Text mining on sustainability reports of top 40 airlines and bibliometric analysis of airline's sustainability

Yıl 2024, Cilt: 7 Sayı: 2, 186 - 193, 30.06.2024

İbrahim Şapaloğlu

https://doi.org/10.35208/ert.1366703

Öz

This study aims to comprehensively explore sustainability practices, guidelines, and emerging trends in the airline industry through an in-depth analysis of their sustainability reviews. A thorough bibliometric analysis of airline sustainability was conducted using the Scopus Database. Additionally, employing text-mining techniques, a meticulous analysis focused on the sustainability reports of the leading 20 airlines compared to the subsequent 20, considered as followers, in the textual examination of sustainability reports. The results revealed thematic disparities between these two cohorts.
The top 20 airlines prioritized significant concerns such as safety and other sustainability-related aspects like biodiversity. In contrast, follower companies placed a higher emphasis on financial considerations. This analysis illuminates the primary focuses of airlines and the spectrum of sustainability-related issues. Moreover, offering valuable insights for both researchers and industry practitioners, this study presents a repository of pertinent data related to sustainability practices in the aviation sector. Integrating text mining and bibliometric analysis emphasizes essential facets of airline sustainability, resulting in a comprehensive overview of the research landscape.

Anahtar Kelimeler

Sustainability, SDG, text mining, civil aviation

Kaynakça

• R. Wüstenhagen and M. Starik, “Sustainable Innovation and Entrepreneurship Reducing permitting risks of large wind energy projects in Switzerland View project UNISG former research work View project,” Edward Elgar Publishing Limited, 2008. [CrossRef]
• A. Hadi-Vencheh, P. Wanke, A. Jamshidi, and Z. Chen, “Sustainability of Chinese airlines: A modified slack-based measure model for CO2 emissions,” in Expert Systems, Blackwell Publishing Ltd, 2020.
• M. Efthymiou, and A. Papatheodorou, “EU Emissions Trading Scheme in aviation: Policy analysis and suggestions,” Journal of Cleaner Production, Vol. 237, Article 117734, 2019. [CrossRef]
• D. L. Brown, R. P. Guidry, and D. M. Patten, “Sustainability reporting and perceptions of corporate reputation: An analysis using fortune,” in Sustainability, environmental performance and disclosures, Emerald Group Publishing Limited, 2009. [CrossRef]
• Zimon, A. Arianpoor, and M. Salehi, “Sustainability reporting and corporate reputation: the moderating effect of CEO opportunistic behavior,” Sustainability, Vol. 14(3), Article 1257, 2022. [CrossRef]
• Y. A. Abbas, W. Mehmood, Y. Y. Lazim, and A. Aman-Ullah, “Sustainability reporting and corporate reputation of Malaysian IPO companies,” Environmental Science and Pollution Research, Vol. 29(52), pp. 78726–78738, 2022. [CrossRef]
• M. D. Odriozola, and E. Baraibar‐Diez, “Is corporate reputation associated with quality of CSR reporting? Evidence from Spain,” Corporate Social Responsibility and Environmental Management, Vol. 24(2), pp. 121–132, 2017. [CrossRef]
• D. L. Brown, R. P. Guidry, and D. M. Patten, “Sustainability reporting and perceptions of corporate reputation: An analysis using fortune,” in Sustainability, environmental performance and disclosures, Emerald Group Publishing Limited, 2009. [CrossRef]
• A. Hadi-Vencheh, P. Wanke, A. Jamshidi, and Z. Chen, “Sustainability of Chinese airlines: A modified slack-based measure model for CO2 emissions,” Expert Systems, Vol. 37(3), Article e12302, 2020. [CrossRef]
• M. S. Fifka, “Corporate Responsibility Reporting and its Determinants in Comparative Perspective – a Review of the Empirical Literature and a Meta-analysis,” Business Strategy and the Environment, Vol. 22(1), pp. 1–35, 2013. [CrossRef]
• M. Zieba, and E. Johansson, “Sustainability reporting in the airline industry: Current literature and future research avenues,” Transportation Research Part D: Transport and Environment, Vol. 102, Article 103133, 2022. [CrossRef]
• P. Bansal, and G. Kistruck, “Seeing is (not) believing: Managing the impressions of the firm’s commitment to the natural environment,” Journal of Business Ethics, Vol. 67, pp. 165–180, 2006.
• T. Kaşikçi, and H. Gökçen, “Metin Madenciliği ile E-Ticaret Sitelerinin Belirlenmesi,” Bilişim Teknolojileri Dergisi, Vol. 7(1), pp. 2532, 2014.
• G.-H. Seo, and M. Itoh, “Perceptions of customers as sustained competitive advantages of global marketing airline alliances: A hybrid text mining approach,” Sustainability, Vol. 12(15), Article 6258, 2020.
• X. Tian, W. He, C. Tang, L. Li, H. Xu, and D. Selover, “A new approach of social media analytics to predict service quality: evidence from the airline industry,” Journal of Enterprise Information Management, Vol. 33(1), pp. 51–70, 2020. [CrossRef]
• L. M. de Menezes, A. B. Escrig-Tena, and J. C. Bou-Llusar, “Sustainability and Quality Management: has EFQM fostered a Sustainability Orientation that delivers to stakeholders?,” International Journal of Operations & Production Management, Vol. 42(13), pp. 155–184, 2022. [CrossRef]
• X. Zhang, “Communicating social responsibilities through CSR reports: Comparative study of top European and Asia-Pacific airlines,” PLoS One, Vol. 16(10), Article e0258687, 2021. [CrossRef]
• L. Yang, C. S. B. Ngai, and W. Lu, “Changing trends of corporate social responsibility reporting in the world-leading airlines,” PLoS One, Vol. 15(6), pp. e0234258, 2020. [CrossRef]
• E. P. Paraschi, “Why ESG Reporting is Particularly Important for the Airlines during the Covid-19 Pandemic,” Journal of Business and Management Studies, Vol. 4(3), pp. 6367, 2022. [CrossRef]
• D. Kim, and S. Kim, “Sustainable supply chain based on news articles and sustainability reports: Text mining with Leximancer and DICTION,” Sustainability (Switzerland), Vol. 9(6), Article 1008, 2017. [CrossRef]
• W. Te Liew, A. Adhitya, and R. Srinivasan, “Sustainability trends in the process industries: A text mining-based analysis,” Computers in Industry, Vol. 65(3), pp. 393–400, 2014. [CrossRef]
• J. R. Modapothala, and B. Issac, “Study of economic, environmental and social factors in sustainability reports using text mining and Bayesian analysis,” in 2009 IEEE Symposium on Industrial Electronics & Applications, pp. 209–214, 2009. [CrossRef]
• Y. Zhou, X. Wang, and K. F. Yuen, “Sustainability disclosure for container shipping: A text-mining approach,” Transport Policy (Oxford), Vol. 110, pp. 465–477, 2021.
• M. Kılıç, A. Uyar, and A. S. Karaman, “What impacts sustainability reporting in the global aviation industry? An institutional perspective,” Transport Policy (Oxford), Vol. 79, pp. 54–65, 2019. [CrossRef]
• S. Vijayarani, and R. Janani, “Text mining: open source tokenization tools-an analysis,” Advanced Computational Intelligence: An International Journal, Vol. 3(1), pp. 37–47, 2016. [CrossRef]
• D. Munková, M. Munk, and M. Vozár, “Data pre-processing evaluation for text mining: transaction/sequence model,” Procedia Computer Science, Vol. 18, pp. 1198–1207, 2013. [CrossRef]
• A. Correia, M. F. Teodoro, and V. Lobo, “Statistical methods for word association in text mining,” Recent Studies on Risk Analysis and Statistical Modeling, Springer, pp. 375–384, 2018. [CrossRef]
• P. T. Eles, B. Pennell, and M. Richter, “Assessing NATO policy alignment through text analysis: An initial study,” in 2016 International Conference on Military Communications and Information Systems (ICMCIS), IEEE, 2016, pp. 1–7. [CrossRef]
• M.-J. Kim, K. Ohk, and C.-S. Moon, “Trend analysis by using text mining of journal articles regarding consumer policy,” New Physics: Sae Mulli, Vol. 67(5), pp. 555–561, 2017. [CrossRef]
• V. Lertnattee and T. Theeramunkong, “Effect of term distributions on centroid-based text categorization,” Information Science (NY), Vol. 158, pp. 89–115, 2004. [CrossRef]
• J. Gadge, S. Sane, and H. B. Kekre, “N-layer approach to web information retrieval,” International Journal of Applied Information Systems, Vol. 5, pp. 45–49, 2013. [CrossRef]
• W. B. Croft, “Document Retrieval system,” Information Technology, Vol. 2, pp. 1–21, 1983.
• E. S. Negara, D. Triadi, and R. Andryani, “Topic modeling twitter data with latent Dirichlet allocation method,” in 2019 International Conference on Electrical Engineering and Computer Science (ICECOS), IEEE, 2019, pp. 386–390. [CrossRef]
• Y. Haralambous, “Text mining methods applied to mathematical texts,” 2012. Accessed on Jun 11, 2023. https://hal.science/hal-01864536
• I. Feinerer, K. Hornik, and D. Meyer, “Text mining infrastructure in R,” The Journal of Statistical Software, Vol. 25(5), pp. 1–54, 2008. [CrossRef]
• P. A. Khan, S. K. Johl, and S. Akhtar, “Firm sustainable development goals and firm financial performance through the lens of green innovation practices and reporting: a proactive approach,” Journal of Risk and Financial Management, Vol. 14(12), Article 605, 2021. [CrossRef]
• D. L. Ramos, S. Chen, A. Rabeeu, and A. B. Abdul Rahim, “Does SDG Coverage Influence Firm Performance?,” Sustainability, Vol. 14(9), Article 4870, 2022. [CrossRef]
• World Airline Awards, “World’s Top 100 Airlines 2022 | SKYTRAX.” Accessed on Jun 11, 2023. https://www.worldairlineawards.com/worlds-top-100-airlines-2022/