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Corporate Social Responsibility Trends in the Airline Industry: A Bibliometric Analysis

Author

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  • Kaisa Sorsa

    (Faculty of Engineering and Business-Master School, University of Applied Sciences, 20520 Turku, Finland)

  • Carolina Bona-Sánchez

    (Department of Financial Economics and Accounting, University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain)

Abstract

The aim of this study is to perform a bibliometric analysis of corporate social responsibility (CSR) research in the airline industry, underscoring current developments and future trends. Utilizing open-source R software (version 4.2.3), including the Bibliometrix R library (version 4.1.4) and VOSviewer (version 1.6.20), this study notes a significant rise in CSR research. It highlights influential studies, leading scholars, and key journals in the field. The co-word analysis shows CSR’s impact on efficiency, value, employee perceptions, and customer loyalty. Post-COVID trends indicate an expanded focus on health, safety, and environmental, social, and governance (ESG) factors. The research suggests a shift towards integrated CSR strategies in the airline industry, emphasizing sustainability, stakeholder inclusion, and transparent reporting. This shift marks a movement towards more comprehensive and effective CSR approaches in stakeholder communication.

Suggested Citation

  • Kaisa Sorsa & Carolina Bona-Sánchez, 2024. "Corporate Social Responsibility Trends in the Airline Industry: A Bibliometric Analysis," Sustainability, MDPI, vol. 16(7), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2709-:d:1363778
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    References listed on IDEAS

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    2. Tsai, Wen-Hsien & Hsu, Jui-Ling, 2008. "Corporate social responsibility programs choice and costs assessment in the airline industry—A hybrid model," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 188-196.
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    9. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2022. "Does primary stakeholder management improve competitiveness? A dynamic network non-parametric frontier approach," Economic Modelling, Elsevier, vol. 116(C).
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