The Influence Of Green Transportation And Gen Z Consumer Behavior On The Selection Of Biskita Trans Pakuan Transportation Mode
DOI:
https://doi.org/10.56910/ictmt.v1i2.95Keywords:
Path Analysis, Green Transportation, Gen Z Consumer Behaviour, Transportation Mode ChoiceAbstract
Concern over sustainable transportation is growing as the demand for environmentally friendly alternatives increases. This study examines the impact of green transportation and Gen Z consumer behaviour as independent variables on the choice of transportation mode. The findings correspond with other studies, emphasizing the importance of green transportation and consumer behaviour in affecting the mode of transportation chosen. The purpose is to examine the direct correlation between green transport and the behaviour of Gen Z consumers, considering them as independent variables that impact the choice of transportation mode as the dependent variable. The sample comprised participants who had utilised Biskita transport on at least one occasion. They were residents of Bogor city, born between 1996 and 2010. The study aimed to investigate the influence of green transportation and Gen Z consumer behaviour on mode choice. Path analysis was conducted in order to understand the direct effects of relationship between variables. Data analysis was carried out using Smart PLS software. This study is constrained by the limited amount of available data and a small sample size of participants. The results is green transportation and gen z consumer behaviour have a significant direct influence on transport mode choice. Green transportation is critical in providing information that increases consumer awareness of environmental issues and enables consumer behaviour to better respond to external pressures and encourages consideration of environmental issues when making decisions on the mode of transport used and implementing actions that increase the likelihood of achieving optimal mode choice.
Keywords: ; ; ;
References
Abdillah, W., & Hartono, J. (2021). Partial Least Square (PLS) - Alternatif Structural Equation Modeling (SEM) dalam penelitian Bisnis. Yogyakarta: ANDI.
Anwar, M. A., Dhir, A., Jabeen, F., Zhang, Q., & Siddiquei, A. N. (2023). Unconventional green transport innovations in the post-COVID-19 era. A . Journal of Business Research.
Aurelya, T., Nurhayati, & Purba, S. F. (2022, Desember). Pengaruh Kondisi Sektor Kesehatan terhadap Pertumbuhan Ekonomi di Indonesia. Jurnal STEI Ekonomi (JEMI), 31, 83-92. doi:https://doi.org/10.36406/jemi/v31i02.752
EduBirdie. (2022, October 28). Essay on Green Transportation and Its Key Benefits. Retrieved from https://edubirdie.com/examples/essay-on-green-transportation-and-its-key-benefits/
Ferguson, E. (2000). Travel Demand Management and Public Policy. England: Ashgate Publishing Ltd.
Ghozali, I. (2021). Partial Least Square: Konsep, Teknik, dan Aplikasi menggunakan Program SmartPLS 3.2.9. Semarang: Badan Penerbit Universitas Diponegoro.
Haryono, S. (2016). Metode SEM untuk Penelitian Manajemen AMOS LISREL PLS. Bekasi: PT. Intermedia Personalia Utama.
Higham, J., Cohen, S., Peeters, P., & Gossling, S. (2013). Psychological and Behavioural Approaches to Understanding and Governing Sustainable Mobility. Journal of Sustainable Tourism. doi:10.1080/09669582.2013.828733
I, G. (2021). Partial Least Squares: Konsep, Teknik, dan Aplikasi. Semarang: Badan Penerbit .
Kotler, P. (2000). Marketing Management. NJ: Prentice Hall.
Kotler, P., & Amstrong. (2008). Prinsip-prinsip Pemasaran. (12 ed., Vol. 1). Jakarta: Erlangga.
Lai, J. Y., Debbarma, S., & Ulhas, K. R. (2012). An empirical study of consumer switching behaviour towards mobile shopping: A push-pull-mooring model. International Journal of Mobile Communications, 386–404. doi:https://doi.org/10.1504/IJMC.2012.048137
Litman, T. (2013). Transportation affordability: Evaluation and Improvement Strategies.
Maryanta, M. (2005). Keputusan Penumpang dalam Memililh Jenis Angkutan Umum Bus untuk Tujuan Perjalanan ke Tempat Kerja di Kotamadya Jakarta Barat: Analisis Multinomial Logit [Institut Pertanian Bogor]. Retrieved from Repsoitory IPB: http://repository.ipb.ac.id/handle/123456789/9359
McKinsey. (2023). What is Gen Z : The Gen Z Equation. Retrieved from McKinsey and Company: https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-gen-z
Palupiningtyas, S. E. (2015). Potensi Pengembangan Trans Pakuan Sebagai Penerapan Konsep GReen Transportation di Kota Bogor. Puslitbang Perhubungan Darat.
Putra, A. Y., & Heryati. (2020). Manajemen Transportasi: Faktor-Faktor Pemilihan Moda Terhadap Kinerja Angkutan Melalui Kualitas Pelayanan LRT (Light Rail Transit) Pada Masyarakat Kota Palembang. Jurnal Manajemen dan Bisnis Sriwijaya, Vol.18 (3).
Sangadji, E. M., & Sopiah. (2013). Perilaku Konsumen Pendekatan Praktis Disertai Himpunan Jurnal Penelitian. Yogyakarta: CV Andi Offset.
Setiadi, N. (2003). Perilaku Konsumen (Perspektif Kontemporer pada Motif, Tujuan, dan Keinginan Konsumen. Jakarta: Prenamedia Group.
Sugiyono. (2021). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.
Tamin, O. (2000). Perencanaan dan Permodelan Transportasi. Bandung: Penerbit ITB.
Tedjokusumo, I. B. (2017). Analisis Sikap Konsumen Terhadap Program Corporate Social Responsibility (CSR) Berupa Donasi pada Bisnis Ritel Alfamart. Parsimonia, 121-131.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 INTERNATIONAL CONFERENCE ON DIGITAL ADVANCE TOURISM, MANAGEMENT AND TECHNOLOGY
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.