Understanding Ride-Hailing Adoption Among Generation Z in Malang

An Integrated TPB-TAM Framework

Authors

  • Amalia Romadhona Ghiffarri Putri Universitas Negeri Malang, Indonesia
  • Vertic Eridani Budi Darmawan Universitas Negeri Malang, Indonesia
  • Yuh Wen Chen Da-Yeh University, Taiwan

Keywords:

MGA-PLS, Ride Hailing, SEM-PLS, Technology Acceptance Model, Theory of Planned Behaviour

Abstract

This study examines the factors influencing the choice of ride-hailing modes among Generation Z (15-29 years old) in Malang City, given their dominance as the largest user group of ride-hailing services in Indonesia. The analysis will combine the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to understand the key drivers behind their decisions to use ride-hailing services. The study surveyed 406 respondents through purposive sampling, focusing on residents of Malang who actively use ride-hailing services such as Grab, Gojek, Maxim, or inDrive. SEM was used to explain the relationships among variables, whereas MGA-PLS was applied to analyze differences by gender and vehicle ownership. Results also show that Ease of Use (KPN) significantly influences Usefulness (K) of the ride-hailing service. While both variables also positively influence Attitudes toward ride-hailing, leading to a stronger Intention to choose these services. Furthermore, Attitude (S) and Subjective Norm (NS) appear to be significant predictors of Intention (N), which in turn has a substantial impact on Behavior. The MGA-PLS results indicate that females are more influenced by Ease of Use (KPN) and Usefulness (K), whereas car owners tend to rely more on Ease of Use (KPN) when assessing Usefulness (K). These findings not only strengthen the integrated TPB-TAM framework in the context of secondary cities in Indonesia but also offer practical insights for designing more targeted and inclusive ride-hailing strategies based on user demographics.

Downloads

Download data is not yet available.

Author Biographies

Amalia Romadhona Ghiffarri Putri, Universitas Negeri Malang, Indonesia

Department of Mechanical and Industrial Engineering, Universitas Negeri Malang.  Jl. Semarang 5 Malang 65145, Indonesia

Vertic Eridani Budi Darmawan, Universitas Negeri Malang, Indonesia

Department of Mechanical and Industrial Engineering, Universitas Negeri Malang. Jl. Semarang 5 Malang 65145, Indonesia

Yuh Wen Chen, Da-Yeh University, Taiwan

Department of Accounting Information, Da-Yeh University. No.168, University Rd., Dacun, Changhua 51591, Taiwan (R.O.C.).

References

[1] W. Allah, P. Catherine, and H. Aaron, “The influence of norms on tourist behavioural intentions,” J. Hosp. Tour. Manag., vol. 50, pp. 277–287, 2022, doi: https://doi.org/10.1016/j.jhtm.2022.02.023.

[2] R. Ardi, T. Widjaya, S. A. Putri, and D. H. Syaifullah, “Multi-generational analysis on behavioral intention to use public transportation using structural equation modeling: Evidence from Indonesia,” Int. J. Technol., vol. 15, no. 2, pp. 310–320, 2024, doi: https://doi.org/10.14716/ijtech.v15i2.6704.

[3] H. Nathalia and I. Irwansyah, “Aplikasi transportasi online GO-JEK bentuk dari konstruksi sosial teknologi dalam media baru,” Mediator: Jurnal Komunikasi, vol. 11, pp. 227–235, 2018, doi: https://doi.org/10.29313/mediator.v11i2.3737.

[4] Badan Pusat Statistik, “Jumlah penduduk menurut kelompok umur dan jenis kelamin di Kota Malang (jiwa), 2021–2023.” Accessed: February 8, 2024. [Online]. Available: https://malangkota.bps.go.id/

[5] G. Baskoro, I. Mariza, and I. N. Sutapa, “Innovation to improve critical thinking skills in the Generation Z using peeragogy as a learning approach and artificial intelligence (AI) as a tool,” Junal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 25, no. 2, pp. 121–130, 2023, doi: https://doi.org/10.9744/jti.25.2.121-130.

[6] M. Sedighi, H. Parsaeiyan, and Y. Araghi, “An empirical study of intention to continue using of digital ride-hailing platforms,” The Review of Socionetwork Strategies, vol. 15, no. 2, pp. 489–515, Oct. 2021, doi: https://doi.org/10.1007/s12626-021-00098-1.

[7] I. Ghozali and Fuad, Structural Equation Modelling: Teori, Konsep, dan Aplikasi dengan Program Lisrel 8.54. Semarang, Indonesia: Penerbit Universitas Diponegoro, 2021, ISBN: 978-704-300-2.

[8] G. Shmueli et al., “Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict,” Eur. J. Mark, vol. 53, no. 11, pp. 2322–2347, 2019, doi: https://doi.org/10.1108/ejm-02-2019-0189

[9] Go-Jek, “Kini Go-Jek hadir di 158 kota dan kabupaten Indonesia,” 2018. Accessed: February 5, 2024. [Online]. Available: https://www.gojek.com/blog/gojek/go-jek-dimana-mana

[10] P. Goel and P. Haldar, “Does India need a shared ride-hailing now more than ever? Understanding commuters’ intentions to share rides,” Asian J. Bus. Account., vol. 13, no. 2, pp. 277–305, 2020, doi: https://doi.org/10.22452/ajba.vol13no2.10.

[11] P. S. Lavieri, F. F. Dias, N. R. Juri, J. Kuhr, and C. R. Bhat, “A model of ridesourcing demand generation and distribution,” Transp. Res. Rec., vol. 2672, no. 46, pp. 31–40, 2018, doi: https://doi.org/10.1177/0361198118756628.

[12] J. F. Hair, G. T. Hult, C. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Cham, Switzerland: Springer Int. Publishing, 2017, ISBN: 978-1-5443-9640-8.

[13] J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” Eur. Bus. Rev., vol. 31, no. 1, pp. 2–24, 2019, doi: https://doi.org/10.1108/ebr-11-2018-0203.

[14] A. Tirachini, “Ride hailing, travel behaviour and sustainable mobility: An international review,” Springer US Transportation, vol. 47, no. 4, pp. 2011–2047, 2020, doi: https://doi.org/10.1007/s11116-019-10070-2.

[15] M. A. Javid, M. Abdullah, and N. Ali, “Travellers’ perceptions about ride-hailing services in Lahore: An extension of the theory of planned behavior,” Asian Transp. Stud., vol. 8, Jul. 2022, p. 100083, doi: https://doi.org/10.1016/j.eastsj.2022.100083.

[16] P. Haldar and P. Goel, “Willingness to use carsharing apps: An integrated TPB and TAM,” Int. J. Indian Cult. Bus. Manag., vol. 19, no. 2, pp. 129–147, 2019, doi: https://doi.org/10.1504/ijicbm. 2019.101743.

[17] Polling Institute, “Kenaikan tarif ojek online di mata pengguna dan pengemudi,” pp. 1–57, 2022. Accessed: February 5, 2024. [Online]. Available: https://pollinginstitute.id/

[18] N. Shrestha, “Detecting multicollinearity in regression analysis,” Am. J. Appl. Math. Stat., vol. 8, no. 2, pp. 39–42, 2020, doi: https://doi.org/10.12691/ajams-8-2-1.

[19] A. A. A. Nissa and M. Herlina, “Multigroup analysis partial least square dalam PLS-SEM pada faktor-faktor yang mempengaruhi kesuksesan website Desa Cimenyan,” Bandung Conf. Ser. Stat., vol. 2, no. 2, 2022, doi: https://doi.org/10.29313/bcss.v2i2.3862.

[20] X. Fu and Z. Juan, “Exploring the psychosocial factors associated with public transportation usage and examining the ‘gendered’ difference,” Transp. Res. Part A Policy Pract., vol. 103, pp. 70–82, 2017, doi: https://doi.org/10.1016/j.tra.2017.05.017.

[21] J. Hair and A. Alamer, “Partial least squares structural equation modeling (pls-sem) in second language and education research: Guidelines using an applied example,” Research Methods in Applied Linguistics, vol. 1, no. 3, Dec. 2022.doi: https://doi.org/10.1016/j.rmal.2022.100027

[22] K. Mouratidis, D. Ettema, and P. Næss, “Urban form, travel behavior, and travel satisfaction,” Transp. Res. Part A Policy Pract., vol. 129, pp. 306–320, 2019, doi: https://doi.org/10.1016/j.tra.2019.09.002.

[23] T. Li and J. Jiang, “Enhancing the combined-TAM-TPB model with trust in the sharing economy context: A meta-analytic structural equation modeling approach,” J. Clean. Prod., vol. 442, 2024, doi: https://doi.org/10.1016/j.jclepro.2024.141168.

[24] L. Li and Y. Zhang, “An extended theory of planned behavior to explain the intention to use carsharing: A multi-group analysis of different socio-demographic characteristics,” Springer US Transportation, vol. 50, no. 1, 2023, doi: https://doi.org/10.1007/s11116-021-10240-1.

Downloads

Published

2025-09-01

How to Cite

[1]
Amalia Romadhona Ghiffarri Putri, Vertic Eridani Budi Darmawan, and Yuh Wen Chen, “Understanding Ride-Hailing Adoption Among Generation Z in Malang: An Integrated TPB-TAM Framework”, J. Tek. Ind. J. Keilmuan dan Apl. Tek. Ind., vol. 27, no. 2, pp. 179–190, Sep. 2025.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.