analysis also resulted that firms have significant resource excesses and shortages on outputs.
Originality/value
The distinguished way of this study is to evaluate Turkish electrical machinery manufacturing companies’ resources relying on performance efficiency model that compromises of strategic competitive priorities and also the model provides enhancement opportunities to SMEs for being more competitive in the sector. The characteristics features of the firms are offered with respect to demographic, financial and quality perspectives.
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