Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital
This study aims to analyze the efficiency of global airlines by incorporating innovation capital into a two-stage dynamic network data envelopment analysis (DEA) framework. This paper addresses these concerns by developing a dynamic network DEA model that considers the interconnectedness between air...
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my.uniten.dspace-364112025-03-03T15:42:18Z Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital Abdul Rashid A. See K.F. Yu M.-M. 36968755400 53464206000 7404273246 Air transportation Competition Data envelopment analysis Airline efficiency Analysis frameworks Carry-over effects Data envelopment analysis models Dynamic network Innovation capital Network data Network data envelopment analyse Performance Production stage airline industry capital data envelopment analysis efficiency measurement innovation sustainability Efficiency This study aims to analyze the efficiency of global airlines by incorporating innovation capital into a two-stage dynamic network data envelopment analysis (DEA) framework. This paper addresses these concerns by developing a dynamic network DEA model that considers the interconnectedness between airlines' internal processes and the carry-over effects between time periods. It incorporates the dynamic impact of shared carry-over items, enabling accurate computation of efficiency scores for these two stages. The study divides the airline operation system into two stages: production stage and service stage, where intertemporal shared innovation capital occurs. The results reveal that, despite majority airlines prioritizing the service stage, production stage contributed most to overall efficiency. In terms of periodic results, the efficiency score of airlines in 2017 is marginally higher compared to 2016 and 2018, respectively. In general, airlines place a slightly greater emphasis on service stage than production stage. Innovation is essential for airlines to achieve a sustainable competitive advantage. Despite considerable interest in analyzing performance, this is one of the first studies to incorporate innovation capital in airline efficiency studies. The proposed model can help airline managers, regulators, and policymakers measure performance reliably and improve airline efficiency and sustainability. ? 2024 Elsevier Inc. Final 2025-03-03T07:42:18Z 2025-03-03T07:42:18Z 2024 Article 10.1016/j.techfore.2024.123457 2-s2.0-85197296843 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197296843&doi=10.1016%2fj.techfore.2024.123457&partnerID=40&md5=96e26100c2accd05364841532f433d64 https://irepository.uniten.edu.my/handle/123456789/36411 206 123457 Elsevier Inc. Scopus |
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Air transportation Competition Data envelopment analysis Airline efficiency Analysis frameworks Carry-over effects Data envelopment analysis models Dynamic network Innovation capital Network data Network data envelopment analyse Performance Production stage airline industry capital data envelopment analysis efficiency measurement innovation sustainability Efficiency |
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Air transportation Competition Data envelopment analysis Airline efficiency Analysis frameworks Carry-over effects Data envelopment analysis models Dynamic network Innovation capital Network data Network data envelopment analyse Performance Production stage airline industry capital data envelopment analysis efficiency measurement innovation sustainability Efficiency Abdul Rashid A. See K.F. Yu M.-M. Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital |
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This study aims to analyze the efficiency of global airlines by incorporating innovation capital into a two-stage dynamic network data envelopment analysis (DEA) framework. This paper addresses these concerns by developing a dynamic network DEA model that considers the interconnectedness between airlines' internal processes and the carry-over effects between time periods. It incorporates the dynamic impact of shared carry-over items, enabling accurate computation of efficiency scores for these two stages. The study divides the airline operation system into two stages: production stage and service stage, where intertemporal shared innovation capital occurs. The results reveal that, despite majority airlines prioritizing the service stage, production stage contributed most to overall efficiency. In terms of periodic results, the efficiency score of airlines in 2017 is marginally higher compared to 2016 and 2018, respectively. In general, airlines place a slightly greater emphasis on service stage than production stage. Innovation is essential for airlines to achieve a sustainable competitive advantage. Despite considerable interest in analyzing performance, this is one of the first studies to incorporate innovation capital in airline efficiency studies. The proposed model can help airline managers, regulators, and policymakers measure performance reliably and improve airline efficiency and sustainability. ? 2024 Elsevier Inc. |
| author2 |
36968755400 |
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36968755400 Abdul Rashid A. See K.F. Yu M.-M. |
| format |
Article |
| author |
Abdul Rashid A. See K.F. Yu M.-M. |
| author_sort |
Abdul Rashid A. |
| title |
Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital |
| title_short |
Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital |
| title_full |
Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital |
| title_fullStr |
Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital |
| title_full_unstemmed |
Measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital |
| title_sort |
measuring airline efficiency using a dynamic network data envelopment analysis in the presence of innovation capital |
| publisher |
Elsevier Inc. |
| publishDate |
2025 |
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1825816105747218432 |
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13.244413 |