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An Analysis of Factors Influencing Green Purchase Intention in Airlines: An Interpretive Structural Modeling Approach

An Analysis of Factors Influencing Green Purchase Intention in Airlines: An Interpretive Structural Modeling Approach

Mahmut Bakır, Nadjim Mkedder
ISBN13: 9781668468357|ISBN10: 1668468352|ISBN13 Softcover: 9781668468364|EISBN13: 9781668468371
DOI: 10.4018/978-1-6684-6835-7.ch011
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MLA

Bakır, Mahmut, and Nadjim Mkedder. "An Analysis of Factors Influencing Green Purchase Intention in Airlines: An Interpretive Structural Modeling Approach." Challenges and Opportunities for Aviation Stakeholders in a Post-Pandemic World, edited by Salim Kurnaz, et al., IGI Global, 2023, pp. 218-234. https://doi.org/10.4018/978-1-6684-6835-7.ch011

APA

Bakır, M. & Mkedder, N. (2023). An Analysis of Factors Influencing Green Purchase Intention in Airlines: An Interpretive Structural Modeling Approach. In S. Kurnaz, A. Rodrigues, & D. Bowyer (Eds.), Challenges and Opportunities for Aviation Stakeholders in a Post-Pandemic World (pp. 218-234). IGI Global. https://doi.org/10.4018/978-1-6684-6835-7.ch011

Chicago

Bakır, Mahmut, and Nadjim Mkedder. "An Analysis of Factors Influencing Green Purchase Intention in Airlines: An Interpretive Structural Modeling Approach." In Challenges and Opportunities for Aviation Stakeholders in a Post-Pandemic World, edited by Salim Kurnaz, Antonio Rodrigues, and Dorothea Bowyer, 218-234. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6835-7.ch011

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Abstract

This chapter intends to investigate the factors influencing the green purchase intention of passengers in the context of the airline industry and to develop a hierarchical interdependencies model among these factors. To this end, consensus-based interviews with academic experts were conducted. Drawing on a total of 8 factors defined, interpretive structural modeling (ISM) created a hierarchical model. The Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis was additionally applied to validate the ISM model and determine the driving and dependence power of each factor. In terms of influencing green purchasing intention, the results demonstrated that perceived consumer effectiveness, subjective norm, environmental knowledge, environmental awareness, and environmental concern were at the root of the hierarchical model, and green image was at the top. In order to manage passengers' green purchase intentions, policymakers and marketers could benefit from the ISM model designed to comprehend the interdependencies between factors.

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